Table of Contents

• Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass NetworksChristian Payer, Darko Stern, Thomas Neff, Horst Bischof, Martin Urschler. 3-11 [doi]
• Skin Lesion Classification in Dermoscopy Images Using Synergic Deep LearningJianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia. 12-20 [doi]
• SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling NetworksMd. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig. 21-29 [doi]
• \beta -Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural NetworksMattia Savardi, Sergio Benini, Alberto Signoroni. 30-38 [doi]
• A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea DetectionMaria Inês Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho. 39-47 [doi]
• Deep Random Walk for Drusen Segmentation from Fundus ImagesFang Yan, Jia Cui, Yu Wang, Hong Liu, Hui Liu 0007, Benzheng Wei, Yilong Yin, Yuanjie Zheng. 48-55 [doi]
• Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology EstimationYitian Zhao, Jianyang Xie, Pan Su, Yalin Zheng, Yonghuai Liu, Jun Cheng, Jiang Liu. 56-64 [doi]
• Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus ImagesJosé Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant. 65-73 [doi]
• A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based FusionZhiwen Lin, Ruoqian Guo, Yanjie Wang, Bian Wu, Tingting Chen, Wenzhe Wang, Danny Z. Chen, Jian Wu. 74-82 [doi]
• Deep Supervision with Additional Labels for Retinal Vessel Segmentation TaskYishuo Zhang, Albert C. S. Chung. 83-91 [doi]
• A Multi-task Network to Detect Junctions in Retinal VasculatureFatmatülzehra Uslu, Anil Anthony Bharath. 92-100 [doi]
• A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus ImagesClément Playout, Renaud Duval, Farida Cheriet. 101-108 [doi]
• Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal DiseasesYitian Zhao, Yalin Zheng, Yifan Zhao, Yonghuai Liu, Zhili Chen, Peng Liu, Jiang Liu. 109-118 [doi]
• Multiscale Network Followed Network Model for Retinal Vessel SegmentationYicheng Wu, Yong Xia, Yang Song 0001, Yanning Zhang, Weidong Cai. 119-126 [doi]
• Predicting Cancer with a Recurrent Visual Attention Model for Histopathology ImagesAïcha BenTaieb, Ghassan Hamarneh. 129-137 [doi]
• A Deep Model with Shape-Preserving Loss for Gland Instance SegmentationZengqiang Yan, Xin Yang 0008, Kwang-Ting (Tim) Cheng. 138-146 [doi]
• Model-Based Refinement of Nonlinear Registrations in 3D Histology ReconstructionJuan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren. 147-155 [doi]
• Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer LearningBin Kong, Shanhui Sun, Xin Wang, Qi Song, Shaoting Zhang. 156-164 [doi]
• Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological ImagesMichael Gadermayr, Vitus Appel, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof. 165-173 [doi]
• Graph CNN for Survival Analysis on Whole Slide Pathological ImagesRuoyu Li, Jiawen Yao, Xinliang Zhu, Yeqing Li, JunZhou Huang. 174-182 [doi]
• Fully Automated Blind Color Deconvolution of Histopathological ImagesNatalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos. 183-191 [doi]
• Improving Whole Slide Segmentation Through Visual Context - A Systematic StudyKorsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher. 192-200 [doi]
• Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide ImagesJian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi. 201-209 [doi]
• Rotation Equivariant CNNs for Digital PathologyBastiaan S. Veeling, Jasper Linmans, Jim Winkens, Taco Cohen, Max Welling. 210-218 [doi]
• A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of HistologyAlessia Atzeni, Marnix Jansen, Sébastien Ourselin, Juan Eugenio Iglesias. 219-227 [doi]
• BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological ImagesHirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori. 228-236 [doi]
• Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image AnalysisDonghao Zhang, Yang Song 0001, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai. 237-244 [doi]
• Integration of Spatial Distribution in Imaging-GeneticsVaishnavi Subramanian, Weizhao Tang, Benjamin Chidester, Jian Ma 0004, Minh N. Do. 245-253 [doi]
• Multiple Instance Learning for Heterogeneous Images: Training a CNN for HistopathologyHeather D. Couture, J. S. Marron, Charles M. Perou, Melissa A. Troester, Marc Niethammer. 254-262 [doi]
• Cell Detection with Star-Convex PolygonsUwe Schmidt, Martin Weigert, Coleman Broaddus, Gene Myers. 265-273 [doi]
• Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological ImagesFarhad Ghazvinian Zanjani, Svitlana Zinger, Peter H. N. de With. 274-282 [doi]
• Learning to Segment 3D Linear Structures Using Only 2D AnnotationsMateusz Kozinski, Agata Mosinska, Mathieu Salzmann, Pascal Fua. 283-291 [doi]
• A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of SkinAlican Bozkurt, Kivanç Köse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha. 292-299 [doi]
• Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma ImagesMohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang. 300-308 [doi]
• Synaptic Partner Prediction from Point Annotations in Insect BrainsJulia M. Buhmann, Renate Krause, Rodrigo Ceballos Lentini, Nils Eckstein, Matthew Cook 0001, Srinivas C. Turaga, Jan Funke. 309-316 [doi]
• Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila BrainLarissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, Stephan Saalfeld. 317-325 [doi]
• Weakly Supervised Representation Learning for Endomicroscopy Image AnalysisYun Gu, Khushi Vyas, Jie Yang 0002, Guang-Zhong Yang. 326-334 [doi]
• DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content ScreeningGyuhyun Lee, Jeong-Woo Oh, Mi-Sun Kang, Nam-Gu Her, Myoung-Hee Kim, Won-Ki Jeong. 335-343 [doi]
• A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super ResolutionLiang Han, Zhaozheng Yin. 347-355 [doi]
• Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCTHuazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung, Jiang Liu. 356-363 [doi]
• Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure ChangeMathilde Ravier, Sungmin Hong, Charly Girot, Hiroshi Ishikawa 0005, Jenna Tauber, Gadi Wollstein, Joel Schuman, James Fishbaugh, Guido Gerig. 364-371 [doi]
• Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT ImagesZexuan Ji, Qiang Chen 0004, Menglin Wu, Sijie Niu, Wen Fan, Songtao Yuan, Quan-Sen Sun. 372-380 [doi]
• Automated Choroidal Neovascularization Detection for Time Series SD-OCT ImagesYuchun Li, Sijie Niu, Zexuan Ji, Wen Fan, Songtao Yuan, Qiang Chen. 381-388 [doi]
• CapsDeMM: Capsule Network for Detection of Munro's Microabscess in Skin Biopsy ImagesAnabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati. 389-397 [doi]
• Webly Supervised Learning for Skin Lesion ClassificationFernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab. 398-406 [doi]
• Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung CancerCheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi. 407-416 [doi]
• Towards Accurate and Complete Registration of Coronary Arteries in CTA ImagesShaowen Zeng, Jianjiang Feng, Yunqiang An, Bin Lu, Jiwen Lu, Jie Zhou. 419-427 [doi]
• Quantifying Tensor Field Similarity with Global Distributions and Optimal TransportArnold D. Gomez, Maureen L. Stone, Philip V. Bayly, Jerry L. Prince. 428-436 [doi]
• Cardiac Motion Scoring with Segment- and Subject-Level Non-local ModelingWufeng Xue, Gary Brahm, Stephanie Leung, Olga Shmuilovich, Shuo Li 0001. 437-445 [doi]
• Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD TherapyEranga Ukwatta, Plamen Nikolov, Natalia A. Trayanova, Graham Wright. 446-454 [doi]
• Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars SegmentationJun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin. 455-463 [doi]
• Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac RemodelingCarlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert. 464-471 [doi]
• Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image SequencesChen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert. 472-480 [doi]
• Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRILe Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi. 481-489 [doi]
• Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial SegmentationAgisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris. 490-498 [doi]
• High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative ModelJwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang. 499-507 [doi]
• Generative Modeling and Inverse Imaging of Cardiac Transmembrane PotentialSandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang. 508-516 [doi]
• Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular MorphologyZhiwei Zhai, Marius Staring, Hideki Ota, Berend C. Stoel. 517-524 [doi]
• MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial LearningChenchu Xu, Lei Xu, Gary Brahm, Heye Zhang, Shuo Li 0001. 525-534 [doi]
• More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography ContouringHaofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Shaohua Kevin Zhou. 535-543 [doi]
• Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic RatioNanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai 0003, Eric P. Xing. 544-552 [doi]
• TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-RaysJonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave. 553-561 [doi]
• Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local RefinementAlexander Oliver Mader, Jens von Berg, Alexander Fabritz, Cristian Lorenz, Carsten Meyer. 562-570 [doi]
• Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray ExamsJulien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach. 571-579 [doi]
• Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial NetworkDwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes 0001. 580-588 [doi]
• Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-RaysJinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang. 589-598 [doi]
• Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image SegmentationYue Zhang, Shun Miao, Tommaso Mansi, Rui Liao. 599-607 [doi]
• Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth LearningHayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori. 611-619 [doi]
• RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp DetectionYixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing. 620-628 [doi]
• Interaction Techniques for Immersive CT Colonography: A Professional AssessmentDaniel Simões Lopes, Daniel Medeiros, Soraia Figueiredo Paulo, Pedro Brasil Borges, Vitor Nunes, Vasco Mascarenhas, Marcos Veiga, Joaquim Armando Pires Jorge. 629-637 [doi]
