John H. M. Austin

Publication Activity (10 Years)

Years Active: 1994-2021
Publications (10 Years): 5

Top Topics

Learning Systems

Experimental Study

Top Venues

IEEE Trans. Medical Imaging

MCV/BAMBI@MICCAI

Publications

Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study. IEEE Trans. Medical Imaging 40 (12) (2021)
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning. CoRR (2020)
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, Jingkuan Song, R. Graham Barr, Andrew F. Laine
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. MICCAI (1) (2017)
Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. CoRR (2016)
Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. MCV/BAMBI@MICCAI (2016)
Carol Friedman, Philip O. Alderson, John H. M. Austin, James J. Cimino, Stephen B. Johnson
Research Paper: A General Natural-language Text Processor for Clinical Radiology. J. Am. Medical Informatics Assoc. 1 (2) (1994)