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pro vyhledávání: '"Falet, Jean-Pierre R."'
Autor:
Kumar, Amar, Fathi, Nima, Mehta, Raghav, Nichyporuk, Brennan, Falet, Jean-Pierre R., Tsaftaris, Sotirios, Arbel, Tal
Deep learning models can perform well in complex medical imaging classification tasks, even when basing their conclusions on spurious correlations (i.e. confounders), should they be prevalent in the training dataset, rather than on the causal image m
Externí odkaz:
http://arxiv.org/abs/2308.10984
Autor:
Hu, Anjun, Falet, Jean-Pierre R., Nichyporuk, Brennan S., Shui, Changjian, Arnold, Douglas L., Tsaftaris, Sotirios A., Arbel, Tal
We propose a hierarchically structured variational inference model for accurately disentangling observable evidence of disease (e.g. brain lesions or atrophy) from subject-specific anatomy in brain MRIs. With flexible, partially autoregressive priors
Externí odkaz:
http://arxiv.org/abs/2211.07820
Autor:
Nichyporuk, Brennan, Cardinell, Jillian, Szeto, Justin, Mehta, Raghav, Falet, Jean-Pierre R., Arnold, Douglas L., Tsaftaris, Sotirios A., Arbel, Tal
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 1 (2022)
Generalization is an important attribute of machine learning models, particularly for those that are to be deployed in a medical context, where unreliable predictions can have real world consequences. While the failure of models to generalize across
Externí odkaz:
http://arxiv.org/abs/2210.17398
Autor:
Kumar, Amar, Hu, Anjun, Nichyporuk, Brennan, Falet, Jean-Pierre R., Arnold, Douglas L., Tsaftaris, Sotirios, Arbel, Tal
The discovery of patient-specific imaging markers that are predictive of future disease outcomes can help us better understand individual-level heterogeneity of disease evolution. In fact, deep learning models that can provide data-driven personalize
Externí odkaz:
http://arxiv.org/abs/2208.02311
Autor:
Durso-Finley, Joshua, Falet, Jean-Pierre R., Nichyporuk, Brennan, Arnold, Douglas L., Arbel, Tal
Precision medicine for chronic diseases such as multiple sclerosis (MS) involves choosing a treatment which best balances efficacy and side effects/preferences for individual patients. Making this choice as early as possible is important, as delays i
Externí odkaz:
http://arxiv.org/abs/2204.01702
Autor:
Falet, Jean-Pierre R., Côté, Jonathan, Tarka, Veronica, Martínez-Moreno, Zaida Escila, Voss, Patrice, de Villers-Sidani, Etienne
Publikováno v:
In NeuroImage September 2021 238
Akademický článek
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Akademický článek
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Autor:
Falet, Jean-Pierre R, Shriya Deshmukh, Al-Jassim, Abrar, Sigler, Gregory, Babinski, Melanie, Moore, Fraser
Supplemental material, MSJ845107_appendix_2 for The neurologist’s role in disabling multiple sclerosis: A qualitative study of patient and care provider perspectives by Jean-Pierre R Falet, Shriya Deshmukh, Abrar Al-Jassim, Gregory Sigler, Melanie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19363944e9ed4d3f324e179fdad02415