no code implementations • 1 Dec 2021 • Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodriguez, David Vazquez
Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to impressive increases in generalisation for downstream tasks.
no code implementations • 24 Mar 2021 • Alex Chang, Vinith Suriyakumar, Abhishek Moturu, James Tu, Nipaporn Tewattanarat, Sayali Joshi, Andrea Doria, Anna Goldenberg
Modern deep unsupervised learning methods have shown great promise for detecting diseases across a variety of medical imaging modalities.
no code implementations • MIDL 2019 • Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, Nipaporn Tewattanarat, Andrea Doria, Anna Goldenberg
Early detection of cancer is key to a good prognosis and requires frequent testing, especially in pediatrics.