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Elisa Warner
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2020 – today
- 2024
- [j2]Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn Jr., Olivier Gevaert, Arvind Rao:
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. Int. J. Comput. Vis. 132(9): 3753-3769 (2024) - 2023
- [c3]Elisa Warner, Joonsang Lee, Santhoshi Krishnan, Nicholas Wang, Shariq Mohammed, Ashok Srinivasan, Jayapalli R. Bapuraj, Arvind Rao:
Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. EMBC 2023: 1-4 - [i1]Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao:
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR abs/2311.02332 (2023) - 2022
- [c2]Elisa Warner, Xuelu Li, Ganesh Rao, Jason Huse, Jeffrey Traylor, Visweswaran Ravikumar, Vishal Monga, Arvind Rao:
Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides. EMBC 2022: 4938-4941 - [c1]Elisa Warner, Najla Al Turkestani, Jonas Bianchi, Marcela Lima Gurgel, Lucia H. S. Cevidanes, Arvind Rao:
Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information. EPIMI/ML-CDS@MICCAI 2022: 77-86 - 2021
- [j1]Elyas Sabeti, Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak, Kayvan Najarian:
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE J. Biomed. Health Informatics 25(3): 784-796 (2021)
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last updated on 2024-10-07 21:22 CEST by the dblp team
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