| Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence K Hsieh, Y Wang, L Chen, Z Zhao, S Savitz, X Jiang, J Tang, Y Kim Scientific reports 11 (1), 23179, 2021 | 91* | 2021 |
| Preparing for ICD-10-CM/PCS implementation: impact on productivity and quality MH Stanfill, KL Hsieh, K Beal, SH Fenton Perspectives in health information management 11 (Summer), 2014 | 21 | 2014 |
| Hyperpolarized magnetic resonance and artificial intelligence: Frontiers of imaging in pancreatic cancer JS Enriquez, Y Chu, S Pudakalakatti, KL Hsieh, D Salmon, P Dutta, ... JMIR Medical Informatics 9 (6), e26601, 2021 | 15 | 2021 |
| Synthesize heterogeneous biological knowledge via representation learning for Alzheimer’s disease drug repurposing KL Hsieh, G Plascencia-Villa, KH Lin, G Perry, X Jiang, Y Kim Iscience 26 (1), 2023 | 6 | 2023 |
| Abstract LB067: A confident and operator-independent deep segmentation model to measure residual tumor volume in the follow-up MRIs for glioblastoma KL Hsieh, T Kabir, L Nunez-Rubiano, YC Hsu, Y Cai, JR Quintero, ... Cancer Research 83 (8_Supplement), LB067-LB067, 2023 | 1 | 2023 |
| Integrating Comorbidity Knowledge for Alzheimer’s Disease Drug Repurposing using Multi-task Graph Neural Network KH Lin, KL Hsieh, X Jiang, Y Kim AMIA Summits on Translational Science Proceedings 2023, 378, 2023 | 1 | 2023 |
| Synthesize Heterogeneous Biological Knowledge via Representation Learning for Alzheimer’s Disease Drug Repurposing KL Hsieh, G Plascencia-Villa, KH Lin, G Perry, X Jiang, Y Kim medRxiv, 2021.12. 03.21267235, 2021 | 1 | 2021 |
| The challenges of using temporal representation in real-world EHR data KL Hsieh 2018 IEEE International Conference on Healthcare Informatics (ICHI), 453-454, 2018 | 1 | 2018 |
| Hyperpolarized Magnetic Resonance Imaging, Nuclear Magnetic Resonance Metabolomics, and Artificial Intelligence to Interrogate the Metabolic Evolution of Glioblastoma KL Hsieh, Q Chen, TC Salzillo, J Zhang, X Jiang, PK Bhattacharya, ... Metabolites 14 (8), 448, 2024 | | 2024 |
| Learning interpretable cellular embedding for inferring biological mechanisms underlying single-cell transcriptomics KL Hsieh, Y Chu, PG Pilié, K Zhang, Y Dai medRxiv, 2024.03. 29.24305092, 2024 | | 2024 |
| scEMB: Learning context representation of genes based on large-scale single-cell transcriptomics K Hsieh, Y Chu, X Li, PG Pilie, Y Dai bioRxiv, 2024.09. 24.614685, 2024 | | 2024 |
| An Automated MRI Analysis Tool to Measure the Tumor Volume and Assess the Treatment Response for Glioblastoma T Kabir, KL Hsieh, L Nunez-Rubiano, Y Cai, YC Hsu, JCR Quintero, ... | | 2022 |
| The costs of waiting to get treated for new AML patients: Medical expenditures, mortality rate, and length of hospital stay KL Hsieh, BS Ko, X Jiang, TJ Chang, YF Wang Cancer Research 82 (12_Supplement), 1026-1026, 2022 | | 2022 |
| Developing a Coronavirus Academic Paper Sorting Application CA van Hal, X Jiang, L Chen, Y Chu, RD Jolly, Y Lin, J Zhao, KL Hsieh International Journal of Computer and Systems Engineering, 655-660, 2022 | | 2022 |
| Early Detection of Pancreatic Cancer by Hyperpolarization and Artificial Intelligence CM Alducin, JS Enriquez, K Hsieh, F McAllister, S Shams, ... The University of Texas MD Anderson Cancer Center, 2021 | | 2021 |
| Utilizing Temporal Information in The EHR for Developing a Novel Continuous Prediction Model KL Hsieh | | 2019 |
| Informed Consent: Does Anyone Really Understand What Is Contained In The Medical Record? HK Harris M3. Fenton SH1, Manion F2 Appl Clin Inform, 2015 | | 2015 |
| Deep Learning for Alzheimer’s Disease Drug Repurposing using Knowledge Graph and Multi-level Evidence KL Hsieh, G Plascencia-Villa, KH Lin, G Perry, X Jiang, Y Kim | | |
