🔥 Medical Image Analysis 2025: Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
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Updated
Jan 5, 2026 - Python
🔥 Medical Image Analysis 2025: Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
Cardiac MR image processing.
A robust self-supervised deep learning framework for quantifying MR myocardial perfusion
AI-powered cardiac MRI classification with explainable AI & IBM Cloud integration for clinical decision support.
Code for reproducing results for the paper: "Scan-Adaptive Dynamic MRI Undersampling Using a Dictionary of Efficiently Learned Patterns"
Deep learning-based multi-class segmentation of cardiac chambers in MRI (ACDC dataset)
Deep ensemble U-Net framework for cardiac MRI segmentation using meta-learning, designed for research-grade and clinical-oriented evaluation.
Web-based cardiac MRI segmentation demo using FastAPI backend and React (Vite) frontend, based on ACDC dataset. Forked for personal contributions and portfolio.
Optical Flow-Guided Cine MRI Segmentation with Learned Corrections
Official implementation of Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping (MICCAI 2025).
Deep learning-based multi-class segmentation of cardiac chambers in MRI (ACDC dataset)
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