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.
Assessing the computational reproducibility of Kim et al. 2021 as part of STARS.
NeuroSolve is the open-source implementation of NeuroCFD
In-silico vascular research platform for virtual cardiovascular populations.
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.
Modelling fluid flow through porous media using the lattice Boltzmann method
A segmentation network for intracranial aneurysm on TOF-MRA images using PyTorch
Aneurysm Segmentation with 3DUnet
Weakly annotate aneurysms in 3D Slicer with two clicks — a sphere from a pair of points, for building detection datasets without segmentation.
Patient-grouped aneurysm rupture classification, generalization across datasets and anatomical locations, and FEM-informed hemodynamic modeling.
Review AI-detected aneurysm candidates in 3D Slicer — verdicts, rejection reasons, sign-off and provenance for clinical validation studies.
Research on cerebral aneurysm rupture classification using vascular geometry, hemodynamics, clinical variables, and deep learning.
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