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ORCIDSASHIMI@MICCAI 2021: Strasbourg, France
- David Svoboda
, Ninon Burgos, Jelmer M. Wolterink, Can Zhao:
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12965, Springer 2021, ISBN 978-3-030-87591-6
Method-Oriented Papers
- Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley:
Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation. 3-13 - Samuel W. Remedios, Shuo Han, Blake E. Dewey, Dzung L. Pham, Jerry L. Prince, Aaron Carass:
Joint Image and Label Self-super-Resolution. 14-23 - Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masahiro Oda, Kensaku Mori:
Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset. 24-33 - Ibrahim Jubran, Moshiko Raboh, Shaked Perek, David Gruen, Efrat Hexter:
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms. 34-43 - Adrià Casamitjana, Matteo Mancini, Juan Eugenio Iglesias:
Synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired Images. 44-54 - Ziyi He, Albert C. S. Chung:
Learning-Based Template Synthesis for Groupwise Image Registration. 55-66 - Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso:
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. 67-76 - Marián Kozlovský, David Wiesner, David Svoboda:
Transfer Learning in Optical Microscopy. 77-86 - J. Maul, Sarah Said, Nicole V. Ruiter, Torsten Hopp:
X-ray Synthesis Based on Triangular Mesh Models Using GPU-Accelerated Ray Tracing for Multi-modal Breast Image Registration. 87-96
Application-Oriented Papers
- Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair:
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks. 99-109 - Wanyue Li, Yi He, Wen Kong, Jing Wang, Guohua Deng, Yiwei Chen, Guohua Shi:
SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image. 110-120 - Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia:
Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. 121-130 - José D. Tascón-Vidarte, Isak Wahlstedt, Julien Jomier, Kenny Erleben, Ivan R. Vogelius, Sune Darkner:
Cine-MRI Simulation to Evaluate Tumor Tracking. 131-141 - Daria Zotova, Julien Jung, Carole Lartizien:
GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models. 142-152
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