Paper – Poster ID assignment can be found here.
Session 1: Microscopy and Photo-optical Imaging
Monday, October 14, 12:00 – 13:00
| M-1-B-005 | Synapse-Aware Skeleton Generation for Neural Circuits |
| Brian Matejek, Donglai Wei, Xueying Wang, Jinglin Zhao, Kalman Palagyi, Hanspeter Pfister | |
| M-1-B-014 | High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions |
| Yi Zhou, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao | |
| M-1-B-023 | CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation |
| Lei Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang Gu, Huaying Hao, Hong Qi, Yalin Zheng, Alejandro Frangi, Jiang Liu | |
| M-1-B-032 | DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks |
| Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Qiao Jie, Yi Zhao | |
| M-1-B-041 | From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification |
| Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Mingkui Tan, Qingyao Wu, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Junzhou Huang | |
| M-1-B-048 | Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction in vivo |
| Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao | |
| M-1-B-057 | A Deep Reinforcement Learning Framework for Frame-by-frame Plaque Tracking on Intravascular Optical Coherence Tomography Image |
| Gongning Luo, Suyu Dong, Kuanquan Wang, Dong Zhang, Yue Gao, Xin Chen, Henggui Zhang, Shuo Li | |
| M-1-B-071 | Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning |
| Rongchang Zhao, Zailiang Chen, Xiyao Liu, Beiji Zou, Shuo Li | |
| M-1-B-080 | PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation |
| Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan | |
| M-1-B-090 | IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation |
| Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng | |
| M-1-B-099 | Patch Transformer for Multi-tagging Whole Slide Histopathology Images |
| Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo | |
| M-1-B-109 | Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images |
| Niyun Zhou, De Cai, Xiao Han, Jianhua Yao | |
| M-1-B-114 | Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer |
| Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman | |
| M-1-B-123 | Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography |
| Rhona Asgari, Jose Orlando, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic | |
| M-1-B-132 | Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier |
| Hanbo Chen, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang, Jianhua Yao | |
| M-1-B-135 | Nuclei Segmentation in Histopathological Images using Two-Stage Learning |
| Qingbo Kang, Qicheng Lao, Thomas Fevens | |
| M-1-B-158 | Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening |
| Xi Wang, Hao Chen, Luyang Luo, An-Ran Ran, Poemen Pui Man Chan, Clement Chee Yung Tham, Carol Yim Lui Cheung, Pheng-Ann Heng | |
| M-1-M-163 | CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation |
| Peng Liu, Bin Kong, Li Zhongyu, Shaoting Zhang, Ruogu Fang | |
| M-1-M-179 | Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations |
| Han Le, Dimitris Samaras, Tahsin Kurc, Rajarsi Gupta, Shroyer Kenneth, Joel Saltz | |
| M-1-M-188 | Uncertainty guided semisupervised segmentation of retinal layers in OCT images |
| Suman Sedai, Bhavna Antony, Ravneet Rai, Katie Jones, Hiroshi Ishikawa, Joel Schuman, Wollstein Gadi, Rahil Garnavi | |
| M-1-M-193 | Fully Deep Learning for Slit-lamp Photo based Nuclear Cataract Grading |
| Chaoxi Xu, Xiangjia Zhu, Wenwen He, Yi Lu, Xixi He, Zongjiang Shang, Jun Wu, Keke Zhang, Yinglei Zhang, Xianfang Rong, Zhennan Zhao, Lei Cai, Dayong Ding, Xirong Li | |
| M-1-M-202 | PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis |
| Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng | |
| M-1-M-209 | Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification |
| Fuyong Xing, Tell Bennett, Debashis Ghosh | |
| M-1-M-218 | Deep Segmentation-Emendation Model for Gland Instance Segmentation |
| Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia | |
| M-1-M-223 | Attention Guided Network for Retinal Image Segmentation |
| Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu | |
| M-1-M-232 | Deep Instance-Level Hard Negative Mining Model for Histopathology Images |
| Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian Lovell | |
| M-1-M-239 | EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast |
| Changchun Yang, Fei Gao | |
| M-1-M-248 | As easy as 1, 2… 4? Uncertainty in counting tasks for medical imaging |
| Zach Eaton-Rosen, Thomas Varsavsky, Sebastien Ourselin, Jorge Cardoso | |
| M-1-M-253 | Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis |
| Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng | |
| M-1-M-262 | Progressive Learning for Neuronal Population Reconstruction from Optical Microscopy Images |
| Jie Zhao, Xuejin Chen, Zhiwei Xiong, Dong Liu, Junjie Zeng, Yueyi Zhang, Zheng-Jun Zha, Guoqiang Bi, Feng Wu | |
| M-1-M-269 | Encoding histopathological WSIs using GNN for scalable diagnostically relevant regions retrieval |
| Yushan Zheng, Bonan Jiang, Jun Shi, Haopeng Zhang, Fengying Xie | |
| M-1-M-278 | Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response |
| Kazuya Nishimura, Ker Dai Fei Elmer, Ryoma Bise | |
| M-1-M-283 | Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells |
| Artem Lukoyanov, Isabella Haberbosch, Constantin Pape, Alwin Kraemer, Yannick Schwab, Anna Kreshuk | |
| M-1-M-292 | GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy |
| Laxmi Gupta, Barbara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr | |
| M-1-M-299 | Evidence Localization for Pathology Images using Weakly Supervised Learning |
| Yongxiang Huang, Albert Chung | |
| M-1-M-308 | Active Appearance Model Induced Generative Adversarial Networks for Controlled Data Augmentation |
| Jianfei Liu, Christine Shen, Tao Liu, Nancy Aguilera, Johnny Tam | |
| M-1-M-313 | Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss |
| Hui Qu, Zhennan Yan, Gregory Riedlinger, Subhajyoti De, Dimitris Metaxas | |
| M-1-M-322 | Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes |
| Jingru Yi, Pengxiang Wu, Hui Qu, Qiaoying Huang, Daniel J. Hoeppner, Dimitris Metaxas, Bo Liu | |
| M-1-M-332 | Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy |
| Neel Dey, Jeffrey Messinger, Roland Theodore Smith, Christine Curcio, Guido Gerig | |
| M-1-F-347 | Vessel-Net: Retinal Vessel Segmentation under Multi-path Supervision |
| Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai | |
| M-1-F-356 | Limited-Angle Diffuse Optical Tomography Image Reconstruction using Deep Learning |
| Hanene Ben Yedder, Majid Shokoufi, Ben Cardoen, Farid Golnaraghi, Ghassan Hamarneh | |
| M-1-F-374 | CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels |
| Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian Lovell | |
| M-1-F-380 | Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images |
| Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman Kim | |
| M-1-F-394 | Precise Separation of Adjacent Nuclei using a Siamese Neural Network |
| Miguel Luna, Kwon Mungi, Sanghyun Park | |
| M-1-F-403 | Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging |
| Chi Liu, Wei Wang, Zhixi Li, Yu Jiang, Xiaotong Han, Jason Ha, Wei Meng, Mingguang He | |
| M-1-F-408 | Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models |
| Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger Roth, Masahiro Oda, Kensaku Mori | |
| M-1-F-422 | Multi-task learning of a deep K-nearest neighbour network for histopathological image classification and retrieval |
| Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr | |
| M-1-E-451 | Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate |
| Junya Hayashida, Ryoma Bise | |
| M-1-E-456 | Deep Multi-Instance Learning for survival prediction from Whole Slide Images |
| Jiawen Yao, Xinliang Zhu, Junzhou Huang | |
| M-1-E-461 | Combined Learning for Similar Tasks with Domain-Switching Networks |
| Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier, Dorit Merhof | |
| M-1-E-467 | PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning |
| Yukun Chen, Chenyan Wu, Zhuomin Zhang, Jeffery Goldstein, Alison Gernand, James Wang | |
| M-1-E-476 | ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images |
| Yeman Brhane Hagos, Priya Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan | |
| M-1-E-485 | Unsupervised Subtyping of Cholangiocarcinoma Using A Deep Clustering Convolutional Autoencoder |
| Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Boerner, Linda M. Pak, Stefan Büttner, Jan N.M. Ijzermans, Bas Groot Koerkamp, Michael Doukas, William Jarnagin, Amber Simpson, Thomas Fuchs | |
| M-1-E-496 | Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy images |
| Ario Sadafi, Niklas Koehler, Asya Makhro, Anna Bogdanova, Nassir Navab, Carsten Marr, Tingying Peng | |
| M-1-E-505 | Whole-Sample Mapping of Cancerous and Benign Tissue Properties |
| Lydia Neary-Zajiczek, Clara Essmann, Neil Clancy, Aiman Haider, Elena Miranda, Amir Gander, Mike Shaw, Brian Davidson, Delmiro Fernandez Reyes, Vijay Pawar, Danail Stoyanov | |
| M-1-E-514 | Accelerated ML-assisted Tumor Detection in High-Resolution Histopathology Images |
| Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Charalampos Pozidis | |
| M-1-E-516 | Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework |
| Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir Rajpoot | |
| M-1-E-521 | Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification |
| Yuan Xue, Qianying Zhou, Jiarong Ye, L.Rodney Long, Sameer Antani, Carl Cornwell, Zhiyun Xue, Xiaolei Huang | |
| M-1-E-526 | Coidentification of group-level hole structures in brain networks via Hodge Laplacian |
| Hyekyoung Lee, Moo Chung, Hyejin Kang, Hongyoon Choi, Youngmin Huh, Seunggyun Ha, Eunkyung Kim, Dong Soo Lee | |
| M-1-E-531 | Diverse Multiple Prediction on Neural Image Reconstruction |
| Ze Ye, Cong Chen, Changhe Yuan, Chao Chen | |
| M-1-E-536 | Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification |
| Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang |
Session 2: NeuroImaging
Monday, October 14, 13:00 – 14:00
| M-2-B-001 | Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE |
| Vishwesh Nath, Ilwoo Lyu, Kurt Schilling, Prasanna Parvathaneni, Colin Hansen, Yucheng Tang, Justin Blaber, Yuankai Huo, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Adam Anderson, Bennett Landman | |
| M-2-B-010 | Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale |
| Archit Rathore, Sourabh Palande, Jeffrey Anderson, Brandon Zielinski, Tom Fletcher, Bei Wang | |
| M-2-B-019 | Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-rank Feature Learning |
| Yujia Zhao, Haijun Lei, Ee-Leng Tan, Jong Yih Kuo, Hancong Li, Baiying Lei | |
| M-2-B-028 | A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics |
| Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon Risacher, Junwei Han, Lei Guo, Andrew Saykin, Li Shen | |
| M-2-B-037 | Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation |
| Baha Eddine Ezzine, Islem Rekik | |
| M-2-B-044 | Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction |
