Table of Contents

• Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain StatusMingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen. 3-11 [doi]
• Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD ConversionPin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu. 12-20 [doi]
• Kernel Generalized-Gaussian Mixture Model for Robust Abnormality DetectionNitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate. 21-29 [doi]
• Latent Processes Governing Neuroanatomical Change in Aging and DementiaChristian Wachinger, Anna Rieckmann, Martin Reuter 0001. 30-37 [doi]
• A Multi-armed Bandit to Smartly Select a Training Set from Big Medical DataBenjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger. 38-45 [doi]
• Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia DiseaseMingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang. 46-54 [doi]
• An Unbiased Penalty for Sparse Classification with Application to Neuroimaging DataLi Zhang, Dana Cobzas, Alan H. Wilman, Linglong Kong. 55-63 [doi]
• Unsupervised Feature Learning for Endomicroscopy Image RetrievalYun Gu, Khushi Vyas, Jie Yang 0002, Guang-Zhong Yang. 64-71 [doi]
• Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging DataXiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen. 72-80 [doi]
• DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRIYawen Huang, Ling Shao, Alejandro F. Frangi. 89-98 [doi]
• Supervised Intra-embedding of Fisher Vectors for Histopathology Image ClassificationYang Song, Hang Chang, Heng Huang, Weidong Cai. 99-106 [doi]
• GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease PredictionXinwei Sun 0001, Lingjing Hu, Yuan Yao, Yizhou Wang. 107-115 [doi]
• MRI-Based Surgical Planning for Lumbar Spinal StenosisGabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller, Johann Steurer, Joachim M. Buhmann. 116-124 [doi]
• Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of ParkinsonismRui Li, Ping Wu, Igor Yakushev, Jian Wang, Sibylle I. Ziegler, Stefan Förster, Sung-Cheng Huang, Markus Schwaiger, Nassir Navab, Chuantao Zuo, Kuangyu Shi. 125-133 [doi]
• Physiological Parameter Estimation from Multispectral Images UnleashedSebastian J. Wirkert, Anant S. Vemuri, Hannes Götz Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson, Lena Maier-Hein. 134-141 [doi]
• Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume ModelingMário João Fartaria, Alexis Roche, Reto Meuli, Cristina Granziera, Tobias Kober, Meritxell Bach Cuadra. 142-149 [doi]
• Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network EnsembleKonstantin Dmitriev, Arie E. Kaufman, Ammar A. Javed, Ralph H. Hruban, Elliot K. Fishman, Anne Marie Lennon, Joel H. Saltz. 150-158 [doi]
• Classification of Major Depressive Disorder via Multi-site Weighted LASSO ModelDajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson. 159-167 [doi]
• A Multi-atlas Approach to Region of Interest Detection for Medical Image ClassificationHongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood. 168-176 [doi]
• Spectral Graph Convolutions for Population-Based Disease PredictionSarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrerro Moreno, Ben Glocker, Daniel Rueckert. 177-185 [doi]
• Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain RepresentationAndrew Doyle, Doina Precup, Douglas L. Arnold, Tal Arbel. 186-194 [doi]
• Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's DiseasePeng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane. 195-202 [doi]
• Personalized Diagnosis for Alzheimer's DiseaseYingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer, Guorong Wu. 205-213 [doi]
• Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT ScansYuyin Zhou, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille. 222-230 [doi]
• Error Corrective Boosting for Learning Fully Convolutional Networks with Limited DataAbhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger. 231-239 [doi]
• Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning AlgorithmChenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo N. Ghista, Shuo Li. 240-249 [doi]
• Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical ImagesZongYuan Ge, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi. 250-258 [doi]
• Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast UltrasoundCheng Bian, Ran Lee, Yi-Hong Chou, Jie-Zhi Cheng. 259-266 [doi]
• Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy DetectionZhe Wang, Yanxin Yin, Jianping Shi, Wei Fang, Hongsheng Li, Xiaogang Wang. 267-275 [doi]
• Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task RelatednessWufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, Shuo Li. 276-284 [doi]
• Scalable Multimodal Convolutional Networks for Brain Tumour SegmentationLucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren. 285-293 [doi]
• Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape NetworksStefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman. 294-301 [doi]
• Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View PlanesAmir H. Abdi, Christina Luong, Teresa Tsang, John Jue, Ken Gin, Darwin Yeung, Dale Hawley, Robert Rohling, Purang Abolmaesumi. 302-310 [doi]
• Semi-supervised Deep Learning for Fully Convolutional NetworksChristoph Baur, Shadi Albarqouni, Nassir Navab. 311-319 [doi]
• TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic ReferencesZizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang. 320-328 [doi]
• BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse ConvolutionsMattias P. Heinrich, Ozan Oktay. 329-337 [doi]
• Supervised Action Classifier: Approaching Landmark Detection as Image PartitioningZhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou. 338-346 [doi]
• Robust Multi-modal MR Image SynthesisThomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris. 347-355 [doi]
• Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout NetworksGerda Bortsova, Gijs van Tulder, Florian Dubost, Tingying Peng, Nassir Navab, Aad van der Lugt, Daniel Bos, Marleen de Bruijne. 356-364 [doi]
• Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural NetworksEmran Mohammad Abu Anas, Saman Nouranian, Seyedeh Sara Mahdavi, Ingrid Spadinger, William J. Morris, Septimiu E. Salcudean, Parvin Mousavi, Purang Abolmaesumi. 365-373 [doi]
• Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to ElectrooculographyPrabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo. 374-381 [doi]
• Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image AnalysisDwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi. 382-390 [doi]
• Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance ImagingDavood Karimi, Dan Ruan. 391-398 [doi]
• Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image SegmentationLin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen. 399-407 [doi]
• Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated ImagesYizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen. 408-416 [doi]
• Medical Image Synthesis with Context-Aware Generative Adversarial NetworksDong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang 0001, Dinggang Shen. 417-425 [doi]
• Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural NetworksXin Yang, Zhiwei Wang, Chaoyue Liu, Hung Le Minh, Jingyu Chen, Kwang-Ting (Tim) Cheng, Liang Wang. 426-434 [doi]
• SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic ImagingRahul Duggal, Anubha Gupta, Ritu Gupta, Pramit Mallick. 435-443 [doi]
• X-Ray In-Depth Decomposition: Revealing the Latent StructuresShadi Albarqouni, Javad Fotouhi, Nassir Navab. 444-452 [doi]
• Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural NetworkHua Ma, Pierre Ambrosini, Theo van Walsum. 453-461 [doi]
• Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine LearningDhritiman Das, Eduardo Coello, Rolf F. Schulte, Bjoern H. Menze. 462-470 [doi]
• Building Disease Detection Algorithms with Very Small Numbers of Positive SamplesKen C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi. 471-479 [doi]
• Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple SclerosisYoungjin Yoo, Lisa Y. W. Tang, Su-Hyun Kim, Ho-Jin Kim, Lisa Eunyoung Lee, David K. B. Li, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam. 480-488 [doi]
• Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and ClassificationAtilla P. Kiraly, Clement Abi Nader, Ahmet Tuysuzoglu, Robert Grimm, Berthold Kiefer, Noha El-Zehiry, Ali Kamen. 489-497 [doi]
• Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT VolumesDong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Zhoubing Xu, Mingqing Chen, Jin Hyeong Park, Sasa Grbic, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu. 498-506 [doi]
• Automatic Liver Segmentation Using an Adversarial Image-to-Image NetworkDong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu. 507-515 [doi]
• Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion SegmentationMohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III. 516-524 [doi]
• Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNNLing Dai, Bin Sheng, Qiang Wu, Huating Li, Xuhong Hou, Weiping Jia, Ruogu Fang. 525-532 [doi]
• Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural NetworksYehui Yang, Tao Li, Wensi Li, Haishan Wu, Wei Fan, Wensheng Zhang. 533-540 [doi]
• Hashing with Residual Networks for Image RetrievalSailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab. 541-549 [doi]
• Deep Multiple Instance Hashing for Scalable Medical Image RetrievalSailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab. 550-558 [doi]
• Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural NetworksJia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang. 559-567 [doi]
• Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary NodulesXinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini. 568-576 [doi]
• Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse AutoencoderYixuan Yuan, Max Q.-H. Meng, Wenjian Qin, Lei Xing. 577-585 [doi]
• Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep LearningGuy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Y. Hashoul. 594-602 [doi]
• Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram ClassificationWentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie. 603-611 [doi]
• Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNsMohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh. 612-620 [doi]
• Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT ImagesAdam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura. 621-629 [doi]
• Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual LearningQi Dou, Hao Chen 0011, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng. 630-638 [doi]
• CASED: Curriculum Adaptive Sampling for Extreme Data ImbalanceAndrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados. 639-646 [doi]
• Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CTMehdi Alilou, Mahdi Orooji, Anant Madabhushi. 647-655 [doi]
• Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CTYutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai. 656-664 [doi]
• Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRIGabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid 0001. 665-673 [doi]
• Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural NetworksJinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang. 674-682 [doi]
• Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over PermutationsGregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh. 683-691 [doi]
• Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?Yinghuan Shi, Wanqi Yang, Yang Gao 0001, Dinggang Shen. 692-700 [doi]