[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

MixMatch Domain Adaptation: Prize-winning solution for both tracks of VisDA 2019 challenge

Identifying cooling towers from satellite and aerial imagery

[Computer Vision] Mask wearing classification task (4등 / 48팀)

This project aims to develop a deep learning model for segmenting the stomach and intestines in MRI scans of cancer patients, improving radiation targeting and reducing manual intervention.

Classification of Brain MRI scans into 4 categories of tumor using EfficientNet model.