| Tao Zhou, Kim Han Thung, Yu Zhang, Huazhu Fu, Jianbing Shen, Dinggang Shen, Ling Shao | |
| M-2-B-053 | Combining Multiple Behavioral Measures and Multiple Connectomes via Multiway Canonical Correlation Analysis |
| Siyuan Gao, Xilin Shen, Todd Constable, Dustin Scheinost | |
| M-2-B-062 | Revealing Functional Connectivity by Learning Graph Laplacian |
| Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul Laurienti, Guorong Wu | |
| M-2-B-067 | Constructing Multi-Scale Connectome Atlas by Learning Common Topology of Brain Networks |
| Minjeong Kim, Xiaofeng Zhu, Ziwen Peng, Peipeng Liang, Daniel Kaufer, Paul Laurienti, Guorong Wu | |
| M-2-B-076 | Super-Resolved q-Space Deep Learning |
| Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu | |
| M-2-B-084 | Unsupervised deep learning for Bayesian brain MRI segmentation |
| Adrian Dalca, Evan Yu, Polina Golland, Bruce Fischl, Mert Sabuncu, Juan Iglesias | |
| M-2-B-094 | Hydranet: Data Augmentation for Regression Neural Networks |
| Florian Dubost, Gerda Bortsova, Hieab Adams, M. Arfan Ikram, Wiro Niessen, Meike Vernooij, Marleen De Bruijne | |
| M-2-B-103 | Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph From a Baseline Graph |
| Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik | |
| M-2-B-110 | Surface-based Tracking of U-fibers in the Superficial White Matter |
| Jin Kyu Gahm, Yonggang Shi | |
| M-2-B-119 | Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference |
| Christian Wachinger, Benjamin Gutierrez Becker, Anna Rieckmann, Sebastian Pölsterl | |
| M-2-B-128 | Clustering of longitudinal shape data sets using mixture of separate or branching trajectories |
| Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière | |
| M-2-B-139 | Neural parameters estimation for brain tumor growth modeling |
| Ivan Ezhov, Jana Lipkova, Suprosanna Shit, Florian Kofler, Nore Collomb, Benjamin Lemasson, Emmanuel Barbier, Bjoern Menze | |
| M-2-B-147 | Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging |
| Martin Nørgaard, Brice Ozenne, Claus Svarer, Vibe Frokjaer, Martin Schain, Stephen Strother, Melanie Ganz | |
| M-2-B-153 | Let’s agree to disagree: learning highly debatable multirater labelling. |
| Carole Sudre, Beatriz Gomez Anson, Silvia Ingala, Daniel Jimenez, Chris Lane, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sebastien Ourselin, Rolf Jäger, Jorge Cardoso | |
| M-2-B-162 | Early Prediction of Alzheimer’s Disease progression using Variational Autoencoder |
| Sumana Basu, Konrad Wagstyl, Azar Zandifar, Louis Collins, Adriana Romero, Doina Precup | |
| M-2-M-167 | Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis |
| Tao Zhou, Mingxia Liu, Huazhu Fu, Jun Wang, Jianbing Shen, Ling Shao, Dinggang Shen | |
| M-2-M-172 | Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network |
| Jiashuang Huang, Luping Zhou, Daoqiang Zhang, Lei Wang | |
| M-2-M-177 | Multimodal Data Registration for Brain Structural Association Networks |
| David Lee, Ashish Sahib, Ben Wade, Katherine Narr, Gerhard Hellemann, Roger Woods, Shantanu Joshi | |
| M-2-M-183 | Consistent Brain Ageing Synthesis |
| Tian Xia, Agisilaos Chartsias, Sotirios Tsaftaris, The Alzheimers Disease Neuroimaging Initiative N/A | |
| M-2-M-192 | Hierarchical Multi-Geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates |
| Sungmin Hong, James Fishbaugh, Jason Wolff, Martin Styner, Guido Gerig | |
| M-2-M-198 | A Novel Graph Wavelet Model for Brain Multi-Scale Activational-connectional Feature Fusion |
| Wenyan Xu, Qing Li, Zhiyuan Zhu, Xia Wu | |
| M-2-M-207 | Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data |
| Niharika D’Souza, Mary Beth Nebel, Nicholas Wymbs, Stewart Mostofsky, Archana Venkataraman | |
| M-2-M-213 | Constructing Consistent Longitudinal Brain Networks by Group-wise Graph Learning |
| Md Turja, Leo Zsembik, Guorong Wu, Martin Styner | |
| M-2-M-222 | DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography |
| Itay Benou, Tammy Riklin Raviv | |
| M-2-M-228 | Variational Autoencoder for Regression: Application to Brain Aging Analysis |
| Qingyu Zhao, Nicolas Honnorat, Ehsan Adeli, Tuo Leng, Kilian Pohl | |
| M-2-M-237 | Interpretable Feature Learning Using Multi-Output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis |
| Jun Wang, Ying Zhang, Tao Zhou, Zhaohong Deng, Huifang Huang, Wang Shitong | |
| M-2-M-243 | AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation |
| Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis De Senneville, Vinh-Thong Ta, Vincent Lepetit, Jose Manjon | |
| M-2-M-252 | TopAwaRe: Topology-Aware Registration |
| Rune Nielsen, Sune Darkner, Aasa Feragen | |
| M-2-M-258 | RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting |
| Elisabeth Hoppe, Florian Thamm, Gregor Koerzdoerfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier | |
| M-2-M-267 | CoCa-GAN: Common-feature-learning-based Context-aware Generative Adversarial Network for Glioma Grading |
| Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen | |
| M-2-M-273 | Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brains |
| Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen | |
| M-2-M-282 | Deep Probabilistic Modeling of Glioma Growth |
| Jens Petersen, Paul Jäger, Fabian Isensee, Simon Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein | |
| M-2-M-288 | An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms |
| Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao | |
| M-2-M-297 | Graph Neural Network for Interpreting Task-fMRI Biomarkers |
| Xiaoxiao Li, Nicha Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James Duncan | |
| M-2-M-303 | Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions |
| Lyujian Lu, Saad Elbeleidy, Lauren Baker, Hua Wang, Heng Huang, Li Shen | |
| M-2-M-312 | Disease Knowledge Transfer across Neurodegenerative Diseases |
| Razvan Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra Young, Pere Planell Morell, Neil Oxtoby, Arman Eshaghi, Keir Yong, Sebastian Crutch, Polina Golland, Daniel Alexander | |
| M-2-M-318 | Automated Parcellation of the Cortex using Structural Connectome Harmonics |
| Hoyt Taylor, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap | |
| M-2-M-327 | Probing Brain Micro-Architecture by Orientation Distribution Invariant Identification of Diffusion Compartments |
| Khoi Huynh, Tiantian Xu, Ye Wu, Geng Chen, Kim-Han Thung, Haiyong Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap | |
| M-2-M-331 | Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments |
| Khoi Huynh, Tiantian Xu, Ye Wu, Kim-Han Thung, Geng Chen, Weili Lin, Dinggang Shen, Pew-Thian Yap | |
| M-2-M-336 | Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators |
| Bernhard Egger, Markus Schirmer, Florian Dubost, Marco Nardin, Natalia Rost, Polina Golland | |
| M-2-M-342 | Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis |
| Zhicheng Jiao, Tae-Eui Kam, Ye Wu, Eybposh Mohammad Hossein, Pu Huang, Li-Ming Hsu, Han Zhang, Dinggang Shen | |
| Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions | |
| Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang | |
| M-2-F-352 | Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework |
| Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen F. Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman | |
| M-2-F-361 | Identify Hierarchical Structures from Task-based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net |
| Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu | |
| M-2-F-363 | Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-state fMRI |
| Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu, Han Zhang, Dinggang Shen | |
| M-2-F-370 | Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices |
| Huahong Zhang, Alessandra Valcarcel, Rohit Bakshi, Renxin Chu, Francesca Bagnato, Russell Shinohara, Kilian Hett, Ipek Oguz | |
| M-2-F-376 | Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression |
| Daniele Ravì, Daniel Alexander, Neil Oxtoby | |
| M-2-F-385 | Optimal experimental design for biophysical modelling in multidimensional diffusion MRI |
| Santiago Coelho, Jose M. Pozo, Sune Jespersen, Alejandro Frangi | |
| M-2-F-390 | Fast Polynomial Approximation to Heat Diffusion in Manifolds |
| Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo Chung | |
| M-2-F-399 | Uncertainty-informed detection of epileptogenic brain malformations using Bayesian neural networks |
| Ravnoor Gill, Benoit Caldairou, Neda Bernasconi, Andrea Bernasconi | |
| M-2-F-404 | Intrinsic Patch-based Cortical Anatomical Parcellation using Graph Convolutional Neural Network on Surface Manifold |
| Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Gang Li, Dinggang Shen | |
| M-2-F-413 | Hierarchical parcellation of the cerebellum |
| Shuo Han, Aaron Carass, Jerry Prince | |
| Interpretable Multimodality Embedding Of Cerebral Cortex Using Attention Graph Network For Identifying Bipolar Disorder | |
| Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James Duncan, James Gee, Shi Gu | |
| M-2-F-427 | Joint Identification of Network Hub Nodes by Multivariate Graph Inference |
| Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu | |
| M-2-F-434 | Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks |
| Gihyun Kwon, Chihye Han, Daeshik Kim | |
| M-2-E-437 | Multi-layer temporal network analysis reveals increasing temporal reachability and spreadability in the first two years of life |
| Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan, Dinggang Shen | |
| M-2-E-442 | Recurrent sub-volume analysis of head CT scans for the detection of intracranial hemorrhage |
| Vidya M S, Yogish Mallya, Arun Shastry, Vijayananda J | |
| M-2-E-447 | Complete Fetal Head Compounding from Multi-View 3D Ultrasound |
| Robert Wright, Nicolas Toussaint, Alberto Gomez, Veronika Zimmer, Jacqueline Matthew, Emily Skelton, Bishesh Khanal, Bernhard Kainz, Daniel Rueckert, Joseph Hajnal, Julia Schnabel | |
| M-2-E-452 | Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties |
| Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John Gilmore, Dinggang Shen, Gang Li | |
| M-2-E-457 | A Deep Learning Framework for Noise Component Detection from Resting-state Functional MRI |
| Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen | |
| M-2-E-462 | Harmonization of Infant Cortical Thickness using Surface-to-Surface Cycle-Consistent Adversarial Networks |
| Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li | |
| M-2-E-471 | Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network |
| Kimberlin van Wijnen, Florian Dubost, Pinar Yilmaz, M. Arfan Ikram, Wiro Niessen, Hieab Adams, Meike Vernooij, Marleen De Bruijne | |
| M-2-E-480 | Deep white matter analysis: fast, consistent tractography segmentation across populations and dMRI acquisitions |
| Fan Zhang, Nico Hoffmann, Suheyla Cetin Karayumak, Yogesh Rathi, Alexandra Golby, Lauren O’Donnell | |
| M-2-E-492 | Early Development of Infant Brain Complex Network |
| Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen | |
| M-2-E-501 | Fast and Scalable Optimal Transport for Brain Tractograms |
| Jean Feydy, Pierre Roussillon, Alain Trouve, Pietro Gori | |
