Jason Alan Fries
@jason-fries.bsky.social
Research scientist at Stanford University working on healthcare AI, foundation models, and data-centric AI. I focus on evaluating model reproducibility, training multimodal models with EHRs, and improving human-AI collaboration in medicine.
Excited to share our paper "Time-to-Event Pretraining for 3D Medical Imaging" is accepted at ICLR 2025! 🚀
We introduce time-to-event pretraining for imaging, leveraging longitudinal EHRs to provide temporal supervision and enhance disease prognosis performance.
🔗 Paper: arxiv.org/abs/2411.09361
We introduce time-to-event pretraining for imaging, leveraging longitudinal EHRs to provide temporal supervision and enhance disease prognosis performance.
🔗 Paper: arxiv.org/abs/2411.09361
February 2, 2025 at 9:31 PM
Excited to share our paper "Time-to-Event Pretraining for 3D Medical Imaging" is accepted at ICLR 2025! 🚀
We introduce time-to-event pretraining for imaging, leveraging longitudinal EHRs to provide temporal supervision and enhance disease prognosis performance.
🔗 Paper: arxiv.org/abs/2411.09361
We introduce time-to-event pretraining for imaging, leveraging longitudinal EHRs to provide temporal supervision and enhance disease prognosis performance.
🔗 Paper: arxiv.org/abs/2411.09361