annotation-free-fewshot

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

awesome-foundation-models-in-medical-imaging

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

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

awesome_mamba

A Comprehensive Survey of Mamba in Deep Learning

daeformer

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

deformablelka

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

dermosegdiff

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

fastmedsam

Fast Medical Segment Anything

fusenet

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

hca-net

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

incode

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

laplacian-former

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

lhunet

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

mmcformer

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

ms-former

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

ssct

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

ssl-contrastive

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

transception

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

uncertainty3d

Reducing Uncertainty in 3D Medical Image Segmentation

waveformer

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

xmindflow.github.io