Simulation and Synthesis in Medical Imaging 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Image Processing, Computer Vision, Pattern Recognition, and Graphics

This book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation. Front Matter ....Pages i-x Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis (Dzung L. Pham, Yi-Yu Chou, Blake E. Dewey, Daniel S. Reich, John A. Butman, Snehashis Roy)....Pages 1-10 3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps (Filip Rusak, Rodrigo Santa Cruz, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Andrew Bradley et al.)....Pages 11-20 Synthesizing Realistic Brain MR Images with Noise Control (Lianrui Zuo, Blake E. Dewey, Aaron Carass, Yufan He, Muhan Shao, Jacob C. Reinhold et al.)....Pages 21-31 Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth (Pamela R. Jackson, Andrea Hawkins-Daarud, Kristin R. Swanson)....Pages 32-40 Blind MRI Brain Lesion Inpainting Using Deep Learning (José V. Manjón, José E. Romero, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya et al.)....Pages 41-49 High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations (Hongyu Wang, Jun Feng, Xiaoying Pan, Di Yang, Baoying Chen)....Pages 50-59 A Method for Tumor Treating Fields Fast Estimation (Reuben R. Shamir, Zeev Bomzon)....Pages 60-67 Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms (Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Marcel Breeuwer)....Pages 68-79 DyeFreeNet: Deep Virtual Contrast CT Synthesis (Jingya Liu, Yingli Tian, A. Muhteşem Ağıldere, K. Murat Haberal, Mehmet Coşkun, Cihan Duzgol et al.)....Pages 80-89 A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes (Nicolas H. Nbonsou Tegang, Jean-Rassaire Fouefack, Bhushan Borotikar, Valérie Burdin, Tania S. Douglas, Tinashe E. M. Mutsvangwa)....Pages 90-100 Frequency-Selective Learning for CT to MR Synthesis (Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye)....Pages 101-109 Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis (Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson et al.)....Pages 110-119 UltraGAN: Ultrasound Enhancement Through Adversarial Generation (Maria Escobar, Angela Castillo, Andrés Romero, Pablo Arbeláez)....Pages 120-130 Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities (Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl)....Pages 131-141 An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection (Wanyue Li, Yi He, Jing Wang, Wen Kong, Yiwei Chen, GuoHua Shi)....Pages 142-152 Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets (Manuel Traub, Johannes Stegmaier)....Pages 153-163 Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images (Srijay Deshpande, Fayyaz Minhas, Nasir Rajpoot)....Pages 164-173 Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis (Dejan àtepec, Danijel Skočaj)....Pages 174-183 Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models (Ziteng Liu, Ahmet Cakir, Jack H. Noble)....Pages 184-194 Back Matter ....Pages 195-196