Format: D-S-R-NUM

D: Presentation Date (M for Monday, T for Tuesday, W for Wednesday)

S: Session Number

R: Room

NUM: board number

Paper ID | Poster ID | Title |

14 | M-3-B-002 | 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI |

23 | M-1-B-005 | Synapse-Aware Skeleton Generation for Neural Circuits |

30 | T-6-B-006 | Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma |

37 | W-8-B-009 | Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field |

38 | T-5-B-004 | ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans |

40 | T-5-B-013 | Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis |

47 | 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 |

48 | T-6-B-024 | Multi-Resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation |

59 | 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 |

74 | M-2-B-001 | Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE |

77 | T-6-B-033 | Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation |

79 | M-3-B-020 | Discriminative Consistent Domain Generation for Semi-supervised Learning |

80 | T-5-B-022 | Direct Quantification for Coronary Artery Stenosis Using Multiview Learning |

86 | T-6-B-042 | Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning |

88 | M-3-B-029 | Automatic Vertebrae Recognition from Arbitrary Spine MRI images by a Hierarchical Self-calibration Detection Framework |

96 | W-8-B-018 | Hard Frame Detection and Online Mapping for Surgical Phase Recognition |

97 | M-3-B-038 | ET-Net: A Generic Edge-Attention Guidance Network for Medical Image Segmentation |

106 | T-6-B-049 | Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation |

108 | M-3-B-045 | Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation |

109 | M-3-B-054 | Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention |

110 | W-8-B-027 | Discriminative Correlation Filter Network for Robust Landmark Tracking in Ultrasound Guided Intervention |

115 | W-8-B-036 | Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants |

124 | M-2-B-010 | Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale |

131 | M-3-B-063 | Multi-View Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis |

132 | M-3-B-068 | 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation |

139 | T-6-B-058 | Bronchus Segmentation and Classication by Neural Networks and Linear Programming |

142 | M-2-B-019 | Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-rank Feature Learning |

147 | W-9-B-008 | ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation |

149 | M-1-B-014 | High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions |

150 | M-2-B-028 | A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics |

155 | T-5-B-031 | R^2-Net: Recurrent and Recursive Network for Sparse-view CT Artifacts Removal |

158 | M-2-B-037 | Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation |

176 | M-1-B-023 | CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation |

178 | T-5-B-040 | Exploiting Reliability-guided Aggregation for the Assessment of Curvilinear Structure Tortuosity |

179 | M-2-B-044 | Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction |

182 | M-3-B-077 | Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation |

183 | T-5-B-047 | SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis |

195 | T-5-B-056 | Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition |

196 | T-5-B-065 | Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment |

198 | W-9-B-017 | Overcoming Data Limitation in Medical Visual Question Answering |

202 | M-3-B-085 | Radiomics-guided GAN for Segmentation of Liver Tumor without Contrast Agents |

203 | M-2-B-053 | Combining Multiple Behavioral Measures and Multiple Connectomes via Multiway Canonical Correlation Analysis |

207 | M-3-B-093 | VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation |

211 | W-8-B-052 | Haptic Modes for Multiparameter Control in Robotic Surgery |

214 | M-2-B-062 | Revealing Functional Connectivity by Learning Graph Laplacian |

215 | M-2-B-067 | Constructing Multi-Scale Connectome Atlas by Learning Common Topology of Brain Networks |

224 | T-6-B-072 | Multi-label Thoracic Disease Image Classification with Cross-attention Networks |

225 | T-5-B-070 | Data-driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks |

227 | M-2-B-076 | Super-Resolved q-Space Deep Learning |

228 | W-9-B-026 | Hand Pose Estimation for Pediatric Bone Age Assessment |

230 | M-1-B-032 | DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks |

235 | M-3-B-102 | Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss |

239 | W-8-B-061 | Real-time Surface Deformation Recovery from Stereo Videos |

251 | W-9-B-035 | Generalized Non-Rigid Point Set Registration with Hybrid Mixture Models Considering Anisotropic Positional Uncertainties |

258 | T-5-B-079 | Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces |

260 | M-1-B-041 | From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification |

261 | M-1-B-048 | Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction in vivo |

262 | M-3-B-111 | Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography |

266 | M-3-B-120 | A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes |

268 | W-8-B-066 | Learning-based X-ray Image Denoising Utilizing Model-based Image Simulations |

271 | T-5-B-091 | Deep Learning Based Framework for Direct Reconstruction of PET Images |

282 | M-3-B-129 | Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation |

285 | M-3-B-138 | Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation |

286 | M-3-B-146 | Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning |

289 | M-2-B-084 | Unsupervised Deep Learning for Bayesian Brain MRI Segmentation |

293 | M-2-B-094 | Hydranet: Data Augmentation for Regression Neural Networks |

298 | W-9-B-051 | Synthesis and Inpainting-based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors |

304 | M-3-B-152 | Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation |

315 | M-3-B-161 | Integrating 3D Geometry of Organ for Improving Medical Imaging Segmentation |

316 | M-3-M-166 | LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization |

317 | M-3-M-171 | Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation |

318 | M-3-M-176 | Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation |

322 | M-2-B-103 | Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph From a Baseline Graph |

