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Youngjin Yoo
Youngjin Yoo
Siemens Healthineers
Verified email at siemens-healthineers.com - Homepage
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
5652016
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
802018
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), 2020
702020
Quantification of tomographic patterns associated with COVID-19 from chest CT
S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, B Georgescu, ...
ArXiv, 2020
682020
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
International Conference on Medical Image Computing and Computer-Assisted …, 2014
632014
Deep learning of image features from unlabeled data for multiple sclerosis lesion segmentation
Y Yoo, T Brosch, A Traboulsee, DKB Li, R Tam
International workshop on machine learning in medical imaging, 117-124, 2014
562014
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
442019
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, 86-94, 2016
432016
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
402017
Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification
Y Yoo, R Tam
International Conference on Medical Image Computing and Computer-Assisted …, 2013
292013
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 8,379,094, 2013
252013
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
242019
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
182021
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
Deep convolutional encoder networks for multiple sclerosis lesion segmentation. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015. MICCAI 2015
T Brosch, Y Yoo, LY Tang, DK Li, A Traboulsee, R Tam
Lecture Notes in Computer Science, Springer, Cham 9351, 2015
162015
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort
EJ Mortani Barbosa, B Georgescu, S Chaganti, GB Aleman, JB Cabrero, ...
European radiology 31 (11), 8775-8785, 2021
15*2021
Apparatus and method for generating high ISO image
YJ Yoo, WH Choe, S Lee, K Lee
US Patent 8,471,928, 2013
152013
Noise reduction method, medium, and system
YJ Yoo, S Lee
US Patent 8,467,003, 2013
152013
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
152007
Self-supervised learning from 100 million medical images
FC Ghesu, B Georgescu, A Mansoor, Y Yoo, D Neumann, P Patel, ...
arXiv preprint arXiv:2201.01283, 2022
142022
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