Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks

Pages 50-58

Heinrich, Mattias P.

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning

Pages 59-67

Nguyen, Dan (et al.)

PAN: Projective Adversarial Network for Medical Image Segmentation

Pages 68-76

Khosravan, Naji (et al.)

Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction

Pages 77-85

Liao, Haofu (et al.)

Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation

Pages 86-94

Liu, Qin (et al.)

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

Pages 95-103

Chen, Jintai (et al.)

Contextual Deep Regression Network for Volume Estimation in Orbital CT

Pages 104-111

Chaganti, Shikha (et al.)

Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images

Pages 112-120

Uzunova, Hristina (et al.)

Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging

Pages 121-129

Wang, Zihao (et al.)

ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans

Pages 130-138

Hussain, Mohammad Arafat (et al.)

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

Pages 139-147

He, Yuting (et al.)

Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior

Pages 148-156

Zheng, Han (et al.)

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network

Pages 157-165

Wang, Renzhen (et al.)

Unsupervised Deformable Image Registration Using Cycle-Consistent CNN

Pages 166-174

Kim, Boah (et al.)

Volumetric Attention for 3D Medical Image Segmentation and Detection

Pages 175-184

Wang, Xudong (et al.)

Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention

Pages 185-193

Tao, Qingyi (et al.)

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

Pages 194-202

Yan, Ke (et al.)

Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

Pages 203-211

Liao, Haofu (et al.)

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks

Pages 212-220

Qin, Yulei (et al.)

Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation

Pages 221-229

Jue, Jiang (et al.)

Bronchus Segmentation and Classification by Neural Networks and Linear Programming

Pages 230-239

Zhao, Tianyi (et al.)

Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models

Pages 240-248

Moriya, Takayasu (et al.)

Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation

Pages 249-256

Astaraki, Mehdi (et al.)

mlVIRNET: Multilevel Variational Image Registration Network

Pages 257-265

Hering, Alessa (et al.)

NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

Pages 266-274

Tang, Hao (et al.)

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition

Pages 275-283

Li, Zeju (et al.)

Targeting Precision with Data Augmented Samples in Deep Learning

Pages 284-292

Nardelli, Pietro (et al.)

Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images

Pages 293-300

Cui, Hejie (et al.)

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster

Pages 301-309

Shao, Qingbin (et al.)

Deep Variational Networks with Exponential Weighting for Learning Computed Tomography

Pages 310-318

Vishnevskiy, Valery (et al.)

R$$^{2}$$-Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal

Pages 319-327

Shen, Tiancheng (et al.)

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT

Pages 328-338

Ge, Rongjun (et al.)

Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images

Pages 339-347

Chen, Huai (et al.)

Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images

Pages 348-356

Wang, Chenglong (et al.)

Bronchial Cartilage Assessment with Model-Based GAN Regressor

Pages 357-365

Nardelli, Pietro (et al.)

Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy

Pages 366-374

Elmahdy, Mohamed S. (et al.)

Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis

Pages 375-383

Sekuboyina, Anjany (et al.)

Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging

Pages 384-392

Mader, Alexander Oliver (et al.)

Permutohedral Attention Module for Efficient Non-local Neural Networks

Pages 393-401

Joutard, Samuel (et al.)

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels

Pages 402-410

Zlocha, Martin (et al.)

PRSNet: Part Relation and Selection Network for Bone Age Assessment

Pages 413-421

Ji, Yuanfeng (et al.)

Mask Embedding for Realistic High-Resolution Medical Image Synthesis

Pages 422-430

Ren, Yinhao (et al.)

TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays

Pages 431-440

Tang, Yuxing (et al.)

Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip

Pages 441-449

Liu, Chuanbin (et al.)

Adversarial Policy Gradient for Deep Learning Image Augmentation

Pages 450-458

Cheng, Kaiyang (et al.)

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays

Pages 459-467

Wang, Yirui (et al.)

Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography

Pages 468-476

Xiao, Li (et al.)