326 | M-1-B-057 | A Deep Reinforcement Learning Framework for Frame-by-frame Plaque Tracking on Intravascular Optical Coherence Tomography Image |

331 | M-3-M-182 | Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors |

333 | M-3-M-191 | From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network |

338 | M-3-M-199 | Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels |

346 | T-6-B-081 | Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting |

347 | W-8-B-075 | Towards fully automatic X-ray to CT registration |

348 | T-5-B-100 | Unsupervised Anomaly Localization using Variational Auto-Encoders |

354 | T-6-B-089 | MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation |

355 | M-2-B-110 | Surface-based Tracking of U-fibers in the Superficial White Matter |

357 | W-8-B-095 | An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery |

359 | T-5-B-108 | Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples |

362 | M-3-M-212 | A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration |

374 | T-5-B-113 | Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT |

380 | M-3-M-221 | Automated Pulmonary Embolism Detection from CTPA Images using an End-to-End Convolutional Neural Network |

383 | W-8-B-104 | Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery |

385 | T-6-B-098 | Intracranial aneurysms detection in 3D cerebrovascular mesh model with ensemble deep learning |

386 | M-3-M-229 | Incompressible image registration using divergence-conforming B-splines |

389 | M-3-M-242 | Instance Segmentation from Volumetric Biomedical Images without Voxel-Wise Labeling |

391 | T-6-B-107 | Invertible Network for Classification and Biomarker Selection for ASD |

394 | M-1-B-071 | Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning |

396 | T-6-B-115 | Detecting Cannabis-Associated Cognitive Impairment using Resting-state fNIRS |

402 | W-8-B-118 | A New Approach of Predicting Facial Changes following Orthognathic Surgery using Realistic Lip Sliding Effect |

404 | T-5-B-122 | Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space |

408 | T-5-B-131 | Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction |

410 | T-5-B-136 | Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis |

413 | T-5-B-144 | Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI |

414 | M-3-M-251 | Placental Flattening via Volumetric Parameterization |

416 | T-6-B-124 | Supervised Uncertainty Quantification for Segmentation with Multiple Annotations |

419 | M-2-B-119 | Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference |

421 | W-8-B-140 | Interactive Endoscopy: A Next-Generation, Streamlined User Interface for Lung Surgery Navigation |

422 | M-1-B-080 | PM-NET: Pyramid Multi-Label Network for Optic Disc and Cup Segmentation |

425 | M-1-B-090 | IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation |

427 | M-1-B-099 | Patch Transformer for Multi-tagging Whole Slide Histopathology Images |

431 | M-3-M-259 | Simultaneous Lung Field Detection and Segmentation for Pediatric ChestRadiographs |

434 | M-3-M-272 | Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network |

437 | T-6-B-134 | An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation |

440 | M-1-B-109 | Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images |

441 | M-3-M-281 | Dual Encoding U-Net for Retinal Vessel Segmentation |

447 | T-6-B-143 | Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion |

452 | M-3-M-289 | A deep learning approach to MR-less spatial normalization for tau PET images |

453 | M-3-M-302 | Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration |

467 | M-2-B-128 | Clustering of longitudinal shape data sets using mixture of separate or branching trajectories |

468 | M-2-B-139 | Neural parameters estimation for brain tumor growth modeling |

471 | M-3-M-311 | Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images |

472 | M-1-B-114 | Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer |

474 | T-5-B-150 | Concept-Centric Visual Turing Tests for Method Validation |

475 | M-3-M-319 | A Divide-and-Conquer Approach Towards Understanding Deep Networks |

479 | T-5-B-159 | Bayesian Volumetric Autoregressive generative models for better semisupervised learning |

482 | M-2-B-147 | Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging |

487 | M-1-B-123 | Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography |

490 | T-6-B-149 | Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages |

494 | T-6-B-157 | Detecting Acute Strokes from Non-Contrast CT Scan Data Using Deep Convolutional Neural Networks |

495 | T-6-M-178 | GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision |

497 | W-8-B-154 | User guidance for point-of-care echocardiography using a multi-task deep neural network |

500 | 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 |

503 | M-2-B-153 | Let’s agree to disagree: learning highly debatable multirater labelling. |

506 | M-2-B-162 | Early Prediction of Alzheimer’s Disease progression using Variational Autoencoder |

507 | T-6-M-187 | NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation |

509 | T-5-M-169 | Semi-Supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control |

511 | M-1-B-132 | Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier |

513 | W-8-M-168 | Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery |

516 | T-5-M-174 | Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification |

518 | W-8-M-184 | Single Shot Needle Tip Localization in 2D Ultrasound |

523 | W-8-M-197 | Free-view, 3D Gaze-Guided Robotic Scrub Nurse |

526 | M-3-M-330 | Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation |

535 | M-2-M-167 | Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis |

542 | M-3-M-335 | Unsupervised Ensemble Strategy for Retinal Vessel Segmentation |

549 | W-8-M-206 | A Mesh-Aware Ball-Pivoting Algorithm for Generating the Virtual Arachnoid Mater |

552 | T-6-M-194 | Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior |

554 | M-3-M-341 | Scalable Neural Architecture Search for 3D Medical Image Segmentation |

565 | M-3-F-344 | Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification |

