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2020 – today
- 2024
[j6]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:
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. J. Am. Medical Informatics Assoc. 31(2): 375-385 (2024)- 2023
- [j5]Sarvesh Soni, Surabhi Datta, Kirk Roberts:
quEHRy: a question answering system to query electronic health records. J. Am. Medical Informatics Assoc. 30(6): 1091-1102 (2023) - [c6]Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo:
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images. ISBI 2023: 1-5 - [i5]Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Luca Giancardo, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts:
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes. CoRR abs/2305.11948 (2023) - 2022
- [j4]Surabhi Datta, Kirk Roberts:
Fine-grained spatial information extraction in radiology as two-turn question answering. Int. J. Medical Informatics 158(February): 104628 (2022) - [c5]Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts:
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes. AMIA 2022 - [c4]Surabhi Datta, Hio Cheng Lam, Atieh Pajouhi, Sunitha Mogalla, Kirk Roberts:
A Cross-document Coreference Dataset for Longitudinal Tracking across Radiology Reports. LREC 2022: 3686-3695 - 2020
- [j3]Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu:
Deep learning in clinical natural language processing: a methodical review. J. Am. Medical Informatics Assoc. 27(3): 457-470 (2020) - [j2]Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E. Shooshan, Dina Demner-Fushman, Kirk Roberts:
Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning. J. Biomed. Informatics 108: 103473 (2020) - [c3]Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts:
RadLex Normalization in Radiology Reports. AMIA 2020 - [c2]Surabhi Datta, Morgan Ulinski, Jordan Godfrey-Stovall, Shekhar Khanpara, Roy Riascos-Castaneda, Kirk Roberts:
Rad-SpatialNet: A Frame-based Resource for Fine-Grained Spatial Relations in Radiology Reports. LREC 2020: 2251-2260 - [i4]Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts:
RadLex Normalization in Radiology Reports. CoRR abs/2009.05128 (2020) - [i3]Surabhi Datta, Shekhar Khanpara, Roy F. Riascos, Kirk Roberts:
Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping. CoRR abs/2010.05096 (2020)
2010 – 2019
- 2019
- [j1]Surabhi Datta, Elmer V. Bernstam, Kirk Roberts:
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes. J. Biomed. Informatics 100 (2019) - [c1]Surabhi Datta, Elmer V. Bernstam, Kirk Roberts:
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes: a scoping review. AMIA 2019 - [i2]Surabhi Datta, Elmer V. Bernstam, Kirk Roberts:
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes. CoRR abs/1904.01655 (2019) - [i1]Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E. Shooshan, Dina Demner-Fushman, Kirk Roberts:
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. CoRR abs/1908.04485 (2019)
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