| M-2-E-510 | A matched filter decomposition of fMRI into resting and task components |
| Anand Joshi, Haleh Akrami, Jian Li, Richard Leahy | |
| M-2-E-515 | Cortical Surface Parcellation using Spherical Convolutional Neural Networks |
| Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil Woodward, Daniel Classen, Carissa Cascio, David Zald, Yuankai Huo, Bennett Landman, Ilwoo Lyu | |
| M-2-E-520 | Topographic Filtering of Tractograms as Vector Field Flows |
| Xinyu Nie, Yonggang Shi | |
| M-2-E-525 | Learned attention maps for 3D CNN prediction of future disease progression from patient images |
| Adrian Tousignant, Mahsa Dadar, Louis Collins, Doina Precup, Douglas Arnold, Tal Arbel | |
| M-2-E-530 | Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression |
| Wonsik Jung, Ahmad Wisnu Mulyadi, Heung-Il Suk | |
| M-2-E-535 | Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance |
| Kris Campbell, Tom Fletcher, Jeffrey Anderson | |
| M-2-E-540 | HR-CAM: Precise Localization of pathology using multi-level learning in CNNs |
| Sumeet Shinde, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar |
Session 3: Segmentation and Registration 1
Monday, October 14, 15:30 – 16:30
| M-3-B-002 | 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI |
| Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, Jiangyun Li | |
| M-3-B-011 | Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network |
| Hulin Kuang, Bijoy Menon, Wu Qiu | |
| M-3-B-020 | Discriminative Consistent Domain Generation for Semi-supervised Learning |
| Jun Chen, Guang Yang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong, David Firmin, Heye Zhang, Jennifer Keegan | |
| M-3-B-029 | Automatic Vertebrae Recognition from Arbitrary Spine MRI images by a Hierarchical Self-calibration Detection Framework |
| Shen Zhao, Xi Wu, Bo Chen, Shuo Li | |
| M-3-B-038 | ET-Net: A Generic Edge-Attention Guidance Network for Medical Image Segmentation |
| Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao | |
| M-3-B-045 | Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation |
| Haidong Zhu, Jialin Shi, Ji Wu | |
| M-3-B-054 | Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention |
| Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong (Terry) Yin, Simon See | |
| M-3-B-063 | Multi-View Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis |
| Tingting Chen, Xinjun Ma, Xuechen Liu, Wenzhe Wang, Ruiwei Feng, Jintai Chen, Chunnv Yuan, Weiguo Lu, Danny Chen, Jian Wu | |
| M-3-B-068 | 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation |
| Magdalini Paschali, Stefano Gasperini, Abhijit Guha Roy, Michael Fang, Nassir Navab | |
| M-3-B-077 | Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation |
| Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng | |
| M-3-B-085 | Radiomics-guided GAN for Segmentation of Liver Tumor without Contrast Agents |
| Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Jaron Chong, Xiaotang Yang, Ntikurako Guy-Fernand Kazihise, Bo Chen, Shuo Li | |
| M-3-B-093 | VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation |
| Zhipeng Ding, Xu Han, Marc Niethammer | |
| M-3-B-102 | Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss |
| Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sebastien Ourselin, Tom Vercauteren | |
| M-3-B-111 | Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography |
| Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao | |
| M-3-B-120 | A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes |
| Bo Li, Wiro Niessen, Stefan Klein, Marius de Groot, Arfan Ikram, Meike Vernooij, Esther Bron | |
| M-3-B-129 | Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation |
| Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes | |
| M-3-B-138 | Multi-task Attention-based Semi-supervised Learning for Medical Image Segmentation |
| Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs Van Tulder, Marleen De Bruijne | |
| M-3-B-146 | Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning |
| Kai Wu, Bowen Du, Man Luo, Hongkai Wen, Yiran Shen, Jianfeng Feng | |
| M-3-B-152 | Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation |
| Zeju Li, Konstantinos Kamnitsas, Ben Glocker | |
| M-3-B-161 | Integrating 3D Geometry of Organ for Improving Medical Imaging Segmentation |
| Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang | |
| M-3-M-166 | LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization |
| Jintai Chen, Yanjie Wang, Ruoqian Guo, Bohan Yu, Tingting Chen, Wenzhe Wang, Ruiwei Feng, Danny Chen, Jian Wu | |
| M-3-M-171 | Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation |
| Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng | |
| M-3-M-176 | Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation |
| Chaowei Fang, Guanbin Li, Chengwei Pan, Yizhou Yu | |
| M-3-M-182 | Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors |
| Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang | |
| M-3-M-191 | From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network |
| Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu | |
| M-3-M-199 | Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels |
| Martin Zlocha, Qi Dou, Ben Glocker | |
| M-3-M-212 | A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration |
| Riddhish Bhalodia, Shireen Elhabian, Ladislav Kavan, Ross Whitaker | |
| M-3-M-221 | Automated Pulmonary Embolism Detection from CTPA Images using an End-to-End Convolutional Neural Network |
| Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang | |
| M-3-M-229 | Incompressible image registration using divergence-conforming B-splines |
| Lucas Fidon, Michael Ebner, Luis Garcia-Peraza Herrera, Marc Modat, Sebastien Ourselin, Tom Vercauteren | |
| M-3-M-242 | Instance Segmentation from Volumetric Biomedical Images without Voxel-Wise Labeling |
| Meng Dong, Dong Liu, Zhiwei Xiong, Xuejin Chen, Yueyi Zhang, Zheng-Jun Zha, Guoqiang Bi, Feng Wu | |
| M-3-M-251 | Placental Flattening via Volumetric Parameterization |
| Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Ellen Grant, Justin Solomon, Polina Golland | |
| M-3-M-259 | Simultaneous Lung Field Detection and Segmentation for Pediatric ChestRadiographs |
| Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang | |
| M-3-M-272 | Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network |
| Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng | |
| M-3-M-281 | Dual Encoding U-Net for Retinal Vessel Segmentation |
| Wang Bo, Shuang Qiu, Huiguang He | |
| M-3-M-289 | A deep learning approach to MR-less spatial normalization for tau PET images |
| Jennifer Alvén, Kerstin Heurling, Ruben Smith, Olof Strandberg, Michael Schöll, Oskar Hansson, Fredrik Kahl | |
| M-3-M-302 | Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration |
| Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng | |
| M-3-M-311 | Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images |
| Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang | |
| M-3-M-319 | A Divide-and-Conquer Approach towards Understanding Deep Networks |
| Weilin Fu, Andreas Maier, Nishant Ravikumar, Roman Schaffert, Katharina Breininger | |
| M-3-M-330 | Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation |
| Junlin Yang, Nicha Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James Duncan | |
| M-3-M-335 | Unsupervised Ensemble Strategy for Retinal Vessel Segmentation |
| Bo Liu, Lin Gu, Feng Lu | |
| M-3-M-341 | Scalable Neural Architecture Search for 3D Medical Image Segmentation |
| Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim | |
| M-3-F-344 | Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification |
| Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng | |
| M-3-F-353 | DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy |
| Yuting He, Guanyu Yang, Y Ang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Huazhong Shu, Jean-Louis Coatrieux, Pengfei Shao, Shaobo Zhang, Shuo Li | |
| M-3-F-362 | Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction |
| Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert | |
| M-3-F-364 | Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view images |
| Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen, Wenjia Bai, Daniel Rueckert | |
| M-3-F-371 | Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation |
| Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert | |
| M-3-F-377 | Right Ventricle Segmentation in Short-Axis MRI Using A Shape Constrained Dense Connected U-net |
| Hao Yang, Zexiong Liu, Xuan Yang | |
| M-3-F-386 | Semi-supervised Medical Image Segmentation via Learning Consistency under Transformations |
| Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen De Bruijne | |
| M-3-F-391 | SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation |
| Ken C. L. Wong, Mehdi Moradi | |
| M-3-F-400 | Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images |
| Wenguang Yuan, Jia Wei, Jiabing Wang, Qianli Ma, Tolga Tasdizen | |
| M-3-F-405 | Improved Inference via Deep Input Transfer |
| Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh | |
| M-3-F-414 | Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion |
| Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu | |
| M-3-F-419 | Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk |
| Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu | |
| M-3-F-428 | Mixed-Supervised Dual-Network for Medical Image Segmentation |
| Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jayender Jagadeesan | |
| M-3-F-435 | Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging |
| Zhifan Gao, Shuo Li | |
| M-3-E-438 | Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints |
| Long Chen, Martin Strauch, Dorit Merhof | |
| M-3-E-443 | HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion |
| Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Chen | |
| M-3-E-448 | Fast and Accurate Electron Microscopy Image Registration with 3D Convolution |
| Shenglong Zhou, Zhiwei Xiong, Chang Chen, Xuejin Chen, Dong Liu, Yueyi Zhang, Zheng-Jun Zha, Feng Wu | |
| M-3-E-453 | On the applicability of registration uncertainty |
| Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra Golby, Masashi Sugiyama, William Wells, Sarah Frisken | |
| M-3-E-458 | Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network |
| Shadab Khan, Ahmed Shahin, Javier Villafruela, Jianbing Shen, Ling Shao | |
| M-3-E-470 | 3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection |
| Jingya Liu, Yingli Tian, Liangliang Cao, Oguz Akin | |
| M-3-E-479 | DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation |
| Zhenlin Xu, Marc Niethammer | |
| M-3-E-488 | One Network To Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation |
| Mathias Perslev, Erik Dam, Akshay Pai, Christian Igel | |
| M-3-E-493 | Echocardiography Segmentation by Quality Translation using Anatomically Constrained CycleGAN |
| Mohammad Jafari, Zhibin Liao, Hany Girgis, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi | |
| M-3-E-502 | PseudoEdgeNet: Nuclei Segmentation only with Point Annotations |
| Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng | |
