18 September 2022 3:40 PM to 7:10 PM (SGT time) – 9:40 AM to 1:10 PM (CET time)
Time (SGT) |
Session | ||
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| 3:45 PM – 4:00 PM | Opening | ||
| 4:00 PM – 4:45 PM | Keynote I: Image quality transfer and democratization of MRI Prof. Daniel Alexander, University College London, United Kindgom |
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| 4:45 PM – 5:15 PM | Oral Session I | ||
| Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Anton, Aaron Carass and Andrew P. King |
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| Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks Rakshith Sathish, Swanand Khare and Debdoot Sheet |
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| 5:15 PM – 5:45 PM | Break and Poster Session | ||
| 5:45 PM – 6:30 PM | Keynote II: Close the loop for Medical Ophthalmology AI application Dr. Zongyuan Ge, Monash University, Australia |
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| 6:30 PM – 7:05 PM | Oral Session II | ||
| Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce W.S. Chen, Christine Hendon and Paul Sajda |
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| LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network Ekansh Chauhan, Swathi Guptha, Likith Reddy and Bapi Raju |
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| The African Neuroimaging Archive (AfNiA): An Approach for Democratizing AI in Medical Imaging (Link) Udunna Anazodo, Confidence Raymond, Dong Zhang, Can Akgun, Michael O Dada, Iris Asllani, Maruf Adewole, Farouk Dako |
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| 7:05 PM – 7:10 PM | Closing |