3 papers
cs.LG2025
The Framework That Survives Bad Models: Human-AI Collaboration For Clinical Trials
Yao Chen, David Ohlssen, Aimee Readie +3
Artificial intelligence (AI) holds great promise for supporting clinical trials, from patient recruitment and endpoint assessment to treatment response prediction. However, deployi…
eess.IV2024
Image registration based automated lesion correspondence pipeline for longitudinal CT data
Subrata Mukherjee, Thibaud Coroller, Craig Wang +6
Patients diagnosed with metastatic breast cancer (mBC) typically undergo several radiographic assessments during their treatment. mBC often involves multiple metastatic lesions in…
cs.LG2024
TorchSurv: A Lightweight Package for Deep Survival Analysis
Mélodie Monod, Peter Krusche, Qian Cao +4
TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment. Unlike existing libraries that impose specific param…