| M-3-E-511 | High Resolution Medical Image Segmentation using Data-swapping Method |
| Haruki Imai, Samuel Matzek, Tung Le, Yasushi Negishi, Kiyokuni Kawachiya | |
| M-3-E-519 | Statistical intensity- and shape-modeling to automate cerebrovascular segmentation from TOF-MRA data |
| Shoujun Zhou, Na Li, Aichi Chien, Zonghan Wu, Cheng Wang, Baochang Zhang, Tiexiang Wen | |
| M-3-E-524 | MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection |
| Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu | |
| M-3-E-529 | X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies |
| Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang | |
| M-3-E-534 | 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation |
| Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, S. Kevin Zhou | |
| M-3-E-539 | AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks |
| Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yuemin Zhu, Guang-Zhong Yang |
Session 4: Segmentation and Registration 2
Tuesday, October 15, 11:30 – 12:30
| T-4-B-003 | Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation |
| Alain Jungo, Mauricio Reyes | |
| T-4-B-012 | Multi-View Semi-supervised 3D Whole Brain Segmentation with a Self-Ensemble Network |
| Yuan-Xing Zhao, Yanming Zhang, Ming Song, Cheng-Lin Liu | |
| T-4-B-021 | Learning task-specific and shared representations in medical imaging |
| Felix Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel Alexander, Jorge Cardoso | |
| T-4-B-030 | The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN |
| Wenjun Yan, Qian Tao, Yuanyuan Wang | |
| T-4-B-039 | LVC-Net: Medical image segmentation with noisy label based on Local Visual Cues |
| Yucheng Shu, Xiao Wu, Weisheng Li | |
| T-4-B-046 | Selective Feature Aggregation Network with Area-boundary Constraints for Polyp Segmentation |
| Yuqi Fang, Cheng Chen, Delong Zhu, Yixuan Yuan, Kai-Yu Tong | |
| T-4-B-055 | Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning |
| Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, Jing Qin | |
| T-4-B-064 | Project & Excite’ Modules for Segmentation of Volumetric Medical Scans |
| Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger | |
| T-4-B-069 | Multi-Class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation |
| Qin Liu, Xiongfeng Tang, Deming Guo, Yanguo Qin, Pengfei Jia, Yiqiang Zhan, Xiang Zhou, Dijia Wu | |
| T-4-B-078 | Extract Bone Parts without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment |
| Chuanbin Liu, Hongtao Xie, Yizhi Liu, Zheng-Jun Zha, Fanchao Lin, Yongdong Zhang | |
| T-4-B-086 | Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation |
| Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang | |
| T-4-B-092 | Mask-MCNet: Instance Segmentation in 3D Point Cloud of Intra-oral Scans |
| Farhad Ghazvinian Zanjani, David Anssari Moin, Teo Cherici, Sarah Parinussa, Frank Claessen, Arash Pourtaherian, Sveta Zinger, P. H. N. De With | |
| T-4-B-101 | Interactive deep editing framework for medical image segmentation |
| Bowei Zhou, Li Chen, Zhao Wang | |
| T-4-B-112 | Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray |
| Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Zhou, Qian Wang, Jie-Zhi Cheng | |
| T-4-B-121 | Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice |
| Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew Blaschko | |
| T-4-B-125 | Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images through Recurrent Attention |
| Jia-Bin Huang, Enhong Zhuo, Haojiang Li, Lizhi Liu, Yangming Ou, Hongmin Cai | |
| T-4-B-130 | CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke |
| Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang | |
| T-4-B-137 | Matwo-CapsNet: a Multi-Label Semantic Segmentation Capsules Network |
| Savinien Bonheur, Darko Stern, Christian Payer, Michael Pienn, Horst Olschewski, Martin Urschler | |
| T-4-B-145 | Brain Segmentation from k-space with End-to-end Recurrent Attention Network |
| Qiaoying Huang, Xiao Chen, Dimitris Metaxas, Mariappan Nadar | |
| T-4-B-151 | Integrating cross-modality hallucinated MR information with CT to aid mediastinal lung tumor segmentation |
| Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Berry Sean, Joseph Deasy, Harini Veeraraghavan | |
| T-4-B-160 | PAN: Projective Adversarial Network for Medical Image Segmentation |
| Naji Khosravan, Aliasghar Mortazi, Michael Wallace, Ulas Bagci | |
| T-4-M-165 | Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks |
| Qi Zeng, Davood Karimi, Emily Ht Pang, Shahed Mohammed, Caitlin Schneider, Mohammad Honarvar, Septimiu Salcudean | |
| T-4-M-170 | Image-and-Spatial Transformer Networks for Structure-Guided Image Registration |
| Matthew Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker | |
| T-4-M-175 | Constrained Domain Adaptation for Segmentation |
| Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed | |
| T-4-M-181 | Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images |
| Nicola Dinsdale, Mark Jenkinson, Ana Ineyda Namburete | |
| T-4-M-190 | Automated detection and type classification of central venous catheters in chest X-rays |
| Vaishnavi Subramanian, Hongzhi Wang, Joy Wu, Ken C. L. Wong, Arjun Sharma, Tanveer Syeda-Mahmood | |
| T-4-M-200 | Whole Heart and Great Vessel Segmentation in Congenital Heart Disease using Deep Neural Networks and Graph Matching |
| Xiaowei Xu, Yiyu Shi, Jian Zhuang, Haiyun Yuan, Meiping Huang, Tianchen Wang, Qianjun Jia | |
| T-4-M-211 | Neural Architecture Search for Adversarial Medical Image Segmentation |
| Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric Xing | |
| T-4-M-220 | Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging |
| Alexander Mader, Cristian Lorenz, Jens Von Berg, Carsten Meyer | |
| T-4-M-230 | Cardiac MRI Segmentation with Strong Anatomical Guarantees |
| Nathan Painchaud, Youssef Skandrani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin | |
| T-4-M-241 | Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders |
| Agostina Larrazabal, Cesar Martinez, Enzo Ferrante | |
| T-4-M-250 | Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data |
| Chunwei Ma, Zhanghexuan Ji, Mingchen Gao | |
| T-4-M-260 | Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images |
| Huai Chen, Xiuying Wang, Yi-Jie Huang, Xiyi Wu, Yizhou Yu, Lisheng Wang | |
| T-4-M-271 | Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images |
| Yizhe Zhang, Michael Ying, Danny Chen | |
| T-4-M-280 | Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks |
| Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng | |
| T-4-M-290 | Group-wise Graph Matching of Cortical Gyral Hinges |
| Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Zhibin He, Lei Guo, Tianming Liu | |
| T-4-M-301 | CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion |
| Yuan Liang, Weinan Song, J.P. Dym, Kun Wang, Lei He | |
| T-4-M-310 | Multi-view Graph Matching of Cortical Landmarks |
| Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang | |
| T-4-M-320 | Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation |
| Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, Guoping Qiu | |
| T-4-M-329 | HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images |
| Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia | |
| T-4-M-334 | Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks |
| Mattias Heinrich | |
| T-4-M-340 | Deep Cascaded Attention Networks for Multi-task Brain Tumor Segmentation |
| Hai Xu, Hongtao Xie, Yizhi Liu, Chuandong Cheng, Chaoshi Niu, Yongdong Zhang | |
| T-4-F-345 | Probabilistic Atlases to Enforce Topological Constraints |
| Udaranga Wickramasinghe, Graham Knott, Pascal Fua | |
| T-4-F-354 | Dual-Stream Pyramid Registration Network |
| Miao Kang, Xiaojun Hu, Weilin Huang, Matthew Scott, Mauricio Reyes | |
| T-4-F-365 | ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths |
| Yanhao Zhu, Zhineng Chen, Shuai Zhao, Hongtao Xie, Wenming Guo, Yongdong Zhang | |
| T-4-F-372 | Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy |
| Mohamed Elmahdy, Jelmer Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring | |
| T-4-F-378 | Tubular Structure Segmentation Using Spatial Fully Connected Network With Radial Distance Loss for 3D Medical Images |
| Chenglong Wang, Yuichiro Hayashi, Masahiro Oda, Hayato Itoh, Takayuki Kitasaka, Alejandro Frangi, Kensaku Mori | |
| T-4-F-387 | Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography |
| Kyoung Jin Noh, Sang Jun Park, Soochahn Lee | |
| T-4-F-392 | A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation |
| Jiong Wu, Yue Zhang, Xiaoying Tang | |
| T-4-F-401 | Online atlasing using an iterative centroid |
| Antoine Legouhy, Olivier Commowick, Christian Barillot | |
| T-4-F-406 | A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation |
| Robin Brügger, Christian Baumgartner, Ender Konukoglu | |
| T-4-F-415 | Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling |
| Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti, Magdalena Sokolska, David Atkinson, Giles Kendall, Alan Bainbridge, Tom Vercauteren, Anna L. David, Sebastien Ourselin, Andrew Melbourne | |
| T-4-F-420 | Unsupervised Quality Control of Image Segmentation based on Bayesian Learning |
| Benoît Audelan, Herve Delingette | |
| T-4-F-429 | U-ReSNet: Ultimate coupling of Registration and Segmentation with deep Nets |
| Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula Mougiakakou, Eric Deutsch, Nikos Paragios | |
| T-4-F-436 | PHiSeg: Capturing Uncertainty in Medical Image Segmentation |
| Christian Baumgartner, Kerem Can Tezcan, Ender Konukoglu, Krishna Chaitanya, Andreas Hoetker, Urs Muehlematter, Olivio Donati, Anton Becker, Khoschy Schawkat, Ender Konukoglu | |
| T-4-E-439 | Generative adversarial network for segmentation of motion affected neonatal brain MRI |
| Nadieh Khalili, Elise Turk, Majd Zreik, Max Viergever, Manon Benders, Ivana Isgum | |
| T-4-E-444 | Unsupervised Deformable Image Registration Using Cycle-Consistent CNN |
| Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye | |
| T-4-E-449 | mlVIRNET: Multilevel Variational Image Registration Network |
| Alessa Hering, Bram Van Ginneken, Stefan Heldmann | |
| T-4-E-454 | Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation |
| Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu | |
| T-4-E-459 | Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images |
| Rula Amer, Jannette Nassar, David Bendahan, Noam Ben-Eliezer, Hayit Greenspan | |
| T-4-E-469 | Curriculum semi-supervised segmentation |
| Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Eric Granger | |
| T-4-E-478 | Bronchial Cartilage Assessment with Model-Based GAN Regressor |
| Pietro Nardelli, George R. Washko, Raul San Jose Estepar | |
| T-4-E-487 | Fully convolutional boundary regression for retina OCT segmentation |
| Yufan He, Aaron Carass, Yihao Liu, Bruno Jedynak, Sharon Solomon, Shiv Saidha, Peter Calabresi, Jerry Prince | |
| T-4-E-494 | Targeting Precision with Data Augmented Samples in Deep Learning |
| Pietro Nardelli, Raul San Jose Estepar | |
| T-4-E-503 | Permutohedral Attention Module for Efficient Non-Local Neural Networks |
| Samuel Joutard, Reuben Dorent, Amanda Isaac, Sebastien Ourselin, Tom Vercauteren, Marc Modat | |
