| 3 | -- | 10 | James S. Duncan, Michael F. Insana, Nicholas Ayache. Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning |
| 11 | -- | 29 | Ruud J. G. van Sloun, Regev Cohen, Yonina C. Eldar. Deep Learning in Ultrasound Imaging |
| 30 | -- | 50 | Kevin de Haan, Yair Rivenson, Yichen Wu, Aydogan Ozcan. Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy |
| 51 | -- | 68 | Kuang Gong, Eric Berg, Simon R. Cherry, Jinyi Qi. Machine Learning in PET: From Photon Detection to Quantitative Image Reconstruction |
| 69 | -- | 85 | Jesse I. Hamilton, Nicole Seiberlich. Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification |
| 86 | -- | 109 | Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler. Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning |
| 110 | -- | 124 | Daniel Rueckert, Julia A. Schnabel. Model-Based and Data-Driven Strategies in Medical Image Computing |
| 125 | -- | 162 | Li Shen 0001, Paul M. Thompson. Brain Imaging Genomics: Integrated Analysis and Machine Learning |
| 163 | -- | 177 | Heather M. Whitney, Hui Li 0024, Yu Ji, Peifang Liu, Maryellen L. Giger. Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Method |
| 178 | -- | 197 | Xiao Jia 0005, Xiaohan Xing, Yixuan Yuan, Lei Xing, Max Q.-H. Meng. Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition |
| 198 | -- | 214 | Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab. CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions |
| 215 | -- | 227 | Adam Allerhand. The Earliest Years of Three-Phase Power - 1891-1893 |