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R. Graham Barr
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2020 – today
- 2024
- [c18]Sneha N. Naik, Elsa D. Angelini, R. Graham Barr, Norrina Allen, Alain Bertoni, Eric A. Hoffman, Ani Manichaikul, Jim Pankow, Wendy Post, Yifei Sun, Karol E. Watson, Benjamin M. Smith, Andrew F. Laine:
Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study. ISBI 2024: 1-5 - [c17]Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Robust Quantification of Percent Emphysema on CT Via Domain Attention: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. ISBI 2024: 1-5 - [i5]Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. CoRR abs/2402.18383 (2024) - [i4]Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi, Yifei Sun, Karen Hinkley Stukovsky, Karol E. Watson, MeiLan K. Han, Erin D. Michos, Alejandro P. Comellas, Eric A. Hoffman, Andrew F. Laine, R. Graham Barr, Elsa D. Angelini:
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies. CoRR abs/2403.00257 (2024) - 2023
- [c16]Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, John Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine:
Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. ISBI 2023: 1-5 - [c15]Muhammad F. A. Chaudhary, Seyed Soheil Hosseini, R. Graham Barr, Joseph M. Reinhardt, Eric A. Hoffman, Sarah E. Gerard:
Bridging the Task Barriers: Online Knowledge Distillation Across Tasks for Semi-supervised Mediastinal Segmentation in CT. MLMI@MICCAI (1) 2023: 310-319 - 2022
- [j3]Yue Pan, Di Wang, Muhammad F. A. Chaudhary, Wei Shao, Sarah E. Gerard, Oguz C. Durumeric, Surya P. Bhatt, R. Graham Barr, Eric A. Hoffman, Joseph M. Reinhardt, Gary E. Christensen:
Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS. J. Imaging 8(11): 309 (2022) - 2021
- [j2]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): 3652-3662 (2021) - [c14]Artur Wysoczanski, Elsa D. Angelini, Benjamin M. Smith, Eric A. Hoffman, Grant T. Hiura, Yifei Sun, R. Graham Barr, Andrew F. Laine:
Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study. ISBI 2021: 1568-1572 - [i3]Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah E. Gerard, David W. Kaczka, Amin Motahari, Eric A. Hoffman, Joseph M. Reinhardt, R. Graham Barr, Elsa D. Angelini, Andrew Laine:
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans. CoRR abs/2106.07608 (2021) - 2020
- [c13]Yue Pan, Gary E. Christensen, Oguz C. Durumeric, Sarah E. Gerard, Surya P. Bhatt, R. Graham Barr, Eric A. Hoffman, Joseph M. Reinhardt:
Assessment of Lung Biomechanics in COPD Using Image Registration. ISBI 2020: 1891-1895 - [i2]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 abs/2007.04978 (2020)
2010 – 2019
- 2019
- [c12]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: 289-293 - [c11]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: 1212-1215 - 2017
- [c10]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: 375-378 - [c9]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: 116-124 - 2016
- [c8]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: 69-80 - [c7]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: 624-631 - [i1]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 abs/1612.01820 (2016) - 2015
- [c6]Yrjö Tapio Hame, Elsa D. Angelini, Megha A. Parikh, Benjamin M. Smith, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine:
Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study. ISBI 2015: 109-113 - [c5]Yrjo Horne, Elsa D. Angelini, R. Graham Barr, Andrew F. Laine:
Equating emphysema scores and segmentations across CT reconstructions: A comparison study. ISBI 2015: 629-632 - 2014
- [j1]Yrjö Tapio Hame, Elsa D. Angelini, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine:
Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model. IEEE Trans. Medical Imaging 33(7): 1527-1540 (2014) - 2013
- [c4]Yrjö Tapio Hame, Elsa D. Angelini, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine:
Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field model. ISBI 2013: 382-385 - 2010
- [c3]Brad M. Keller, Anthony P. Reeves, R. Graham Barr, David F. Yankelevitz, Claudia I. Henschke:
Variation compensation and analysis on diaphragm curvature analysis for emphysema quantification on whole lung CT scans. Medical Imaging: Computer-Aided Diagnosis 2010: 762432
2000 – 2009
- 2009
- [c2]Brad M. Keller, Anthony P. Reeves, David F. Yankelevitz, Claudia I. Henschke, R. Graham Barr:
Emphysema quantification from CT scans using novel application of diaphragm curvature estimation: comparison with standard quantification methods and pulmonary function data. Medical Imaging: Computer-Aided Diagnosis 2009: 726032 - 2008
- [c1]Brad M. Keller, Anthony P. Reeves, Claudia I. Henschke, R. Graham Barr, David F. Yankelevitz:
Variation of quantitative emphysema measurements from CT scans. Medical Imaging: Computer-Aided Diagnosis 2008: 69152I
Coauthor Index
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last updated on 2024-09-09 01:19 CEST by the dblp team
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