Hao Liu

Affiliations:

New Jersey Institute of Technology (NJIT), Newark, NJ, USA

According to our database¹, Hao Liu authored at least 20 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining.

[BibT_eX]

[DOI]

Mahshad Koohi H. Dehkordi

Navya Martin Kollapally

Vipina Kuttichi Keloth

Gai Elhanan

Andrew J. Einstein

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Using annotation for computerized support for fast skimming of cardiology electronic health record notes.

[BibT_eX]

[DOI]

Mahshad Koohi H. Dehkordi

Vipina Kuttichi Keloth

James Geller

Hao Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Visual comprehension and orientation into the COVID-19 CIDO ontology.

[BibT_eX]

[DOI]

Vipina Kuttichi Keloth

J. Biomed. Informatics, 2021

2020

Missing lateral relationships in top-level concepts of an ontology.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Concept placement using BERT trained by transforming and summarizing biomedical ontology structure.

[BibT_eX]

[DOI]

Hao Liu

Yehoshua Perl

James Geller

J. Biomed. Informatics, 2020

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Predicting Solar Flares Using a Long Short-Term Memory Network.

[BibT_eX]

[DOI]

CoRR, 2019

Training Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2019, 2019

Transfer Learning from BERT to Support Insertion of New Concepts into SNOMED CT.

[BibT_eX]

[DOI]

Hao Liu

Yehoshua Perl

James Geller

Proceedings of the AMIA 2019, 2019

2018

A Quality Assurance Methodology for ChEBI Ontology Focusing on Uncommonly Modeled Concepts.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Biological Ontology (ICBO 2018), 2018

Can a Convolutional Neural Network Support Auditing of NCI Thesaurus Neoplasm Concepts?

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Biological Ontology (ICBO 2018), 2018

Enrichment of SNOMED CT Ophthalmology Component to Support EHR Coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Overlapping Complex Concepts Have More Commission Errors, Especially in Intensive Terminology Auditing.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2018, 2018

Using Convolutional Neural Networks to Support Insertion of New Concepts into SNOMED CT.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2018, 2018

2017

From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies.

[BibT_eX]

[DOI]

Gai Elhanan

Christopher Ochs

José L. V. Mejino Jr.

Hao Liu

Christopher J. Mungall

Yehoshua Perl

Artif. Intell. Medicine, 2017

Correcting Ontology Errors Simplifies Visual Complexity.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Multi-layer Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

Hao Liu

Timeline

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