Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives

Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging

(2019) Tara A. Retson et al.   JOURNAL OF THORACIC IMAGING

Artificial Intelligence in Cardiovascular Imaging

(2019) Damini Dey et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

(2019) Mohammad Hesam Hesamian et al.   JOURNAL OF DIGITAL IMAGING

Machine Learning Analysis of Matricellular Proteins and Clinical Variables for Early Prediction of Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage

(2019) Satoru Tanioka et al.   MOLECULAR NEUROBIOLOGY

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features

(2019) QingLin Liu et al.   STROKE

Machine learning models can detect aneurysm rupture and identify clinical features associated with rupture

(2019) Michael A. Silva et al.   World Neurosurgery

Comparison of statistical learning approaches for cerebral aneurysm rupture assessment

(2019) Felicitas J. Detmer et al.   International Journal of Computer Assisted Radiology and Surgery

Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network

(2018) Jinjin Liu et al.   EUROPEAN RADIOLOGY

Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission

(2018) Christian Rubbert et al.   EUROPEAN RADIOLOGY

Reinventing Radiology

(2018) Michael A. Morris et al.   JOURNAL OF THORACIC IMAGING

Shared and Distinct Rupture Discriminants of Small and Large Intracranial Aneurysms

(2018) Nicole Varble et al.   STROKE

A Highly Automated Computational Method for Modeling of Intracranial Aneurysm Hemodynamics

(2018) Jung-Hee Seo et al.   Frontiers in Physiology

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Computer-Assisted Three-Dimensional Morphology Evaluation of Intracranial Aneurysms

(2018) Hamidreza Rajabzadeh-Oghaz et al.   World Neurosurgery

Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA

(2018) T. Sichtermann et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography

(2018) Joseph N. Stember et al.   JOURNAL OF DIGITAL IMAGING

Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage

(2018) Lucas Alexandre Ramos et al.   Journal of NeuroInterventional Surgery

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning

(2018) Nikhil Paliwal et al.   Neurosurgical Focus

Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms

(2018) Daiju Ueda et al.   RADIOLOGY

Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography

(2017) Takahiro Nakao et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Deep Learning in Medical Imaging: General Overview

(2017) June-Goo Lee et al.   KOREAN JOURNAL OF RADIOLOGY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Interrater Agreement in the Radiologic Characterization of Ruptured Intracranial Aneurysms Based on Computed Tomography Angiography

(2017) Nicolai Maldaner et al.   World Neurosurgery

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

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

(2016) S. Miki et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

An ellipsoid convex enhancement filter for detection of asymptomatic intracranial aneurysm candidates in CAD frameworks

(2016) Ze Jin et al.   MEDICAL PHYSICS

Association of Hemodynamic Factors With Intracranial Aneurysm Formation and Rupture

(2016) Anil Can et al.   NEUROSURGERY

Prospective Assessment of a Symptomatic Cerebral Vasospasm Predictive Neural Network Model

(2016) Travis M. Dumont   World Neurosurgery

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

(2015) Robert J. McDonald et al.   ACADEMIC RADIOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

CT angiography versus 3D rotational angiography in patients with subarachnoid hemorrhage

(2015) R. S. Bechan et al.   NEURORADIOLOGY

Analysis of hemodynamics and wall mechanics at sites of cerebral aneurysm rupture

(2014) Juan R Cebral et al.   Journal of NeuroInterventional Surgery

Interobserver variability of aneurysm morphology: discrimination of the daughter sac

(2014) Sang Hyun Suh et al.   Journal of NeuroInterventional Surgery

Computer-aided Detection Improves Detection of Pulmonary Nodules in Chest Radiographs beyond the Support by Bone-suppressed Images

(2014) Steven Schalekamp et al.   RADIOLOGY

Prevalence of Unruptured Cerebral Aneurysms in Chinese Adults Aged 35 to 75 Years

(2013) Ming-Hua Li et al.   ANNALS OF INTERNAL MEDICINE

Endovascular Treatment of Intracranial Aneurysms With Flow Diverters

(2013) Waleed Brinjikji et al.   STROKE

Automatic Neck Plane Detection and 3D Geometric Characterization of Aneurysmal Sacs

(2012) Marina Piccinelli et al.   ANNALS OF BIOMEDICAL ENGINEERING

The Natural Course of Unruptured Cerebral Aneurysms in a Japanese Cohort

(2012)   NEW ENGLAND JOURNAL OF MEDICINE

Endovascular Treatment of Intracranial Unruptured Aneurysms: A Systematic Review of the Literature on Safety with Emphasis on Subgroup Analyses

(2012) Olivier N. Naggara et al.   RADIOLOGY

Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis

(2011) Monique HM Vlak et al.   LANCET NEUROLOGY

Three-dimensional morphological analysis of intracranial aneurysms: A fully automated method for aneurysm sac isolation and quantification

(2011) Ignacio Larrabide et al.   MEDICAL PHYSICS

Prediction of Symptomatic Cerebral Vasospasm after Aneurysmal Subarachnoid Hemorrhage with an Artificial Neural Network: Feasibility and Comparison with Logistic Regression Models

(2011) Travis M. Dumont et al.   World Neurosurgery

Computer-Aided Detection of Intracranial Aneurysms in MR Angiography

(2009) Xiaojiang Yang et al.   JOURNAL OF DIGITAL IMAGING

Diagnostic Accuracy and Reading Time to Detect Intracranial Aneurysms on MR Angiography Using a Computer-Aided Diagnosis System

(2008) Shingo Kakeda et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

The radiologist’s conundrum: benefits and costs of increasing CT capacity and utilization

(2008) Giles W. L. Boland et al.   EUROPEAN RADIOLOGY