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Jean-Pierre R. Falet
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2020 – today
- 2025
[j2]Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Amar Kumar, Joshua Durso-Finley, Tal Arbel, Douglas L. Arnold:
The role of AI for MRI-analysis in multiple sclerosis - A brief overview. Frontiers Artif. Intell. 8 (2025)
[i9]Minsu Kim, Jean-Pierre R. Falet, Oliver E. Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio:
Search-Based Correction of Reasoning Chains for Language Models. CoRR abs/2505.11824 (2025)- 2024
[c6]Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio:
Delta-AI: Local objectives for amortized inference in sparse graphical models. ICLR 2024
[c5]Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. MICCAI (3) 2024: 400-410
[i8]Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. CoRR abs/2406.12807 (2024)- 2023
[c4]Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel:
Debiasing Counterfactuals in the Presence of Spurious Correlations. CLIP/FAIMI/EPIMI@MICCAI 2023: 276-286
[c3]Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. MICCAI (5) 2023: 472-481
[i7]Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. CoRR abs/2305.03829 (2023)
[i6]Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel:
Debiasing Counterfactuals In the Presence of Spurious Correlations. CoRR abs/2308.10984 (2023)
[i5]Jean-Pierre R. Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru, Dinghuai Zhang, Guillaume Lajoie, Yoshua Bengio:
Delta-AI: Local objectives for amortized inference in sparse graphical models. CoRR abs/2310.02423 (2023)- 2022
[c2]Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. AIIIMA/MIABID@MICCAI 2022: 113-124
[c1]Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel:
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. MIDL 2022: 387-406
[i4]Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel:
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. CoRR abs/2204.01702 (2022)
[i3]Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. CoRR abs/2208.02311 (2022)
[i2]Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR abs/2210.17398 (2022)
[i1]Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR abs/2211.07820 (2022)- 2021
[j1]Jean-Pierre R. Falet, Jonathan Côté, Veronica Tarka
, Zaida Escila Martínez-Moreno
, Patrice Voss, Etienne de Villers-Sidani:
Mapping the human auditory cortex using spectrotemporal receptive fields generated with magnetoencephalography. NeuroImage 238: 118222 (2021)
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last updated on 2025-06-29 20:49 CEST by the dblp team
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