Surabhi Datta

18 papers B 2Misc 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation.
J. Am. Medical Informatics Assoc.
Ying Li, Surabhi Datta, Majid Rastegar-Mojarad, Kyeryoung Lee, Hunki Paek, Julie Glasgow, Chris Liston, Long He, Xiaoyan Wang, Yingxin Xu
2024 J jnl
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models.
J. Am. Medical Informatics Assoc.
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
2023 J jnl
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes.
CoRR
Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Luca Giancardo, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts
2023 — conf
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images.
ISBI
Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo
2023 J jnl
quEHRy: a question answering system to query electronic health records.
J. Am. Medical Informatics Assoc.
Sarvesh Soni, Surabhi Datta, Kirk Roberts
2022 B conf
A Cross-document Coreference Dataset for Longitudinal Tracking across Radiology Reports.
LREC
Surabhi Datta, Hio Cheng Lam, Atieh Pajouhi, Sunitha Mogalla, Kirk Roberts
2022 Misc conf
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes.
AMIA
Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts
2022 J jnl
Fine-grained spatial information extraction in radiology as two-turn question answering.
Int. J. Medical Informatics
Surabhi Datta, Kirk Roberts
2020 J jnl
Deep learning in clinical natural language processing: a methodical review.
J. Am. Medical Informatics Assoc.
Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu
2020 J jnl
Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping.
CoRR
Surabhi Datta, Shekhar Khanpara, Roy F. Riascos, Kirk Roberts
2020 B conf
Rad-SpatialNet: A Frame-based Resource for Fine-Grained Spatial Relations in Radiology Reports.
LREC
Surabhi Datta, Morgan Ulinski, Jordan Godfrey-Stovall, Shekhar Khanpara, Roy Riascos-Castaneda, Kirk Roberts
2020 Misc conf
RadLex Normalization in Radiology Reports.
AMIA
Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts
2020 J jnl
RadLex Normalization in Radiology Reports.
CoRR
Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts
2020 J jnl
Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning.
J. Biomed. Informatics
Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E. Shooshan, Dina Demner-Fushman, Kirk Roberts
2019 J jnl
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes.
CoRR
Surabhi Datta, Elmer V. Bernstam, Kirk Roberts
2019 J jnl
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes.
J. Biomed. Informatics
Surabhi Datta, Elmer V. Bernstam, Kirk Roberts
2019 Misc conf
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes: a scoping review.
AMIA
Surabhi Datta, Elmer V. Bernstam, Kirk Roberts
2019 J jnl
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning.
CoRR
Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E. Shooshan, Dina Demner-Fushman, Kirk Roberts