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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
(ACM TOMM) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
(MICCAI 2021 [MSNet] & MICCAI 2022 GOALS Challenge [M2SNet]) Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
This repo is the official implementation of 'Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation' which is an improved journal version of UC…
The official codes for the work "MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation".
【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"
The official code of "Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images", CVPR 2025
Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models
[ISBI 2024] DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
【IEEE TCYB 2025】Towards Reliable Medical Image Segmentation by Modelling Evidential Calibrated Uncertainty
The official repo for [MIDL'23 Oral] "Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation"
[CVPR 2025] Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images (MedIA)
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR images
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
EfficientSeg - MICCAI MyoPS Challenge Honorable Mention