568 | T-6-M-203 | Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization |

573 | M-3-F-353 | DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy |

578 | M-2-M-172 | Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network |

579 | M-3-F-362 | Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction |

580 | T-5-M-180 | Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Trials |

581 | W-9-B-060 | Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis |

583 | T-5-M-189 | Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging |

586 | M-3-F-364 | Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images |

589 | M-3-F-371 | Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation |

595 | M-3-F-377 | Right Ventricle Segmentation in Short-Axis MRI Using A Shape Constrained Dense Connected U-net |

596 | T-6-M-208 | Multi-Instance Multi-Scale CNN for Medical Image Classification |

607 | T-6-M-217 | Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning |

623 | M-3-F-386 | Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations |

624 | T-6-M-224 | Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map |

628 | T-6-M-233 | Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound |

632 | M-2-M-177 | Multimodal Data Registration for Brain Structural Association Networks |

635 | M-1-B-135 | Nuclei Segmentation in Histopathological Images using Two-Stage Learning |

637 | M-3-F-391 | SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation |

643 | M-3-F-400 | Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images |

653 | T-6-M-238 | Mask Embedding for Realistic High-resolution Medical Image Synthesis |

657 | W-9-B-074 | Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network |

661 | T-6-M-247 | RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation |

674 | W-9-B-083 | Learning Where to Look While Tracking Instruments in Robot-assisted Surgery |

681 | T-5-M-201 | GANReDL: Medical Image enhancement using a generative adversarial network with real-order derivative induced loss functions |

689 | M-2-M-183 | Consistent Brain Ageing Synthesis |

693 | T-5-M-210 | VS-Net: Variable spitting network for accelerated parallel MRI reconstruction |

694 | T-6-M-254 | InfoMask: Masked Variational Latent Representation to Localize Chest Disease |

696 | T-6-M-263 | Unsupervised Clustering of Quantitative Imaging Subtypes using Autoencoder and Gaussian Mixture Model |

697 | M-3-F-405 | Improved Inference via Deep Input Transfer |

698 | W-9-B-087 | LumiPath – Towards Real-time Physically-based Rendering on Embedded Devices |

705 | M-3-F-414 | Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion |

706 | W-8-M-214 | Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss |

707 | M-3-F-419 | Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk |

710 | M-3-F-428 | Mixed-Supervised Dual-Network for Medical Image Segmentation |

711 | W-9-B-096 | Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories |

714 | T-6-M-268 | End-to-End Dementia Status Prediction from Brain MRI using Multi-Task Weakly-Supervised Attention Network |

716 | M-2-M-192 | Hierarchical Multi-Geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates |

718 | T-6-M-277 | Robust and Discriminative Brain Genome Association Analysis |

719 | T-5-M-219 | k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations |

725 | T-5-M-231 | 3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis |

726 | M-3-F-435 | Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging |

727 | M-3-E-438 | Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints |

728 | M-3-E-443 | HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion |

730 | M-3-E-448 | Fast and Accurate Electron Microscopy Image Registration with 3D Convolution |

731 | T-6-M-284 | Graph convolution based attention model for personalized disease prediction |

732 | T-5-M-240 | Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI |

739 | M-3-E-453 | On the applicability of registration uncertainty |

747 | W-9-B-105 | MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation |

748 | M-1-B-158 | Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening |

756 | M-1-M-163 | CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation |

763 | T-6-M-293 | Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP Ensemble |

764 | W-9-B-117 | An Extremely Fast and Precise Convolutional Neural Network for Recognition and Localization of Cataract Surgical Tools |

765 | T-5-M-249 | Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans using Sparse Fidelity Loss and Adversarial Regularization |

777 | T-5-M-261 | Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images |

778 | T-5-M-270 | DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis |

780 | T-6-M-298 | Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification |

783 | T-6-M-307 | Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube |

785 | M-2-M-198 | A Novel Graph Wavelet Model for Brain Multi-Scale Activational-connectional Feature Fusion |

792 | M-3-E-458 | Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network |

794 | W-9-B-127 | FetusMap: Fetal Pose Estimation in 3D Ultrasound |

795 | T-5-M-279 | Deep Gated Neural Network for QSM Background Field Removal |

798 | T-5-M-291 | A Two-Stage Multi-Loss Super-Resolution Network For Arterial Spin Labeling Magnetic Resonance Imaging |

803 | W-9-B-141 | Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound |

804 | W-9-B-155 | Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video |

806 | M-1-M-179 | Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations |

807 | T-6-M-314 | Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation |

808 | W-8-M-227 | Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation |

830 | M-2-M-207 | Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data |

831 | W-9-M-185 | Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks |

833 | T-6-M-323 | Feature Transformers: Privacy Preserving Life Learning Framework for Healthcare Applications |

839 | M-3-E-470 | 3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection |

846 | M-3-E-479 | DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation |

854 | W-8-M-236 | Triplet Feature Learning on Endoscopic Video Manifold for Real-time Gastrointestinal Image Retargeting |

855 | T-5-M-300 | Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction |

857 | M-3-E-488 | One Network To Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation |

858 | M-2-M-213 | Constructing Consistent Longitudinal Brain Networks by Group-wise Graph Learning |

859 | M-2-M-222 | DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography |

872 | T-5-M-309 | Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction |

874 | M-1-M-188 | Uncertainty guided semisupervised segmentation of retinal layers in OCT images |

