Abstract is missing.
- Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial NetworksHoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski. 1-11 [doi]
- Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRISaba Momeni, Amir Fazlollahi, Pierrick Bourgeat, Parnesh Raniga, Paul A. Yates, Nawaf Yassi, Patricia M. Desmond, Jurgen Fripp, Yongsheng Gao, Olivier Salvado. 12-19 [doi]
- Deep Harmonization of Inconsistent MR Data for Consistent Volume SegmentationBlake E. Dewey, Can Zhao, Aaron Carass, Jiwon Oh, Peter A. Calabresi, Peter C. M. van Zijl, Jerry L. Prince. 20-30 [doi]
- Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN - Effects of Gradient Consistency Loss and Training Data SizeYuta Hiasa, Yoshito Otake, Masaki Takao, Takumi Matsuoka, Kazuma Takashima, Aaron Carass, Jerry L. Prince, Nobuhiko Sugano, Yoshinobu Sato. 31-41 [doi]
- A Machine Learning Approach to Diffusion MRI Partial Volume EstimationEmmanuel Vallee, WenChuan Wu, Francesca Galassi, Saâd Jbabdi, Stephen M. Smith. 42-51 [doi]
- Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency NetworksChengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom MacGillivray, David E. Newby. 52-60 [doi]
- Deep Boosted Regression for MR to CT SynthesisKerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin. 61-70 [doi]
- Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with FilopodiaIgor Peterlík, David Svoboda, Vladimír Ulman, Dmitry V. Sorokin, Martin Maska. 71-79 [doi]
- MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer's ClassificationApoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula. 80-89 [doi]
- Tubular Network Formation Process Using 3D Cellular Potts ModelDavid Svoboda, Tereza Necasová, Lenka Tesarová, Pavel Simara. 90-99 [doi]
- Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT ImagesSunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang. 100-110 [doi]
- Lung Nodule Synthesis Using CNN-Based Latent Data RepresentationDário Augusto Borges Oliveira, Matheus Palhares Viana. 111-118 [doi]
- RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of TumoursRaghav Mehta, Tal Arbel. 119-129 [doi]
- Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning ModelsNathan Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso. 130-138 [doi]