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ORCIDSASHIMI@MICCAI 2022: Singapore
- Can Zhao
, David Svoboda, Jelmer M. Wolterink, María Escobar:
Simulation and Synthesis in Medical Imaging - 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13570, Springer 2022, ISBN 978-3-031-16979-3 - Berke Doga Basaran, Mengyun Qiao, Paul M. Matthews, Wenjia Bai:
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images. 1-11 - Guus van der Ham, Rudolfs Latisenko, Michail Tsiaousis, Gijs van Tulder:
Generating Artificial Artifacts for Motion Artifact Detection in Chest CT. 12-23 - Dennis Eschweiler, Justus Schock, Johannes Stegmaier:
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data. 24-33 - Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs. 34-42 - Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Baoxin Li:
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. 43-54 - Yuan Xue, Blake E. Dewey, Lianrui Zuo, Shuo Han, Aaron Carass, Peiyu Duan, Samuel W. Remedios, Dzung L. Pham, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement. 55-65 - Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. 66-78 - Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can Segmentation Models Be Trained with Fully Synthetically Generated Data? 79-90 - Anitha Priya Krishnan, Roshan Reddy Upendra, Aniket Pramanik, Zhuang Song, Richard A. D. Carano:
Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance. 91-100 - Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks:
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. 101-111 - Sinan Kaplan, Lasse Lensu:
Contrastive Learning for Generating Optical Coherence Tomography Images of the Retina. 112-121 - Chelsea A. H. Sargeant, Andrew Green, Jane Shortall, Robert Chuter, Jiaofeng Xu, Daniel Thill, Nicolette O'Connell, Alan McWilliam:
A Novel Method Combining Global and Local Assessments to Evaluate CBCT-Based Synthetic CTs. 122-131 - Cristhian Forigua, María Escobar, Pablo Arbeláez:
SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution. 132-141 - McKell Woodland, John Wood, Brian M. Anderson, Suprateek Kundu, Ethan Lin, Eugene J. Koay, Bruno Odisio, Caroline Chung, Hyunseon Christine Kang, Aradhana M. Venkatesan, Sireesha Yedururi, Brian De, Yuan-Mao Lin, Ankit B. Patel, Kristy K. Brock:
Evaluating the Performance of StyleGAN2-ADA on Medical Images. 142-153 - Ruinan Jin, Xiaoxiao Li:
Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis. 154-165
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