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Vincent Jeanselme
Vincent Jeanselme
Verified email at mrc-bsu.cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit
JH Yoon, V Jeanselme, A Dubrawski, M Hravnak, MR Pinsky, G Clermont
Critical Care 24 (1), 1-9, 2020
332020
Leveraging expert consistency to improve algorithmic decision support
M De-Arteaga, V Jeanselme, A Dubrawski, A Chouldechova
arXiv preprint arXiv:2101.09648, 2021
272021
Deep Parametric Time-to-Event Regression with Time-Varying Covariates
C Nagpal, V Jeanselme, A Dubrawski
Survival Prediction-Algorithms, Challenges and Applications, 184-193, 2021
242021
Neural Survival Clustering: Non-parametric mixture of neural networks for survival clustering
V Jeanselme, B Tom, J Barrett
Conference on Health, Inference, and Learning, 92-102, 2022
92022
Imputation strategies under clinical presence: Impact on algorithmic fairness
V Jeanselme, M De-Arteaga, Z Zhang, J Barrett, B Tom
Machine Learning for Health, 12-34, 2022
62022
A case for federated learning: Enabling and leveraging inter-hospital collaboration
S Caldas, V Jeanselme, G Clermont, MR Pinsky, A Dubrawski
C33. QUALITY, PROCESSES, AND OUTCOMES IN ACUTE AND CRITICAL CARE, A4790-A4790, 2020
42020
Neural Fine-Gray: Monotonic neural networks for competing risks
V Jeanselme, CH Yoon, B Tom, J Barrett
Conference on Health, Inference, and Learning, 379-392, 2023
32023
Deepjoint: Robust survival modelling under clinical presence shift
V Jeanselme, G Martin, N Peek, M Sperrin, B Tom, J Barrett
arXiv preprint arXiv:2205.13481, 2022
32022
Sex differences in post cardiac arrest discharge locations
V Jeanselme, M De-Arteaga, J Elmer, SM Perman, A Dubrawski
Resuscitation plus 8, 100185, 2021
32021
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation
B Boecking, V Jeanselme, A Dubrawski
Advances in Data Analysis and Classification, 2022
12022
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ...
arXiv preprint arXiv:2403.01628, 2024
2024
Review of Language Models for Survival Analysis
V Jeanselme, N Agarwal, C Wang
AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024
2024
Robustness of Machine Learning Models for Hemorrhage Detection
V Jeanselme, A Wertz, G Clermont, MR Pinsky, A Dubrawski
D23. WHAT'S NEW IN NON-PULMONARY CRITICAL CARE?, A6320-A6320, 2020
2020
Prediction for Hypotension Episode with Multigranular Data in the Intensive Care Unit
JH Yoon, V Jeanselme, Y Chen, A Dubrawski, M Hravnak, M Pinsky, ...
C15. CRITICAL CARE: BIG DATA AND ARTIFICIAL INTELLIGENCE IN CRITICAL ILLNESS …, 2018
2018
Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit Open Website
J Yoon, V Jeanselme, A Dubrawski, M Hravnak, M Pinsky, G Clermont
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