King Chung Ho
King Chung Ho
Data Scientist @ Verily
Verified email at g.ucla.edu
Title
Cited by
Cited by
Year
A multi-scale u-net for semantic segmentation of histological images from radical prostatectomies
J Li, KV Sarma, KC Ho, A Gertych, BS Knudsen, CW Arnold
AMIA Annual Symposium Proceedings 2017, 1140, 2017
462017
Path R-CNN for prostate cancer diagnosis and gleason grading of histological images
W Li, J Li, KV Sarma, KC Ho, S Shen, BS Knudsen, A Gertych, CW Arnold
IEEE transactions on medical imaging 38 (4), 945-954, 2018
432018
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies
J Li, W Speier, KC Ho, KV Sarma, A Gertych, BS Knudsen, CW Arnold
Computerized Medical Imaging and Graphics 69, 125-133, 2018
282018
Predicting discharge mortality after acute ischemic stroke using balanced data
KC Ho, W Speier, S El-Saden, DS Liebeskind, JL Saver, AAT Bui, ...
AMIA Annual Symposium Proceedings 2014, 1787, 2014
252014
A machine learning approach for classifying ischemic stroke onset time from imaging
KC Ho, W Speier, H Zhang, F Scalzo, S El-Saden, CW Arnold
IEEE transactions on medical imaging 38 (7), 1666-1676, 2019
202019
Classifying acute ischemic stroke onset time using deep imaging features
KC Ho, W Speier, S El-Saden, CW Arnold
AMIA Annual Symposium Proceedings 2017, 892, 2017
182017
Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images
KC Ho, F Scalzo, KV Sarma, W Speier, S El-Saden, C Arnold
Journal of Medical Imaging 6 (2), 026001, 2019
112019
A temporal deep learning approach for MR perfusion parameter estimation in stroke
KC Ho, F Scalzo, KV Sarma, S El-Saden, CW Arnold
2016 23rd International Conference on Pattern Recognition (ICPR), 1315-1320, 2016
112016
Abstract WP41: Predicting acute ischemic stroke tissue fate using deep learning on source perfusion MRI
KC Ho, S El-Saden, F Scalzo, AA Bui, CW Arnold
Stroke 47 (suppl_1), AWP41-AWP41, 2016
42016
Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks
C Arnold, KC Ho, F Scalzo
US Patent 11,024,024, 2021
32021
System and Method for Estimating Perfusion Parameters Using Medical Imaging
C Arnold, KC Ho, F Scalzo
US Patent App. 16/098,482, 2019
12019
Simulator of Newborn Thyroid Hormone (TH) Dynamics for Optimizing Treatment of Congenital Hypothyroidism (CH)
KC Ho
University of California, Los Angeles, 2013
12013
Deep Learning Model Training and Visualization for Spinal Cord Segmentation
KC Ho, RS Grandhi, W Speier, C Arnold
MICCAI Education Challenge 2019, https://miccai-sb.github.io/materials.html, 2019
2019
Improving Acute Ischemic Stroke Clinical and Imaging Outcome Classification using Machine Learning and Deep Learning Methods
KC Ho
University of California, Los Angeles, 2019
2019
Predicting Ischemic Stroke Tissue Fate Using a Deep Convolutional Neural Network on Source MR Perfusion Imaging
KC Ho, F Scalzo, KV Sarma, W Speier, S El-Saden, C Arnoldc
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