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Youngjin Yoo
Youngjin Yoo
Siemens Healthineers
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Title
Cited by
Cited by
Year
Deep 3D convolutional encoder networks with shortcuts for multiscale feature integration applied to multiple sclerosis lesion segmentation
T Brosch, LYW Tang, Y Yoo, DKB Li, A Traboulsee, R Tam
IEEE transactions on medical imaging 35 (5), 1229-1239, 2016
6642016
Automated quantification of CT patterns associated with COVID-19 from chest CT
S Chaganti, P Grenier, A Balachandran, G Chabin, S Cohen, T Flohr, ...
Radiology: Artificial Intelligence 2 (4), e200048, 2020
1632020
Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls
Y Yoo, LYW Tang, T Brosch, DKB Li, S Kolind, I Vavasour, A Rauscher, ...
NeuroImage: Clinical 17, 169-178, 2018
1002018
Deep learning of image features from unlabeled data for multiple sclerosis lesion segmentation
Y Yoo, T Brosch, A Traboulsee, DKB Li, R Tam
Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014 …, 2014
752014
Modeling the variability in brain morphology and lesion distribution in multiple sclerosis by deep learning
T Brosch, Y Yoo, DKB Li, A Traboulsee, R Tam
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
712014
Imaging outcome measures of neuroprotection and repair in MS: a consensus statement from NAIMS
J Oh, D Ontaneda, C Azevedo, EC Klawiter, M Absinta, DL Arnold, ...
Neurology 92 (11), 519-533, 2019
662019
Contrastive self-supervised learning from 100 million medical images with optional supervision
FC Ghesu, B Georgescu, A Mansoor, Y Yoo, D Neumann, P Patel, ...
Journal of Medical Imaging 9 (6), 064503-064503, 2022
622022
Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome
Y Yoo, LYW Tang, DKB Li, L Metz, S Kolind, AL Traboulsee, RC Tam
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
572019
Quantifying and leveraging predictive uncertainty for medical image assessment
FC Ghesu, B Georgescu, A Mansoor, Y Yoo, E Gibson, RS Vishwanath, ...
Medical Image Analysis 68, 101855, 2021
542021
Deep learning of brain lesion patterns for predicting future disease activity in patients with early symptoms of multiple sclerosis
Y Yoo, LW Tang, T Brosch, DKB Li, L Metz, A Traboulsee, R Tam
Deep Learning and Data Labeling for Medical Applications: First …, 2016
532016
Rapid myelin water imaging in human cervical spinal cord
E Ljungberg, I Vavasour, R Tam, Y Yoo, A Rauscher, DKB Li, ...
Magnetic resonance in medicine 78 (4), 1482-1487, 2017
412017
Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification
Y Yoo, R Tam
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
302013
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort
EJ Mortani Barbosa Jr, B Georgescu, S Chaganti, GB Aleman, JB Cabrero, ...
European radiology 31 (11), 8775-8785, 2021
29*2021
Apparatus and method for obtaining motion adaptive high dynamic range image
H Oh, WH Choe, S Lee, H Song, SC Park, YJ Yoo, JH Kwon, K Lee
US Patent App. 13/485,357, 2012
272012
Quantification of tomographic patterns associated with COVID-19 from chest CT
S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, B Georgescu, ...
arXiv preprint arXiv:2004.01279, 2020
212020
CMOS image sensor noise reduction method for image signal processor in digital cameras and camera phones
Y Yoo, SD Lee, W Choe, CY Kim
Digital Photography III 6502, 263-272, 2007
182007
3d tomographic pattern synthesis for enhancing the quantification of covid-19
S Liu, B Georgescu, Z Xu, Y Yoo, G Chabin, S Chaganti, S Grbic, S Piat, ...
arXiv preprint arXiv:2005.01903, 2020
172020
Fast computation of myelin maps from MRI T2 relaxation data using multicore CPU and graphics card parallelization
Y Yoo, T Prasloski, I Vavasour, A MacKay, AL Traboulsee, DKB Li, ...
Journal of Magnetic Resonance Imaging 41 (3), 700-707, 2015
172015
Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks
K Nael, E Gibson, C Yang, P Ceccaldi, Y Yoo, J Das, A Doshi, ...
Scientific reports 11 (1), 6876, 2021
162021
Brain myelin water fraction and diffusion tensor imaging atlases for 9‐10 year‐old children
SR Morris, RD Holmes, AV Dvorak, H Liu, Y Yoo, IM Vavasour, S Mazabel, ...
Journal of Neuroimaging 30 (2), 150-160, 2020
162020
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