| T-4-E-512 | Spectral CT based training dataset generation and augmentation for conventional CT vascular segmentation |
| Pierre-Jean Lartaud, Aymeric Rouchaud, Jean-Michel Rouet, Olivier Nempont, Loïc Boussel | |
| T-4-E-518 | A Soft STAPLE Algorithm Combined with Anatomical Knowledge |
| Eytan Kats, Jacob Goldberger, Hayit Greenspan | |
| T-4-E-523 | Volumetric Attention for 3D Medical Image Segmentation and Detection |
| Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos | |
| T-4-E-528 | Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences using Contextual Memory |
| Tejas Sudharshan Mathai, Vijay Gorantla, John Galeotti | |
| T-4-E-533 | Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation |
| Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung | |
| T-4-E-538 | Improving Multi-Atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation |
| Long Xie, Jiancong Wang, Mengjin Dong, David Wolk, Paul Yushkevich |
Session 5: Reconstruction, Synthesis and Image Quality
Tuesday, October 15, 13:00 – 14:00
| T-5-B-004 | ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans |
| Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Abugharbieh | |
| T-5-B-013 | Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis |
| Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Jianming Liang | |
| T-5-B-022 | Direct Quantification for Coronary Artery Stenosis Using Multiview Learning |
| Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li | |
| T-5-B-031 | R2-Net: Recurrent and Recursive Network for Sparse-view CT Artifacts Removal |
| Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin | |
| T-5-B-040 | Exploiting Reliability-guided Aggregation for the Assessment of Curvilinear Structure Tortuosity |
| Pan Su, Yitian Zhao, Tianhua Chen, Jianyang Xie, Yifan Zhao, Hong Qi, Yalin Zheng, Jiang Liu | |
| T-5-B-047 | SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis |
| Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu | |
| T-5-B-056 | Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition |
| Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou | |
| T-5-B-065 | Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment |
| Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo | |
| T-5-B-070 | Data-driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks |
| He Zhao, Bingyu Yang, Lvchen Cao, Huiqi Li | |
| T-5-B-079 | Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces |
| Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao | |
| T-5-B-091 | Deep Learning Based Framework for Direct Reconstruction of PET Images |
| Zhiyuan Liu, Huai Chen, Huafeng Liu | |
| T-5-B-100 | Unsupervised Anomaly Localization using Variational Auto-Encoders |
| David Zimmerer, Klaus H. Maier-Hein | |
| T-5-B-108 | Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples |
| Dufan Wu, Kuang Gong, Kyungsang Kim, Xiang Li, Quanzheng Li | |
| T-5-B-113 | Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT |
| Rongjun Ge, Y Ang Chen, Limin Luo, Guanyu Yang, Shuo Li | |
| T-5-B-122 | Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space |
| Ilkay Oksuz, James Clough, Bram Ruijsink, Esther Puyol Anton, Aurelien Bustin, Gastao Cruz, Claudia Prieto, Daniel Rueckert, Andrew King, Julia Schnabel | |
| T-5-B-131 | Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction |
| Jo Schlemper, Sadegh Salehi, Prantik Kundu, Carole Lazarus, Hadrien Dyvorne, Daniel Rueckert, Michal Sofka | |
| T-5-B-136 | Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis |
| Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Loeffler, Jan Kirschke, Bjoern Menze | |
| T-5-B-144 | Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI |
| Liangqiong Qu, Shuai Wang, Pew-Thian Yap, Dinggang Shen | |
| T-5-B-150 | Concept-Centric Visual Turing Tests for Method Validation |
| Tatiana Fountoukidou, Raphael Sznitman | |
| T-5-B-159 | Bayesian Volumetric Autoregressive generative models for better semisupervised learning |
| Guilherme Pombo, Robert Gray, Parashkev Nachev, John Ashburner, Thomas Varsavsky | |
| T-5-M-164 | Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking |
| Yuhua Chen, Jaime Shaw, Yibin Xie, Debiao Li, Anthony Christodoulou | |
| T-5-M-169 | Semi-Supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control |
| Mahmoud Mostapha, Juan Prieto, Veronica Murphy, Jessica Girault, Mark Foster, Joseph Blocher, Ashley Rumple, Weili Lin, Jed Ellison, John Gilmore, Steve Pizer, Martin Styner | |
| T-5-M-174 | Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification |
| Chris Yoon, Ghassan Hamarneh, Rafeef Abugharbieh | |
| T-5-M-180 | Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Trials |
| Georgios Lazaridis, Marco Lorenzi, Sebastien Ourselin, David Garway-Heath | |
| T-5-M-189 | Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging |
| Evan Hann, Luca Biasiolli, Qiang Zhang, Iulia Popescu, Konrad Werys, Elena Lukaschuk, Valentina Carapella, Jose Paiva, Nay Aung, Jennifer Rayner, Kenneth Fung, Henrike Puchta, Mihir Sanghvi, Niall Moon, Katharine Thomas, Vanessa Ferreira, Steffen Petersen, Stefan Neubauer, Stefan Piechnik | |
| T-5-M-201 | GANReDL: Medical Image enhancement using a generative adversarial network with real-order derivative induced loss functions |
| Pan Liu, Chao Li, Carola-Bibiane Schönlieb | |
| T-5-M-210 | VS-Net: Variable spitting network for accelerated parallel MRI reconstruction |
| Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan O’Regan, Daniel Rueckert | |
| T-5-M-219 | k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations |
| Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph Hajnal, Daniel Rueckert | |
| T-5-M-231 | 3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis |
| Jiong Zhang, Amir Kashani, Yonggang Shi | |
| T-5-M-240 | Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI |
| Gavin Seegoolam, Chen Qin, Jo Schlemper, Anthony Price, Joseph Hajnal, Daniel Rueckert | |
| T-5-M-249 | Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans using Sparse Fidelity Loss and Adversarial Regularization |
| Kai Xuan, Dongming Wei, Yiqiang Zhan, Dijia Wu, Qian Wang | |
| T-5-M-261 | Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images |
| Hristina Uzunova, Jan Ehrhardt, Fabian Jacob, Alex Frydrychowicz, Heinz Handels | |
| T-5-M-270 | DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis |
| Hongwei Li, Johannes Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan Kirschke, Benedict Wiestler, Bjoern Menze | |
| T-5-M-279 | Deep Gated Neural Network for QSM Background Field Removal |
| Juan Liu, Kevin Koch | |
| T-5-M-291 | A Two-Stage Multi-Loss Super-Resolution Network For Arterial Spin Labeling Magnetic Resonance Imaging |
| Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi | |
| T-5-M-300 | Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction |
| Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo | |
| T-5-M-309 | Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction |
| Haofu Liao, Wei-An Lin, Zhimin Huo, William Sehnert, Levon Vogelsang, S. Kevin Zhou, Jiebo Luo | |
| T-5-M-321 | A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation |
| Rongzhao Zhang, Albert Chung | |
| T-5-M-328 | BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization |
| Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey Fessler | |
| T-5-M-333 | Multi-Stage Image Quality Assessment of Diffusion MRI via Semi-Supervised Nonlocal Residual Networks |
| Siyuan Liu, Kim Han Thung, Weili Lin, Pew-Thian Yap, Dinggang Shen | |
| T-5-M-339 | Model Learning: Primal Dual Networks for Fast MR imaging |
| Jing Cheng, Haifeng Wang, Leslie Ying, Dong Liang | |
| T-5-F-346 | A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging |
| Nan Meng, Yan Yang, Zongben Xu, Jian Sun | |
| T-5-F-355 | Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks |
| Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen | |
| T-5-F-366 | Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging |
| Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang | |
| T-5-F-373 | Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation |
| Reuben Dorent, Samuel Joutard, Marc Modat, Sebastien Ourselin, Tom Vercauteren | |
| T-5-F-379 | Isotropic MRI Super-Resolution Reconstruction with Multi-Scale Gradient Field Prior |
| Yao Sui, Onur Afacan, Ali Gholipour, Simon Warfield | |
| T-5-F-393 | Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks |
| Zhibin Liao, Mohammad Jafari, Hany Girgis, Robert Rohling, Ken Gin, Purang Abolmaesumi, Terasa Tsang | |
| T-5-F-402 | Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets |
| Le Zhang, Marco Pereanez, Christopher Bowles, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Alejandro Frangi | |
| T-5-F-407 | SWTV-ACE: Spatially Weighted Regularization based Attenuation Coefficient Estimation Method for Hepatic Steatosis Detection |
| Farah Deeba, Caitlin Schneider, Shahed Mohammed, Mohammad Honarvar, Edward Tam, Septimiu Salcudean, Robert Rohling | |
| T-5-F-416 | Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks |
| Le Zhang, Marco Pereanez, Christopher Bowles, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Alejandro Frangi | |
| T-5-F-421 | Fused Detection of Retinal Biomarkers in OCT Volumes |
| Thomas Kurmann, Pablo Márquez Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman | |
| T-5-F-430 | RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting |
| Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen | |
| T-5-E-440 | Learned Full-sampling Reconstruction |
| Weilin Cheng, Yu Wang, Ying Chi, Xuansong Xie, Yuping Duan | |
| T-5-E-445 | A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning |
| Luyao Shi, John Onofrey, Enette Mae Revilla, Takuya Toyonaga, David Menard, Joseph Ankrah, Richard Carson, Chi Liu, Yihuan Lu | |
| T-5-E-450 | Single Image Based Reconstruction of High Field-like MR Images |
| Prabhjot Kaur, Anil Kumar Sao | |
| T-5-E-455 | Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework |
| Viswanath Ps, Kratika Gupta, Gary Egan, Zhaolin Chen, Suyash Awate | |
| T-5-E-460 | A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement |
| Uddeshya Upadhyay, Suyash Awate | |
| T-5-E-468 | Image data validation for medical systems |
| Pablo Márquez Neila, Raphael Sznitman | |
| T-5-E-477 | Multi-Stage Prediction Networks for Data Harmonization |
| Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal Tax, Ryutaro Tanno, Daniel Alexander | |
| T-5-E-486 | 3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images |
| Guodong Zeng, Guoyan Zheng | |
| T-5-E-495 | Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment |
| Florin Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Guendel, Mannudeep Kalra, Ramandeep Singh, Subba Digumarthy, Sasa Grbic, Dorin Comaniciu | |
| T-5-E-504 | Linear Time Invariant Model based Motion Correction (LiMo-Moco) of Dynamic Radial Contrast Enhanced MRI |
| Jaume Coll-Font, Onur Afacan, Jeanne Chow, Sila Kurugol | |
| T-5-E-513 | Deep Variational Networks with Exponential Weighting for Learning Computed Tomography |
| Valery Vishnevskiy, Richard Rau, Orcun Goksel | |
