| Deep learning and alternative learning strategies for retrospective real-world clinical data D Chen, S Liu, P Kingsbury, S Sohn, CB Storlie, EB Habermann, ... NPJ digital medicine 2 (1), 43, 2019 | 193 | 2019 |
| Clinical concept extraction: a methodology review S Fu, D Chen, H He, S Liu, S Moon, KJ Peterson, F Shen, L Wang, ... Journal of biomedical informatics 109, 103526, 2020 | 136 | 2020 |
| Postoperative bleeding risk prediction for patients undergoing colorectal surgery D Chen, N Afzal, S Sohn, EB Habermann, JM Naessens, DW Larson, ... Surgery 164 (6), 1209-1216, 2018 | 40 | 2018 |
| Myocardial perfusion magnetic resonance imaging using sliding-window conjugate-gradient highly constrained back-projection reconstruction for detection of coronary artery disease H Ma, J Yang, J Liu, L Ge, J An, Q Tang, H Li, Y Zhang, D Chen, Y Wang, ... The American journal of cardiology 109 (8), 1137-1141, 2012 | 25 | 2012 |
| Breast cancer classification using deep transfer learning on structured healthcare data A Farhadi, D Chen, R McCoy, C Scott, JA Miller, CM Vachon, C Ngufor 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 19 | 2019 |
| Improved interpretability of machine learning model using unsupervised clustering: predicting time to first treatment in chronic lymphocytic leukemia D Chen, G Goyal, RS Go, SA Parikh, CG Ngufor JCO clinical cancer informatics 3, 1-11, 2019 | 15 | 2019 |
| Quantification of myocardial blood flow using non–ECG‐triggered MR imaging D Chen, B Sharif, R Dharmakumar, LEJ Thomson, CN Bairey Merz, ... Magnetic resonance in medicine 74 (3), 765-771, 2015 | 15 | 2015 |
| Salience of medical concepts of inside clinical texts and outside medical records for referred cardiovascular patients S Moon, S Liu, D Chen, Y Wang, DL Wood, R Chaudhry, H Liu, ... Journal of Healthcare Informatics Research 3, 200-219, 2019 | 9 | 2019 |
| Development and validation of a risk stratification model using disease severity hierarchy for mortality or major cardiovascular event C Ngufor, PJ Caraballo, TJ O¢Byrne, D Chen, ND Shah, L Pruinelli, ... JAMA network open 3 (7), e208270-e208270, 2020 | 8 | 2020 |
| Predicting time to first treatment in chronic lymphocytic leukemia using machine learning survival and classification methods D Chen, G Goyal, R Go, S Parikh, C Ngufor 2018 IEEE international conference on healthcare informatics (ICHI), 407-408, 2018 | 7 | 2018 |
| Application of artificial intelligence to clinical practice in inflammatory bowel disease–what the clinician needs to know D Chen, C Fulmer, IO Gordon, S Syed, RW Stidham, N Vande Casteele, ... Journal of Crohn's and Colitis 16 (3), 460-471, 2022 | 6 | 2022 |
| Early detection of post-surgical complications using time-series electronic health records D Chen, J Jiang, S Fu, G Demuth, S Liu, GM Schaeferle, PM Wilson, ... AMIA summits on translational science proceedings 2021, 152, 2021 | 6 | 2021 |
| Deep neural network for cardiac magnetic resonance image segmentation D Chen, H Bhopalwala, N Dewaswala, SP Arunachalam, M Enayati, ... Journal of Imaging 8 (5), 149, 2022 | 5 | 2022 |
| Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports N Dewaswala, D Chen, H Bhopalwala, VC Kaggal, SP Murphy, JM Bos, ... BMC Medical Informatics and Decision Making 22 (1), 272, 2022 | 3 | 2022 |
| Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients S Moon, S Liu, P Kingsbury, D Chen, Y Wang, F Shen, R Chaudhry, H Liu 2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017 | 3 | 2017 |
| An automated natural language processing algorithm to classify magnetic resonance imaging reports containing positive diagnoses of hypertrophic cardiomyopathy S Moon, E Sagheb, S Liu, D Chen, M Bos, JB Geske, PA Noseworthy, ... Circulation 140 (Suppl_1), A13811-A13811, 2019 | 2 | 2019 |
| Development of clinical concept extraction applications: A methodology review S Fu, D Chen, S Liu, S Moon, KJ Peterson, F Shen, Y Wang, L Wang, ... American journal of physiology. Regulatory, integrative and comparative …, 2019 | 2 | 2019 |
| Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision M Nakashima, D Salem, HWW Tang, C Nguyen, TH Hwang, D Zhao, ... Machine Learning for Healthcare Conference, 473-488, 2023 | | 2023 |
| Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging J Qiu, P Huang, M Nakashima, J Lee, J Zhu, W Tang, P Chen, C Nguyen, ... arXiv preprint arXiv:2304.07675, 2023 | | 2023 |
| Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging M Nakashima, I Jang, R Basnet, M Benovoy, WH Tang, C Nguyen, ... arXiv preprint arXiv:2205.12429, 2022 | | 2022 |
Hongfang LiuUniversity of Texas Health Science Center at HoustonVerified email at uth.tmc.edu