881 | M-3-E-493 | Echocardiography Segmentation by Quality Translation using Anatomically Constrained CycleGAN |

892 | W-9-M-196 | Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects |

897 | M-1-M-193 | Fully Deep Learning for Slit-lamp Photo based Nuclear Cataract Grading |

899 | T-6-F-348 | Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype |

900 | M-1-M-202 | PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis |

913 | M-3-E-502 | PseudoEdgeNet: Nuclei Segmentation only with Point Annotations |

916 | M-3-E-511 | High Resolution Medical Image Segmentation using Data-swapping Method |

927 | T-6-F-357 | Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster |

934 | T-6-F-375 | TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays |

936 | W-8-M-244 | Pathology-aware deep network visualization and its application in glaucoma image synthesis |

937 | M-3-E-519 | Statistical intensity- and shape-modeling to automate cerebrovascular segmentation from TOF-MRA data |

939 | T-6-F-381 | Diagnosis-guided multi-modal feature selection for prognosis prediction of lung squamous cell carcinoma |

962 | M-1-M-209 | Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification |

963 | M-3-E-524 | MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection |

973 | T-6-F-395 | Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images |

978 | M-2-M-228 | Variational Autoencoder for Regression: Application to Brain Aging Analysis |

983 | T-6-F-409 | Longitudinal Change Detection on Chest X-rays using Geometric Correlation Maps |

986 | M-1-M-218 | Deep Segmentation-Emendation Model for Gland Instance Segmentation |

987 | M-3-E-529 | X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies |

992 | M-1-M-223 | Attention Guided Network for Retinal Image Segmentation |

996 | T-6-F-423 | Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks |

1000 | T-6-E-466 | Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Diagnosis of MCI Progression |

1005 | M-3-E-534 | 3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation |

1008 | M-3-E-539 | AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks |

1010 | T-4-B-003 | Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation |

1031 | T-4-B-012 | Multi-View Semi-supervised 3D Whole Brain Segmentation with a Self-Ensemble Network |

1032 | M-1-M-232 | Deep Instance-Level Hard Negative Mining Model for Histopathology Images |

1034 | M-1-M-239 | EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast |

1048 | T-6-E-475 | Improving Uncertainty Estimation in Convolutional Neural Networks Using Inter-rater Agreement |

1052 | T-5-M-321 | A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation |

1055 | M-1-M-248 | As easy as 1, 2… 4? Uncertainty in counting tasks for medical imaging |

1059 | M-1-M-253 | Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis |

1060 | M-2-M-237 | Interpretable Feature Learning Using Multi-Output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis |

1071 | M-1-M-262 | Progressive Learning for Neuronal Population Reconstruction from Optical Microscopy Images |

1074 | M-1-M-269 | Encoding histopathological WSIs using GNN for scalable diagnostically relevant regions retrieval |

1076 | T-4-B-021 | Learning task-specific and shared representations in medical imaging |

1078 | T-4-B-030 | The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN |

1080 | T-4-B-039 | LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Cues |

1086 | M-2-M-243 | AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation |

1090 | W-9-M-205 | Non-invasive Assessment of In Vivo Auricular Cartilage by Ultrashort Echo Time (UTE) T2* Mapping |

1095 | T-4-B-046 | Selective Feature Aggregation Network with Area-boundary Constraints for Polyp Segmentation |

1105 | T-4-B-055 | Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning |

1109 | W-9-M-215 | A Two-stage Framework for Real-time Guidewire Endpoint Localization |

1110 | M-2-M-252 | TopAwaRe: Topology-Aware Registration |

1115 | W-9-M-226 | A Multi-modal Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information |

1119 | M-1-M-278 | Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response |

1121 | W-9-M-235 | DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning |

1122 | M-1-M-283 | Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells |

1123 | T-4-B-064 | ‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans |

1128 | M-2-M-258 | RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting |

1129 | T-6-E-484 | Global and Local Interpretability for Cardiac MRI Classification |

1134 | T-6-E-497 | 3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata |

1139 | T-6-E-506 | Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography |

1144 | W-9-M-245 | Multiple Landmarks Detection using Multi-Agent Reinforcement Learning |

1151 | W-9-M-256 | Learning and Understanding Deep Spatio-Temporal Representations from Free-Hand Fetal Ultrasound Sweeps |

1159 | T-5-M-328 | BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization |

1165 | T-4-B-069 | Multi-Class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation |

1167 | T-4-B-078 | Extract Bone Parts without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment |

1168 | W-7-B-007 | PRSNet: Part Relation and Selection Network for Bone Age Assessment |

1170 | W-7-B-016 | Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip |

1192 | T-4-B-086 | Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation |

1195 | T-5-M-333 | Multi-Stage Image Quality Assessment of Diffusion MRI via Semi-Supervised Nonlocal Residual Networks |

1201 | W-9-M-265 | Captioning Ultrasound Images Automatically |

1203 | W-8-M-257 | Direct Visual and Haptic Volume Rendering of Medical Data Sets for an Immersive Exploration in Virtual Reality |

1207 | 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 |

1211 | W-7-B-034 | Regression-based Line Detection Network for Delineation of Largely Deformed Brain Midline |

