Pinned Repositories
cUNet
Website of Continuous U-Net: https://math-ml-x.github.io/cUNet/
DiffMIC
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
GraphMIA24
This is the official website for MICCAI'24 Tutorial on Graph Learning in Medical Image Analysis.
LaplaceNet
A PyTorch Implementation of LaplaceNet:A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification
NorMatch
PyTorch implementation of NorMatch paper (TMLR)
ORACLE
Website for 'AI Based Traffic Analysis from Video Data for Assessing Pollution Levels, Road Safety and Population Health in Major Cities': https://math-ml-x.github.io/ORACLE/
scotch-and-soda
[CVPR'23] Code for "SCOTCH and SODA: A Transformer Video Shadow Detection Framework".
simultaneous_semantic_and_instance_segmentation
[MIUA'22 & CoNiC'22] Code for "Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting".
TFPnP
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
TRIDENT
Website of TRIDENT: https://math-ml-x.github.io/TRIDENT/
Math+ML+X Lab's Repositories
Math-ML-X/cUNet
Website of Continuous U-Net: https://math-ml-x.github.io/cUNet/
Math-ML-X/.github
Math-ML-X/2019_mri_reconstruction
Implementation of MRIR-DLMC algorithm
Math-ML-X/DAL-HERS
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation
Math-ML-X/Diff4Med
Website for 'From Theory to Treatment: Advancing Diffusion Models for Medical Diagnosis': https://math-ml-x.github.io/Diff4Med/
Math-ML-X/DiffMIC
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Math-ML-X/GraphMIA24
This is the official website for MICCAI'24 Tutorial on Graph Learning in Medical Image Analysis.
Math-ML-X/LaplaceNet
A PyTorch Implementation of LaplaceNet:A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification
Math-ML-X/NorMatch
PyTorch implementation of NorMatch paper (TMLR)
Math-ML-X/ORACLE
Website for 'AI Based Traffic Analysis from Video Data for Assessing Pollution Levels, Road Safety and Population Health in Major Cities': https://math-ml-x.github.io/ORACLE/
Math-ML-X/scotch-and-soda
[CVPR'23] Code for "SCOTCH and SODA: A Transformer Video Shadow Detection Framework".
Math-ML-X/simultaneous_semantic_and_instance_segmentation
[MIUA'22 & CoNiC'22] Code for "Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting".
Math-ML-X/Superpixel-Contracted-Graph-Based-Learning-for-Hyperspectral-Image-Classification
Code for the Paper "Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification"
Math-ML-X/TFPnP
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
Math-ML-X/ThreeStageSelftraining_SemanticSegmentation
This repository is about our work "A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation"
Math-ML-X/TrafficCAM
Website of TrafficCAM: https://math-ml-x.github.io/TrafficCAM/
Math-ML-X/TRIDENT
Website of TRIDENT: https://math-ml-x.github.io/TRIDENT/
Math-ML-X/unsupervised-medical-image-segmentation
Code for "Contrastive Registration for Unsupervised Medical Image Segmentation".
Math-ML-X/GrapHMedIA
Website for MICCAI 2023 Tutorial: https://math-ml-x.github.io/GrapHMedIA/