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21st MICCAI 2018: Granada, Spain

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  • Optical and Histology Applications: Optical Imaging Applications
  • Optical and Histology Applications: Histology Applications
  • Optical and Histology Applications: Microscopy Applications
  • Optical and Histology Applications: Optical Coherence Tomography and Other Optical Imaging Applications
  • Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications
  • Cardiac, Chest and Abdominal Applications: Colorectal, Kidney and Liver Imaging Applications
  • Cardiac, Chest and Abdominal Applications: Lung Imaging Applications
  • Cardiac, Chest and Abdominal Applications: Breast Imaging Applications
  • Cardiac, Chest and Abdominal Applications: Other Abdominal Applications

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    Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11071, Springer 2018, ISBN 978-3-030-00933-5

Optical and Histology Applications: Optical Imaging Applications

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    Christian Payer, Darko Stern, Thomas Neff, Horst Bischof, Martin Urschler:
    Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks. 3-11
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    Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia:
    Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. 12-20
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    Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
    SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. 21-29
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    Mattia Savardi, Sergio Benini, Alberto Signoroni:
    \beta -Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks. 30-38
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    Maria Inês Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho:
    A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection. 39-47
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    Fang Yan, Jia Cui, Yu Wang, Hong Liu, Hui Liu, Benzheng Wei, Yilong Yin, Yuanjie Zheng:
    Deep Random Walk for Drusen Segmentation from Fundus Images. 48-55
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    Yitian Zhao, Jianyang Xie, Pan Su, Yalin Zheng, Yonghuai Liu, Jun Cheng, Jiang Liu:
    Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation. 56-64
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    José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant:
    Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images. 65-73
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    Zhiwen Lin, Ruoqian Guo, Yanjie Wang, Bian Wu, Tingting Chen, Wenzhe Wang, Danny Z. Chen, Jian Wu:
    A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion. 74-82
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    Yishuo Zhang, Albert C. S. Chung:
    Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task. 83-91
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    Fatmatülzehra Uslu, Anil Anthony Bharath:
    A Multi-task Network to Detect Junctions in Retinal Vasculature. 92-100
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    Clément Playout, Renaud Duval, Farida Cheriet:
    A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus Images. 101-108
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    Yitian Zhao, Yalin Zheng, Yifan Zhao, Yonghuai Liu, Zhili Chen, Peng Liu, Jiang Liu:
    Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases. 109-118
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    Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai:
    Multiscale Network Followed Network Model for Retinal Vessel Segmentation. 119-126

Optical and Histology Applications: Histology Applications

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    Aïcha BenTaieb, Ghassan Hamarneh:
    Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. 129-137
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    Zengqiang Yan, Xin Yang, Kwang-Ting (Tim) Cheng:
    A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation. 138-146
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    Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren:
    Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. 147-155
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    Bin Kong, Shanhui Sun, Xin Wang, Qi Song, Shaoting Zhang:
    Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning. 156-164
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    Michael Gadermayr, Vitus Appel, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
    Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. 165-173
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    Ruoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, Junzhou Huang:
    Graph CNN for Survival Analysis on Whole Slide Pathological Images. 174-182
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    Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
    Fully Automated Blind Color Deconvolution of Histopathological Images. 183-191
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    Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
    Improving Whole Slide Segmentation Through Visual Context - A Systematic Study. 192-200
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    Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi:
    Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images. 201-209
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    Bastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling:
    Rotation Equivariant CNNs for Digital Pathology. 210-218
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    Alessia Atzeni, Marnix Jansen, Sébastien Ourselin, Juan Eugenio Iglesias:
    A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology. 219-227
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    Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori:
    BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images. 228-236
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    Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai:
    Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. 237-244
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    Vaishnavi Subramanian, Weizhao Tang, Benjamin Chidester, Jian Ma, Minh N. Do:
    Integration of Spatial Distribution in Imaging-Genetics. 245-253
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    Heather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer:
    Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology. 254-262

