Alternatives and similar repositories for AnatPaste:

Users that are interested in AnatPaste are comparing it to the libraries listed below

• CityU-AIM-Group / MultiModal-learning
  ☆30Updated last year
• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 3 years ago
• TiagoFilipeSousaGoncalves / survey-attention-medical-imaging
  Implementation of the paper "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?" by Tiag…
  ☆13Updated 2 years ago
• FBLADL / NVUM
  Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]
  ☆12Updated 2 years ago
• ci-ber / RA
  Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. #MIDL2023.
  ☆22Updated last year
• iolag / UPD_study
  This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.
  ☆23Updated 11 months ago
• Digital-Dermatology / t-loss
  Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
  ☆48Updated last year
• xmengli / Rotation-oriented-self-supervised
  IEEE TMI 2021
  ☆17Updated 2 years ago
• faresmalik / SEViT
  Source code for MICCAI 2022 paper entitled: 'Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification'
  ☆35Updated 2 years ago
• stanfordmlgroup / MoCo-CXR
  MoCo-based unsupervised training for Chest X-Ray Interpretation
  ☆42Updated 3 years ago
• joanaapa / Foundation-Medical
  ☆19Updated last year
• jusiro / constrained_anomaly_segmentation
  [MedIA'22] Constrained unsupervised anomaly segmentation.
  ☆19Updated last year
• jlianglab / CAiD
  Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 20…
  ☆10Updated 2 years ago
• med-air / DiffusionMLS
  [IPMI'23] Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
  ☆12Updated last year
• wllfore / MedFMC_fewshot_baseline
  Implementation of few-shot baseline for MedFMC
  ☆16Updated last year
• liupei101 / PseMix
  [IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
  ☆51Updated 2 weeks ago
• fhaghighi / DiRA
  Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysi…
  ☆101Updated 10 months ago
• YtongXie / UniMiSS-code
  [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+
  ☆62Updated 3 months ago
• Stomper10 / CheXpert
  Reproducing CheXpert paper using the PyTorch library.
  ☆38Updated last year
• kaland313 / SSL-MedSeg
  Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"
  ☆43Updated last year
• StefanoWoerner / medimeta-pytorch
  The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…
  ☆39Updated 9 months ago
• greentreeys / MIL-VT
  ☆54Updated 3 years ago
• StarUniversus / gcmae
  PyTorch implementation of GCMAE
  ☆35Updated 7 months ago
• siyi-wind / MDViT
  [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)
  ☆37Updated last year
• VITA-Group / CheXT
  ☆19Updated 2 years ago
• LightersWang / BiomedCLIP-LoRA
  Pytorch implementation of BiomedCLIP vision model with LoRA tuning
  ☆29Updated last year
• SiyuanYan1 / EPVT-and-Skin-DG-benchamrk
  Domain generalization benchmark for skin lesion recognition, MICCAI 2023
  ☆18Updated last year
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• MLNeurosurg / hidisc
  ☆17Updated last year
• neerakara / test-time-adaptable-neural-networks-for-domain-generalization
  Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"
  ☆46Updated 4 years ago