Brian Chapman

Autoethnography as Autodissection: Teaching Medical Informatics with a Personal Health Narrative

Brian E Chapman BE

Conference Proceedings  |  2021  |  Presented at International Symposium on Autoethnography and Narrative

Getting Beyond the Memoir to an Autoethnography: Building on a Cancer Survivor Narrative Memoir

Brian E Chapman, Donna H Ziegenfuss

Conference Proceedings  |  2021  |  Presented at International Symposium on Autoethnography and Narrative

The International Neuromodulation Registry: An Informatics Framework Supporting Cohort Discovery and Analysis.

David M Hedges, John C Hegman, Jefferson R Brown, Jack T Wilburn, Brian E Chapman, Christopher R Butson

Journal article  |  2020  |  Front Neuroinform

Background: Neuromodulation therapies, such as deep brain stimulation (DBS), spinal cord stimulation (SCS), responsive neurostimul..

Compartment and hub definitions tune metabolic networks for metabolomic interpretations.

T Cameron Waller, Jordan A Berg, Alexander Lex, Brian E Chapman, Jared Rutter

Journal article  |  2020  |  Gigascience

BACKGROUND: Metabolic networks represent all chemical reactions that occur between molecular metabolites in an organism's cells. T..

Feasibility of Natural Language Processing-Assisted Auditing of Critical Findings in Chest Radiology.

Marta E Heilbrun, Brian E Chapman, Evan Narasimhan, Neel Patel, Danielle Mowery

Journal article  |  2019  |  J Am Coll Radiol

OBJECTIVE: Time-sensitive communication of critical imaging findings like pneumothorax or pulmonary embolism to referring physicia..

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

Imon Banerjee, Yuan Ling, Matthew C Chen, Sadid A Hasan, Curtis P Langlotz, Nathaniel Moradzadeh, Brian Chapman, Timothy Amrhein, David Mong, Daniel L Rubin, Oladimeji Farri, Matthew P Lungren

Journal article  |  2019  |  Artif Intell Med

This paper explores cutting-edge deep learning methods for information extraction from medical imaging free text reports at a mult..

Bootstrapping estimates of stability for clusters, observations and model selection

H Yu, B Chapman, A Di Florio, E Eischen, D Gotz, M Jacob, RH Blair

Journal article  |  2019  |  Computational Statistics

Clustering is a challenging problem in unsupervised learning. In lieu of a gold standard, stability has become a valuable surrogat..

Data science education, workforce development

Brian E Chapman

Presentation  |  2018

Deep Learning to Classify Radiology Free-Text Reports.

Matthew C Chen, Robyn L Ball, Lingyao Yang, Nathaniel Moradzadeh, Brian E Chapman, David B Larson, Curtis P Langlotz, Timothy J Amrhein, Matthew P Lungren

Journal article  |  2018  |  Radiology

Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natura..

Structured reporting: The value concept for radiologists

ME Heilbrun, J Cramer, BE Chapman

Book Chapter  |  2018  |  Medical Radiology

Narrative reporting has been the mainstay of the radiologist’s work for as long as the domain of radiology has been in existence. ..