SASHIMI 2020 will be held on October 4 from 14:00 to 18:10 UTC. The program includes a keynote talk, four oral presentations, and a poster session preceded by poster highlights.
| 14:00 – 14:05 | Opening remarks | |
| 14:05 – 14:45 | Oral Session 1 |
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| 14:05 – 14:25 | DyeFreeNet: Deep Virtual Contrast CT Synthesis |
Jingya Liu, Yingli Tian, A. Muhteşem Ağıldere, K. Murat Haberal, Mehmet Coşkun, Cihan Duzgol, Oguz Akin |
| 14:25 – 14:45 | Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets |
Manuel Traub, Johannes Stegmaier |
| 14:45 – 15:15 | Poster Highlights | |
| 15:15 – 16:15 | Poster Session | |
| 3D Brain MRI GAN-based Synthesis Conditioned on Partial Volume Maps | Filip Rusak, Rodrigo santa Cruz, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Andrew P. Bradley, Olivier Salvado | |
| A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes | Hervé Nicolas Nbonsou Tegang, Jean-rassaire Fouefack, Tania Douglas, Bhushan Borotikar, Valerie Burdin, Tinashe Mutsvangwa | |
| A Method for Tumor Treating Fields Fast Estimation | Reuben R Shamir, Zeev Bomzon | |
| 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 | |
| Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models | Ziteng Liu, Ahmet Cakir, Jack Noble | |
| Blind MRI Brain Lesion Inpainting Using Deep Learning | Jose Manjon, Jose E. Romero, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria De la Iglesia-Vaya, Thomas Tourdias, Pierrick Coupé | |
| Frequency-selective Learning for CT to MR Synthesis | Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye | |
| 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 |
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| High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations | Hongyu Wang, Jun Feng, Xiaoying Pan, Di Yang, Baoying Chen | |
| Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis | Dejan Stepec, Danijel Skocaj | |
| Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities | Georg Wimmer, Michael Gadermayr, Andreas Vécsei, Andreas Uhl | |
| Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth | Pamela Jackson, Andrea Hawkins-Daarud, Kristin Swanson | |
| Synthesizing Realistic Brain MR Images With Noise Control | Lianrui Zuo, Blake Dewey, Aaron Carass, Yufan He, Muhan Shao, Jacob Reinhold, Jerry Prince | |
| Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images | Srijay Deshpande, Fayyaz Minhas, Nasir Rajpoot | |
| Uncertainty-aware Multi-resolution Whole-body MR to CT Synthesis | Kerstin Klaser, Pedro Borges, Richard Shaw, Marta Bianca Maria Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian Hutton, Vicky Goh, Gary Cook, M Jorge Cardoso, Sebastien Ourselin | |
| 16:15 – 17:15 | Keynote Talk Neural Image and Video Synthesis with Conditional GANs | Ming-Yu Liu |
| 17:15 – 17:25 | Break | |
| 17:25 – 18:05 | Oral Session 2 |
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| 17:25 – 17:45 | UltraGAN: Ultrasound Enhancement Through Adversarial Generation | Maria Escobar, Angela Castillo, Andrés Romero, Pablo Arbelaez |
| 17:45 – 18:05 | Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis | Dzung Pham, Yi-Yu Chou, Blake Dewey, Daniel Reich, John Butman, Snehashis Roy |
| 18:05 – 18:10 | Best paper award, closing remarks |
Updated on 22/09/2020
Best paper award
We are very pleased to announce that the best paper will receive a Titan RTX GPU graciously sponsored by Nvidia!
