This repository contains the code used for the paper "Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge "
ADAM challenge submission in MICCAI 2020, from the Kubiac team
(alpha release) building an open-source dataset & community towards aneurysm research
DenseNet based Aneurysm Detection in TOF MRI-Images
EndoDraft is a lightweight, standalone surgical planning software designed to assist interventional radiologists and vascular surgeons in planning physician-modified endografts (PMEGs). It enables precise design of fenestration locations, visual feedback in 2D/3D, and exports print-ready plans for intraoperative use.
A deep learning application that achieves brains with cancer, tumors, and aneurysms.
NeuroSolve is the open-source implementation of NeuroCFD
Assessing the computational reproducibility of Kim et al. 2021 as part of STARS.
Modelling fluid flow through porous media using the lattice Boltzmann method
A segmentation network for intracranial aneurysm on TOF-MRA images using PyTorch
Case definitions, validation table, and entry-point scripts for 'Functional and Ethical Modeling of Non-Newtonian Hemodynamics in Aneurysmal and Bifurcated Vessels Using PINNs' (Scientific Culture, Oct 2025). Not a full reproduction — see Status.
Aneurysm Segmentation with 3DUnet
Association with the University of Dundee in the school of biomedical engineering
See how each Artisse device's deployed height changes with compression, or enter a measured aneurysm and let the tool flag every device whose compressed shape fits.
End-to-end automated ML pipeline predicting cerebral aneurysm rupture risk in 24 minutes at zero cost, with patient-specific SHAP explanations. AUC 0.834. 1st in Biomedical Engineering Research @ SV, 5th Medicine Research @ CSEF 2026.
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