SASHIMI 2021 will be held on September 27. The program includes a keynote talk, six oral presentations, and two poster sessions preceded by poster highlights. Times specified correspond to the UTC time zone.
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First half-day session
09:00 – 09:10 | Introduction (Live) |
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09:10 – 10:00 | Oral Session I (Pre-recorded talks with live Q&A) |
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09:10 – 09:30 | SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image (paper) |
Wanyue Li, Wen Kong, Yi He, Jing Wang, Guohua Deng, Yiwei Chen, Guohua Shi |
09:30 – 09:50 | The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties (paper | code) |
Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Klaser, David Thomas, Ivana Drobnjak, Sebastien Ourselin, M. Jorge Cardoso |
9:50 – 10:00 | Poster Highlights I (Pre-recorded videos) | |
10:00 – 10:25 | Break | |
10:25 – 11:25 |
Poster Session I (Live on Spatial Chat) |
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Learning-based Template Synthesis For Groupwise Image Registration (paper) |
Ziyi He, Albert C. S. Chung | |
Super-resolution by Latent Space Exploration: Training with Poorly- aligned Clinical and Micro CT Image Dataset (paper) |
Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masahiro Oda, Kensaku Mori | |
A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms (paper | video) |
Ibrahim Jubran, Moshe Raboh, Shaked Perek, David Gruen, Efrat Hexter |
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X-ray synthesis based on triangular mesh models using GPU- accelerated ray tracing for multi-modal breast image registration (paper | video | poster | code) |
Johannes Maul, Sarah Said, Nicole Ruiter, Torsten Hopp |
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11:25 – 11:40 | Break | |
11:40 – 12:25 |
Oral Session II (Pre-recorded talks with live Q&A) |
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11:40 – 11:45 | Surprise! | |
11:45 – 11:55 | A word by Hyperfine, award sponsor | |
11:55 – 12:15 | Cerebral Blood Volume Prediction based on Multi-modality Magnetic Resonance Imaging (paper) |
Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia |
12:15 – 12:35 | Detail matters: high-frequency content for realistic synthetic brain MRI generation (paper | video) |
Filip Rusak, Rodrigo santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley |
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Second half-day session
14:00 – 15:00 |
Keynote Talk (Pre-recorded talk with live Q&A) |
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Deep Optics: Learning Cameras and Optical Computing Systems | Gordon Wetzstein | |
15:00 – 15:10 | Poster Highlights II (Pre-recorded videos) | |
15:10 – 15:25 | Break | |
15:25 – 16:25 |
Poster Session II (Live on Spatial Chat) |
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Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks (paper) |
Michael Gadermayr, Maximilian Ernst Tschuchnig, Lea Maria Stangassinger, Christina Kreutzer, Sebastien Couillard-Despres, Gertie Janneke Oostingh, Anton Hittmair |
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Transfer Learning in Optical Microscopy (paper) |
Martin Kozlovský, David Wiesner, David Svoboda |
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Cine-MRI simulation to evaluate tumor tracking (paper | code) |
José D. Tascón-Vidarte, Isak Wahlstedt, Julien Jomier, Kenny Erleben, Ivan R. Vogelius, Sune Darkner |
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GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models (paper) |
Daria Zotova, Julien Jung, Carole Lartizien |
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16:25 – 16:40 | Break | |
16:40 – 17:30 |
Oral Session III (Pre-recorded talks with live Q&A) |
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16:40 – 16:50 | A word by Nvidia, award sponsor | |
16:50 – 17:10 | Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images (paper | code) |
Adrià Casamitjana, Matteo Mancini, Juan Eugenio Iglesias |
17:10 – 17:30 | Joint Image and Label Self-Super-Resolution (paper | code) |
Samuel Remedios, Shuo Han, Blake Dewey, Dzung Pham, Jerry Prince, Aaron Carass |
17:30 – 17:40 | Best paper awards & Closing remarks (Live) |
Updated on 24/09/2021
Best paper awards
We are very pleased to announce that
Adrià Casamitjana, Matteo Mancini and Juan Eugenio Iglesias
received the best paper award, a RTX 3090 GPU graciously sponsored by Nvidia, for their paper entitled
"Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images"
and that
Johannes Maul, Sarah Said, Nicole Ruiter and Torsten Hopp
received the reproducibility award, $200 graciously sponsored by Hyperfine, for their paper entitled
which rewards the best paper with publicly available, well documented, and easy to use source code.