Surabhi Datta

According to our database, Surabhi Datta authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models.

Surabhi Datta, Kyeryoung Lee, Hunki Paek, Frank J. Manion, Nneka Ofoegbu, Jingcheng Du, Ying Li, Liang-Chin Huang, Jingqi Wang, Bin Lin, Hua Xu, Xiaoyan Wang

J. Am. Medical Informatics Assoc., January, 2024

2023

quEHRy: a question answering system to query electronic health records.

Sarvesh Soni, Surabhi Datta, Kirk Roberts

J. Am. Medical Informatics Assoc., 2023

Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes.

Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Luca Giancardo, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts

CoRR, 2023

Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images.

Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Fine-grained spatial information extraction in radiology as two-turn question answering.

Surabhi Datta, Kirk Roberts

Int. J. Medical Informatics, 2022

A Cross-document Coreference Dataset for Longitudinal Tracking across Radiology Reports.

Surabhi Datta, Hio Cheng Lam, Atieh Pajouhi, Sunitha Mogalla, Kirk Roberts

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes.

Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts

Proceedings of the AMIA 2022, 2022

2020

Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning.

Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E. Shooshan, Dina Demner-Fushman, Kirk Roberts

J. Biomed. Informatics, 2020

Deep learning in clinical natural language processing: a methodical review.

Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu

J. Am. Medical Informatics Assoc., 2020

Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping.

Surabhi Datta, Shekhar Khanpara, Roy F. Riascos, Kirk Roberts

CoRR, 2020

Rad-SpatialNet: A Frame-based Resource for Fine-Grained Spatial Relations in Radiology Reports.

Surabhi Datta, Morgan Ulinski, Jordan Godfrey-Stovall, Shekhar Khanpara, Roy Riascos-Castaneda, Kirk Roberts

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

RadLex Normalization in Radiology Reports.

Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts

Proceedings of the AMIA 2020, 2020

2019

A frame semantic overview of NLP-based information extraction for cancer-related EHR notes.

Surabhi Datta, Elmer V. Bernstam, Kirk Roberts

J. Biomed. Informatics, 2019

A frame semantic overview of NLP-based information extraction for cancer-related EHR notes: a scoping review.

Surabhi Datta, Elmer V. Bernstam, Kirk Roberts

Proceedings of the AMIA 2019, 2019