Clinically Applied Artificial Intelligence

zerodose

zerodose

hnc-tumour-seg

Clinical evaluation of deep learning for tumour delineation on [18F]FDG-PET/CT of head and neck cancer

DeepMRAC

Deep learning based peudoCT generation from MRI

brainPETNR

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.

HD-CTBET

MRI brain extraction tool

AIMS

Automatic MS lesion delineation model. nnU-Net trained on 549 clinical patientients

amyloidAI

Estimation of brain amyloid accumulation using deep learning in clinical [11C]PiB PET imaging

PE2I_denoiser

Denoises PE2I lowdose PET data

rh-scripts

tureckova-DGK

My adaptation of Tureckova's attention-gated nnUNet method to work with PET-CT data.

auto_tumour_seg

Clinical evaluation of deep learning for tumour delineation on [18F]FDG-PET/CT of head and neck cancer

CNN

deepmedic_DGK

Deep medic adapted to be used with PET-CT segmentation tasks

mr-check

rh-node

rh-node

rh-queue

rh-torch

Shared scripts for training deep learning networks in torch

SwinUNETR-DGK

Adapted from https://github.com/Project-MONAI/research-contributions/tree/main/SwinUNETR/BTCV

InnerEye-DeepLearning-DGK

Adapted from https://github.com/microsoft/InnerEye-DeepLearning

nnUNet-DGK

My additions and changes to nnUNet (my changes were eventually unused - this is mostly uploaded to document version I used)

rh-library

A collection of deployment ready machine learning tools developed by CAAI. Each model is packaged in rh-node to enable easy deployment with docker