6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2023
AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT
Edward H. Lee, Brendan Kelly, Emre Altinmakas +27
While it is well known that population differences from genetics, sex, race, and environmental factors contribute to disease, AI studies in medicine have largely focused on locoreg…
cs.LG2022★ 1 cited
The Ability of Image-Language Explainable Models to Resemble Domain Expertise
Petrus Werner, Anna Zapaishchykova, Ujjwal Ratan
Recent advances in vision and language (V+L) models have a promising impact in the healthcare field. However, such models struggle to explain how and why a particular decision was…
cs.CL2021★ 6 cited
Improving Early Sepsis Prediction with Multi Modal Learning
Fred Qin, Vivek Madan, Ujjwal Ratan +4
Sepsis is a life-threatening disease with high morbidity, mortality and healthcare costs. The early prediction and administration of antibiotics and intravenous fluids is considere…