cansuyalcinn's Stars
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Tencent/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
JunMa11/MICCAI-OpenSourcePapers
MICCAI 2019-2023 Open Source Papers
AngeLouCN/Min_Max_Similarity
A contrastive learning based semi-supervised segmentation network for medical image segmentation
irfanICMLL/structure_knowledge_distillation
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
uni-medical/SAM-Med3D
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
hitachinsk/SAMed
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
MrBlankness/LightM-UNet
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
xmindflow/Awesome-Foundation-Models-in-Medical-Imaging
A curated list of foundation models for vision and language tasks in medical imaging
luanyunteng/pytorch-be-your-own-teacher
A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094
xmed-lab/GenericSSL
NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
MIC-DKFZ/Skeleton-Recall
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
xmed-lab/AllSpark
CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
xmed-lab/TriALS
MICCAI 2024: nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for segmentation challenges.
xmed-lab/DHC
MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
VaticanCameos99/knowledge-distillation-for-unet
An implementation of Knowledge distillation for segmentation, to train a small (student) UNet from a larger (teacher) UNet thereby reducing the size of the network while achieving performance similar to the heavier model.
Herschel555/CAML
repository for CAML: Correlation-aware mutual learning for semi-supervised medical image segmentation
samleoqh/Viola-Unet
Viola : robust and accurate segmentation and quantification of various types of intracranial hemorrhage on 3D CT scans
laihaoran/Semi-Supervised-nnUNet
This is a nnUNet for semi-supervised
risc-mi/braintumor-ddpm
Using learned visual representations from diffusion models for brain tumor segmentation.
albertclerigues/stroke-core-ct-segmentation
Docker for running stroke lesion core segmentation
RISE-MICCAI/FIFAI-Summer-School-2024
"Fair Federated AI" Summer School, July 19-21, 2024; 16:00 — 19:30 CET time
sergivalverde/mri_utils
Image processing utils for brain MRI
Likalto4/diffusion-models_master
This repository contains the code derived from the writing of the master thesis project on mammographic image generation using diffusion models.
yhuang1997/3D-CPS
MoriiHuang/nnUNet-UAMT-DA-GRADCAM
nnUNet with semi-supervised method(UA_MT),distance oriented attention model and grad-cam