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Richard McKinley
Richard McKinley
Senior researcher, Inselspital
insel.ch의 이메일 확인됨
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
15212018
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
4452017
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
2222019
Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure
O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ...
Scientific reports 8 (1), 13650, 2018
2022018
Ensembles of densely-connected CNNs with label-uncertainty for brain tumor segmentation
R McKinley, R Meier, R Wiest
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
1792019
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in neurology 9, 679, 2018
1432018
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
S Pereira, R Meier, R McKinley, R Wiest, V Alves, CA Silva, M Reyes
Medical image analysis 44, 228-244, 2018
882018
Relevance of the cerebral collateral circulation in ischaemic stroke: time is brain, but collaterals set the pace
S Jung, R Wiest, J Gralla, R McKinley, HP Mattle, D Liebeskind
Swiss medical weekly 147 (4950), w14538-w14538, 2017
872017
Fully automated stroke tissue estimation using random forest classifiers (FASTER)
R McKinley, L Häni, J Gralla, M El-Koussy, S Bauer, M Arnold, U Fischer, ...
Journal of Cerebral Blood Flow & Metabolism 37 (8), 2728-2741, 2017
832017
Triplanar ensemble of 3D-to-2D CNNs with label-uncertainty for brain tumor segmentation
R McKinley, M Rebsamen, R Meier, R Wiest
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
652020
Towards uncertainty-assisted brain tumor segmentation and survival prediction
A Jungo, R McKinley, R Meier, U Knecht, L Vera, J Pérez-Beteta, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
642018
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
632022
Stroke lesion outcome prediction based on MRI imaging combined with clinical information
A Pinto, R Mckinley, V Alves, R Wiest, CA Silva, M Reyes
Frontiers in neurology 9, 1060, 2018
632018
Nabla-net: A deep dag-like convolutional architecture for biomedical image segmentation
R McKinley, R Wepfer, T Gundersen, F Wagner, A Chan, R Wiest, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
632016
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
R McKinley, R Wepfer, L Grunder, F Aschwanden, T Fischer, C Friedli, ...
NeuroImage: Clinical, 102104, 2019
602019
Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks
R McKinley, R Wepfer, F Aschwanden, L Grunder, R Muri, C Rummel, ...
Scientific reports 11 (1), 1087, 2021
49*2021
Automatic quality control in clinical 1H MRSI of brain cancer
N Pedrosa de Barros, R McKinley, U Knecht, R Wiest, J Slotboom
NMR in Biomedicine 29 (5), 563-575, 2016
402016
A machine learning approach to perfusion imaging with dynamic susceptibility contrast MR
R McKinley, F Hung, R Wiest, DS Liebeskind, F Scalzo
Frontiers in neurology 9, 717, 2018
352018
Pooling-free fully convolutional networks with dense skip connections for semantic segmentation, with application to brain tumor segmentation
R McKinley, A Jungo, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
342018
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation
M Rebsamen, C Rummel, M Reyes, R Wiest, R McKinley
Human brain mapping 41 (17), 4804-4814, 2020
332020
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