Multi-layer Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content. - Ling Zheng; Christopher Ochs; James Geller; Hao Liu 025; Yehoshua Perl; Sherri de Coronado (ICBK, 2017)

Correcting Ontology Errors Simplifies Visual Complexity. - Hao Liu 025; Ling Zheng; Yehoshua Perl; Yan Chen 009; Gai Elhanan (MedInfo, 2017)

From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies. - Gai Elhanan; Christopher Ochs; José L. V. Mejino Jr.; Hao Liu 025; Christopher J. Mungall; Yehoshua Perl (Artif. Intell. Medicine, 2017)

Using Convolutional Neural Networks to Support Insertion of New Concepts into SNOMED CT. - Hao Liu 025; James Geller; Michael Halper; Yehoshua Perl (AMIA, 2018)

Overlapping Complex Concepts Have More Commission Errors, Especially in Intensive Terminology Auditing. - Ling Zheng; Hao Liu 025; Yehoshua Perl; James Geller; Christopher Ochs; James T. Case (AMIA, 2018)

Enrichment of SNOMED CT Ophthalmology Component to Support EHR Coding. - Hao Liu 025; P. Lloyd Hildebrand; Yehoshua Perl; James Geller (BIBM, 2018)

Can a Convolutional Neural Network Support Auditing of NCI Thesaurus Neoplasm Concepts? - Hao Liu 025; Ling Zheng; Yehoshua Perl; James Geller; Gai Elhanan (ICBO, 2018)

A Quality Assurance Methodology for ChEBI Ontology Focusing on Uncommonly Modeled Concepts. - Hao Liu 025; Ling Chen 007; Ling Zheng; Yehoshua Perl; James Geller (ICBO, 2018)

Transfer Learning from BERT to Support Insertion of New Concepts into SNOMED CT. - Hao Liu 025; Yehoshua Perl; James Geller (AMIA, 2019)

Training Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment. - Ling Zheng; Hao Liu 025; Yehoshua Perl; James Geller (AMIA, 2019)

Predicting Solar Flares Using a Long Short-Term Memory Network. - Hao Liu 025; Chang Liu 080; Jason T. L. Wang; Haimin Wang (CoRR, 2019)

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks. - Hao Liu 025; Chang Liu 080; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. - Hao Liu 025; Yan Xu 014; Jiasheng Wang; Ju Jing; Chang Liu 080; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 025; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

Concept placement using BERT trained by transforming and summarizing biomedical ontology structure. - Hao Liu 025; Yehoshua Perl; James Geller (J. Biomed. Informatics, 2020)

Missing lateral relationships in top-level concepts of an ontology. - Ling Zheng; Yan Chen 009; Hua Min; P. Lloyd Hildebrand; Hao Liu 025; Michael Halper; James Geller; Sherri de Coronado; Yehoshua Perl (BMC Medical Informatics Decis. Mak., 2020)

Visual comprehension and orientation into the COVID-19 CIDO ontology. - Ling Zheng; Yehoshua Perl; Yongqun He; Christopher Ochs; James Geller; Hao Liu 025; Vipina Kuttichi Keloth (J. Biomed. Informatics, 2021)

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. - Yasser Abduallah; Vania K. Jordanova; Hao Liu 025; Qin Li 020; Jason T. L. Wang; Haimin Wang (CoRR, 2022)

Using annotation for computerized support for fast skimming of cardiology electronic health record notes. - Mahshad Koohi H. Dehkordi; Andrew J. Einstein; Shuxin Zhou; Gai Elhanan; Yehoshua Perl; Vipina Kuttichi Keloth; James Geller; Hao Liu 025 (BIBM, 2023)

Enhancing patient Comprehension: An effective sequential prompting approach to simplifying EHRs using LLMs. - Mahshad Koohi H. Dehkordi; Shuxin Zhou; Yehoshua Perl; Fadi P. Deek; Andrew J. Einstein; Gai Elhanan; Zhe He 001; Hao Liu 025 (BIBM, 2024)

Using clinical entity recognition for curating an interface terminology to aid fast skimming of EHRs. - Navya Martin Kollapally; Mahshad Koohi H. Dehkordi; Yehoshua Perl; James Geller; Fadi P. Deek; Hao Liu 025; Vipina Kuttichi Keloth; Gai Elhanan; Andrew J. Einstein; Shuxin Zhou (BIBM, 2024)

Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining. - Mahshad Koohi H. Dehkordi; Navya Martin Kollapally; Yehoshua Perl; James Geller; Fadi P. Deek; Hao Liu 025; Vipina Kuttichi Keloth; Gai Elhanan; Andrew J. Einstein (BIOSTEC (2), 2024)

Using Generative Large Language Models for Hierarchical Relationship Prediction in Medical Ontologies. - Hao Liu 025; Shuxin Zhou; Zhehuan Chen; Yehoshua Perl; Jiayin Wang (ICHI, 2024)

CFC Annotator: A Cluster-Focused Combination Algorithm for Annotating Electronic Health Records by Referencing Interface Terminology. - Shuxin Zhou; Hao Liu 025; Pritam Sen; Yehoshua Perl; Mahshad Koohi H. Dehkordi (BIOSTEC (2): HEALTHINF, 2025)