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Sina Rashidian
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2020 – today
- 2023
- [c9]Wenzhe Cui, Rui Liu, Zhi Li, Yifan Wang, Andrew Wang, Xia Zhao, Sina Rashidian, Furqan Baig, I. V. Ramakrishnan, Fusheng Wang, Xiaojun Bi:
GlanceWriter: Writing Text by Glancing Over Letters with Gaze. CHI 2023: 719:1-719:13 - 2022
- [j3]Hossein Estiri, Zachary H. Strasser, Sina Rashidian, Jeffrey G. Klann, Kavishwar B. Wagholikar, Thomas H. McCoy Jr., Shawn N. Murphy:
An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. J. Am. Medical Informatics Assoc. 29(8): 1334-1341 (2022) - [c8]Maozheng Zhao, Henry Huang, Zhi Li, Rui Liu, Wenzhe Cui, Kajal Toshniwal, Ananya Goel, Andrew Wang, Xia Zhao, Sina Rashidian, Furqan Baig, Khiem Phi, Shumin Zhai, I. V. Ramakrishnan, Fusheng Wang, Xiaojun Bi:
EyeSayCorrect: Eye Gaze and Voice Based Hands-free Text Correction for Mobile Devices. IUI 2022: 470-482 - 2021
- [j2]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. J. Am. Medical Informatics Assoc. 28(8): 1683-1693 (2021) - [j1]Xinyu Dong, Jianyuan Deng, Wei Hou, Sina Rashidian, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang:
Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning. J. Biomed. Informatics 116: 103725 (2021) - [c7]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 - [c6]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. Poly/DMAH@VLDB 2021: 153-165 - [c5]Zhi Li, Maozheng Zhao, Yifan Wang, Sina Rashidian, Furqan Baig, Rui Liu, Wanyu Liu, Michel Beaudouin-Lafon, Brooke Ellison, Fusheng Wang, I. V. Ramakrishnan, Xiaojun Bi:
BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection. Graphics Interface 2021: 231-240 - 2020
- [c4]Sina Rashidian, Fusheng Wang, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz:
SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. AIME 2020: 37-48 - [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
- [c3]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
- [c2]Sina Rashidian, Xinyu Dong, Shubham Kumar Jain, Fusheng Wang:
EaserGeocoder: integrative geocoding with machine learning (demo paper). SIGSPATIAL/GIS 2018: 572-575 - [i1]Sina Rashidian, Janos G. Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly Noel, Rajarsi R. Gupta, Mathew Tharakan, Veena Lingam, Joel H. Saltz, Mary M. Saltz:
Disease phenotyping using deep learning: A diabetes case study. CoRR abs/1811.11818 (2018) - 2017
- [c1]Sina Rashidian, Xinyu Dong, Amogh Avadhani, Prachi Poddar, Fusheng Wang:
Effective Scalable and Integrative Geocoding for Massive Address Datasets. SIGSPATIAL/GIS 2017: 26:1-26:10
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