Incremental few-shot learning for low- and multi-label medical image pathology classification. Toronto, ON M5S 3G4, Canada Email: marzyeh (at) cs (dot) toronto (dot) eduRead more → In Medical Imaging Meets NeurIPS Workshop, Vancouver, BC, Canada, 2020. Marzyeh tackles part of this puzzle with machine learning. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, affiliated with the Vector Institute. P r e d i c ti n g i n te r ve n ti on on s e t i n th e I CU wi th s wi tc h i n g s tate s p ac e mod e l s . View Marzyeh Ghassemi’s profile on LinkedIn, the world’s largest professional community. Marzyeh targets “Healthy ML”, focusing on applying machine learning to understand and improve health. Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). We are building an open database of COVID-19 cases with chest X-ray or CT images. AI for Healthcare Improving health requires targeting and evidence. Previously, she was a Visiting Researcher with Alphabet’s Verily and a post-doc with Dr. Peter Szolovits at IT (CV). Sequential explanations with mental model-based policies. - ieee8023/covid-chestxray-dataset Office: Department of Computer Science and Medicine University of Toronto Office: Pratt 286A 6 King’s College Rd. Marzyeh targets “Healthy ML”, focusing on creating applying machine learning to understand and improve health. In Inductive Biases, Invariances and Generalization in RL (BIG) at ICML, 2020 [arXiv] 11.Arnold Yeung, Shalmali Joshi, Joseph Williams, and Frank Rudzicz. Discrete switching-state sy ste ms for ICU vasopr e ssor i nte r ve nti on and we ani ng pr e di c ti ons. Dr. Marzyeh Ghassemi. 10.Taylor Killian, Marzyeh Ghassemi, and Shalmali Joshi. Ghassemi, M. Wu, M., Feng, M . Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. ... she was a Visiting Researcher with Alphabet’s Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Gha s s e m i , M.* , W u, M.*, Hughe s , M.C . Marzyeh has 7 jobs listed on their profile. Marzyeh Ghassemi - Assistant Professor, Faculties of Computer Science (2015) Ne ural Informa t i on Proc e ssi ng Syst e m s (NIPS 2015) Workshop on Machine Learning in He a l t hc a re . Ghassemi, M ., Syed, Z., and R.E ., Gut t a g, J.V. This session will cover some of the novel technical opportunities for machine learning in health challenges, and the important progress to be made with careful application to domain. Professor Ghassemi completed her PhD at MIT where her research focused on machine learning in health care. She currently serves as a NeurIPS 2019 Workshop Co-Chair, and Board Member of the Machine Learning for Health Unconference. Counterfactually guided policy transferin clinical settings. W2 Laleh Seyyed-Kalantari, Karsten Roth, MengyeRen, Parsa Torabian, Joseph P. Cohen, Marzyeh Ghassemi. Professor Ghassemi completed her PhD at MIT where her research focused on machine learning in health care. *, S z ol ovi t s , P ., a nd Dos hi -Ve l e z , F . Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV).
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