Medical image computing and computer assisted intervention -- MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings. Part II

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 Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation (Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu)....Pages 3-11 Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound (Houssam El-Hariri, Kishore Mulpuri, Antony Hodgson, Rafeef Garbi)....Pages 12-20 Unsupervised Quality Control of Image Segmentation Based on Bayesian Learning (Benoît Audelan, Hervé Delingette)....Pages 21-29 One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation (Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel)....Pages 30-38 ‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans (Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger)....Pages 39-47 Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation (Alain Jungo, Mauricio Reyes)....Pages 48-56 Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation (Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang)....Pages 57-65 Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network (Shadab Khan, Ahmed H. Shahin, Javier Villafruela, Jianbing Shen, Ling Shao)....Pages 66-73 Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation (Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren)....Pages 74-82 Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling (Meng Dong, Dong Liu, Zhiwei Xiong, Xuejin Chen, Yueyi Zhang, Zheng-Jun Zha et al.)....Pages 83-91 Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice (Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops et al.)....Pages 92-100 Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation (Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas et al.)....Pages 101-109 HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images (Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia)....Pages 110-118 PHiSeg: Capturing Uncertainty in Medical Image Segmentation (Christian F. Baumgartner, Kerem C. Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat et al.)....Pages 119-127 Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data (Chunwei Ma, Zhanghexuan Ji, Mingchen Gao)....Pages 128-136 Supervised Uncertainty Quantification for Segmentation with Multiple Annotations (Shi Hu, Daniel Worrall, Stefan Knegt, Bas Veeling, Henkjan Huisman, Max Welling)....Pages 137-145 3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images (Guodong Zeng, Guoyan Zheng)....Pages 146-154 Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation (Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman et al.)....Pages 155-163 Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data (Shoujun Zhou, Na Li, Baochang Zhang, Cheng Wang, Zonghan Wu, Jun Yang et al.)....Pages 164-172 Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory (Tejas Sudharshan Mathai, Vijay Gorantla, John Galeotti)....Pages 173-181 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 P. Harrison, Jing Xiao, Chen-kan Tseng et al.)....Pages 182-191 Mixed-Supervised Dual-Network for Medical Image Segmentation (Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang et al.)....Pages 192-200 Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks (Ningning Zhao, Nuo Tong, Dan Ruan, Ke Sheng)....Pages 201-209 Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation (Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu)....Pages 210-218 Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images (Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer)....Pages 219-227 Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation (Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung)....Pages 228-236 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 et al.)....Pages 237-245 Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks (Qi Zeng, Davood Karimi, Emily H. T. Pang, Shahed Mohammed, Caitlin Schneider, Mohammad Honarvar et al.)....Pages 246-254 Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation (Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, MingDe Lin, James S. Duncan)....Pages 255-263 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 et al.)....Pages 264-272 Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation (Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes)....Pages 273-281 Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation (Chaowei Tan, Zhennan Yan, Shaoting Zhang, Kang Li, Dimitris N. Metaxas)....Pages 282-290 3D U\(^2\)-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation (Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, S. Kevin Zhou)....Pages 291-299 Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation (Utku Ozbulak, Arnout Van Messem, Wesley De Neve)....Pages 300-308 Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation (Yunhe Gao, Chang Liu, Liang Zhao)....Pages 309-317 Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network (Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele C. Battié, Terry M. Peters et al.)....Pages 318-325 Constrained Domain Adaptation for Segmentation (Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed)....Pages 326-334 Front Matter ....Pages 335-335 Image-and-Spatial Transformer Networks for Structure-Guided Image Registration (Matthew C. H. Lee, Ozan Oktay, Andreas Schuh, Michiel Schaap, Ben Glocker)....Pages 337-345 Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration (Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng)....Pages 346-354 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 et al.)....Pages 355-363 TopAwaRe: Topology-Aware Registration (Rune Kok Nielsen, Sune Darkner, Aasa Feragen)....Pages 364-372 Multimodal Data Registration for Brain Structural Association Networks (David S. Lee, Ashish Sahib, Benjamin Wade, Katherine L. Narr, Gerhard Hellemann, Roger P. Woods et al.)....Pages 373-381 Dual-Stream Pyramid Registration Network (Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes)....Pages 382-390 A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration (Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker)....Pages 391-400 Conditional Segmentation in Lieu of Image Registration (Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren)....Pages 401-409 On the Applicability of Registration Uncertainty (Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk et al.)