Richard McKinley
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Explore the profile of Richard McKinley including associated specialties, affiliations and a list of published articles.
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33
Citations
640
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Recent Articles
11.
Rebsamen M, McKinley R, Radojewski P, Pistor M, Friedli C, Hoepner R, et al.
Hum Brain Mapp
. 2022 Oct;
44(3):970-979.
PMID: 36250711
Brain morphometry is usually based on non-enhanced (pre-contrast) T1-weighted MRI. However, such dedicated protocols are sometimes missing in clinical examinations. Instead, an image with a contrast agent is often available....
12.
Rebsamen M, Radojewski P, McKinley R, Reyes M, Wiest R, Rummel C
Front Neurol
. 2022 Mar;
13:812432.
PMID: 35250818
Purpose: Hippocampal volumetry is an important biomarker to quantify atrophy in patients with mesial temporal lobe epilepsy. We investigate the sensitivity of automated segmentation methods to support radiological assessments of...
13.
Meier R, Lux P, Med B, Jung S, Fischer U, Gralla J, et al.
Radiol Artif Intell
. 2021 May;
1(5):e190019.
PMID: 33937801
Purpose: To perform a proof-of-concept study to investigate the clinical utility of perfusion maps derived from convolutional neural networks (CNNs) for the workup of patients with acute ischemic stroke presenting...
14.
McKinley R, Wepfer R, Aschwanden F, Grunder L, Muri R, Rummel C, et al.
Sci Rep
. 2021 Jan;
11(1):1087.
PMID: 33441684
Segmentation of white matter lesions and deep grey matter structures is an important task in the quantification of magnetic resonance imaging in multiple sclerosis. In this paper we explore segmentation...
15.
Rebsamen M, Rummel C, Reyes M, Wiest R, McKinley R
Hum Brain Mapp
. 2020 Aug;
41(17):4804-4814.
PMID: 32786059
Accurate and reliable measures of cortical thickness from magnetic resonance imaging are an important biomarker to study neurodegenerative and neurological disorders. Diffeomorphic registration-based cortical thickness (DiReCT) is a known technique...
16.
Salvi C, Beeman M, Bikson M, McKinley R, Grafman J
Sci Rep
. 2020 Jan;
10(1):946.
PMID: 31969588
Problem-solving is essential for advances in cultural, social, and scientific knowledge. It is also one of the most challenging cognitive processes to facilitate. Some problem-solving is deliberate, but frequently people...
17.
McKinley R, Wepfer R, Grunder L, Aschwanden F, Fischer T, Friedli C, et al.
Neuroimage Clin
. 2020 Jan;
25:102104.
PMID: 31927500
The detection of new or enlarged white-matter lesions is a vital task in the monitoring of patients undergoing disease-modifying treatment for multiple sclerosis. However, the definition of 'new or enlarged'...
18.
Rebsamen M, Knecht U, Reyes M, Wiest R, Meier R, McKinley R
Front Neurosci
. 2019 Nov;
13:1182.
PMID: 31749678
It is a general assumption in deep learning that more training data leads to better performance, and that models will learn to generalize well across heterogeneous input data as long...
19.
20.
Kuijf H, Biesbroek J, de Bresser J, Heinen R, Andermatt S, Bento M, et al.
IEEE Trans Med Imaging
. 2019 Mar;
38(11):2556-2568.
PMID: 30908194
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are often still obtained from manual segmentations on...