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Paul Trichelair

Observed names: P Trichelair, P. Trichelair, Trichelair, Paul
OpenAlex ID: A5044824672
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
2021 · Nathalie Lassau, Samy Ammari, et al. · Nature Communications · 190
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Safe Policy Improvement with Baseline Bootstrapping
2017 · Laroche, Romain, Trichelair, Paul, et al. · arXiv (Cornell University) · 87
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The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
2019 · Ali Emami, Paul Trichelair, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 43
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
2019 · Paul Trichelair, Ali Emami, et al. · 39
External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning
2022 · Nicolas Loiseau, Paul Trichelair, et al. · BMC Medical Research Methodology · 29
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Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial data
2021 · Adrien Rousset, David Dellamonica, et al. · European Heart Journal - Digital Health · 24
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On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.
2018 · Paul Trichelair, Ali Emami, et al. · arXiv (Cornell University) · 10
More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study
2023 · Raphaëlle Momal, Honghao Li, et al. · Trials · 7
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AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
2020 · Lassau, Nathalie, Ammari, Samy, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 3
Abstract 4117032: Investigating the natural history and risk factors underlying deterioration in early-stage hypertrophic cardiomyopathy: findings from SOLENOID
2024 · William Bradlow, Kevin Elgui, et al. · Circulation · 1
Abstract 4138992: Beta blockers and calcium channel blockers in pre-symptomatic patients with hypertrophic cardiomyopathy: prevalence, discontinuation, and effectiveness
2024 · William Bradlow, Kevin Elgui, et al. · Circulation · 1
How Machine Learning Can Enhance Clinical Development
2021 · P Trichelair · Hematological Oncology · 1
A fully automated machine learning assisted pipeline to predict disease progression for early-stage hypertrophic cardiomyopathy from echocardiography
2026 · Antoine Olivier, Auriane Riou, et al. · Frontiers in Cardiovascular Medicine
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1169 OKN4395: a first-in-class highly potent and selective EP2, EP4, and DP1 triple inhibitor for solid cancer treatment alone or in combination with anti-PD1
2025 · Maximilien Grandclaudon, Anna Thaller, et al. · Regular and Young Investigator Award Abstracts
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238eP Context-based drug positioning and multimodal characterization for OKN4395
2025 · A. Grimaldi, B. Sauty, et al. · Annals of Oncology
Improving risk stratification of recurrent myocardial infarction in a large real-world dataset using machine learning
2023 · G Chodick, Z Vered, et al. · European Heart Journal
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More efficient and inclusive time-to-event trials with covariate adjustment: a simulation study
2022 · Raphaëlle Momal, Paul Trichelair, et al. · medRxiv
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Works count: 19
Citation count: 435
H-index: 7
I10-index: 7
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