1 citations · 1 across the 2 of their papers we have counts for
3 papers
MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology
Kiril Vasilev, Alexandre Misrahi, Eeshaan Jain +5
Multimodal Large Language Models (LLMs) hold promise for biomedical reasoning, but current benchmarks fail to capture the complexity of real-world clinical workflows. Existing eval…
AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery
Johann Wenckstern, Eeshaan Jain, Yexiang Cheng +9
Spatial proteomics technologies have transformed our understanding of complex tissue architecture in cancer but present unique challenges for computational analysis. Each study use…
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal +3
Existing subset selection methods for efficient learning predominantly employ discrete combinatorial and model-specific approaches which lack generalizability. For an unseen archit…