Alternatives and similar repositories for MoME:

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

• YutingHe-list / GVSL
  ☆58Updated last year
• xzluo97 / Continual-Reg
  Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning (MICCAI 2024)
  ☆14Updated 6 months ago
• MediaBrain-SJTU / BE-SSL
  Codes for our paper "Boundary-Enhanced Self-Supervised Learningfor Brain Structure Segmentation"
  ☆23Updated 2 years ago
• HiLab-git / UPL-SFDA
  ☆25Updated 3 months ago
• yyNoBug / VAE_segmentation
  Code of the paper Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.
  ☆15Updated 2 years ago
• HengCai-NJU / 3D2DCT
  ☆16Updated last year
• MrGiovanni / SimSID
  [IEEE TPAMI] Anomaly Detection in Chest X-ray
  ☆18Updated 7 months ago
• PengchengShi1220 / NexToU
  NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation
  ☆65Updated last month
• yaoppeng / TopoClassification
  ☆25Updated last year
• Luoxd1996 / HaN5K
  [In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than …
  ☆15Updated last year
• FengheTan9 / HySparK
  [MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
  ☆13Updated 3 months ago
• med-air / GazeMedSeg
  [MICCAI'24] Weakly-supervised Medical Image Segmentation with Gaze Annotations
  ☆24Updated 7 months ago
• yhygao / universal-medical-image-segmentation
  ☆65Updated 9 months ago
• ShumengLI / PLN
  ☆11Updated 2 years ago
• alibaba-damo-academy / pixel-lesion-patient-network
  ☆31Updated last year
• cchen-cc / PMKL
  ☆16Updated 2 years ago
• BWGZK / ShapePU
  [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
  ☆35Updated 2 years ago
• charlesyou999648 / ARCO
  [NeurIPS'23] Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
  ☆24Updated 3 months ago
• ShishuaiHu / CCSDG
  Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.
  ☆28Updated last year
• CityU-AIM-Group / SFDA-FSM
  [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining
  ☆43Updated last year
• FupingWu90 / MERU
  Semi-Supervised-Learning
  ☆12Updated 2 years ago
• xhu248 / cond_ddpm_wsss
  ☆43Updated last year
• whq-xxh / SFADA-GTV-Seg
  (TMI-2024) Source-Free Active Domain Adaptation (SFADA) for GTV Segmentation across Multiple Hospitals
  ☆33Updated 2 months ago
• xmed-lab / FSDiffReg
  MICCAI 2023: FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
  ☆33Updated last year
• DuYooho / ArSDM
  [MICCAI-2023] ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
  ☆33Updated last year
• cherise215 / MaxStyle
  [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
  ☆33Updated 2 years ago
• WinstonHuTiger / 2D_VAE_UDA_for_3D_sythesis
  Pytorch implementation of MICCAI-2022 paper, Domain-adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach https://arxiv…
  ☆20Updated 2 years ago
• Luoxd1996 / RAOS
  [MICCAI2024] Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging …
  ☆39Updated 7 months ago
• tomeramit / Annotator-Consensus-Prediction
  ☆23Updated last year
• shangqigao / BayeSeg
  The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmen…
  ☆40Updated 2 years ago