Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI

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The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging. Front Matter ....Pages i-xxxviii Front Matter ....Pages 1-1 Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma (Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille)....Pages 3-12 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)....Pages 13-21 Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification (Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li et al.)....Pages 22-30 BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization (Il Yong Chun, Xuehang Zheng, Yong Long, Jeffrey A. Fessler)....Pages 31-40 Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning (Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue et al.)....Pages 41-49 Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks (Mattias P. Heinrich)....Pages 50-58 Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning (Dan Nguyen, Azar Sadeghnejad Barkousaraie, Chenyang Shen, Xun Jia, Steve Jiang)....Pages 59-67 PAN: Projective Adversarial Network for Medical Image Segmentation (Naji Khosravan, Aliasghar Mortazi, Michael Wallace, Ulas Bagci)....Pages 68-76 Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction (Haofu Liao, Wei-An Lin, Zhimin Huo, Levon Vogelsang, William J. Sehnert, S. Kevin Zhou et al.)....Pages 77-85 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 et al.)....Pages 86-94 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 et al.)....Pages 95-103 Contextual Deep Regression Network for Volume Estimation in Orbital CT (Shikha Chaganti, Cam Bermudez, Louise A. Mawn, Thomas Lasko, Bennett A. Landman)....Pages 104-111 Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images (Hristina Uzunova, Jan Ehrhardt, Fabian Jacob, Alex Frydrychowicz, Heinz Handels)....Pages 112-120 Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging (Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara et al.)....Pages 121-129 ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans (Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi)....Pages 130-138 DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy (Yuting He, Guanyu Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang et al.)....Pages 139-147 Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior (Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto et al.)....Pages 148-156 Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network (Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng)....Pages 157-165 Unsupervised Deformable Image Registration Using Cycle-Consistent CNN (Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye)....Pages 166-174 Volumetric Attention for 3D Medical Image Segmentation and Detection (Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos)....Pages 175-184 Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention (Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See)....Pages 185-193 MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation (Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu et al.)....Pages 194-202 Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction (Haofu Liao, Wei-An Lin, Jianbo Yuan, S. Kevin Zhou, Jiebo Luo)....Pages 203-211 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 et al.)....Pages 212-220 Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation (Jiang Jue, Hu Jason, Tyagi Neelam, Rimner Andreas, Berry L. Sean, Deasy O. Joseph et al.)....Pages 221-229 Bronchus Segmentation and Classification by Neural Networks and Linear Programming (Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, Yunxiang Mao)....Pages 230-239 Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models (Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger R. Roth, Masahiro Oda et al.)....Pages 240-248 Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation (Mehdi Astaraki, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang)....Pages 249-256 mlVIRNET: Multilevel Variational Image Registration Network (Alessa Hering, Bram van Ginneken, Stefan Heldmann)....Pages 257-265 NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation (Hao Tang, Chupeng Zhang, Xiaohui Xie)....Pages 266-274 Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition (Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou)....Pages 275-283 Targeting Precision with Data Augmented Samples in Deep Learning (Pietro Nardelli, Raúl San José Estépar)....Pages 284-292 Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images (Hejie Cui, Xinglong Liu, Ning Huang)....Pages 293-300 Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster (Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng)....Pages 301-309 Deep Variational Networks with Exponential Weighting for Learning Computed Tomography (Valery Vishnevskiy, Richard Rau, Orcun Goksel)....Pages 310-318 R\(^{2}\)-Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal (Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin)....Pages 319-327 Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT (Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Shuo Li)....Pages 328-338 Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images (Huai Chen, Xiuying Wang, Yijie Huang, Xiyi Wu, Yizhou Yu, Lisheng Wang)....Pages 339-347 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 F. Frangi et al.)....Pages 348-356 Bronchial Cartilage Assessment with Model-Based GAN Regressor (Pietro Nardelli, George R. Washko, Raúl San José Estépar)....Pages 357-365 Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy (Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Išgum, Marius Staring)....Pages 366-374 Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis (Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Loeffler, Jan S. Kirschke, Bjoern H. Menze)....Pages 375-383 Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging (Alexander Oliver Mader, Cristian Lorenz, Jens von Berg, Carsten Meyer)....Pages 384-392 Permutohedral Attention Module for Efficient Non-local Neural Networks (Samuel Joutard, Reuben Dorent, Amanda Isaac, Sebastien Ourselin, Tom Vercauteren, Marc Modat)....Pages 393-401 Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels (Martin Zlocha, Qi Dou, Ben Glocker)....Pages 402-410 Front Matter ....Pages 411-411 PRSNet: Part Relation and Selection Network for Bone Age Assessment (Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin)....Pages 413-421 Mask Embedding for Realistic High-Resolution Medical Image Synthesis (Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm et al.)