| T-5-E-517 | Cone-Beam Computed Tomography (CBCT) segmentation by adversarial learning domain adaptation |
| Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Xiaoning Qian, Jim Xiuquan Ji, Steve Jiang | |
| T-5-E-522 | Medical-based Deep Curriculum Learning for Improved Fracture Classification |
| Amelia Jimenez-Sanchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Angel González Ballester, Gemma Piella | |
| T-5-E-527 | Model-based reconstruction for highly accelerated first-pass perfusion cardiac MRI |
| Teresa Correia, Torben Schneider, Amedeo Chiribiri | |
| T-5-E-532 | Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data |
| Guodong Zeng, Guoyan Zheng | |
| T-5-E-537 | Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs |
| Gongfa Jiang, Yao Lu, Jun Wei, Yuesheng Xu |
Session 6: Computer-Aided Diagnosis, Detection, and Classification 1
Tuesday, October 15, 15:30 – 16:30
| T-6-B-006 | Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma |
| Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot Fishman, Alan Yuille | |
| T-6-B-015 | FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images |
| Yunhe Gao, Rui Huang, Hongsheng Li | |
| T-6-B-024 | Multi-Resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation |
| Yunhe Gao, Chang Liu, Liang Zhao | |
| T-6-B-033 | Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation |
| Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li | |
| T-6-B-042 | Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning |
| Mohamed Akrout, Amir-Massoud Farahmand, Tory Jarmain, Latif Abid | |
| T-6-B-049 | Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation |
| Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille, Seyoun Park | |
| T-6-B-058 | Bronchus Segmentation and Classification by Neural Networks and Linear Programming |
| Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, Yunxiang Mao | |
| T-6-B-072 | Multi-label Thoracic Disease Image Classification with Cross-attention Networks |
| Congbo Ma, Hu Wang, Steven Hoi | |
| T-6-B-081 | Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting |
| Runnan Chen, Yuexin Ma, Nenglun Chen, Daniel Lee, Wenping Wang | |
| T-6-B-089 | MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation |
| Ke Yan, Youbao Tang, Yifan Peng, Veit Sanfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald Summers | |
| T-6-B-098 | Intracranial aneurysms detection in 3D cerebrovascular mesh model with ensemble deep learning |
| Mingsong Zhou, Xingce Wang, Zhongke Wu, Jose M. Pozo, Alejandro Frangi | |
| T-6-B-107 | Invertible Network for Classification and Biomarker Selection for ASD |
| Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li, Pamela Ventola, James Duncan | |
| T-6-B-115 | Detecting Cannabis-Associated Cognitive Impairment using Resting-state fNIRS |
| Yingying Zhu, Jodi Gilman, Anne Evins, Mert Sabuncu | |
| T-6-B-124 | Supervised Uncertainty Quantification for Segmentation with Multiple Annotations |
| Shi Hu, Daniel Worrall, Stefan Knegt, Bastiaan Veeling, Henkjan Huisman, Max Welling | |
| T-6-B-134 | An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation |
| Kailai Zhang, Nanfang Xu, Guosheng Yang, Xiangling Fu, Ji Wu | |
| T-6-B-143 | Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion |
| Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng | |
| T-6-B-149 | Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages |
| Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen | |
| T-6-B-157 | Detecting Acute Strokes from Non-Contrast CT Scan Data Using Deep Convolutional Neural Networks |
| Dmitriy Umerenkov, Alexander Tuzhilin, Manvel Avetisian, Vladimir Kokh | |
| T-6-M-178 | GraphXNET Chest X-Ray Classification Under Extreme Minimal Supervision |
| Angelica Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby Tan, Carola Schoenlieb | |
| T-6-M-187 | NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation |
| Hao Tang, Chupeng Zhang, Xiaohui Xie | |
| T-6-M-194 | Semi-supervised Segmentation of Liver using Adversarial Learning with Deep Atlas Prior |
| Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu | |
| T-6-M-203 | Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization |
| Weisen Wang, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Jingyuan Yang, Feng He, Zhikun Yang, Di Chen, Dayong Ding, Youxin Chen, Xirong Li | |
| T-6-M-208 | Multi-Instance Multi-Scale CNN for Medical Image Classification |
| Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Ting, Rick Goh | |
| T-6-M-217 | Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning |
| Hong Shang, Zhongqian Sun, Wei Yang, Xinghui Fu, Han Zheng, Jia Chang, Junzhou Huang | |
| T-6-M-224 | Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map |
| Muhammad Febrian Rachmadi, María Del C. Valdés Hernández, Stephen Makin, Joanna Wardlaw, Taku Komura | |
| T-6-M-233 | Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound |
| Houssam El-Hariri, Kishore Mulpuri, Antony J Hodgson, Rafeef Abugharbieh | |
| T-6-M-238 | Mask Embedding for Realistic High-resolution Medical Image Synthesis |
| Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars Grimm, Maciej Mazurowski, Jeffrey Marks, Joseph Lo | |
| T-6-M-247 | RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation |
| Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert Sabuncu, Yi Wang | |
| T-6-M-254 | InfoMask: Masked Variational Latent Representation to Localize Chest Disease |
| Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh, Yoshua Bengio | |
| T-6-M-263 | Unsupervised Clustering of Quantitative Imaging Subtypes using Autoencoder and Gaussian Mixture Model |
| Jianan Chen, Laurent Milot, Helen Cheung, Anne Martel | |
| T-6-M-268 | End-to-End Dementia Status Prediction from Brain MRI using Multi-Task Weakly-Supervised Attention Network |
| Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen | |
| T-6-M-277 | Robust and Discriminative Brain Genome Association Analysis |
| Xiaofeng Zhu, Dinggang Shen | |
| T-6-M-284 | Graph convolution based attention model for personalized disease prediction |
| Anees Kazi, Shayan Shekarforoush, Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedict Wiestler, Karsten Kortuem, Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab | |
| T-6-M-293 | Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP Ensemble |
| Wei Huang, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding, Dong Ni | |
| T-6-M-298 | Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification |
| Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof | |
| T-6-M-307 | Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube |
| Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng | |
| T-6-M-314 | Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation |
| Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris Metaxas | |
| T-6-M-323 | Feature Transformers: Privacy Preserving Life Learning Framework for Healthcare Applications |
| Hariharan Ravishankar, Pavan Annangi, Rahul Venkataramani, Saihareesh Anamandra, Prasad Sudhakar | |
| T-6-F-348 | Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype |
| Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen | |
| T-6-F-357 | Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster |
| Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng | |
| T-6-F-375 | TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays |
| Yuxing Tang, Youbao Tang, Veit Sanfort, Jing Xiao, Ronald Summers | |
| T-6-F-381 | Diagnosis-guided multi-modal feature selection for prognosis prediction of lung squamous cell carcinoma |
| Wei Shao, Tongxin Wang, Zhi Huang, Jun Cheng, Zhi Han, Daoqiang Zhang, Kun Huang | |
| T-6-F-395 | Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images |
| Lixi Deng, Sheng Tang, Huazhu Fu, Bin Wang, Yongdong Zhang | |
| T-6-F-409 | Longitudinal Change Detection on Chest X-rays using Geometric Correlation Maps |
| Dong Yul Oh, Jihang Kim, Kyong Joon Lee | |
| T-6-F-423 | Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks |
| Fei-Fei Xue, Jin Peng, Ruixuan Wang, Qiong Zhang, Wei-Shi Zheng | |
| T-6-E-466 | Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Diagnosis of MCI Progression |
| Qingfeng Li, Xiaodan Xing, Ying Sun, Bin Xiao, Hao Wei, Quan Huo, Minqing Zhang, Xiang Zhou, Yiqiang Zhan, Zhong Xue, Feng Shi | |
| T-6-E-475 | Improving Uncertainty Estimation in Convolutional Neural Networks Using Inter-rater Agreement |
| Martin Jensen, Dan Jørgensen, Raluca Jalaboi, Mads Hansen, Martin Aastrup Olsen | |
| T-6-E-484 | Global and Local Interpretability for Cardiac MRI Classification |
| James Clough, Ilkay Oksuz, Esther Puyol Anton, Bram Ruijsink, Andrew King, Julia Schnabel | |
| T-6-E-497 | 3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata |
| Rahman Attar, Marco Pereanez, Christopher Bowles, Stefan Piechnik, Stefan Neubauer, Steffen Petersen, Alejandro Frangi | |
| T-6-E-506 | Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography |
| Han Yang, Junxuan Chen, Ying Chi, Xuansong Xie, Xiansheng Hua |
Session 7: Computer-Aided Diagnosis, Detection, and Classification 2
Wednesday, October 16, 11:30 – 12:30
| W-7-B-007 | PRSNet: Part Relation and Selection Network for Bone Age Assessment |
| Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin | |
| W-7-B-016 | Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip |
| Chuanbin Liu, Hongtao Xie, Sicheng Zhang, Jingyuan Xu, Jun Sun, Yongdong Zhang | |
| W-7-B-025 | DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-Supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification |
| Wenkai Yang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Yunyun Dong, Qianqian Du, Guohua Shi, Muhammad Bilal Zia | |
| W-7-B-034 | Regression-based Line Detection Network for Delineation of Largely Deformed Brain Midline |
| Hao Wei, Xiangyu Tang, Minqing Zhang, Qingfeng Li, Xiaodan Xing, Xiang Zhou, Zhong Xue, Wenzhen Zhu, Zailiang Chen, Feng Shi | |
| W-7-B-043 | Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis |
| Heyi Li, Dongdong Chen, Bill Nailon, Mike Davies, David Laurenson | |
| W-7-B-050 | Deep Granular Feature-Label Distribution Learning for Neuroimaging-based Infant Age Prediction |
| Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen | |
| W-7-B-059 | A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations |
| Philipp Ernst, Georg Hille, Christian Hansen, Klaus Toennies, Marko Rak | |
| W-7-B-073 | Automatic paraspinal muscle segmentation in patients with lumbar pathology using deep convolutional neural network |
| Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele Battie, Terence M Peters, Yiming Xiao | |
| W-7-B-082 | Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics |
| Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier | |
| W-7-B-088 | Task Adaptive Metric Space for Medium-Shot Medical Image Classification |
| Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin | |
| W-7-B-097 | DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning |
| Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine Andriole, Brian Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil Tenenholtz | |
| W-7-B-106 | Deep Multi Label Classification in Affine Subspaces |