1218 | T-5-M-339 | Model Learning: Primal Dual Networks for Fast MR imaging |

1221 | T-4-B-092 | Mask-MCNet: Instance Segmentation in 3D Point Cloud of Intra-oral Scans |

1222 | T-4-B-101 | Interactive deep editing framework for medical image segmentation |

1223 | T-5-F-346 | A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging |

1227 | T-5-F-355 | Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks |

1231 | M-2-M-267 | CoCa-GAN: Common-feature-learning-based Context-aware Generative Adversarial Network for Glioma Grading |

1232 | T-4-B-112 | Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray |

1235 | M-2-M-273 | Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brains |

1242 | M-2-M-282 | Deep Probabilistic Modeling of Glioma Growth |

1252 | T-4-B-121 | Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice |

1255 | T-4-B-125 | Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images through Recurrent Attention |

1257 | W-8-M-266 | Towards a first mixed-reality first person point of view needle navigation system |

1262 | T-4-B-130 | CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke |

1263 | M-2-M-288 | An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms |

1272 | M-2-M-297 | Graph Neural Network for Interpreting Task-fMRI Biomarkers |

1283 | M-2-M-303 | Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions |

1288 | M-1-M-292 | GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy |

1289 | T-5-F-366 | Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging |

1295 | W-7-B-043 | Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis |

1296 | M-2-M-312 | Disease Knowledge Transfer across Neurodegenerative Diseases |

1297 | W-7-B-050 | Deep Granular Feature-Label Distribution Learning for Neuroimaging-based Infant Age Prediction |

1300 | M-2-M-318 | Automated Parcellation of the Cortex using Structural Connectome Harmonics |

1302 | W-7-B-059 | A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations |

1303 | T-4-B-137 | Matwo-CapsNet: A Multi-Label Semantic Segmentation Capsules Network |

1307 | M-2-M-327 | Probing Brain Micro-Architecture by Orientation Distribution Invariant Identification of Diffusion Compartments |

1310 | M-2-M-331 | Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments |

1327 | W-7-B-073 | Automatic paraspinal muscle segmentation in patients with lumbar pathology using deep convolutional neural network |

1340 | W-9-M-275 | Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation |

1346 | M-1-M-299 | Evidence Localization for Pathology Images using Weakly Supervised Learning |

1349 | T-4-B-145 | Brain Segmentation from k-space with End-to-end Recurrent Attention Network |

1354 | W-7-B-082 | Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics |

1360 | T-4-B-151 | Integrating cross-modality hallucinated MR information with CT to aid mediastinal lung tumor segmentation |

1362 | W-9-M-286 | Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers |

1366 | W-9-M-295 | Virtual Cardiac Surgical Planning through Hemodynamics Simulation and Design Optimization of Fontan Grafts |

1369 | T-4-B-160 | PAN: Projective Adversarial Network for Medical Image Segmentation |

1371 | M-2-M-336 | Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators |

1372 | W-8-M-274 | Automated Surgical Activity Recognition with One Labeled Sequence |

1375 | M-2-M-342 | Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis |

1381 | T-4-M-165 | Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks |

1382 | T-5-F-373 | Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation |

1387 | T-4-M-170 | Image-and-Spatial Transformer Networks for Structure-Guided Image Registration |

1394 | W-7-B-088 | Task Adaptive Metric Space for Medium-Shot Medical Image Classification |

1419 | W-9-M-305 | Real-time 3D reconstruction of colonoscopic surfaces for determining missing regions |

1421 | M-1-M-308 | Active Appearance Model Induced Generative Adversarial Networks for Controlled Data Augmentation |

1424 | T-5-F-379 | Isotropic MRI Super-Resolution Reconstruction with Multi-Scale Gradient Field Prior |

1427 | T-5-F-393 | Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks |

1431 | M-2-F-418 |
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions |

1434 | M-2-F-352 | Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework |

1438 | M-1-M-313 | Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss |

1446 | W-9-M-316 | MeshSNet: Deep Multi-Scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces |

1451 | M-2-F-361 | Identify Hierarchical Structures from Task-based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net |

1453 | M-2-F-363 | Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-state fMRI |

1458 | M-1-M-322 | Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes |

1460 | T-4-M-175 | Constrained Domain Adaptation for Segmentation |

1471 | W-8-M-287 | ARAMIS: Augmented Reality Assistance for Minimally Invasive Surgery using a Head-Mounted Display |

1472 | T-5-F-402 | Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets |

1475 | T-5-F-407 | SWTV-ACE: Spatially Weighted Regularization based Attenuation Coefficient Estimation Method for Hepatic Steatosis Detection |

1476 | T-5-F-416 | Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks |

1483 | M-2-F-370 | Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices |

1487 | M-2-F-376 | Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression |

1488 | T-4-M-181 | Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images |

1500 | T-4-M-190 | Automated detection and type classification of central venous catheters in chest X-rays |

1502 | W-7-B-097 | DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning |

1503 | T-4-M-200 | Whole Heart and Great Vessel Segmentation in Congenital Heart Disease using Deep Neural Networks and Graph Matching |

1507 | T-4-M-211 | Neural Architecture Search for Adversarial Medical Image Segmentation |

1512 | T-4-M-220 | Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging |

1513 | T-4-M-230 | Cardiac MRI Segmentation with Strong Anatomical Guarantees |

1514 | W-9-M-325 | A deep regression model for seed localization in prostate brachytherapy |