....Pages 422-430 TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays (Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers)....Pages 431-440 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)....Pages 441-449 Adversarial Policy Gradient for Deep Learning Image Augmentation (Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia)....Pages 450-458 Weakly Supervised Universal Fracture Detection in Pelvic X-Rays (Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao et al.)....Pages 459-467 Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography (Li Xiao, Cheng Zhu, Junjun Liu, Chunlong Luo, Peifang Liu, Yi Zhao)....Pages 468-476 From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network (Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang et al.)....Pages 477-485 Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis (Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson)....Pages 486-494 Uncertainty Measurements for the Reliable Classification of Mammograms (Mickael Tardy, Bruno Scheffer, Diana Mateus)....Pages 495-503 GraphX\(^\mathbf{\small NET } -\) Chest X-Ray Classification Under Extreme Minimal Supervision (Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan et al.)....Pages 504-512 3DFPN-HS\(^2\): 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection (Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian)....Pages 513-521 Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays (Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer Syeda-Mahmood)....Pages 522-530 Hand Pose Estimation for Pediatric Bone Age Assessment (María Escobar, Cristina González, Felipe Torres, Laura Daza, Gustavo Triana, Pablo Arbeláez)....Pages 531-539 An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms (Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao)....Pages 540-548 Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations (Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Shadi Albarqouni, Rebecca Fahrig et al.)....Pages 549-557 LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Cues (Yucheng Shu, Xiao Wu, Weisheng Li)....Pages 558-566 Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation (Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang et al.)....Pages 567-575 Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation (Haidong Zhu, Jialin Shi, Ji Wu)....Pages 576-584 Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders (Agostina J. Larrazabal, Cesar Martinez, Enzo Ferrante)....Pages 585-593 Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs (Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin et al.)....Pages 594-602 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 P. Harrison, Jing Xiao, Chen-kan Tseng et al.)....Pages 603-612 Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray (Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou et al.)....Pages 613-621 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 et al.)....Pages 622-630 Towards Fully Automatic X-Ray to CT Registration (Javier Esteban, Matthias Grimm, Mathias Unberath, Guillaume Zahnd, Nassir Navab)....Pages 631-639 Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks (Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab et al.)....Pages 640-648 How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning (Maximilian Blendowski, Hannes Nickisch, Mattias P. Heinrich)....Pages 649-657 Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis (Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li)....Pages 658-666 Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment (Chuanbin Liu, Hongtao Xie, Yizhi Liu, Zhengjun Zha, Fanchao Lin, Yongdong Zhang)....Pages 667-675 Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment (Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Guendel, Mannudeep K. Kalra, Ramandeep Singh et al.)....Pages 676-684 Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays (Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet, Tolga Tasdizen)....Pages 685-693 Medical-based Deep Curriculum Learning for Improved Fracture Classification (Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab et al.)....Pages 694-702 Realistic Breast Mass Generation Through BIRADS Category (Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, Yong Man Ro)....Pages 703-711 Learning from Longitudinal Mammography Studies (Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit)....Pages 712-720 Automatic Radiology Report Generation Based on Multi-view Image Fusion and Medical Concept Enrichment (Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo)....Pages 721-729 Multi-label Thoracic Disease Image Classification with Cross-Attention Networks (Congbo Ma, Hu Wang, Steven C. H. Hoi)....Pages 730-738 InfoMask: Masked Variational Latent Representation to Localize Chest Disease (Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh et al.)....Pages 739-747 Longitudinal Change Detection on Chest X-rays Using Geometric Correlation Maps (Dong Yul Oh, Jihang Kim, Kyong Joon Lee)....Pages 748-756 Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation (Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law et al.)....Pages 757-765 Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space (Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang)....Pages 766-774 An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation (Kailai Zhang, Nanfang Xu, Guosheng Yang, Ji Wu, Xiangling Fu)....Pages 775-783 Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data (Maayan Frid-Adar, Rula Amer, Hayit Greenspan)....Pages 784-792 Learning Interpretable Features via Adversarially Robust Optimization (Ashkan Khakzar, Shadi Albarqouni, Nassir Navab)....Pages 793-800 Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs (Gongfa Jiang, Yao Lu, Jun Wei, Yuesheng Xu)....Pages 801-809 Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations (Gerda Bortsova, Florian Dubost, Laurens Hogeweg, Ioannis Katramados, Marleen de Bruijne)....Pages 810-818 Improved Inference via Deep Input Transfer (Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh)....Pages 819-827 Neural Architecture Search for Adversarial Medical Image Segmentation (Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric Xing)....Pages 828-836 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 et al.)....Pages 837-845 Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks (Fei-Fei Xue, Jin Peng, Ruixuan Wang, Qiong Zhang, Wei-Shi Zheng)....Pages 846-854 Back Matter ....Pages 855-860