Publications
Research outputs from the MEFINDER consortium.
2025
01
MOSCARD: Addressing bias in multimodal medical imaging with causal reasoning.
HITI Lab, Emory University.
MICCAI 2025.
2024
01
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training.
Khan, Aisha Urooj, John Garrett, Tyler Bradshaw, Lonie Salkowski, Jiwoong Jeong, Amara Tariq, and Imon Banerjee.
MICCAI 2024.
02
Fine-tuning LLMs for Treatment-Related Side Effect Extraction from Breast Cancer Clinical Notes.
HITI Lab collaboration.
JCO Clinical Cancer Informatics.
03
Hybrid Information Extraction for Longitudinal Breast Cancer Treatment Timelines from Clinical Notes.
HITI Lab collaboration.
JCO Clinical Cancer Informatics.
04
Automated Framework for Extracting Breast Cancer Recurrence Timeline and Sites from Free-Text Notes.
HITI Lab collaboration.
JCO Clinical Cancer Informatics.
2023
01
Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks.
Tang, Siyi, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, and Imon Banerjee.
IEEE Journal of Biomedical and Health Informatics 27, no. 4 (2023): 2071–2082.
2021
01
A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images.
Kathiravelu, Pradeeban, Puneet Sharma, Ashish Sharma, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Nabile Safdar, and Judy Wawira Gichoya.
Journal of Digital Imaging (JDI), August 2021.
02
Understanding Scanner Utilization With Real-Time DICOM Metadata Extraction.
Kathiravelu, Pradeeban, Ashish Sharma, and Puneet Sharma.
IEEE Access 9 (2021): 10621–10633.
This list reflects publications directly associated with the MEFINDER initiative. For a complete list of publications from contributing labs, visit the respective institutional pages.