| DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era D Restrepo, C Wu, C Vásquez-Venegas, LF Nakayama, LA Celi, ... Research Square, 2024 | 14 | 2024 |
| Multi-dimensional dataset of open data and satellite images for characterization of food security and nutrition DS Restrepo, LE Pérez, DM López, R Vargas-Cañas, JS Osorio-Valencia Frontiers in Nutrition 8, 796082, 2022 | 12 | 2022 |
| A multi-modal satellite imagery dataset for public health analysis in Colombia SA Cajas, D Restrepo, D Moukheiber, KT Kuo, C Wu, DSG Chicangana A multi-modal satellite imagery dataset for public health analysis in Colombia, 0 | 8* | |
| Ophthalmology Optical Coherence Tomography Databases for Artificial Intelligence Algorithm: A Review D Restrepo, JM Quion, F Do Carmo Novaes, ID Azevedo Costa, ... Seminars in Ophthalmology 39 (3), 193-200, 2024 | 6 | 2024 |
| Risk factors for covid-19: A systematic mapping study PA Rosero, JS Realpe, CD Farinango, DS Restrepo, R Salazar-Cabrera, ... pHealth 2022, 63-74, 2022 | 6 | 2022 |
| A scoping review of the landscape of health-related open datasets in Latin America D Restrepo, J Quion, C Vásquez-Venegas, C Villanueva, L Anthony Celi, ... PLOS Digital Health 2 (10), e0000368, 2023 | 4 | 2023 |
| BRSET: a Brazilian multilabel ophthalmological dataset of retina fundus photos LF Nakayama, D Restrepo, J Matos, LZ Ribeiro, FK Malerbi, LA Celi, ... medRxiv, 2024 | 3 | 2024 |
| DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries KT Kuo, D Moukheiber, SC Ordonez, D Restrepo, AR Paddo, TY Chen, ... | 3 | 2024 |
| Analyzing diversity in healthcare LLM research: A scientometric perspective D Restrepo, C Wu, C Vásquez-Venegas, J Matos, J Gallifant, LA Celi, ... medRxiv, 2024.06. 18.24309113, 2024 | 2 | 2024 |
| Multidimensional Machine Learning Model to Calculate a COVID-19 Vulnerability Index PA Rosero Perez, JS Realpe Gonzalez, R Salazar-Cabrera, D Restrepo, ... Journal of Personalized Medicine 13 (7), 1141, 2023 | 2 | 2023 |
| Seeing beyond borders: Evaluating llms in multilingual ophthalmological question answering D Restrepo, LF Nakayama, RG Dychiao, C Wu, LG McCoy, JC Artiaga, ... 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI …, 2024 | 1 | 2024 |
| Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications D Restrepo, C Wu, SA Cajas, LF Nakayama, LAG Celi, DM Lopez medRxiv, 2024.06. 03.24308401, 2024 | 1 | 2024 |
| Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach SR Mirjalili, S Soltani, ZH Meybodi, P Marques-Vidal, DD Firouzabadi, ... Cardiovascular Diabetology 23 (1), 1-13, 2024 | | 2024 |
| MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models TMN Phan, CT Dao, C Wu, JZ Wang, S Liu, JE Ding, D Restrepo, F Liu, ... arXiv preprint arXiv:2407.12309, 2024 | | 2024 |
| Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection C Wu, D Restrepo, Z Shuai, Z Liu, L Shen arXiv preprint arXiv:2407.11188, 2024 | | 2024 |
| MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models TM Nguyen Phan, CT Dao, C Wu, JZ Wang, S Liu, JE Ding, D Restrepo, ... arXiv e-prints, arXiv: 2407.12309, 2024 | | 2024 |
| A multimodal framework for extraction and fusion of satellite images and public health data D Moukheiber, D Restrepo, SA Cajas, MPA Montoya, LA Celi, KT Kuo, ... Scientific Data 11 (1), 634, 2024 | | 2024 |
| 1233 CRITICAL APPRAISAL OF MACHINE LEARNING PROGNOSTIC MODELS FOR ACUTE PANCREATITIS: A SYSTEMATIC REVIEW I Lahooti, B Critelli, A Hassan, A Lahooti, N Matzko, JN Adams, L Liss, ... Gastroenterology 166 (5), S-286, 2024 | | 2024 |
| Critical appraisal of machine learning prognostic models for acute pancreatitis: protocol for a systematic review A Hassan, B Critelli, I Lahooti, A Lahooti, N Matzko, JN Adams, L Liss, ... Diagnostic and Prognostic Research 8 (1), 6, 2024 | | 2024 |
| The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use J Gallifant, M Afshar, S Ameen, Y Aphinyanaphongs, S Chen, ... medRxiv, 2024.07. 24.24310930, 2024 | | 2024 |
Leo Anthony CeliMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