| Thomas Kurmann, Pablo Márquez Neila, Sebastian Wolf, Raphael Sznitman | |
| W-7-B-116 | Dynamic Spectral Convolution Networks with Assistant Task Training for Early MCI diagnosis |
| Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Zhou, Zhong Xue, Feng Shi | |
| W-7-B-126 | LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke |
| Yannan Yu, Bhargav Parsi, William Speier, Corey Arnold, Min Lou, Fabien Scalzo | |
| W-7-B-133 | Similarity steered generative adversarial network and adaptive transfer learning for malignancy characterization of hepatocellualr carcinoma |
| Hanqiu Ju, Wanwei Jian, Xiaoping Cen, Guangyi Wang, Wu Zhou | |
| W-7-B-142 | INN: Inflated Neural Networks for IPMN Diagnosis |
| Rodney Lalonde, Irene Tanner, Katerina Nikiforaki, Georgios Papadakis, Pujan Kandel, Candice Bolan, Michael Wallace, Ulas Bagci | |
| W-7-B-148 | Contextual Deep Regression Network for Volume Estimation in Orbital CT |
| Shikha Chaganti, Camilo Bermudez, Louise Mawn, Thomas Lasko, Bennett Landman | |
| W-7-B-156 | Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation |
| Utku Ozbulak, Wesley De Neve, Arnout Van Messem | |
| W-7-M-173 | Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images |
| Hejie Cui, Xinglong Liu, Ning Huang | |
| W-7-M-186 | Efficient Soft-Constrained Clustering for Group-Based Labeling |
| Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida | |
| W-7-M-195 | Uncertainty measurements for the reliable classification of mammograms |
| Mickael Tardy, Bruno Scheffer, Diana Mateus | |
| W-7-M-204 | Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation |
| Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond | |
| W-7-M-216 | Adversarial Policy Gradient for Deep Learning Image Augmentation |
| Victor Cheng, Claudia Iriondo, Francesco Caliva, Justin Krogue, Sharmila Majumdar, Valentina Pedoia | |
| W-7-M-225 | Decoding brain functional connectivity implicated in AD and MCI |
| Sukrit Gupta, Yi Hao Chan, Jagath Rajapakse | |
| W-7-M-234 | Robust Cochlear Modiolar Axis Detection in CT |
| Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara, Marco Caversaccio, Herve Delingette | |
| W-7-M-246 | Siamese U-Net with Healthy Template for Accurate Segmentation of Intracranial Hemorrhage |
| Doyoung Kwon, Jaesin Ahn, Jaeil Kim, Inchul Choi, Sungmoon Jeong, Young-Sup Lee, Jaechan Park, Minho Lee | |
| W-7-M-255 | Realistic Breast Mass Generation through BIRADS Category |
| Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro | |
| W-7-M-264 | Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classfication |
| Xiaoqing Guo, Yixuan Yuan | |
| W-7-M-276 | Normal appearance autoencoder for lung cancer detection and segmentation |
| Mehdi Astaraki, Iuliana Toma Dasu, Örjan Smedby, Chunliang Wang | |
| W-7-M-285 | Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss |
| Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami | |
| W-7-M-294 | Learning from Longitudinal Mammography Studies |
| Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit | |
| W-7-M-306 | Weakly Supervised Universal Fracture Detection in Pelvic X-rays |
| Yirui Wang, Le Lu, Chi Tung Cheng, Dakai Jin, Adam Harrison, Jing Xiao, Chienhung Liao, Shun Miao | |
| W-7-M-324 | Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis |
| Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan | |
| W-7-F-349 | Texture-based classification of significant stenosis in CCTA multi-view images of coronary arteries |
| Antonio Tejero-De-Pablos, Kaikai Huang, Hiroaki Yamane, Yusuke Kurose, Yusuke Mukuta, Yasushi Koyama, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Tatsuya Harada | |
| W-7-F-358 | A Surface-theoretic Approach for Statistical Shape Modeling |
| Felix Ambellan, Stefan Zachow, Christoph Von Tycowicz | |
| W-7-F-367 | How to learn from unlabeled volume data: Self-Supervised 3D Context Feature Learning |
| Maximilian Blendowski, Hannes Nickisch, Mattias Heinrich | |
| W-7-F-382 | Retinal Abnormalities Recognition Using Regional Multitask Learning |
| Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge | |
| W-7-F-388 | Refined Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants |
| Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xinb Gao | |
| W-7-F-396 | Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic Latent Space |
| Prashnna Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang | |
| W-7-F-410 | A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation |
| Ricardo Araújo, Jaime Cardoso, Hélder Oliveira | |
| W-7-F-424 | Learning Interpretable Features via Adversarially Robust Optimization |
| Ashkan Khakzar, Shadi Albarqouni, Nassir Navab | |
| W-7-F-431 | Adaptive image-feature learning for disease classification using inductive graph networks |
| Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Ahmad Ahmadi | |
| W-7-E-441 | Spatial-Frequency Non-Local Convolutional LSTM Network for pRCC classification |
| Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern Menze | |
| W-7-E-465 | Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data |
| Maayan Frid-Adar, Rula Amer, Hayit Greenspan | |
| W-7-E-474 | Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation |
| Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao | |
| W-7-E-483 | STructural Rectal Atlas Deformation (StRAD) features for characterizing intra- and peri-wall chemoradiation response on MRI |
| Jacob Antunes, Zhouping Wei, Charlems Alvarez-Jiminez, Marwa Ismail, Dr. Romero, Anant Madabushi, Pallavi Tiwari, Satish Viswanath | |
| W-7-E-489 | Response Estimation through Spatially Oriented Neural Network and Texture Ensemble (RESONATE) |
| Jeffrey Eben, Nathaniel Braman, Anant Madabushi | |
| W-7-E-498 | Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays |
| Ricardo Bigolin Lanfredi, Joyce Schroeder, Clement Vachet, Tolga Tasdizen | |
| W-7-E-507 | Dual-view Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms |
| Delaram Behnami, Zhibin Liao, Hany Girgis, Christina Luong, Ken Gin, Robert Rohling, Terasa Tsang, Purang Abolmaesumi |
Session 8: Computer Assisted Interventions
Wednesday, October 16, 13:00 – 14:00
| W-8-B-009 | Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field |
| Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li | |
| W-8-B-018 | Hard Frame Detection and Online Mapping for Surgical Phase Recognition |
| Fangqiu Yi, Tingting Jiang | |
| W-8-B-027 | Discriminative Correlation Filter Network for Robust Landmark Tracking in Ultrasound Guided Intervention |
| Chunxu Shen, Jishuai He, Yibin Huang, Jian Wu | |
| W-8-B-036 | Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants |
| Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem | |
| W-8-B-052 | Haptic Modes for Multiparameter Control in Robotic Surgery |
| Philipp Schleer, Sergey Drobinsky, Tahany Hmaid, Klaus Radermacher | |
| W-8-B-061 | Real-time Surface Deformation Recovery from Stereo Videos |
| Haoyin Zhou, Jayender Jagadeesan | |
| W-8-B-066 | Learning-based X-ray Image Denoising utilizing Model-based Image Simulations |
| Sai Gokul Hariharan, Norbert Strobel, Christian Kaethner, Markus Kowarschik, Shadi Albarqouni, Rebecca Fahrig, Nassir Navab | |
| W-8-B-075 | Towards fully automatic X-ray to CT registration |
| Javier Esteban, Matthias Grimm, Mathias Unberath, Guillaume Zahnd, Nassir Navab | |
| W-8-B-095 | An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery |
| Han Deng, Peng Yuan, Sonny Wong, Jaime Gateno, Fred Garrett, Randy Ellis, Jeryl English, Helder Jacob, Daeseung Kim, James Xia | |
| W-8-B-104 | Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery |
| Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas Maier, Holger Kunze | |
| W-8-B-118 | A New Approach of Predicting Facial Changes following Orthognathic Surgery using Realistic Lip Sliding Effect |
| Daeseung Kim, Tianshu Kuang, Yriu Rodrigues, Jaime Gateno, Steve G.F. Shen, Xudong Wang, Han Deng, Peng Yuan, David M. Alfi, Michael A.K. Liebschner, James Xia | |
| W-8-B-140 | Interactive Endoscopy: A Next-Generation, Streamlined User Interface for Lung Surgery Navigation |
| Paul Thienphrapa, Torre Bydlon, Alvin Chen, Prasad Vagdargi, Nicole Varble, Douglas Stanton, Aleksandra Popovic | |
| W-8-B-154 | User guidance for point-of-care echocardiography using a multi-task deep neural network |
| Grzegorz Toporek, Raghavendra Srinivasa Naidu, Adriana Simicich, Tony Gades, Hua Xie, Balasundar Raju | |
| W-8-M-168 | Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery |
| Amir Abdi, Mehran Pesteie, Eitan Prisman, Purang Abolmaesumi, Sidney Fels | |
| W-8-M-184 | Single Shot Needle Tip Localization in 2D Ultrasound |
| Cosmas Mwikirize, John L Nosher, Ilker Hacihaliloglu | |
| W-8-M-197 | Free-view, 3D Gaze-Guided Robotic Scrub Nurse |
| Alexandros Kogkas, Ahmed Ezzat, Rudrik Thakkar, Ara Darzi, George Mylonas | |
| W-8-M-206 | A Mesh-Aware Ball-Pivoting Algorithm for Generating the Virtual Arachnoid Mater |
| Hirofumi Seo, Taichi Kin, Takeo Igarashi | |
| W-8-M-214 | Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss |
| Hongxu Yang, Caifeng Shan, Tao Tan, Alexander F. Kolen, P. H. N. De With | |
| W-8-M-227 | Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation |
| Shuangjun Liu, Sarah Ostadabbas | |
| W-8-M-236 | Triplet Feature Learning on Endoscopic Video Manifold for Real-time Gastrointestinal Image Retargeting |
| Yun Gu, Benjamin Walter, Jie Yang, Alexander Meining, Guang-Zhong Yang | |
| W-8-M-244 | Pathology-aware deep network visualization and its application in glaucoma image synthesis |
| Xiaofei Wang, Mai Xu, Liu Li, Zulin Wang, Zhenyu Guan | |
| W-8-M-257 | Direct Visual and Haptic Volume Rendering of Medical Data Sets for an Immersive Exploration in Virtual Reality |
| Balázs Faludi, Esther Zoller, Nicolas Gerig, Azhar Zam, Georg Rauter, Philippe C. Cattin | |
| W-8-M-266 | Towards a first mixed-reality first person point of view needle navigation system |
| Leah Groves, Natalie Li, Terence M Peters, Elvis Chen | |
| W-8-M-274 | Automated Surgical Activity Recognition with One Labeled Sequence |
| Robert Dipietro, Gregory D. Hager | |
| W-8-M-287 | ARAMIS: Augmented Reality Assistance for Minimally Invasive Surgery using a Head-Mounted Display |
| Long Qian, Xiran Zhang, Anton Deguet, Peter Kazanzides | |
| Development of an Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation | |
| Libin Liang, Derek Cool, Nirmal Kakani, Guangzhi Wang, Hui Ding, Aaron Fenster | |
| W-8-M-304 | One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud |
| Xiao-Yun Zhou, Zhao-Yang Wang, Pei-Chao Li, Jian-Qing Zheng, Guang-Zhong Yang | |
| W-8-M-317 | Towards Multiple Instance Learning and Hermann Weyl’s Discrepancy for Robust Image-Guided Bronchoscopic Intervention |
| Xiongbiao Luo | |
| W-8-M-326 | A Novel Endoscopic Navigation System: Simultaneous Endoscope and Radial Ultrasound Probe Tracking Without External Trackers |
| Xiongbiao Luo | |
| W-8-M-337 | Learning to Detect Collisions for Continuum Manipulators without a Prior Model |
| Shahriar Sefati, Shahin Sefati, Iulian Iordachita, Russ Taylor, Mehran Armand | |
| W-8-F-351 | Continually Modeling Alzheimer’s Disease Progression via Deep Multi-Order Preserving Weight Consolidation |
