This is a repository for summarizing papers especially related to machine learning.

Paper notes for my PhD on Machine Learning (mostly focused on Reinforcement Learning)

Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning

Deep Whole Brain Segmentation Using SLANT Method

ImgLib2/BDV implementation of Stitching for large datasets

A foundation model for universal 3D blood vessel segmentation.

3D U-Net model for volumetric semantic segmentation written in pytorch

[MICCAI'24] Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

End-to-end light-sheet image analysis for mouse brains, with DL training data generated in VR