Martin L. Gunn

Orcid: 0000-0001-9879-8660

According to our database1, Martin L. Gunn authored at least 17 papers between 2011 and 2024.

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Bibliography

2024
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models.
CoRR, 2024

2023
Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model.
J. Digit. Imaging, February, 2023

2022
Impact of Follow-Up Imaging Recommendation Specificity on Adherence.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations.
Proceedings of the AMIA 2022, 2022

2021
Event-based clinical findings extraction from radiology reports with pre-trained language model.
CoRR, 2021

Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model.
CoRR, 2021

A New Corpus for Clinical Findings in Radiology Reports.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Determining Follow-Up Imaging Study Using Radiology Reports.
J. Digit. Imaging, 2020

2019
Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning.
J. Digit. Imaging, 2019

2018
Detecting Technical Image Quality in Radiology Reports.
Proceedings of the AMIA 2018, 2018

2017
Extracting Follow-Up Recommendations and Associated Anatomy from Radiology Reports.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Improving Quality of Follow-Up Imaging Recommendations in Radiology.
Proceedings of the AMIA 2017, 2017

2015
Annotating Recommendation Sentences in Radiology Reports.
Proceedings of the AMIA 2015, 2015

Annotation of Clinically Important Follow-up Recommendations in Radiology Reports.
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015

2013
A text processing pipeline to extract recommendations from radiology reports.
J. Biomed. Informatics, 2013

2011
A Markov decision process approach to multi-category patient scheduling in a diagnostic facility.
Artif. Intell. Medicine, 2011


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