tueimage / SE2CNN

Related projects ⓘ

Alternatives and complementary repositories for SE2CNN

• simongraham / dsf-cnn
  Dense Steerable Filter CNN
  ☆74Updated 2 years ago
• DIAGNijmegen / neural-odes-segmentation
  Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
  ☆106Updated 4 years ago
• tanyanair / segmentation_uncertainty
  ☆84Updated 6 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆65Updated 4 years ago
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 5 years ago
• evanmy / sae
  Accepted in MIDL 2020
  ☆32Updated 3 years ago
• basveeling / keras-gcnn
  Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivar…
  ☆85Updated 4 years ago
• adambielski / pytorch-gconv-experiments
  Experiments with Group Equivariant Convolutions in PyTorch
  ☆110Updated last year
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆84Updated 4 months ago
• SamuelJoutard / Permutohedral_attention_module
  ☆29Updated 3 years ago
• raghavian / cFlow
  This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…
  ☆30Updated 2 years ago
• idiap / attention-sampling
  This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…
  ☆98Updated 5 years ago
• MIC-DKFZ / probabilistic_unet
  A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
  ☆23Updated 5 years ago
• ai-med / nn-common-modules
  Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
  ☆32Updated 3 years ago
• HaipengXiong / weighted-hausdorff-loss
  A loss function (Weighted Hausdorff Distance) for object localization in PyTorch
  ☆88Updated 6 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆48Updated 3 years ago
• duducheng / Learning-Notes
  Notes and resources on Machine Learning
  ☆55Updated 3 years ago
• stefanknegt / Probabilistic-Unet-Pytorch
  A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
  ☆272Updated 5 years ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆61Updated 3 months ago
• jeanfeydy / lddmm-ot
  MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration
  ☆53Updated 5 years ago
• jongcye / CNN_MumfordShah_Loss
  ☆34Updated 4 years ago
• rodsom22 / gcn_refinement
  ☆36Updated last year
• pfnet-research / label-efficient-brain-tumor-segmentation
  ☆21Updated 4 years ago
• pianoza / LayerEnsembles
  The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).
  ☆26Updated 2 years ago
• baumgach / PHiSeg-code
  Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
  ☆123Updated last year
• jysonganan / DeepLearningSurvival
  PyTorch implementation of Deep Survival Models.
  ☆17Updated 6 years ago
• NKI-AI / ece_loss
  A PyTorch implementation of the Exclusive Cross Entropy Loss.
  ☆19Updated 2 years ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆88Updated 5 years ago
• UK-Digital-Heart-Project / 4Dsegment
  ☆25Updated 4 years ago