• Quasi-automatic Colon Segmentation on T2-MRI Images with Low User EffortB. Orellana, Eva Monclús, Pere Brunet, Isabel Navazo, Álvaro Bendezú, Fernando Azpiroz. 638-647 [doi]
• Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal CancerWei Shao 0005, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang. 648-656 [doi]
• Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNNMohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi. 657-665 [doi]
• Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT ImagesDong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro lwamoto, Xianhua Han, Yen-Wei Chen. 666-675 [doi]
• Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional DataAtsushi Saito, Koyo Nakayama, Antonio R. Porras, Awais Mansoor, Elijah Biggs, Marius George Linguraru, Akinobu Shimizu. 676-683 [doi]
• Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation TherapyBulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing. 684-692 [doi]
• Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorSang Gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon. 693-701 [doi]
• A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention MechanismJiang Tian, Cong Li, Zhongchao Shi, Feiyu Xu. 702-710 [doi]
• Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound ImagesZhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou. 711-719 [doi]
• Deep Active Self-paced Learning for Accurate Pulmonary Nodule SegmentationWenzhe Wang, Yifei Lu, Bian Wu, Tingting Chen, Danny Z. Chen, Jian Wu. 723-731 [doi]
• CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung SegmentationDakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura. 732-740 [doi]
• Fast CapsNet for Lung Cancer ScreeningAryan Mobiny, Hien Van Nguyen. 741-749 [doi]
• Mean Field Network Based Graph Refinement with Application to Airway Tree ExtractionRaghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne. 750-758 [doi]
• Automated Pulmonary Nodule Detection: High Sensitivity with Few CandidatesBin Wang, Guojun Qi, Sheng Tang, Liheng Zhang, Lixi Deng, Yongdong Zhang. 759-767 [doi]
• Deep Learning from Label Proportions for Emphysema QuantificationGerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne. 768-776 [doi]
• Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer SegmentationJue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan. 777-785 [doi]
• From Local to Global: A Holistic Lung Graph ModelYashin Dicente Cid, Oscar Alfonso Jiménez del Toro, Alexandra Platon, Henning Müller, Pierre-Alexandre Poletti. 786-793 [doi]
• S4ND: Single-Shot Single-Scale Lung Nodule DetectionNaji Khosravan, Ulas Bagci. 794-802 [doi]
• Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment ResponseNathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha Beig, Anant Madabhushi. 803-811 [doi]
• DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule DetectionWentao Zhu, Yeeleng Scott Vang, Yufang Huang, Xiaohui Xie. 812-820 [doi]
• Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density MaskGonzalo Vegas-Sánchez-Ferrero, Raúl San José Estépar. 821-829 [doi]
• Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape ClassificationVivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents-Barrena, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig. 833-840 [doi]
• A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast CancerByungjae Lee, Kyunghyun Paeng. 841-850 [doi]
• 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic VolumesSiqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu. 851-858 [doi]
• Deep Generative Breast Cancer Screening and DiagnosisShayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Seung-Jong Park. 859-867 [doi]
• Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer DiagnosisJiali Liu, Wanyu Li, Ningbo Zhao, Kunlin Cao, Youbing Yin, Qi Song, Hanbo Chen, Xuehao Gong. 868-875 [doi]
• Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early DetectionHao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang. 876-884 [doi]
• Thermographic Computational Analyses of a 3D Model of a Scanned BreastAlisson Augusto Azevedo Figueiredo, Gabriela Lima Menegaz, Henrique Coelho Fernandes, Gilmar Guimaraes. 885-892 [doi]
• Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy ImagesSachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro. 893-901 [doi]
• AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound DiagnosticsRyutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich. 905-912 [doi]
• MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental InsufficiencyRosalind Aughwane, Magdalena Sokolska, Alan Bainbridge, David Atkinson, Giles S. Kendall, Jan Deprest, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne. 913-920 [doi]
• Automatic Lacunae Localization in Placental Ultrasound Images via Layer AggregationHuan Qi, Sally L. Collins, J. Alison Noble. 921-929 [doi]
• A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRINathan 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. 930-939 [doi]
• Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression NetworkShumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li 0001. 940-948 [doi]
• Estimating Achilles Tendon Healing Progress with Convolutional Neural NetworksNorbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski. 949-957 [doi]