Benjamin M. Smith

According to our database, Benjamin M. Smith authored at least 10 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.

Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

CoRR, 2024

2023

Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography.

Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, J. Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2021

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study.

Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

IEEE Trans. Medical Imaging, 2021

Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study.

Artur Wysoczanski, Elsa D. Angelini, Benjamin M. Smith, Eric A. Hoffman, Grant T. Hiura, Yifei Sun, R. Graham Barr, Andrew F. Laine

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning.

Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

CoRR, 2020

2019

Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study.

Yu Gan, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, Christine P. Hendon, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017

Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study.

Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study.

Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

2015

Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study.

Yrjö Tapio Hame, Elsa D. Angelini, Megha A. Parikh, Benjamin M. Smith, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015