1522 | M-2-F-385 | Optimal experimental design for biophysical modelling in multidimensional diffusion MRI |

1524 | M-2-F-390 | Fast Polynomial Approximation to Heat Diffusion in Manifolds |

1525 | W-9-M-338 | Harmonic Balance Techniques in Cardiovascular Fluid Mechanics |

1530 | W-9-F-350 | Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D Flow MRI |

1531 | W-8-F-343 |
Development of an Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation |

1539 | M-1-M-332 | Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy |

1541 | M-2-F-399 | Uncertainty-informed detection of epileptogenic brain malformations using Bayesian neural networks |

1542 | T-4-M-241 | Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders |

1547 | T-5-F-421 | Fused Detection of Retinal Biomarkers in OCT Volumes |

1551 | W-7-B-106 | Deep Multi Label Classification in Affine Subspaces |

1557 | W-8-M-304 | One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud |

1566 | M-1-F-347 | Vessel-Net: Retinal Vessel Segmentation under Multi-path Supervision |

1575 | M-2-F-404 | Intrinsic Patch-based Cortical Anatomical Parcellation using Graph Convolutional Neural Network on Surface Manifold |

1579 | T-4-M-250 | Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data |

1590 | T-5-F-430 | RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting |

1596 | M-2-F-413 | Hierarchical parcellation of the cerebellum |

1597 | W-8-M-317 | Towards Multiple Instance Learning and Hermann Weyl’s Discrepancy for Robust Image-Guided Bronchoscopic Intervention |

1604 | T-4-M-260 | Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images |

1606 | W-8-M-326 | A Novel Endoscopic Navigation System: Simultaneous Endoscope and Radial Ultrasound Probe Tracking Without External Trackers |

1611 | T-4-M-271 | Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images |

1617 | T-4-M-280 | Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks |

1619 | M-2-M-296 |
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder |

1622 | M-2-F-427 | Joint Identification of Network Hub Nodes by Multivariate Graph Inference |

1624 | W-9-F-359 | Generating Pareto optimal dose distributions for radiation therapy treatment planning |

1632 | W-7-B-116 | Dynamic Spectral Convolution Networks with Assistant Task Training for Early MCI diagnosis |

1635 | M-2-F-434 | Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks |

1640 | W-9-F-368 | Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function |

1649 | W-7-B-126 | LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke |

1653 | T-4-M-290 | Group-wise Graph Matching of Cortical Gyral Hinges |

1657 | M-1-F-356 | Limited-Angle Diffuse Optical Tomography Image Reconstruction using Deep Learning |

1664 | T-4-M-301 | CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion |

1665 | T-4-M-310 | Multi-view Graph Matching of Cortical Landmarks |

1666 | M-2-E-437 | Multi-layer temporal network analysis reveals increasing temporal reachability and spreadability in the first two years of life |

1668 | W-9-F-383 | Fetal Pose Estimation in Volumetric MRI using 3D Convolution Neural Network |

1678 | W-7-B-133 | Similarity steered generative adversarial network and adaptive transfer learning for malignancy characterization of hepatocellualr carcinoma |

1683 | W-8-M-337 | Learning to Detect Collisions for Continuum Manipulators without a Prior Model |

1695 | W-7-B-142 | INN: Inflated Neural Networks for IPMN Diagnosis |

1699 | M-2-E-442 | Recurrent sub-volume analysis of head CT scans for the detection of intracranial hemorrhage |

1708 | W-7-B-148 | Contextual Deep Regression Network for Volume Estimation in Orbital CT |

1718 | W-7-B-156 | Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation |

1720 | W-7-M-173 | Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images |

1740 | T-4-M-320 | Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation |

1741 | W-7-M-186 | Efficient Soft-Constrained Clustering for Group-Based Labeling |

1745 | M-1-F-374 | CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels |

1753 | T-4-M-329 | HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images |

1764 | T-5-E-440 | Learned Full-sampling Reconstruction |

1769 | M-1-F-380 | Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images |

1771 | W-7-M-195 | Uncertainty measurements for the reliable classification of mammograms |

1772 | W-7-M-204 | Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation |

1773 | W-7-M-216 | Adversarial Policy Gradient for Deep Learning Image Augmentation |

1775 | T-5-E-445 | A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning |

1776 | W-8-F-351 | Continually Modeling Alzheimer’s Disease Progression via Deep Multi-Order Preserving Weight Consolidation |

1794 | M-1-F-394 | Precise Separation of Adjacent Nuclei using a Siamese Neural Network |

1814 | M-1-F-403 | Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging |

1815 | T-4-M-334 | Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks |

1823 | W-7-M-225 | Decoding brain functional connectivity implicated in AD and MCI |

1825 | T-4-M-340 | Deep Cascaded Attention Networks for Multi-task Brain Tumor Segmentation |

1843 | M-1-F-408 | Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models |

1849 | T-5-E-450 | Single Image Based Reconstruction of High Field-like MR Images |

