Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks

Machine Learning–Based Prediction of Small Intracranial Aneurysm Rupture Status Using CTA-Derived Hemodynamics: A Multicenter Study

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An Artificial-intelligence Lung Imaging Analysis System (ALIAS) for Population-based Nodule Computing in CT Scans

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A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance

(2020) Bio Joo et al.   EUROPEAN RADIOLOGY

Deep Learning for Detecting Cerebral Aneurysms with CT Angiography

(2020) Jiehua Yang et al.   RADIOLOGY

A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

(2020) Zhao Shi et al.   Nature Communications

Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Computer-Assisted Detection of Cerebral Aneurysms in MR Angiography in a Routine Image-Reading Environment: Effects on Diagnosis by Radiologists

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Guidelines for the Management of Patients With Unruptured Intracranial Aneurysms

(2015) B. Gregory Thompson et al.   STROKE

Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves

(2014) Xu Sun et al.   IEEE SIGNAL PROCESSING LETTERS

A system to detect cerebral aneurysms in multimodality angiographic data sets

(2014) Clemens M. Hentschke et al.   MEDICAL PHYSICS

Intracranial Aneurysms in Patients with Subarachnoid Hemorrhage: CT Angiography as a Primary Examination Tool for Diagnosis—Systematic Review and Meta-Analysis

(2010) Henriëtte E. Westerlaan et al.   RADIOLOGY

Automated detection of intracranial aneurysms based on parent vessel 3D analysis

(2009) Alexandra Lauric et al.   MEDICAL IMAGE ANALYSIS