Segment Anything in Medical Images

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Jupyter notebooks for learning how to use SimpleITK

[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis

Jupyter notebook tutorials for MMSegmentation

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

The Official Repository for "Generalized OOD Detection: A Survey"

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

A thesis submitted for the degree of Master of Science in Computer Networks and Security

Code for the Medical Out of Distribution challenge 2020

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

Unsupervised Graph Outlier Detection ( published at ICDE2023 )