My reading notes, paper maps, and research rabbit holes.

Here I collect one-page summaries of scientific papers I find interesting in AI for healthcare, especially work connected to oncology and cardiovascular applications.

The topics wander a bit, in a good way, across medical image analysis, generative AI, simulation and synthesis for medical imaging, cancer imaging with CT and MRI, cardiac MRI, cardiovascular disease prediction, foundation models, multimodal healthcare data integration and alignment, self-supervised learning, LLMs, agentic AI for radiology, and synthetic-data generation.