Sina Rashidian

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 13

Top Topics

Weakly Supervised

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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)
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)
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) (2022)
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 (2021)
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) (2021)
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)
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)
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)
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 (2020)
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)
Sina Rashidian, Xinyu Dong, Shubham Kumar Jain, Fusheng Wang
EaserGeocoder: integrative geocoding with machine learning (demo paper). SIGSPATIAL/GIS (2018)
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 (2018)
Sina Rashidian, Xinyu Dong, Amogh Avadhani, Prachi Poddar, Fusheng Wang
Effective Scalable and Integrative Geocoding for Massive Address Datasets. SIGSPATIAL/GIS (2017)