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    • A collection of deployment ready machine learning tools developed by CAAI. Each model is packaged in rh-node to enable easy deployment with docker
      Python
      0120Updated Nov 13, 2024Nov 13, 2024
    • Python
      1110Updated Oct 31, 2024Oct 31, 2024
    • rh-report

      Public
      Lightweight PDF report generation
      Python
      MIT License
      0000Updated Sep 27, 2024Sep 27, 2024
    • rh-queue

      Public
      Python
      1000Updated Sep 19, 2024Sep 19, 2024
    • rh-node

      Public
      rh-node
      Python
      0041Updated Sep 13, 2024Sep 13, 2024
    • DeepMRAC

      Public
      Deep learning based peudoCT generation from MRI
      Python
      0610Updated May 22, 2024May 22, 2024
    • Denoises PE2I lowdose PET data
      Python
      1100Updated Sep 25, 2023Sep 25, 2023
    • AIMS

      Public
      Automatic MS lesion delineation model. nnU-Net trained on 549 clinical patientients
      Python
      0100Updated Sep 1, 2023Sep 1, 2023
    • zerodose

      Public
      zerodose
      Python
      MIT License
      0609Updated Aug 21, 2023Aug 21, 2023
    • amyloidAI

      Public
      Estimation of brain amyloid accumulation using deep learning in clinical [11C]PiB PET imaging
      Python
      1100Updated Jul 14, 2023Jul 14, 2023
    • Code used in relation to the neurodegenerative disorder study with [11C]PiB and [18F]FE-PE2I tracers (2022). Image preparation, model inference and metrics extraction.
      Python
      0300Updated Jun 22, 2023Jun 22, 2023
    • rh-torch

      Public
      Shared scripts for training deep learning networks in torch
      Python
      1010Updated Jun 20, 2023Jun 20, 2023
    • HD-CTBET

      Public
      MRI brain extraction tool
      Python
      Apache License 2.0
      67400Updated Jun 8, 2023Jun 8, 2023
    • Clinical evaluation of deep learning for tumour delineation on [18F]FDG-PET/CT of head and neck cancer
      Jupyter Notebook
      Apache License 2.0
      2500Updated Jun 7, 2023Jun 7, 2023
    • Clinical evaluation of deep learning for tumour delineation on [18F]FDG-PET/CT of head and neck cancer
      Apache License 2.0
      0000Updated Dec 19, 2022Dec 19, 2022
    • Deep medic adapted to be used with PET-CT segmentation tasks
      Python
      BSD 3-Clause "New" or "Revised" License
      0000Updated Aug 16, 2022Aug 16, 2022
    • My adaptation of Tureckova's attention-gated nnUNet method to work with PET-CT data.
      Python
      Apache License 2.0
      0100Updated Aug 16, 2022Aug 16, 2022
    • My additions and changes to nnUNet (my changes were eventually unused - this is mostly uploaded to document version I used)
      Python
      Apache License 2.0
      0000Updated Aug 16, 2022Aug 16, 2022
    • Python
      Apache License 2.0
      0000Updated Aug 16, 2022Aug 16, 2022
    • Python
      MIT License
      0000Updated Aug 10, 2022Aug 10, 2022
    • mr-check

      Public
      TypeScript
      0000Updated Apr 27, 2021Apr 27, 2021
    • CNN

      Public
      Python
      1002Updated May 28, 2020May 28, 2020