cci-bonn Goto Github PK

cci-bonn.github.io

Lab website

dcnn-mri-reconstruction

Code for MR Image reconstruction using physics-based neural network

demoweb

test

hd-bet

Automated deep-learning based brain extraction applicable to a broad range of MRI sequence types and with robust performance even in the presence of pathology or treatment-induced tissue alterations.

hd-bm

Automated deep-learning based segmentation of brain metastases on MRI

hd-glio

Automated deep-learning based brain tumor segmentation on MRI

hd-glio-auto

Automated processing of MRI in neuro-oncology (combining HD-BET, image co-registration, and HD-GLIO in one container)

hd-glio-xnat

Automated processing tool for MRI in neuro-oncology (brain tumor segmentation, volumetric tumor response assessment) provided as Container Service Plugin for XNAT, enabling integration in existing radiological infrastructures.

hd-gliomouse

hd-ms-lesion-detection

This project includes a CNN-based algorithm for automatic detection of new MS lesions on FLAIR MRI data and a CGAN based approach for data augmentation.

hd-ms-lesions

Automated deep learning based segmentation of multiple sclerosis lesions on MRI

hd-seq-id

HD-SEQ-ID: HD Sequence Identifier for brain MRI