Optical and Histology Applications: Microscopy Applications

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    Uwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers:
    Cell Detection with Star-Convex Polygons. 265-273
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    Farhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. N. de With:
    Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images. 274-282
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    Mateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua:
    Learning to Segment 3D Linear Structures Using Only 2D Annotations. 283-291
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    Alican Bozkurt, Kivanç Köse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
    A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. 292-299
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    Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang:
    Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images. 300-308
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    Julia M. Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook, Srinivas C. Turaga, Jan Funke:
    Synaptic Partner Prediction from Point Annotations in Insect Brains. 309-316
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    Larissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, Stephan Saalfeld:
    Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain. 317-325
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    Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang:
    Weakly Supervised Representation Learning for Endomicroscopy Image Analysis. 326-334
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    Gyuhyun Lee, Jeong-Woo Oh, Mi-Sun Kang, Nam-Gu Her, Myoung-Hee Kim, Won-Ki Jeong:
    DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening. 335-343

Optical and Histology Applications: Optical Coherence Tomography and Other Optical Imaging Applications

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    Liang Han, Zhaozheng Yin:
    A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super Resolution. 347-355
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    Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu:
    Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. 356-363
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    Mathilde Ravier, Sungmin Hong, Charly Girot, Hiroshi Ishikawa, Jenna Tauber, Gadi Wollstein, Joel S. Schuman, James Fishbaugh, Guido Gerig:
    Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure Change. 364-371
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    Zexuan Ji, Qiang Chen, Menglin Wu, Sijie Niu, Wen Fan, Songtao Yuan, Quan-Sen Sun:
    Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images. 372-380
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    Yuchun Li, Sijie Niu, Zexuan Ji, Wen Fan, Songtao Yuan, Qiang Chen:
    Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images. 381-388
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    Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati:
    CapsDeMM: Capsule Network for Detection of Munro's Microabscess in Skin Biopsy Images. 389-397
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    Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
    Webly Supervised Learning for Skin Lesion Classification. 398-406
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    Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi:
    Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. 407-416

Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications

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    Shaowen Zeng, Jianjiang Feng, Yunqiang An, Bin Lu, Jiwen Lu, Jie Zhou:
    Towards Accurate and Complete Registration of Coronary Arteries in CTA Images. 419-427
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    Arnold D. Gomez, Maureen L. Stone, Philip V. Bayly, Jerry L. Prince:
    Quantifying Tensor Field Similarity with Global Distributions and Optimal Transport. 428-436
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    Wufeng Xue, Gary Brahm, Stephanie Leung, Olga Shmuilovich, Shuo Li:
    Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling. 437-445
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    Eranga Ukwatta, Plamen Nikolov, Natalia A. Trayanova, Graham A. Wright:
    Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy. 446-454
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    Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin:
    Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation. 455-463
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    Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
    Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. 464-471
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    Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert:
    Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. 472-480
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    Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
    Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI. 481-489
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    Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
    Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. 490-498
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    Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang:
    High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. 499-507
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    Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang:
    Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. 508-516
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    Zhiwei Zhai, Marius Staring, Hideki Ota, Berend C. Stoel:
    Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular Morphology. 517-524
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    Chenchu Xu, Lei Xu, Gary Brahm, Heye Zhang, Shuo Li:
    MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning. 525-534
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    Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou:
    More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring. 535-543
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    Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
    Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. 544-552
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    Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave:
    TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays. 553-561
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    Alexander Oliver Mader, Jens von Berg, Alexander Fabritz, Cristian Lorenz, Carsten Meyer:
    Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement. 562-570
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    Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach:
    Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. 571-579
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    Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
    Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. 580-588
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    Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang:
    Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. 589-598
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    Yue Zhang, Shun Miao, Tommaso Mansi, Rui Liao:
    Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation. 599-607

Cardiac, Chest and Abdominal Applications: Colorectal, Kidney and Liver Imaging Applications

