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Mary M. Saltz
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2020 – today
- 2022
- [c13]Saumya Gupta
, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (29) 2022: 701-718 - [i3]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR abs/2207.09654 (2022) - 2021
- [j2]Xinyu Dong, Jianyuan Deng
Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. J. Am. Medical Informatics Assoc. 28(8): 1683-1693 (2021) - [j1]Xinyu Dong, Jianyuan Deng
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning. J. Biomed. Informatics 116: 103725 (2021) - [c12]Sritha Rajupet, Rachel Wong, Donna Moller, Lisa Maldonado, Tricia Weiss, Tahsin M. Kurç, Janos G. Hajagos, Hasit Shah, Mary M. Saltz, Joel H. Saltz, Veena Lingam:
Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use. AMIA 2021 - [c11]Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz:
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. AMIA 2021 - [c10]Siao Sun, Fusheng Wang
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. Poly/DMAH@VLDB 2021: 153-165 - 2020
- [c9]Sina Rashidian, Fusheng Wang
SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. AIME 2020: 37-48 - [c8]Chao-Wei Tsai, Kayley Abell-Hart, Joshua Miller, Danielle J. Kelly, Mary M. Saltz, Veena Lingam:
Inpatient Point of Care Glucose Performance Analysis Using Paired Timestamps. AMIA 2020 - [i2]Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning. CoRR abs/2010.04589 (2020)
2010 – 2019
- 2019
- [c7]Xinyu Dong, Sina Rashidian, Yu Wang, Janos G. Hajagos, Xia Zhao, Richard N. Rosenthal, Jun Kong, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. AMIA 2019 - 2018
- [c6]Sheetal Pandrekar Mangesh, Xin Chen, Gaurav Gopalkrishna, Avi Srivastava, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Social Media Based Analysis of Opioid Epidemic Using Reddit. AMIA 2018 - [i1]Sina Rashidian
Disease phenotyping using deep learning: A diabetes case study. CoRR abs/1811.11818 (2018) - 2017
- [c5]Xin Chen, Yu Wang, Xiaxia Yu, Elinor Schoenfeld, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Large-scale Analysis of Opioid Poisoning Related Hospital Visits in New York State. AMIA 2017 - [c4]Xin Chen, Yu Wang, Elinor Schoenfeld, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Spatio-temporal Analysis for New York State SPARCS Data. CRI 2017 - 2016
- [c3]Sarah B. Putney, Andrew White, Janos G. Hajagos, Joel H. Saltz, Jonas S. Almeida, Mary M. Saltz:
S2CR3UM: A Solution to the In Silico Relevance, Reliability & Reproducibility Conundrum. AMIA 2016 - 2015
- [c2]Jonas S. Almeida, Janos G. Hajagos, Ivan Crnosija, Tahsin M. Kurç, Mary M. Saltz, Joel H. Saltz:
OpenHealth Platform for Interactive Contextualization of Population Health Open Data. AMIA 2015 - [c1]Mary M. Saltz, Joel H. Saltz, Janos G. Hajagos, Andrew White, Charles Boicey, Jim Murry, Ivan Crnosija, Tahsin M. Kurç, Erich Bremer, Jonas S. Almeida:
Integrative Informatics and Predictive Modeling Support for Population Health. AMIA 2015
Coauthor Index
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