Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II

Front Matter ....Pages I-XXXII
Front Matter ....Pages 1-1
 Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks  (Christian Payer, Darko Štern, Thomas Neff, Horst Bischof, Martin Urschler)....Pages 3-11
 Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning  (Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia)....Pages 12-20
 SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks  (Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh et al.)....Pages 21-29
 \(\beta \)-Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks  (Mattia Savardi, Sergio Benini, Alberto Signoroni)....Pages 30-38
 A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection  (Maria Ines Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho)....Pages 39-47
 Deep Random Walk for Drusen Segmentation from Fundus Images  (Fang Yan, Jia Cui, Yu Wang, Hong Liu, Hui Liu, Benzheng Wei et al.)....Pages 48-55
 Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation  (Yitian Zhao, Jianyang Xie, Pan Su, Yalin Zheng, Yonghuai Liu, Jun Cheng et al.)....Pages 56-64
 Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images  (José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant)....Pages 65-73
 A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion  (Zhiwen Lin, Ruoqian Guo, Yanjie Wang, Bian Wu, Tingting Chen, Wenzhe Wang et al.)....Pages 74-82
 Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task  (Yishuo Zhang, Albert C. S. Chung)....Pages 83-91
 A Multi-task Network to Detect Junctions in Retinal Vasculature  (Fatmatülzehra Uslu, Anil Anthony Bharath)....Pages 92-100
 A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus Images  (Clément Playout, Renaud Duval, Farida Cheriet)....Pages 101-108
 Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases  (Yitian Zhao, Yalin Zheng, Yifan Zhao, Yonghuai Liu, Zhili Chen, Peng Liu et al.)....Pages 109-118
 Multiscale Network Followed Network Model for Retinal Vessel Segmentation  (Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai)....Pages 119-126
Front Matter ....Pages 127-127
 Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images  (Aïcha BenTaieb, Ghassan Hamarneh)....Pages 129-137
 A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation  (Zengqiang Yan, Xin Yang, Kwang-Ting Tim Cheng)....Pages 138-146
 Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction  (Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens et al.)....Pages 147-155
 Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning  (Bin Kong, Shanhui Sun, Xin Wang, Qi Song, Shaoting Zhang)....Pages 156-164
 Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images  (Michael Gadermayr, Vitus Appel, Barbara M. Klinkhammer, Peter Boor, Dorit Merhof)....Pages 165-173
 Graph CNN for Survival Analysis on Whole Slide Pathological Images  (Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang)....Pages 174-182
 Fully Automated Blind Color Deconvolution of Histopathological Images  (Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos)....Pages 183-191
 Improving Whole Slide Segmentation Through Visual Context - A Systematic Study  (Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher)....Pages 192-200
 Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images  (Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi)....Pages 201-209
 Rotation Equivariant CNNs for Digital Pathology  (Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling)....Pages 210-218
 A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology  (Alessia Atzeni, Marnix Jansen, Sébastien Ourselin, Juan Eugenio Iglesias)....Pages 219-227
 BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images  (Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolić, Takayuki Kitasaka, Masahiro Oda et al.)....Pages 228-236
 Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis  (Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia et al.)....Pages 237-244
 Integration of Spatial Distribution in Imaging-Genetics  (Vaishnavi Subramanian, Weizhao Tang, Benjamin Chidester, Jian Ma, Minh N. Do)....Pages 245-253
 Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology  (Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer)....Pages 254-262
Front Matter ....Pages 263-263
 Cell Detection with Star-Convex Polygons  (Uwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers)....Pages 265-273
 Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images  (Farhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. N. de With)....Pages 274-282
 Learning to Segment 3D Linear Structures Using Only 2D Annotations  (Mateusz Koziński, Agata Mosinska, Mathieu Salzmann, Pascal Fua)....Pages 283-291
 A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin  (Alican Bozkurt, Kivanc Kose, Christi Alessi-Fox, Melissa Gill, Jennifer Dy, Dana Brooks et al.)....Pages 292-299
 Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images  (Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira et al.)....Pages 300-308
 Synaptic Partner Prediction from Point Annotations in Insect Brains  (Julia Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas Turaga et al.)....Pages 309-316
 Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain  (Larissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, Stephan Saalfeld)....Pages 317-325