1850 | T-4-F-345 | Probabilistic Atlases to Enforce Topological Constraints |

1851 | W-8-F-360 | Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery |

1861 | W-7-M-234 | Robust Cochlear Modiolar Axis Detection in CT |

1863 | T-4-F-354 | Dual-Stream Pyramid Registration Network |

1868 | T-5-E-455 | Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework |

1871 | T-5-E-460 | A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement |

1873 | M-1-F-422 | Multi-task learning of a deep K-nearest neighbour network for histopathological image classification and retrieval |

1879 | W-8-F-369 | Deep Sequential Mosaicking of Fetoscopic Videos |

1889 | W-7-M-246 | Siamese U-Net with Healthy Template for Accurate Segmentation of Intracranial Hemorrhage |

1899 | W-9-F-389 | Towards whole placenta segmentation at late gestation using multi-view ultrasound images |

1900 | T-4-F-365 | ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths |

1916 | W-7-M-255 | Realistic Breast Mass Generation through BIRADS Category |

1923 | W-9-F-397 | Gastric cancer detection from endoscopic images using synthesis by GAN |

1927 | T-4-F-372 | Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy |

1931 | W-7-M-264 | Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classfication |

1934 | W-7-M-276 | Normal appearance autoencoder for lung cancer detection and segmentation |

1935 | M-1-E-451 | Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate |

1936 | W-7-M-285 | Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss |

1939 | T-4-F-378 | Tubular Structure Segmentation Using Spatial Fully Connected Network With Radial Distance Loss for 3D Medical Images |

1951 | M-2-E-447 | Complete Fetal Head Compounding from Multi-View 3D Ultrasound |

1957 | W-7-M-294 | Learning from Longitudinal Mammography Studies |

1960 | M-2-E-452 | Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties |

1964 | T-4-F-387 | Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography |

1983 | M-2-E-457 | A Deep Learning Framework for Noise Component Detection from Resting-state Functional MRI |

1985 | T-4-F-392 | A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation |

1987 | W-7-M-306 | Weakly Supervised Universal Fracture Detection in Pelvic X-rays |

1993 | M-2-E-462 | Harmonization of Infant Cortical Thickness using Surface-to-Surface Cycle-Consistent Adversarial Networks |

1995 | M-1-E-456 | Deep Multi-Instance Learning for survival prediction from Whole Slide Images |

2004 | W-7-M-315 | A Comprehensive Framework for Accurate Classification of Pulmonary Nodules |

2012 | W-7-M-324 | Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis |

2013 | W-9-F-411 | Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery |

2019 | M-1-E-461 | Combined Learning for Similar Tasks with Domain-Switching Networks |

2024 | W-8-F-384 | A generative model of hyperelastic strain energy density functions for real-time simulation of brain tissue deformation |

2026 | W-7-F-349 | Texture-based classification of significant stenosis in CCTA multi-view images of coronary arteries |

2032 | M-1-E-467 | PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning |

2041 | W-7-F-358 | A Surface-Theoretic Approach for Statistical Shape Modeling |

2044 | M-1-E-476 | ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images |

2055 | T-5-E-468 | Image data validation for medical systems |

2059 | W-7-F-367 | How to learn from unlabeled volume data: Self-Supervised 3D Context Feature Learning |

2061 | T-4-F-401 | Online atlasing using an iterative centroid |

2066 | W-8-F-398 | Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images |

2072 | T-4-F-406 | Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation |

2076 | W-7-F-382 | Retinal Abnormalities Recognition Using Regional Multitask Learning |

2083 | T-4-F-415 | Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling |

2093 | W-7-F-388 | Refined Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants |

2102 | T-5-E-477 | Multi-Stage Prediction Networks for Data Harmonization |

2106 | T-4-F-420 | Unsupervised Quality Control of Image Segmentation based on Bayesian Learning |

2108 | M-2-E-471 | Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network |

2117 | T-5-E-486 | 3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images |

2127 | 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 |

2132 | M-1-E-485 | Unsupervised Subtyping of Cholangiocarcinoma Using A Deep Clustering Convolutional Autoencoder |

2135 | W-8-F-417 | Simulation of Balloon-Expandable Coronary Stent Apposition with Plastic Beam Elements |

2147 | T-4-F-429 | U-ReSNet: Ultimate coupling of Registration and Segmentation with deep Nets |

2148 | T-5-E-495 | Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment |

2151 | T-5-E-504 | Linear Time Invariant Model based Motion Correction (LiMo-Moco) of Dynamic Radial Contrast Enhanced MRI |

2154 | M-1-E-496 | Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy images |

2155 | M-1-E-505 | Whole-Sample Mapping of Cancerous and Benign Tissue Properties |

2158 | W-8-F-426 | Using 3D Convolutional Neural Networks to learn spatiotemporal features for automatic surgical gesture recognition in video |

2163 | M-1-E-514 | Accelerated ML-assisted Tumor Detection in High-Resolution Histopathology Images |

2166 | W-7-F-396 | Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic Latent Space |

2173 | W-8-F-433 | Landmark-guided Deformable Image Registration for Supervised Autonomous Robotic Tumor Resection |

2174 | M-2-E-480 | Deep white matter analysis: fast, consistent tractography segmentation across populations and dMRI acquisitions |

2176 | T-4-F-436 | PHiSeg: Capturing Uncertainty in Medical Image Segmentation |

2184 | T-4-E-439 | Generative adversarial network for segmentation of motion affected neonatal brain MRI |

