Abstract is missing.
- Contributors [doi]
- Copyright [doi]
- Front Matter [doi]
- About the Editors [doi]
- ForewordNicholas Ayache. [doi]
- An Introduction to Neural Networks and Deep LearningHeung-Il Suk. 3-24 [doi]
- An Introduction to Deep Convolutional Neural Nets for Computer VisionSuraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas S. S. Kruthiventi, R. Venkatesh Babu. 25-52 [doi]
- Efficient Medical Image ParsingFlorin C. Ghesu, Bogdan Georgescu, Joachim Hornegger. 55-81 [doi]
- Multi-Instance Multi-Stage Deep Learning for Medical Image RecognitionZhennan Yan, Yiqiang Zhan, Shaoting Zhang, Dimitris N. Metaxas, Xiang Sean Zhou. 83-104 [doi]
- Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural NetworksNima Tajbakhsh, Jae Y. Shin, R. Todd Hurst, Christopher B. Kendall, Jianming Liang. 105-131 [doi]
- Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical ImagesHao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao 0003, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng. 133-154 [doi]
- Deep Voting and Structured Regression for Microscopy Image AnalysisYuanpu Xie, Fuyong Xing, Lin Yang. 155-175 [doi]
- Deep Learning Tissue Segmentation in Cardiac Histopathology ImagesJeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi. 179-195 [doi]
- Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch MatchingYanrong Guo, Yaozong Gao, Dinggang Shen. 197-222 [doi]
- Characterization of Errors in Deep Learning-Based Brain MRI SegmentationAkshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen. 223-242 [doi]
- Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations LearningShaoyu Wang, Minjeong Kim, Guorong Wu 0001, Dinggang Shen. 245-269 [doi]
- Convolutional Neural Networks for Robust and Real-Time 2-D/3-D RegistrationShun Miao, Z. Jane Wang, Rui Liao. 271-296 [doi]
- Chest Radiograph Pathology Categorization via Transfer LearningIdit Diamant, Yaniv Bar, Ofer Geva, Lior Wolf, Gali Zimmerman, Sivan Lieberman, Eli Konen, Hayit Greenspan. 299-320 [doi]
- Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley. 321-339 [doi]
- Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's DiseaseVamsi K. Ithapu, Vikas Singh, Sterling C. Johnson. 341-378 [doi]
- Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image SynthesisRaviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou. 381-403 [doi]
- Natural Language Processing for Large-Scale Medical Image Analysis Using Deep LearningHoo-Chang Shin, Le Lu, Ronald M. Summers. 405-421 [doi]
- Index423-433 [doi]