X-MindFlow

Awesome-Foundation-Models-in-Medical-Imaging

A curated list of foundation models for vision and language tasks in medical imaging

Awesome_Mamba

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

deformableLKA

[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

Awesome-Implicit-Neural-Representations-in-Medical-imaging

[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging

Awesome-Transformer-in-Medical-Imaging

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

DAEFormer

[MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

DermoSegDiff

[MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation

MSA-2Net

[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"

LHUNet

LHU-Net: A Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation

TransCeption

Official code for Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach

INCODE

[WACV 2024] INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings

WaveFormer

[MICCAI 2023] Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers

SSL-contrastive

[ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning

SSCT

[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation

cenet

[MICCAI 2025] CENet: Context Enhancement Network for Medical Image Segmentation

FuseNet

[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation

Annotation-Free-Fewshot

[MICCAI 2023] Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach

MMCFormer

[MIDL 2023] MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation

Laplacian-Former

[MICCAI 2023] Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection

MS-Former

[MIDL 2023] MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation

HCA-Net

[ISBI 2024] HCA-Net: Hierarchical Context Attention Network for Intervertebral Disc Semantic Labeling

Met-Seg

Official repository of the paper titled "Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study"

BrainCL

Official repository of the paper titled "Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning"

FastMedSAM

Fast Medical Segment Anything

DKParcellationdMRI

Official repository of the paper titled "Deep Learning-Based Desikan-Killiany Parcellation of the Brain Using Diffusion MRI"

uncertainty3D

Reducing Uncertainty in 3D Medical Image Segmentation

xmindflow.github.io