....Pages 410-419 DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation (Zhenlin Xu, Marc Niethammer)....Pages 420-429 Linear Time Invariant Model Based Motion Correction (LiMo-MoCo) of Dynamic Radial Contrast Enhanced MRI (Jaume Coll-Font, Onur Afacan, Jeanne Chow, Sila Kurugol)....Pages 430-437 Incompressible Image Registration Using Divergence-Conforming B-Splines (Lucas Fidon, Michael Ebner, Luis C. Garcia-Peraza-Herrera, Marc Modat, Sébastien Ourselin, Tom Vercauteren)....Pages 438-446 Front Matter ....Pages 447-447 Direct Quantification for Coronary Artery Stenosis Using Multiview Learning (Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li)....Pages 449-457 Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization (Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horáček, Linwei Wang)....Pages 458-467 Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography (Han Yang, Junxuan Chen, Ying Chi, Xuansong Xie, Xiansheng Hua)....Pages 468-476 Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching (Xiaowei Xu, Tianchen Wang, Yiyu Shi, Haiyun Yuan, Qianjun Jia, Meiping Huang et al.)....Pages 477-485 Harmonic Balance Techniques in Cardiovascular Fluid Mechanics (Taha Sabri Koltukluoğlu, Gregor Cvijetić, Ralf Hiptmair)....Pages 486-494 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 L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou)....Pages 495-504 k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations (Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph Hajnal et al.)....Pages 505-513 Model-Based Reconstruction for Highly Accelerated First-Pass Perfusion Cardiac MRI (Teresa Correia, Torben Schneider, Amedeo Chiribiri)....Pages 514-522 Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images (Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen, Wenjia Bai, Daniel Rueckert)....Pages 523-531 Right Ventricle Segmentation in Short-Axis MRI Using a Shape Constrained Dense Connected U-Net (Hao Yang, Zexiong Liu, Xuan Yang)....Pages 532-540 Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction (Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen et al.)....Pages 541-549 A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation (Rongzhao Zhang, Albert C. S. Chung)....Pages 550-558 Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors (Qian Yue, Xinzhe Luo, Qing Ye, Lingchao Xu, Xiahai Zhuang)....Pages 559-567 Curriculum Semi-supervised Segmentation (Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed)....Pages 568-576 A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information (Chaoyang Xia, Xiaojie Li, Xin Wang, Bin Kong, Yucheng Chen, Youbing Yin et al.)....Pages 577-585 3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata (Rahman Attar, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen et al.)....Pages 586-594 Discriminative Consistent Domain Generation for Semi-supervised Learning (Jun Chen, Heye Zhang, Yanping Zhang, Shu Zhao, Raad Mohiaddin, Tom Wong et al.)....Pages 595-604 Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation (Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng)....Pages 605-613 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 et al.)....Pages 614-622 The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN (Wenjun Yan, Yuanyuan Wang, Shengjia Gu, Lu Huang, Fuhua Yan, Liming Xia et al.)....Pages 623-631 Cardiac MRI Segmentation with Strong Anatomical Guarantees (Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin)....Pages 632-640 Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images (Yizhe Zhang, Michael T. C. Ying, Danny Z. Chen)....Pages 641-650 Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets (Le Zhang, Marco Pereañez, Christopher Bowles, Stefan Piechnik, Stefan Neubauer, Steffen Petersen et al.)....Pages 651-659 Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks (Le Zhang, Marco Pereañez, Christopher Bowles, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen et al.)....Pages 660-668 Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation (Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert)....Pages 669-677 Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation (Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu et al.)....Pages 678-686 Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks (Zhibin Liao, Mohammad H. Jafari, Hany Girgis, Kenneth Gin, Robert Rohling, Purang Abolmaesumi et al.)....Pages 687-695 Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms (Delaram Behnami, Zhibin Liao, Hany Girgis, Christina Luong, Robert Rohling, Ken Gin et al.)....Pages 696-704 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, Teresa Tsang)....Pages 705-713 Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images (Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang et al.)....Pages 714-722 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 et al.)....Pages 723-731 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, Junichi Iho et al.)....Pages 732-740 Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D Flow MRI (Taha Sabri Koltukluoğlu)....Pages 741-749 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 A. Popescu, Konrad Werys, Elena Lukaschuk et al.)....Pages 750-758 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 et al.)....Pages 759-767 Spectral CT Based Training Dataset Generation and Augmentation for Conventional CT Vascular Segmentation (Pierre-Jean Lartaud, Aymeric Rouchaud, Jean-Michel Rouet, Olivier Nempont, Loic Boussel)....Pages 768-775 Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging (Zhifan Gao, Shuo Li)....Pages 776-784 Front Matter ....Pages 785-785 Neural Parameters Estimation for Brain Tumor Growth Modeling (Ivan Ezhov, Jana Lipkova, Suprosanna Shit, Florian Kofler, Nore Collomb, Benjamin Lemasson et al.)....Pages 787-795 Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation (Baha Eddine Ezzine, Islem Rekik)....Pages 796-805 Deep Probabilistic Modeling of Glioma Growth (Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick et al.)....Pages 806-814 Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain (Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap et al.)....Pages 815-822 Variational AutoEncoder for Regression: Application to Brain Aging Analysis (Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl)....Pages 823-831 Early Development of Infant Brain Complex Network (Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu et al.)....Pages 832-840 Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties (Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore et al.)....Pages 841-849 Continually Modeling Alzheimer’s Disease Progression via Deep Multi-order Preserving Weight Consolidation (Jie Zhang, Yalin Wang)....Pages 850-859 Disease Knowledge Transfer Across Neurodegenerative Diseases (Răzvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby et al.)....Pages 860-868 Back Matter ....Pages 869-874