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batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

bengali

This project employs Convolutional Neural Networks to decipher Bengal graphemes, as part of the Bengali.AI challenge on Kaggle, https://www.kaggle.com/c/bengaliai-cv19.

boltzmannmachinelearning

Implementation of the Boltzmann Machine Learning rules, to learn the dynamics of groups of neurons.

carcassonne-ai

convexadam

diag-nndet

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

fastmriweb

hamlyn2021

Mini project for Hamlyn Winter School on Surgical Imaging and Vision (2021)

m5forecast

Implementation of M5 Forecasting challenge on Kaggle, https://www.kaggle.com/c/m5-forecasting-accuracy/.

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

particleprocessdiscriminator

Discriminate between particle events involving 4 top quarks or a top and antitop quark, based on LHC-like measurements.

picai_baseline

Baseline AI models for 3D csPCa detection/diagnosis in bpMRI

picai_prep

Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.

suspect

MRS processing tools

v227

Proceedings of Medical Imaging with Deep Learning 2023

website-content

This repository stores all the content for the diag websites.