Risk Factors for COVID-19: A Systematic Mapping Study. - Paula A. Rosero; Juan S. Realpe; Charic D. Farinango; David S. Restrepo; Ricardo Salazar Cabrera; Diego M. Lopez (pHealth, 2022)

MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. - Phan Nguyen Minh Thao; Cong-Tinh Dao; Chenwei Wu 006; Jian-Zhe Wang; Shun Liu; Jun-En Ding; David S. Restrepo; Feng Liu 011; Fang-Ming Hung; Wen-Chih Peng (CIKM, 2024)

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering. - David S. Restrepo; Luis Filipe Nakayama; Robyn Gayle Dychiao; Chenwei Wu 006; Liam G. McCoy; Jose Carlo Artiaga; Marisa Cobanaj; João Matos; Jack Gallifant; Danielle S. Bitterman; Vincenz Ferrer; Yindalon Aphinyanaphongs; et al. (ICHI, 2024)

Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection. - Chenwei Wu 006; David S. Restrepo; Zitao Shuai; Zhongming Liu; Liyue Shen (MICCAI (9), 2024)

DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. - Kuan-Ting Kuo; Dana Moukheiber; Sebastián Cajas Ordonez; David S. Restrepo; Atika Rahman Paddo; Tsung-Yu Chen; Lama Moukheiber; Mira Moukheiber; Sulaiman Moukheiber; Saptarshi Purkayastha; Po-Chih Kuo; Leo Anthony Celi (CoRR, 2024)

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era. - David S. Restrepo; Chenwei Wu 006; Constanza Vásquez-Venegas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications. - David S. Restrepo; Chenwei Wu 006; Sebastián Andrés Cajas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective. - David S. Restrepo; Chenwei Wu 006; Constanza Vásquez-Venegas; João Matos; Jack Gallifant; Luis Filipe (CoRR, 2024)

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. - David S. Restrepo; Chenwei Wu 006; Zhengxu Tang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Cong-Tinh Dao; Jack Gallifant; Robyn Gayle Dychiao; Jose Carlo Artiaga; André Hiroshi Bando; Carolina Pelegrini Barbosa Gracitelli; et al. (AAAI, 2025)

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation. - João Matos; Shan Chen 004; Siena Placino; Yingya Li; Juan Carlos Climent Pardo; Daphna Idan; Takeshi Tohyama; David S. Restrepo; Luis Filipe Nakayama; Jose M. M. Pascual-Leone; Guergana K. Savova; Hugo J. W. L. Aerts; et al. (NAACL (Findings), 2025)

Representation Learning of Lab Values via Masked AutoEncoder. - David S. Restrepo; Chenwei Wu 006; Yueran Jia; Jaden K. Sun; Jack Gallifant; Catherine G. Bielick; Yugang Jia; Leo A. Celi (CoRR, 2025)

Performance Gains of LLMs With Humans in a World of LLMs Versus Humans. - Lucas McCullum; Pelagie Ami Agassi; Leo Anthony Celi; Daniel K. Ebner; Chrystinne Oliveira Fernandes; Rachel S. Hicklen; Mkliwa Koumbia; Lisa Soleymani Lehmann; David S. Restrepo (CoRR, 2025)