Alternatives and similar repositories for bcnn

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

• yuta-hi / pytorch_bayesian_unet
  Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
  ☆59Updated 5 years ago
• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆137Updated 5 years ago
• tha-santacruz / BayesianUNet
  Pytorch Bayesian UNet model for segmentation and uncertainty prediction
  ☆24Updated 2 years ago
• baumgach / PHiSeg-code
  Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
  ☆127Updated 2 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 5 years ago
• yuta-hi / keras_bayesian_unet
  Bayesian U-Net for Keras
  ☆11Updated 5 years ago
• junyuchen245 / Unsuprevised_Seg_via_CNN
  An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)
  ☆70Updated 3 years ago
• yuta-hi / bayesian_unet
  Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
  ☆49Updated 4 years ago
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆110Updated 5 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• pianoza / LayerEnsembles
  The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).
  ☆26Updated 2 years ago
• HaipengXiong / weighted-hausdorff-loss
  A loss function (Weighted Hausdorff Distance) for object localization in PyTorch
  ☆91Updated 6 years ago
• trypag / pytorch-unet-segnet
  Pytorch code for Unet and SegNet architectures
  ☆65Updated 6 years ago
• tanyanair / segmentation_uncertainty
  ☆84Updated 6 years ago
• tueimage / SE2CNN
  ☆66Updated 6 years ago
• arbellea / LSTM-UNet
  ☆85Updated 5 years ago
• robinvvinod / unet
  Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided
  ☆68Updated 4 years ago
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 5 years ago
• fepegar / unet
  "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
  ☆167Updated 6 months ago
• seb5666 / cnn_gaussian_process_uncertainty
  Use Gaussian processes to estimate CNN classification uncertainty
  ☆12Updated 7 years ago
• taoroalin / WNet
  ☆23Updated 3 years ago
• stefanknegt / Probabilistic-Unet-Pytorch
  A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
  ☆283Updated 6 years ago
• ai-med / nn-common-modules
  Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
  ☆33Updated 4 years ago
• evanmy / sae
  Accepted in MIDL 2020
  ☆32Updated 4 years ago
• rodsom22 / gcn_refinement
  ☆36Updated 2 years ago
• JunMa11 / MedUncertainty
  Uncertainty in Medical Image Analysis
  ☆315Updated 3 years ago
• Ramesh-X / Level-Set
  Level Set algorithm for python
  ☆200Updated 4 years ago
• jinh0park / pytorch-ssim-3D
  pytorch structural similarity (SSIM) loss for 3D images
  ☆72Updated 5 years ago
• Era-Dorta / tf_mvg
  Multivariate Gaussian distributions for Tensorflow.
  ☆23Updated 5 years ago
• HuXiaoling / TopoLoss
  Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation
  ☆168Updated last year