Automated detection of cerebral microbleeds via segmentation in susceptibility-weighted images of patients with traumatic brain injury-Reference-Cited by-同舟云学术

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Automated detection of cerebral microbleeds via segmentation in susceptibility-weighted images of patients with traumatic brain injury

Published:2022 Issue: Volume:35 Page:103027
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Koschmieder K.,Paul M.M.,van den Heuvel T.L.A.,van der Eerden A.W.,van Ginneken B.,Manniesing R.

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference38 articles.

1. Semiautomated detection of cerebral microbleeds in magnetic resonance images;Barnes;Magn. Resonance Imaging,2011

2. Cerebral amyloid angiopathy: Ct and mr imaging findings;Chao;Radiographics,2006

3. Cerebral microbleeds and recurrent stroke risk: systematic review and meta-analysis of prospective ischemic stroke and transient ischemic attack cohorts;Charidimou;Stroke,2013

4. Cerebral microbleeds and cognition in cerebrovascular disease: an update;Charidimou;J. Neurol. Sci.,2012

5. Automatic detection of cerebral microbleeds via deep learning based 3d feature representation;Chen,2015

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1. The prognostic importance of traumatic axonal injury on early MRI: the Trondheim TAI-MRI grading and quantitative models;European Radiology;2024-06-19

2. Imaging Findings in Acute Traumatic Brain Injury: a National Institute of Neurological Disorders and Stroke Common Data Element-Based Pictorial Review and Analysis of Over 4000 Admission Brain Computed Tomography Scans from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study;Journal of Neurotrauma;2024-04-18

3. Progressive Learning Based Knowledge Distillation for Low Resolution Cerebral Microbleed Segmentation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges;Expert Systems with Applications;2023-12

5. Naïve Bayes classifier assisted automated detection of cerebral microbleeds in susceptibility-weighted imaging brain images;Biochemistry and Cell Biology;2023-12-01

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