| 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 | 132 | 2018 |
| 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 | 97 | 2019 |
| 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, 2018 | 80 | 2018 |
| 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, 2018 | 66 | 2018 |
| Virtual exam for Parkinson’s disease enables frequent and reliable remote measurements of motor function M Burq, E Rainaldi, KC Ho, C Chen, BR Bloem, LJW Evers, RC Helmich, ... NPJ digital medicine 5 (1), 65, 2022 | 59 | 2022 |
| 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 | 58 | 2018 |
| 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 | 49 | 2014 |
| 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), 026001-026001, 2019 | 32 | 2019 |
| 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 | 27 | 2016 |
| AMIA Annual Symposium Proceedings J Li, KV Sarma, KC Ho, A Gertych, BS Knudsen, CW Arnold | 21 | 2017 |
| Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson’s disease in Japan G Oyama, M Burq, T Hatano, WJ Marks Jr, R Kapur, J Fernandez, ... Scientific reports 13 (1), 3600, 2023 | 15 | 2023 |
| 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 | 14 | 2021 |
| System and Method for Estimating Perfusion Parameters Using Medical Imaging C Arnold, KC Ho, F Scalzo US Patent App. 16/098,482, 2019 | 9 | 2019 |
| Suzie El-Saden, and Corey W. Arnold.“ KC Ho, W Speier, H Zhang, F Scalzo A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From …, 2019 | 5 | 2019 |
| 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 | 5 | 2016 |
| Author Correction: virtual exam for Parkinson’s disease enables frequent and reliable remote measurements of motor function M Burq, E Rainaldi, KC Ho, C Chen, BR Bloem, LJW Evers, RC Helmich, ... NPJ Digital Medicine 5, 2022 | 2 | 2022 |
| Simulator of Newborn Thyroid Hormone (TH) Dynamics for Optimizing Treatment of Congenital Hypothyroidism (CH) KC Ho University of California, Los Angeles, 2013 | 1 | 2013 |
| Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks C Arnold, KC Ho, F Scalzo US Patent 11,741,601, 2023 | | 2023 |
| 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 |