David Chen - RankMe

14 papers B 1Misc 2Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction. J. Am. Medical Informatics Assoc. Xiaotan Sun, Makiya Nakashima, Christopher Nguyen, Po-Hao Chen, W. H. Wilson Tang, Deborah Kwon, David Chen
2024	—	`conf`	Indication Driven Autoregressive Report Generation for Cardiac Magnetic Resonance Imaging. ML4H@NeurIPS Makiya Nakashima, Po-Hao Chen, Michael Bolen, Christopher Nguyen, W. H. Wilson Tang, Richard Grimm, Deborah Kwon, David Chen
2023	—	`conf`	Classification Using Deep Transfer Learning on Structured Healthcare Data. SSCI Ayda Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, Ping Ma, Celine M. Vachon, Jingyi Zhang, Che Ngufor, John A. Miller
2022	J	`jnl`	Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. J. Imaging David Chen, Huzefa M. Bhopalwala, Nakeya Dewaswala, Shivaram Poigai Arunachalam, Moein Enayati, Nasibeh Zanjirani Farahani, Kalyan Pasupathy, Sravani Lokineni, J. Martijn Bos, Peter A. Noseworthy, Reza Arsanjani, Bradley J. Erickson, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson
2022	J	`jnl`	Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports. BMC Medical Informatics Decis. Mak. Nakeya Dewaswala, David Chen, Huzefa M. Bhopalwala, Vinod C. Kaggal, Sean P. Murphy, J. Martijn Bos, Jeffrey B. Geske, Bernard J. Gersh, Steve Ommen, Philip A. Araoz, Michael J. Ackerman, Adelaide M. Arruda-Olson
2020	J	`jnl`	Clinical concept extraction: A methodology review. J. Biomed. Informatics Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Liwei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu
2019	Misc	`conf`	A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon
2019	B	`conf`	Breast Cancer Classification using Deep Transfer Learning on Structured Healthcare Data. DSAA Akram Farhadi, David Chen, Rozalina G. McCoy, Christopher Scott, John A. Miller, Celine M. Vachon, Che Ngufor
2019	J	`jnl`	Deep learning and alternative learning strategies for retrospective real-world clinical data. npj Digit. Medicine David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu
2019	J	`jnl`	Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu
2019	Misc	`conf`	Ensemble Imputation for Healthcare Data. AMIA David Chen, Christopher Scott, Christina L. Luong, Itzhak Z. Attia, Che Ngufor, Adelaide M. Arruda-Olson, Patricia A. Pellikka
2019	J	`jnl`	Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients. J. Heal. Informatics Res. Sungrim Moon, Sijia Liu, David Chen, Yanshan Wang, Douglas L. Wood, Rajeev Chaudhry, Hongfang Liu, Paul R. Kingsbury
2018	—	`conf`	Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods. ICHI David Chen, Gaurav Goyal, Ronald Go, Sameer Parikh, Che Ngufor
2017	—	`conf`	Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. BIBM Sungrim Moon, Sijia Liu, Paul R. Kingsbury, David Chen, Yanshan Wang, Feichen Shen, Rajeev Chaudhry, Hongfang Liu