2185 | T-4-E-444 | Unsupervised Deformable Image Registration Using Cycle-Consistent CNN |

2190 | W-8-E-463 | 3D Modelling of the residual freezing for renal cryoablation simulation and prediction |

2192 | T-4-E-449 | mlVIRNET: Multilevel Variational Image Registration Network |

2199 | T-4-E-454 | Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation |

2207 | T-5-E-513 | Deep Variational Networks with Exponential Weighting for Learning Computed Tomography |

2225 | T-4-E-459 | Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images |

2226 | M-2-E-492 | Early Development of Infant Brain Complex Network |

2227 | T-4-E-469 | Curriculum semi-supervised segmentation |

2229 | W-9-F-425 | Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization |

2232 | W-8-E-472 | Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation |

2237 | T-4-E-478 | Bronchial Cartilage Assessment with Model-Based GAN Regressor |

2252 | T-4-E-487 | Fully convolutional boundary regression for retina OCT segmentation |

2267 | W-9-F-432 | Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic Reflector |

2273 | T-5-E-517 | Cone-Beam Computed Tomography (CBCT) segmentation by adversarial learning domain adaptation |

2274 | M-1-E-516 | Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework |

2277 | T-5-E-522 | Medical-based Deep Curriculum Learning for Improved Fracture Classification |

2279 | W-7-F-410 | A Deep Learning Design for improving Topology Coherence in Blood Vessel Segmentation |

2281 | T-4-E-494 | Targeting Precision with Data Augmented Samples in Deep Learning |

2283 | T-4-E-503 | Permutohedral Attention Module for Efficient Non-Local Neural Networks |

2284 | T-5-E-527 | Model-based reconstruction for highly accelerated first-pass perfusion cardiac MRI |

2289 | W-8-E-481 | Physics-based Deep Neural Network for Augmented Reality during Liver Surgery |

2292 | M-1-E-521 | Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification |

2294 | W-8-E-491 | Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training |

2295 | W-9-E-446 | A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-time Endocardial Mapping |

2296 | W-7-F-424 | Learning Interpretable Features via Adversarially Robust Optimization |

2297 | W-7-F-431 | Adaptive image-feature learning for disease classification using inductive graph networks |

2314 | T-4-E-512 | Spectral CT based training dataset generation and augmentation for conventional CT vascular segmentation |

2315 | W-7-E-441 | Spatial-Frequency Non-Local Convolutional LSTM Network for pRCC classification |

2318 | W-7-E-465 | Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data |

2319 | W-7-E-474 | Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation |

2329 | W-7-E-483 | STructural Rectal Atlas Deformation (StRAD) features for characterizing intra- and peri-wall chemoradiation response on MRI |

2332 | W-7-E-489 | Response Estimation through Spatially Oriented Neural Network and Texture Ensemble (RESONATE) |

2352 | W-9-E-464 | An unsupervised domain adaptation approach to classification of stem cell-derived cardiomyocytes |

2361 | M-2-E-501 | Fast and Scalable Optimal Transport for Brain Tractograms |

2367 | T-4-E-518 | A Soft STAPLE Algorithm Combined with Anatomical Knowledge |

2371 | W-9-E-473 | Deep Learning based Metal Artifacts Reduction in post-operative Cochlear Implant CT Imaging |

2378 | M-2-E-510 | A matched filter decomposition of fMRI into resting and task components |

2384 | M-2-E-515 | Cortical Surface Parcellation using Spherical Convolutional Neural Networks |

2397 | W-8-E-500 | Conditional Segmentation in Lieu of Image Registration |

2406 | M-2-E-520 | Topographic Filtering of Tractograms as Vector Field Flows |

2413 | T-4-E-523 | Volumetric Attention for 3D Medical Image Segmentation and Detection |

2417 | M-2-E-525 | Learned attention maps for 3D CNN prediction of future disease progression from patient images |

2439 | W-7-E-498 | Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays |

2443 | W-9-E-482 | Semi-autonomous Robotic Anastomoses of Vaginal Cuffs using Marker Enhanced 3D Imaging and Path Planning |

2455 | W-9-E-490 | Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model |

2457 | W-7-E-507 | Dual-view Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms |

2461 | T-5-E-532 | Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data |

2489 | M-2-E-530 | Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression |

2495 | W-8-E-509 | Investigating the role of VR in a simulation-based medical planning system for coronary interventions |

2552 | M-2-E-535 | Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance |

2558 | M-1-E-526 | Coidentification of group-level hole structures in brain networks via Hodge Laplacian |

2560 | T-4-E-528 | Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences using Contextual Memory |

2563 | W-9-E-499 | Deep Learning-based Universal Beamformer for Ultrasound Imaging |

2564 | T-4-E-533 | Resource_Optimized_Neural_Architecture_Search_for_3D_Medical_Image_Segmentation |

2569 | M-1-E-531 | Diverse Multiple Prediction on Neural Image Reconstruction |

2587 | M-2-E-540 | HR-CAM: Precise Localization of pathology using multi-level learning in CNNs |

2601 | W-9-E-508 | Doubly Weak Supervision of Deep Learning Models for Head CT |

2628 | T-4-E-538 | Improving Multi-Atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation |

2632 | T-5-E-537 | Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs |

2635 | M-1-E-536 | Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification |