alfredtorres

centerline_CE

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

DIAS

[MedIA2024]DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences

ECGAN

Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis

TopologyLayer

A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

topograd

Topological Priors for Image segmentation

BoundaryDoULoss

Code for Boundary Difference Over Union Loss For Medical Image Segmentation

VesselVAE

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Medical-Cross-Modality-Domain-Adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

ALDM

Adaptive Latent Diffusion Model for 3D Medical Image

PLPP

Skeleton-Recall

Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures

VAMCEI

Towards Accurate Cardiac MRI Segmentation with Variational Autoencoder-Based Unsupervised Domain Adaptation

UDA-via-joint-adversarial-learning-and-self-learning

Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning

Weakly-Supervised-by-MIP

MiDSS

ScribblePrompt

[ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

MAPSeg

[CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling

VoCo

[CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis

pytorch-unsupervised-segmentation-tip

SFDA-DPL

[MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling

SFDA-Chebyshev

Code for paper "A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation"

Gmim

BBDM

BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

Cross-Modality-Vessel-Segmentation

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

MIC

[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Coronary-Artery-Vein-Segmentation

LightM-UNet

Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"