AWS Cloud Credit Projects

2024 AIMI-AWS Cloud Credit Projects

The AIMI-AWS Cloud Credit for Research Program offers Stanford researchers promotional credit to accelerate research in AI in health and medicine by leveraging powerful cloud computing resources. Applications are currently being accepted on a rolling basis. Learn more here.

A Deep Learning Approach to Evaluation Positioning of Intra-Aortic Balloon Pumps on Chest X-Rays

PI: Derek Wu

A Large Vision-Language Model for the Clinical Analysis of Brain MRI

PI: Jonathan Zia 

An Open Repository of Foundation and Specialist Vision-Language Models Derived from Scientific Literature 

PI: Serena Yeung-Levy

Diffusion Bridge Foundation Models: Self-Supervised Multimodal Representation Learning for Medical Image Synesis, Translation and Beyond

PI: Jiaming Liu

H&E Molecular Neural Network (HEMnet)

PI: HoJoon Lee

Improving Radiologist Efficiency via Multi-Agent Frameworks

PI: Zhihong Chen

Integrating AI with Body Composition Analysis of MRI for the Management of Pelvic Floor Disorders

PI: Elima Hussain

Post-Training Methods for Radiology Vision Language Models

PI: Akshay Chaudhari