Pinned Repositories
dCNN-MRI-Reconstruction
Code for MR Image reconstruction using physics-based neural network
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
www.ccibonn.ai's Repositories
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.
CCI-Bonn/HD-GLIO
Automated deep-learning based brain tumor segmentation on MRI
CCI-Bonn/HD-GLIO-AUTO
Automated processing of MRI in neuro-oncology (combining HD-BET, image co-registration, and HD-GLIO in one container)
CCI-Bonn/HD-SEQ-ID
HD-SEQ-ID: HD Sequence Identifier for brain MRI
CCI-Bonn/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.
CCI-Bonn/HD-MS-Lesions
Automated deep learning based segmentation of multiple sclerosis lesions on MRI
CCI-Bonn/HD-BM
Automated deep-learning based segmentation of brain metastases on MRI
CCI-Bonn/dCNN-MRI-Reconstruction
Code for MR Image reconstruction using physics-based neural network
CCI-Bonn/HD-GLIOMOUSE
CCI-Bonn/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/CCI-Bonn.github.io
Lab website
CCI-Bonn/demoweb
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