 Weakly Supervised Representation Learning for Endomicroscopy Image Analysis  (Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang)....Pages 326-334
 DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening  (Gyuhyun Lee, Jeong-Woo Oh, Mi-Sun Kang, Nam-Gu Her, Myoung-Hee Kim, Won-Ki Jeong)....Pages 335-343
Front Matter ....Pages 345-345
 A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super Resolution  (Liang Han, Zhaozheng Yin)....Pages 347-355
 Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT  (Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Baskaran Mani, Meenakshi Mahesh et al.)....Pages 356-363
 Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure Change  (Mathilde Ravier, Sungmin Hong, Charly Girot, Hiroshi Ishikawa, Jenna Tauber, Gadi Wollstein et al.)....Pages 364-371
 Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images  (Zexuan Ji, Qiang Chen, Menglin Wu, Sijie Niu, Wen Fan, Songtao Yuan et al.)....Pages 372-380
 Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images  (Yuchun Li, Sijie Niu, Zexuan Ji, Wen Fan, Songtao Yuan, Qiang Chen)....Pages 381-388
 CapsDeMM: Capsule Network for Detection of Munro’s Microabscess in Skin Biopsy Images  (Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati)....Pages 389-397
 Webly Supervised Learning for Skin Lesion Classification  (Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab)....Pages 398-406
 Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer  (Cheng Lu, Xiangxue Wang, Prateek Prasanna, German Corredor, Geoffrey Sedor, Kaustav Bera et al.)....Pages 407-416
Front Matter ....Pages 417-417
 Towards Accurate and Complete Registration of Coronary Arteries in CTA Images  (Shaowen Zeng, Jianjiang Feng, Yunqiang An, Bin Lu, Jiwen Lu, Jie Zhou)....Pages 419-427
 Quantifying Tensor Field Similarity with Global Distributions and Optimal Transport  (Arnold D. Gomez, Maureen L. Stone, Philip V. Bayly, Jerry L. Prince)....Pages 428-436
 Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling  (Wufeng Xue, Gary Brahm, Stephanie Leung, Ogla Shmuilovich, Shuo Li)....Pages 437-445
 Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy  (Eranga Ukwatta, Plamen Nikolov, Natalia Trayanova, Graham Wright)....Pages 446-454
 Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation  (Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa Angelini, Raad Mohiaddin et al.)....Pages 455-463
 Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling  (Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio De Marvao, Georgia Doumou et al.)....Pages 464-471
 Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences  (Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer et al.)....Pages 472-480
 Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI  (Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi)....Pages 481-489
 Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation  (Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle Williams, David Newby et al.)....Pages 490-498
 High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model  (Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horáček, Linwei Wang)....Pages 499-507
 Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential  (Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang)....Pages 508-516
 Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular Morphology  (Zhiwei Zhai, Marius Staring, Hideki Ota, Berend C. Stoel)....Pages 517-524
 MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning  (Chenchu Xu, Lei Xu, Gary Brahm, Heye Zhang, Shuo Li)....Pages 525-534
 More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring  (Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou)....Pages 535-543
 Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio  (Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric Xing)....Pages 544-552
 TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays  (Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel et al.)....Pages 553-561
 Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement  (Alexander Oliver Mader, Jens von Berg, Alexander Fabritz, Cristian Lorenz, Carsten Meyer)....Pages 562-570
 Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams  (Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach)....Pages 571-579
 Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network  (Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes)....Pages 580-588
 Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays  (Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang)....Pages 589-598
 Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation  (Yue Zhang, Shun Miao, Tommaso Mansi, Rui Liao)....Pages 599-607
Front Matter ....Pages 609-609
 Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning  (Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori et al.)....Pages 611-619
 RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection  (Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing)....Pages 620-628
 Interaction Techniques for Immersive CT Colonography: A Professional Assessment  (Daniel Simões Lopes, Daniel Medeiros, Soraia Figueiredo Paulo, Pedro Brasil Borges, Vitor Nunes, Vasco Mascarenhas et al.)....Pages 629-637
 Quasi-automatic Colon Segmentation on T2-MRI Images with Low User Effort  (B. Orellana, E. Monclús, P. Brunet, I. Navazo, Á. Bendezú, F. Azpiroz)....Pages 638-647
 Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer  (Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang et al.)....Pages 648-656
 Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN  (Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi)....Pages 657-665
 Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images  (Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro lwamoto et al.)....Pages 666-675
 Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data  (Atsushi Saito, Koyo Nakayama, Antonio R. Porras, Awais Mansoor, Elijah Biggs, Marius George Linguraru et al.)....Pages 676-683
 Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy  (Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing)....Pages 684-692
 Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector  (Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon)....Pages 693-701
 A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism  (Jiang Tian, Cong Li, Zhongchao Shi, Feiyu Xu)....Pages 702-710
 Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images  (Zhoubing Xu, Yuankai Huo, JinHyeong Park, Bennett Landman, Andy Milkowski, Sasa Grbic et al.)....Pages 711-719
Front Matter ....Pages 721-721
 Deep Active Self-paced Learning for Accurate Pulmonary Nodule Segmentation  (Wenzhe Wang, Yifei Lu, Bian Wu, Tingting Chen, Danny Z. Chen, Jian Wu)....Pages 723-731
 CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation  (Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura)....Pages 732-740
 Fast CapsNet for Lung Cancer Screening  (Aryan Mobiny, Hien Van Nguyen)....Pages 741-749
 Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction  (Raghavendra Selvan, Max Welling, Jesper H. Pedersen, Jens Petersen, Marleen de Bruijne)....Pages 750-758
 Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates  (Bin Wang, Guojun Qi, Sheng Tang, Liheng Zhang, Lixi Deng, Yongdong Zhang)....Pages 759-767
 Deep Learning from Label Proportions for Emphysema Quantification  (Gerda Bortsova, Florian Dubost, Silas Ørting, Ioannis Katramados, Laurens Hogeweg, Laura Thomsen et al.)....Pages 768-776
 Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation  (Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras et al.)....Pages 777-785
 From Local to Global: A Holistic Lung Graph Model  (Yashin Dicente Cid, Oscar Jiménez-del-Toro, Alexandra Platon, Henning Müller, Pierre-Alexandre Poletti)....Pages 786-793
 S4ND: Single-Shot Single-Scale Lung Nodule Detection  (Naji Khosravan, Ulas Bagci)....Pages 794-802
 Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response  (Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha Beig, Anant Madabhushi)....Pages 803-811
 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection  (Wentao Zhu, Yeeleng S. Vang, Yufang Huang, Xiaohui Xie)....Pages 812-820
 Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density Mask  (Gonzalo Vegas-Sánchez-Ferrero, Raúl San José Estépar)....Pages 821-829
Front Matter ....Pages 831-831
 Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification  (Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker et al.)....Pages 833-840
 A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer  (Byungjae Lee, Kyunghyun Paeng)....Pages 841-850
 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes  (Siqi Liu, Daguang Xu, S. Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier et al.)....Pages 851-858
 Deep Generative Breast Cancer Screening and Diagnosis  (Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Kisung Lee, Seung-Jong Park)....Pages 859-867
 Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis  (Jiali Liu, Wanyu Li, Ningbo Zhao, Kunlin Cao, Youbing Yin, Qi Song et al.)....Pages 868-875
 Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection  (Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang)....Pages 876-884
 Thermographic Computational Analyses of a 3D Model of a Scanned Breast  (Alisson Augusto Azevedo Figueiredo, Gabriela Lima Menegaz, Henrique Coelho Fernandes, Gilmar Guimaraes)....Pages 885-892
 Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images  (Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald Weaver, Joann G. Elmore, Linda Shapiro)....Pages 893-901
Front Matter ....Pages 903-903
 AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics  (Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor et al.)....Pages 905-912
 MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency  (Rosalind Aughwane, Magdalena Sokolska, Alan Bainbridge, David Atkinson, Giles Kendall, Jan Deprest et al.)....Pages 913-920
 Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation  (Huan Qi, Sally Collins, J. Alison Noble)....Pages 921-929
 A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI  (Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith et al.)....Pages 930-939
 Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network  (Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li)....Pages 940-948
 Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks  (Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski)....Pages 949-957
 Correction to: Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images  (José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant)....Pages E1-E1
Back Matter ....Pages 959-964