Sina Rashidian

According to our database, Sina Rashidian authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GlanceWriter: Writing Text by Glancing Over Letters with Gaze.

Wenzhe Cui, Rui Liu, Zhi Li, Yifan Wang, Andrew Wang, Xia Zhao, Sina Rashidian, Furqan Baig, I. V. Ramakrishnan, Fusheng Wang, Xiaojun Bi

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes.

Hossein Estiri, Zachary H. Strasser, Sina Rashidian, Jeffrey G. Klann, Kavishwar B. Wagholikar, Thomas H. McCoy Jr., Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2022

EyeSayCorrect: Eye Gaze and Voice Based Hands-free Text Correction for Mobile Devices.

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

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

2021

Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning.

Xinyu Dong, Jianyuan Deng, Wei Hou, Sina Rashidian, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang

J. Biomed. Informatics, 2021

Identifying risk of opioid use disorder for patients taking opioid medications with deep learning.

Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N. Rosenthal, Mary M. Saltz, Joel H. Saltz, Fusheng Wang

J. Am. Medical Informatics Assoc., 2021

BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection.

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

Proceedings of the 47th Graphics Interface Conference, 2021

Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks.

Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation.

Sina Rashidian, Fusheng Wang, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.

Xinyu Dong, Sina Rashidian, Yu Wang, Janos G. Hajagos, Xia Zhao, Richard N. Rosenthal, Jun Kong, Mary M. Saltz, Joel H. Saltz, Fusheng Wang

Proceedings of the AMIA 2019, 2019

2018

Disease phenotyping using deep learning: A diabetes case study.

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

CoRR, 2018

EaserGeocoder: integrative geocoding with machine learning (demo paper).

Sina Rashidian, Xinyu Dong, Shubham Kumar Jain, Fusheng Wang

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017

Effective Scalable and Integrative Geocoding for Massive Address Datasets.

Sina Rashidian, Xinyu Dong, Amogh Avadhani, Prachi Poddar, Fusheng Wang

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017