Alternatives and similar repositories for UCVME:

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

• xmed-lab / CLSS
  NeurIPS 2023: Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
  ☆9Updated 2 weeks ago
• xinyuewangg / DGCMM
  ☆14Updated 3 years ago
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 3 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆56Updated 6 years ago
• BorealisAI / ConR
  Contrastive Regularizer
  ☆10Updated last year
• HaifengXia / IDG
  This work studies imbalanced domain generalization.
  ☆12Updated 2 years ago
• bcaosudo / AE-GAN
  AE-GAN
  ☆22Updated last year
• sofiendhouib / MADAOT
  Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper
  ☆16Updated 3 years ago
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆54Updated 2 years ago
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆49Updated 2 years ago
• XJTU-XGU / ARPM
  Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
  ☆13Updated 10 months ago
• HReynaud / UVT
  MICCAI 2021 Code for the paper: Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
  ☆37Updated 3 years ago
• WeijiaZhang24 / CausalMIL
  Multi-Instance Causal Representation Learning
  ☆16Updated 5 months ago
• med-air / DLTTA
  [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
  ☆18Updated 2 years ago
• needylove / PH-Reg
  The code of "Deep Regression Representation Learning with Topology" in ICML 2024
  ☆12Updated 9 months ago
• ThierryJudge / CRISP-uncertainty
  ☆10Updated 2 years ago
• SJTUBME-QianLab / AutoMetricGNN
  ☆21Updated 3 years ago
• Binz-Chen / MICCAI2023_SSCL
  ☆14Updated last year
• vios-s / disentanglement_tutorial
  This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…
  ☆62Updated 2 years ago
• ShishuaiHu / DCAC
  Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
  ☆35Updated 2 years ago
• ismailnejjar / DARE-GRAM
  [CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices
  ☆53Updated last year
• snowood1 / wenn
  Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
  ☆16Updated 3 years ago
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆44Updated last year
• KarryRen / UML
  【MICCAI 2023】"Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation".
  ☆26Updated 11 months ago
• Wangrui-berry / Cross-attention
  Cross-Attention Guided Loss-Based Deep Dual-Branch Fusion Network for Liver Tumor Classification
  ☆11Updated 6 months ago
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆48Updated last year
• mathilde-b / SFDA
  Source-Free Domain Adaptation
  ☆41Updated last year
• rongzhou7 / ADCCA
  ☆11Updated 5 months ago
• hathawayxxh / CRCKD
  The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)
  ☆18Updated 3 years ago