Alternatives and similar repositories for ModDropPlusPlus

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

• hbliu98 / CLFC-Brain-Tumor-Segmentation
  Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images
  ☆23Updated 3 years ago
• The-Veeraraghavan-Lab / SMIT
  Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al
  ☆30Updated 2 years ago
• moucheng2017 / EM-BPL-Semi-Seg
  [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
  ☆40Updated 8 months ago
• kaland313 / SSL-MedSeg
  Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"
  ☆48Updated last year
• Cocofeat / DEviS
  【IEEE TCYB 2025】Towards Reliable Medical Image Segmentation by Modelling Evidential Calibrated Uncertainty
  ☆32Updated last year
• neuronflow / blob_loss
  blob loss example implementation
  ☆36Updated last year
• HiLab-git / PA-Seg
  PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillatio…
  ☆23Updated 2 years ago
• Cocofeat / TBraTS
  【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"
  ☆58Updated 2 years ago
• rezazad68 / smunet
  SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
  ☆35Updated 3 years ago
• PengchengShi1220 / cbDice
  [MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation
  ☆80Updated last month
• Dootmaan / PFSeg
  Patch-free 3D Medical Image Segmentation
  ☆36Updated 4 years ago
• HiLab-git / PyMIC_examples
  examples of using PyMIC for medical image computing with deep learning
  ☆34Updated last year
• xmed-lab / DHC
  MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
  ☆65Updated last year
• by-liu / SegLossBias
  Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.…
  ☆42Updated 2 years ago
• himashi92 / Co-BioNet
  [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…
  ☆76Updated 2 years ago
• MIC-DKFZ / MultiTalent
  Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
  ☆62Updated 5 months ago
• BWGZK / ShapePU
  [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation
  ☆37Updated 3 years ago
• siyi-wind / MDViT
  [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)
  ☆42Updated 2 years ago
• poiuohke / UDC-Net
  Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images
  ☆28Updated 4 years ago
• Kent0n-Li / GT-U-Net
  ☆38Updated 3 years ago
• Digital-Dermatology / t-loss
  Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
  ☆56Updated 2 years ago
• pfrwilson / prostNfound
  Prostate cancer detection from ultrasound using foundation models and domain knowledge
  ☆14Updated 6 months ago
• fitushar / WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
  This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolu…
  ☆25Updated 5 years ago
• hritam-98 / ICT-MedSeg
  Code implementation for our paper ACCEPTED in ISBI, 2022
  ☆40Updated 3 years ago
• YaoZhang93 / MAML
  [MICCAI 2021] The official code for "Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation"
  ☆49Updated 3 years ago
• ThierryJudge / CRISP-uncertainty
  ☆10Updated 3 years ago
• xmindflow / SSL-contrastive
  [ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
  ☆25Updated 2 years ago
• yhygao / universal-medical-image-segmentation
  ☆78Updated last year
• DIAGNijmegen / picai_labels
  Annotations for the PI-CAI Challenge: Public Training and Development Dataset
  ☆68Updated 6 months ago
• ge-xing / HybridMIM
  HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
  ☆23Updated 2 years ago