From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network

Pages 477-485

Liu, Yuhang (et al.)

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis

Pages 486-494

Li, Heyi (et al.)

Uncertainty Measurements for the Reliable Classification of Mammograms

Pages 495-503

Tardy, Mickael (et al.)

GraphX$$^\mathbf{\small NET } -$$ Chest X-Ray Classification Under Extreme Minimal Supervision

Pages 504-512

Aviles-Rivero, Angelica I. (et al.)

3DFPN-HS$$^2$$: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

Pages 513-521

Liu, Jingya (et al.)

Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays

Pages 522-530

Subramanian, Vaishnavi (et al.)

Hand Pose Estimation for Pediatric Bone Age Assessment

Pages 531-539

Escobar, María (et al.)

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms

Pages 540-548

Zhong, Zhusi (et al.)

Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations

Pages 549-557

Hariharan, Sai Gokul (et al.)

LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Cues

Pages 558-566

Shu, Yucheng (et al.)

Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation

Pages 567-575

Jia, Xiaoqian (et al.)

Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation

Pages 576-584

Zhu, Haidong (et al.)

Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders

Pages 585-593

Larrazabal, Agostina J. (et al.)

Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs

Pages 594-602

Zhang, Wei (et al.)

Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk

Pages 603-612

Jin, Dakai (et al.)

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray

Pages 613-621

Ouyang, Xi (et al.)

Multi-task Localization and Segmentation for X-Ray Guided Planning in Knee Surgery

Pages 622-630

Kordon, Florian (et al.)

Towards Fully Automatic X-Ray to CT Registration

Pages 631-639

Esteban, Javier (et al.)

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks

Pages 640-648

Burwinkel, Hendrik (et al.)

How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning

Pages 649-657

Blendowski, Maximilian (et al.)

Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis

Pages 658-666

Yang, Jiancheng (et al.)

Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment

Pages 667-675

Liu, Chuanbin (et al.)

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment

Pages 676-684

Ghesu, Florin C. (et al.)

Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays

Pages 685-693

Bigolin Lanfredi, Ricardo (et al.)

Medical-based Deep Curriculum Learning for Improved Fracture Classification

Pages 694-702

Jiménez-Sánchez, Amelia (et al.)

Realistic Breast Mass Generation Through BIRADS Category

Pages 703-711

Lee, Hakmin (et al.)

Learning from Longitudinal Mammography Studies

Pages 712-720

Perek, Shaked (et al.)

Automatic Radiology Report Generation Based on Multi-view Image Fusion and Medical Concept Enrichment

Pages 721-729

Yuan, Jianbo (et al.)

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

Pages 730-738

Ma, Congbo (et al.)

InfoMask: Masked Variational Latent Representation to Localize Chest Disease

Pages 739-747

Taghanaki, Saeid Asgari (et al.)

Longitudinal Change Detection on Chest X-rays Using Geometric Correlation Maps

Pages 748-756

Oh, Dong Yul (et al.)

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation

Pages 757-765

Xing, Yunyan (et al.)

Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space

Pages 766-774

Gyawali, Prashnna Kumar (et al.)

An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation

Pages 775-783

Zhang, Kailai (et al.)

Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data

Pages 784-792

Frid-Adar, Maayan (et al.)

Learning Interpretable Features via Adversarially Robust Optimization

Pages 793-800

Khakzar, Ashkan (et al.)

Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs

Pages 801-809

Jiang, Gongfa (et al.)

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations

Pages 810-818

Bortsova, Gerda (et al.)

Improved Inference via Deep Input Transfer

Pages 819-827

Taghanaki, Saeid Asgari (et al.)

Neural Architecture Search for Adversarial Medical Image Segmentation

Pages 828-836

Dong, Nanqing (et al.)

MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces

Pages 837-845

Lian, Chunfeng (et al.)

Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks

Pages 846-854

Xue, Fei-Fei (et al.)