Pallavi P. Balte

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 7

Top Topics

Unsupervised Learning

Image Segmentation

Top Venues

IEEE Trans. Medical Imaging

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)
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
Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. ISBI (2019)
Jie Yang, Thomas Vetterli, Pallavi P. Balte, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini
Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study. ISBI (2019)
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)
Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. ISBI (2017)
Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, Colin O. Wu, Bharath A. Venkatesh, R. Graham Barr, Andrew F. Laine
Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study. MICCAI (2) (2016)