Youngjin Yoo

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Tom Brosch, Lisa Tang, Youngjin Yoo et al. · IEEE Transactions on Medical Imaging · 2016 · 465 citations

Geometric Learning, Convolutional Neural Network, Engineering +20

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Shikha Chaganti, Philippe Greniér, Abishek Balachandran et al. · Radiology Artificial Intelligence · 2020 · 154 citations · Full text

Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

Youngjin Yoo, Lisa Tang, Tom Brosch et al. · NeuroImage Clinical · 2017 · 94 citations · Full text

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome

Youngjin Yoo, Lisa Tang, David K.B. Li et al. · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization · 2017 · 62 citations

Convolutional Neural Network, Engineering, Machine Learning +18

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT.

Shikha Chaganti, Abishek Balachandran, Guillaume Chabin et al. · PubMed · 2020 · 59 citations · Full text