Raphael Poulain

Computer ScienceHealth ProfessionsMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Flexible-Window Predictions on Electronic Health Records”.

Flexible-Window Predictions on Electronic Health Records

Proceedings of the AAAI Conference on Artificial Intelligence(2022)10.1609/aaai.v36i11.21520

N/A

0DataRank · unranked

8 citations

Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti, Mehak Gupta

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

PubMed(2023)10.1145/3593013.3594102

N/A

0DataRank · unranked

63 citations

Mirza Farhan Bin Tarek, Rahmatollah Beheshti, Raphael Poulain

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods

arXiv (Cornell University)(2023)10.48550/arxiv.2305.11386

N/A

0DataRank · unranked

1 citations

Mirza Farhan Bin Tarek, Rahmatollah Beheshti, Raphael Poulain

Bias patterns in the application of LLMs for clinical decision support: A comprehensive study

PubMed(2024)10.48550/arxiv.2404.15149

N/A

0DataRank · unranked

7 citations

Hamed Fayyaz, Rahmatollah Beheshti, Raphael Poulain

Aligning (Medical) LLMs for (Counterfactual) Fairness

arXiv (Cornell University)(2024)10.48550/arxiv.2408.12055

N/A

0DataRank · unranked

1 citations

Hamed Fayyaz, Rahmatollah Beheshti, Raphael Poulain

Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks

(2025)10.1145/3721201.3721373

N/A

0DataRank · unranked

0 citations

Raphael Poulain, Rahmatollah Beheshti, Mirza Farhan Bin Tarek