Intracranial Aneurysm

Intracranial aneurysms (IAs) are abnormal bulges in brain blood vessels, posing a significant risk of rupture and life-threatening hemorrhage. Current research heavily emphasizes the development and application of artificial intelligence, particularly deep learning models like UNets and Transformers, for improved IA detection, segmentation, and rupture risk prediction from medical images (e.g., 3D TOF-MRI). These AI-driven approaches aim to enhance diagnostic accuracy, streamline clinical workflows, and ultimately improve patient outcomes by facilitating earlier and more precise interventions. The use of synthetic data and weakly supervised learning techniques are also actively explored to address challenges related to data scarcity and annotation costs.

Papers

September 30, 2024

Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning
Pradyumna Elavarthi, Anca Ralescu, Mark D. Johnson, Charles J. Prestigiacomo
Machine Learning Random Forest Support Vector Machine High Quality Risk Description Fractal Dimension Intracranial Aneurysm Different Machine Learning

August 30, 2024

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI
Ashraya K. Indrakanti, Jakob Wasserthal, Martin Segeroth, Shan Yang, Victor Schulze-Zachau, Joshy Cyriac, Michael Bach, Marios Psychogios, Matthias A. Mutke
Data Centric Differential Diagnosis Volumetric Segmentation Intracranial Aneurysm Cerebral Microbleeds Tof Mra

March 27, 2024

A vascular synthetic model for improved aneurysm segmentation and detection via Deep Neural Networks
Rafic Nader, Florent Autrusseau, Vincent L'Allinec, Romain Bourcier
Deep Neural Network Data Detection Synthetic 3D Vascular Model Cerebrovascular Segmentation Synthetic Model Intracranial Aneurysm

August 29, 2023

Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis
Rafic Nader, Romain Bourcier, Florent Autrusseau
Deep Learning Automatic Detection Bifurcation Diagram Green CIRCLe Intracranial Aneurysm

August 6, 2023

Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet
Amirhossein Rasoulian, Arash Harirpoush, Soorena Salari, Yiming Xiao
Cerebrovascular Segmentation Focal Modulation Intracranial Aneurysm

March 16, 2023

Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery
Jinfan Zhou, William Muirhead, Simon C. Williams, Danail Stoyanov, Hani J. Marcus, Evangelos B. Mazomenos
Transformer Megatron Decepticons Data Detection Surgical Video Open Surgery Cerebrovascular Segmentation Intracranial Aneurysm

November 18, 2022

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms
Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi
Multiple Outcome Accurate Treatment Intracranial Aneurysm Intravascular Ultrasound

July 27, 2022

Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks
Kimberley M. Timmins, Maarten J. Kamphuis, Iris N. Vos, Birgitta K. Velthuis, Irene C. van der Schaaf, Hugo J. Kuijf
Mesh Ratio Intracranial Aneurysm Mesh Convolution

May 10, 2022

Automatic Detection of Microaneurysms in OCT Images Using Bag of Features
Elahe Sadat Kazemi Nasab, Ramin Almasi, Bijan Shoushtarian, Ehsan Golkar, Hossein Rabbani
Optical Coherence Tomography Feature Wise Automatic Detection Diabetic Retinopathy Retinal Vessel Bag Prototype Intracranial Aneurysm

January 6, 2022

3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning
Di Shao, Xuequan Lu, Xiao Liu
Point Cloud Segmentation Based Approach Unsupervised Method Dual Branch Dual Contrastive Learning State of the Art Unsupervised Intracranial Aneurysm

Intracranial Aneurysm

Papers

Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI

A vascular synthetic model for improved aneurysm segmentation and detection via Deep Neural Networks

Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis

Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet

Shifted-Windows Transformers for the Detection of Cerebral Aneurysms in Microsurgery

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms

Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks

Automatic Detection of Microaneurysms in OCT Images Using Bag of Features

3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning