CCI-Bonn

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-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-SEQ-ID

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

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-MS-Lesions

Automated deep learning based segmentation of multiple sclerosis lesions on MRI

HD-BM

Automated deep-learning based segmentation of brain metastases on MRI

dCNN-MRI-Reconstruction

Code for MR Image reconstruction using physics-based neural network

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.

CCI-Bonn.github.io

Lab website

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