| Jie Zhang, Yalin Wang | |
| W-8-F-360 | Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery |
| Johannes Fauser, Igor Stenin, Julia Kristin, Thomas Klenzner, Jörg Schipper, Anirban Mukhopadhyay | |
| W-8-F-369 | Deep Sequential Mosaicking of Fetoscopic Videos |
| Sophia Bano, Francisco Vasconcelos, Marcel Tella Amo, George Dwyer, Caspar Gruijthuijsen, Tom Vercauteren, Sebastien Ourselin, Emmanuel Vanderpoorten, Jan Deprest, Danail Stoyanov | |
| W-8-F-384 | A generative model of hyperelastic strain energy density functions for real-time simulation of brain tissue deformation |
| Alejandro Granados, Martin Schweiger, Vejay Vakharia, Andrew W. Mcevoy, Anna Miserocchi, John Duncan, Rachel Sparks, Sebastien Ourselin | |
| W-8-F-398 | Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images |
| Vinkle Srivastav, Afshin Gangi, Nicolas Padoy | |
| W-8-F-412 | An Integrated Multi-Physics Finite Element Modeling Framework for Deep Brain Stimulation: Preliminary Study on Impact of Brain Shift on Neuronal Pathways |
| Ma Luo, Paul Larson, Alastair Martin, Peter Konrad, Michael Miga | |
| W-8-F-417 | Simulation of Balloon-Expandable Coronary Stent Apposition with Plastic Beam Elements |
| Camille Krewcun, Laurent Sarry, Nicolas Combaret, Pascal Motreff, Émilie Péry | |
| W-8-F-426 | Using 3D Convolutional Neural Networks to learn spatiotemporal features for automatic surgical gesture recognition in video |
| Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix Von Bechtolsheim, Jürgen Weitz, Stefanie Speidel | |
| W-8-F-433 | Landmark-guided Deformable Image Registration for Supervised Autonomous Robotic Tumor Resection |
| Jiawei Ge, Hamed Saeidi, Justin Opfermann, Arjun Joshi, Axel Krieger | |
| W-8-E-463 | 3D Modelling of the residual freezing for renal cryoablation simulation and prediction |
| Caroline Essert, Pramod P. Rao, Afshin Gangi, Leo Joskowicz | |
| W-8-E-472 | Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation |
| Micha Pfeiffer, Isabel Funke, Maria Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Ross, Matthew Clarkson, Kurinchi Gurusamy, Brian Davidson, Lena Mair-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel | |
| W-8-E-481 | Physics-based Deep Neural Network for Augmented Reality during Liver Surgery |
| Jean-Nicolas Brunet, Andrea Mendizabal, Antoine Petit, Nicolas Golse, Eric Vibert, Stephane Cotin | |
| W-8-E-491 | Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training |
| Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffale De Simone, Ivo Wolf | |
| W-8-E-500 | Conditional Segmentation in Lieu of Image Registration |
| Yipeng Hu, Eli Gibson, Dean Barratt, Mark Emberton, Alison Noble, Tom Vercauteren | |
| W-8-E-509 | Investigating the role of VR in a simulation-based medical planning system for coronary interventions |
| Madhurima Vardhan, Harvey Shi, John Gounley, S. James Chen, Andrew Kahn, Jane Leopold, Amanda Randles |
Session 9: MIC meets CAI
Wednesday, October 16, 15:30 – 16:30
| W-9-B-008 | ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation |
| Chaoyue Liu, Guohao Dong, Muqing Lin, Yaoxian Zou, Tianzhu Liang, Xujin He, Zhijie Chen, Dong Ni, Yi Xiong, Lei Zhu | |
| W-9-B-017 | Overcoming Data Limitation in Medical Visual Question Answering |
| Binh Nguyen, Binh Nguyen, Tuong Do, Erman Tjiputra, Quang Tran, Thanh-Toan Do | |
| W-9-B-026 | Hand Pose Estimation for Pediatric Bone Age Assessment |
| Maria Escobar, Cristina González, Felipe Torres Figueroa, Laura Daza, Gustavo Triana, Pablo Arbelaez | |
| W-9-B-035 | Generalized Non-Rigid Point Set Registration with Hybrid Mixture Models Considering Anisotropic Positional Uncertainties |
| Zhe Min, Li Liu, Max Q.-H. Meng | |
| W-9-B-051 | Synthesis and Inpainting-based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors |
| Dongming Wei, Sahar Ahmad, Jiayu Huo, Yunhao Ge, Wen Peng, Pew-Thian Yap, Zhong Xue, Dinggang Shen, Qian Wang | |
| W-9-B-060 | Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis |
| Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li | |
| W-9-B-074 | Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network |
| Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan, Jingjing Chen, Haotian Lin, Wei-Shi Zheng | |
| W-9-B-083 | Learning Where to Look While Tracking Instruments in Robot-assisted Surgery |
| Mobarakol Islam, Yueyuan Li, Hongliang Ren | |
| W-9-B-087 | LumiPath – Towards Real-time Physically-based Rendering on Embedded Devices |
| Laura Fink, Sing Chun Lee, Jie Ying Wu, Xingtong Liu, Tianyu Song, Yordanka Velikova, Marc Stamminger, Nassir Navab, Mathias Unberath | |
| W-9-B-096 | Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories |
| Jan-Nico Zaech, Cong Gao, Bastian Bier, Russ Taylor, Andreas Maier, Nassir Navab, Mathias Unberath | |
| W-9-B-105 | MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation |
| Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi | |
| W-9-B-117 | An Extremely Fast and Precise Convolutional Neural Network for Recognition and Localization of Cataract Surgical Tools |
| Dongqing Zang, Gui-bin Bian, Yunlai Wang, Zhen Li | |
| W-9-B-127 | FetusMap: Fetal Pose Estimation in 3D Ultrasound |
| Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng | |
| W-9-B-141 | Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound |
| Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni | |
| W-9-B-155 | Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video |
| Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng | |
| W-9-M-185 | Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks |
| Jeffrey Craley, Christophe Jouny, Emily Johnson, Archana Venkataraman | |
| W-9-M-196 | Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects |
| Deqiang Xiao, Li Wang, Han Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu L. Rodrigues, Leonel Perez, Christopher E. Crecelius, Jaime Gateno, Tianshu Kuang, Steve G.F. Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James Xia, Dinggang Shen | |
| W-9-M-205 | Non-invasive Assessment of In Vivo Auricular Cartilage by Ultrashort Echo Time (UTE) T2* Mapping |
| Xue Li, Cheng Zhao, Weiwei Zhang | |
| W-9-M-215 | A Two-stage Framework for Real-time Guidewire Endpoint Localization |
| Rui-Qi Li, Guibin Bian, Xiaohu Zhou, Xiaoliang Xie, Zhenliang Ni, Zengguang Hou | |
| W-9-M-226 | A Multi-modal Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information |
| Chaoyang Xia, Xiaojie Li, Xin Wang, Bin Kong, Yucheng Chen, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, Xi Wu | |
| W-9-M-235 | DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning |
| Xiaodong He, Yi Zhou, Boyang Wang, Shanshan Cui, Ling Shao | |
| W-9-M-245 | Multiple Landmarks Detection using Multi-Agent Reinforcement Learning |
| Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz | |
| W-9-M-256 | Learning and Understanding Deep Spatio-Temporal Representations from Free-Hand Fetal Ultrasound Sweeps |
| Yuan Gao, Alison Noble | |
| W-9-M-265 | Captioning Ultrasound Images Automatically |
| Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris Papageorghiou, Alison Noble | |
| W-9-M-275 | Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation |
| Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris Papageorghiou, Alison Noble | |
| W-9-M-286 | Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers |
| Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz | |
| W-9-M-295 | Virtual Cardiac Surgical Planning through Hemodynamics Simulation and Design Optimization of Fontan Grafts |
| Byeol Kim, Yue-Hin Loke, Florence Stevenson, Dominik Siallagan, Paige Mass, Justin Opfermann, Narutoshi Hibino, Laura Olivieri, Axel Krieger | |
| W-9-M-305 | Real-time 3D reconstruction of colonoscopic surfaces for determining missing regions |
| Ruibin Ma, Rui Wang, Sarah Mcgill, Julian Rosenman, Stephen Pizer, Jan-Michael Frahm | |
| W-9-M-316 | MeshSNet: Deep Multi-Scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces |
| Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen | |
| W-9-M-325 | A deep regression model for seed localization in prostate brachytherapy |
| Yading Yuan, Ren-Dih Sheu, Luke Fu, Yeh-Chi Lo | |
| W-9-M-338 | Harmonic Balance Techniques in Cardiovascular Fluid Mechanics |
| Taha Sabri Koltukluoğlu, Gregor Cvijetic, Ralf Hiptmair | |
| W-9-F-350 | Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D flow MRI |
| Taha Sabri Koltukluoğlu | |
| W-9-F-359 | Generating Pareto optimal dose distributions for radiation therapy treatment planning |
| Dan Nguyen, Azar Sadeghnejad Barkousaraie, Chenyang Shen, Xun Jia, Steve Jiang | |
| W-9-F-368 | Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function |
| Igor Fortel, Mitchell Butler, Laura Korthauer, Liang Zhan, Yanfu Zhang, Lei Guo, Heng Huang, Ira Driscoll, Olusola Ajilore, Anastasios Sidiropoulos, Dan Schonfeld, Alex Leow | |
| W-9-F-383 | Fetal Pose Estimation in Volumetric MRI using 3D Convolution Neural Network |
| Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson | |
| W-9-F-389 | Towards whole placenta segmentation at late gestation using multi-view ultrasound images |
| Veronika Zimmer, Alberto Gomez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph Hajnal, Julia Schnabel | |
| W-9-F-397 | Gastric cancer detection from endoscopic images using synthesis by GAN |
| Teppei Kanayama, Yusuke Kurose, Kiyohito Tanaka, Kento Aida, Shin’Ichi Satoh, Masaru Kitsuregawa, Tatsuya Harada | |
| W-9-F-411 | Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery |
| Christina Gsaxner, Antonio Pepe, Jürgen Wallner, Dieter Schmalstieg, Jan Egger | |
| W-9-F-425 | Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization |
| Jwala Dhamala, Sandesh Ghimire, John L. Sapp, Bohumil Milan Horacek, Linwei Wang | |
| W-9-F-432 | Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic Reflector |
| Richard Rau, Ozan Unal, Dieter Schweizer, Valery Vishnevskiy, Orcun Goksel | |
| W-9-E-446 | A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-time Endocardial Mapping |
| Alon Baram, Hayit Greenspan, Zvi Friedman | |
| W-9-E-464 | An unsupervised domain adaptation approach to classification of stem cell-derived cardiomyocytes |
| Carolina Pacheco, Rene Vidal | |
| W-9-E-473 | Deep Learning based Metal Artifacts Reduction in post-operative Cochlear Implant CT Imaging |
| Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Raffaelli Charles, Nicolas Guevara, Herve Delingette | |
| W-9-E-482 | Semi-autonomous Robotic Anastomoses of Vaginal Cuffs using Marker Enhanced 3D Imaging and Path Planning |
| Michael Kam, Hamed Saeidi, Shuwen Wei, Justin Opfermann, Simon Leonard, Michael Hsieh, Jin Kang, Axel Krieger | |
| W-9-E-490 | Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model |
| Fatemeh Taheri Dezaki, Hany Girgis, Robert Rohling, Ken Gin, Purang Abolmaesumi, Terasa Tsang | |
| W-9-E-499 | Deep Learning-based Universal Beamformer for Ultrasound Imaging |
| Shujaat Khan, Jaeyoung Huh, Jong Chul Ye | |
| W-9-E-508 | Doubly Weak Supervision of Deep Learning Models for Head CT |
| Khaled Saab, Jared Dunnmon, Roger Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Re, Daniel Rubin |