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    Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori:
    Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning. 611-619
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    Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing:
    RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. 620-628
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    Daniel Simões Lopes, Daniel Medeiros, Soraia Figueiredo Paulo, Pedro Brasil Borges, Vitor Nunes, Vasco V. Mascarenhas, Marcos Veiga, Joaquim Armando Pires Jorge:
    Interaction Techniques for Immersive CT Colonography: A Professional Assessment. 629-637
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    Bernat Orellana, Eva Monclús, Pere Brunet, Isabel Navazo, Álvaro Bendezú, Fernando Azpiroz:
    Quasi-automatic Colon Segmentation on T2-MRI Images with Low User Effort. 638-647
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    Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang:
    Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. 648-656
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    Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
    Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN. 657-665
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    Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
    Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images. 666-675
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    Atsushi Saito, Koyo Nakayama, Antonio R. Porras, Awais Mansoor, Elijah Biggs, Marius George Linguraru, Akinobu Shimizu:
    Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data. 676-683
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    Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing:
    Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. 684-692
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    Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon:
    Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. 693-701
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    Jiang Tian, Cong Li, Zhongchao Shi, Feiyu Xu:
    A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism. 702-710
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    Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
    Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. 711-719

Cardiac, Chest and Abdominal Applications: Lung Imaging Applications

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    Wenzhe Wang, Yifei Lu, Bian Wu, Tingting Chen, Danny Z. Chen, Jian Wu:
    Deep Active Self-paced Learning for Accurate Pulmonary Nodule Segmentation. 723-731
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    Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura:
    CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. 732-740
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    Aryan Mobiny, Hien Van Nguyen:
    Fast CapsNet for Lung Cancer Screening. 741-749
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    Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne:
    Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. 750-758
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    Bin Wang, Guojun Qi, Sheng Tang, Liheng Zhang, Lixi Deng, Yongdong Zhang:
    Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates. 759-767
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    Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
    Deep Learning from Label Proportions for Emphysema Quantification. 768-776
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    Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan:
    Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. 777-785
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    Yashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Alexandra Platon, Henning Müller, Pierre-Alexandre Poletti:
    From Local to Global: A Holistic Lung Graph Model. 786-793
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    Naji Khosravan, Ulas Bagci:
    S4ND: Single-Shot Single-Scale Lung Nodule Detection. 794-802
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    Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha G. Beig, Anant Madabhushi:
    Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response. 803-811
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    Wentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie:
    DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection. 812-820
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    Gonzalo Vegas-Sánchez-Ferrero, Raúl San José Estépar:
    Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density Mask. 821-829

Cardiac, Chest and Abdominal Applications: Breast Imaging Applications

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    Vivek Kumar Singh, Santiago Romaní, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents-Barrena, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig:
    Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. 833-840
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    Byungjae Lee, Kyunghyun Paeng:
    A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer. 841-850
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    Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu:
    3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. 851-858
• 
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    Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Seung-Jong Park:
    Deep Generative Breast Cancer Screening and Diagnosis. 859-867
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  • 
    Jiali Liu, Wanyu Li, Ningbo Zhao, Kunlin Cao, Youbing Yin, Qi Song, Hanbo Chen, Xuehao Gong:
    Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis. 868-875
• 
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  • 
    Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang:
    Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. 876-884
• 
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    Alisson Augusto Azevedo Figueiredo, Gabriela Lima Menegaz, Henrique Coelho Fernandes, Gilmar Guimaraes:
    Thermographic Computational Analyses of a 3D Model of a Scanned Breast. 885-892
• 
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    Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
    Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. 893-901

Cardiac, Chest and Abdominal Applications: Other Abdominal Applications

• 
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    Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich:
    AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. 905-912
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    Rosalind Aughwane, Magdalena J. Sokolska, Alan Bainbridge, David Atkinson, Giles S. Kendall, Jan Deprest, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne:
    MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency. 913-920
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  • 
    Huan Qi, Sally L. Collins, J. Alison Noble:
    Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation. 921-929
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  • 
    Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers:
    A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. 930-939
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    Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li:
    Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. 940-948
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  • 
    Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski:
    Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks. 949-957

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