Quantitative image signature and machine learning-based prediction of outcomes in cerebral cavernous malformations

Author:

Jabal Mohamed Sobhi,Mohammed Marwa A.,Kobeissi HassanORCID,Lanzino Giuseppe,Brinjikji Waleed,Flemming Kelly D.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Rehabilitation,Surgery

Reference26 articles.

1. Intracranial cavernous malformations: lesion behavior and management strategies;Maraire;Neurosurgery,1995

2. The natural history of cavernous malformations: a prospective study of 68 patients;Moriarity;Neurosurgery,1999

3. De novo formation of a central nervous system cavernous malformation: implications for predicting risk of hemorrhage. Case report and review of the literature;Detwiler;J Neurosurg,1997

4. Dynamic nature of cavernous malformations: a prospective magnetic resonance imaging study with volumetric analysis;Clatterbuck;J Neurosurg,2000

5. Bleeding risk of cerebral cavernous malformations in patients on β-blocker medication: a cohort study;Goldberg;J Neurosurg,2018

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