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    • Github Pages for vios group, forked from mmistakes/minimal-mistakes
      SCSS
      44k100Updated Oct 28, 2024Oct 28, 2024
    • Inference code for EDIPO group participating in CMRxRECON challenge by MICCAI
      Python
      MIT License
      0502Updated Oct 16, 2024Oct 16, 2024
    • BMFT

      Public
      Python
      0100Updated Jul 25, 2024Jul 25, 2024
    • Python
      0000Updated Jun 30, 2024Jun 30, 2024
    • Machine Unlearning on MRI Reconstruction Task
      Jupyter Notebook
      0000Updated Jun 18, 2024Jun 18, 2024
    • Jupyter Notebook
      MIT License
      1100Updated May 27, 2024May 27, 2024
    • Office code for "Inference Stage Denoising for Undersampled MRI Reconstruction"
      Python
      1300Updated Feb 15, 2024Feb 15, 2024
    • Code for 'Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction' in FAIMI 2023 of MICCAI
      Python
      0000Updated Sep 25, 2023Sep 25, 2023
    • Python
      1210Updated Aug 10, 2023Aug 10, 2023
    • Diff-SCM

      Public
      Code for Diff-SCM paper
      Python
      Apache License 2.0
      119400Updated Jun 7, 2023Jun 7, 2023
    • DiffAN

      Public
      Diffusion Models for Causal Discovery
      Python
      GNU General Public License v3.0
      138020Updated Mar 17, 2023Mar 17, 2023
    • This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.
      85800Updated Sep 16, 2022Sep 16, 2022
    • vMFNet

      Public
      vMFNet: Compositionality Meets Domain-generalised Segmentation
      Python
      MIT License
      31530Updated Aug 5, 2022Aug 5, 2022
    • HTML
      Apache License 2.0
      0000Updated Dec 23, 2021Dec 23, 2021
    • DGNet

      Public
      Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
      Python
      73500Updated Nov 2, 2021Nov 2, 2021
    • This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [link]. The two metrics can be used to assess the level of disentanglement between spatial content and vector style representations. Both metrics are ready to use with PyTorch and TensorFlow implementations.
      Python
      MIT License
      22220Updated Oct 16, 2021Oct 16, 2021
    • HTML
      Apache License 2.0
      0000Updated Oct 9, 2021Oct 9, 2021
    • This repository has been created to improve the young researchers' experience when using cardiac data for any medical imaging application. It consists of transformers that reorganize a DICOM-based dataset into traditional image dataset structure for better dataloader exploitation.
      Python
      MIT License
      11010Updated Jul 20, 2021Jul 20, 2021
    • DAA-GAN

      Public
      Controllable cardiac synthesis via disentangled anatomy arithmetic
      Python
      2500Updated Jul 4, 2021Jul 4, 2021
    • Project page of the paper: "Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates", by Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris (2021) IEEE TMI
      HTML
      Apache License 2.0
      1100Updated Apr 22, 2021Apr 22, 2021
    • Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation
      Python
      MIT License
      41600Updated Sep 26, 2020Sep 26, 2020
    • inside

      Public
      INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs
      Python
      Apache License 2.0
      2000Updated Sep 25, 2020Sep 25, 2020
    • Python
      3000Updated Sep 18, 2020Sep 18, 2020
    • This is the project about simulating the ageing brain.
      Python
      9400Updated Sep 9, 2020Sep 9, 2020
    • MFU-Net

      Public
      MFU-Net
      Python
      4100Updated Sep 1, 2020Sep 1, 2020
    • APDNet

      Public
      APD-Net
      Python
      1000Updated Aug 27, 2020Aug 27, 2020
    • Python
      4000Updated Jul 1, 2020Jul 1, 2020
    • SDNet Keras implementation
      Python
      5000Updated May 22, 2020May 22, 2020
    • Code for the paper Leveraging multiple datasets for deep leaf counting.
      Python
      Apache License 2.0
      5000Updated Mar 6, 2020Mar 6, 2020
    • The code for the Doing More With Less: A Multi-Task Deep Learning Approach in Plant Phenotyping paper, Frontiers in Plant Science
      Python
      MIT License
      5000Updated Jan 10, 2020Jan 10, 2020