Parag Aggarwal

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 3

Top Topics

Autism Spectrum Disorder

Clinical Decision Support

Minimally Invasive

Top Venues

This page only lists publications with an associated author ORCID identifier.

Publications

Kyeryoung Lee, Zongzhi Z Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William K Oh, Gustavo Stolovitzky, Eric E Schadt, Xiaoyan Wang
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing. JMIR AI 2 (2023)
Kyeryoung Lee, Zongzhi Z Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William K Oh, Gustavo Stolovitzky, Eric E Schadt, Xiaoyan Wang
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing. JMIR AI 2 (2023)
Kyeryoung Lee, Zongzhi Z Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William K Oh, Gustavo Stolovitzky, Eric E Schadt, Xiaoyan Wang
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing. JMIR AI 2 (2023)