Andrew Laine

Affiliations: 
Columbia University, New York, NY 
Area:
Biomedical, Biomechanics
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"Andrew Laine"

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Elsa D. Angelini grad student 2003 Columbia
Ralf Mekle grad student 2003 Columbia
Yinpeng Jin grad student 2004 Columbia
Duan Qi grad student 2008 Columbia
Ting Song grad student 2008 Columbia
Christopher M. Ingrassia grad student 2009 Columbia
Amin Katouzian grad student 2011 Columbia
Noah Lee grad student 2011 Columbia
Mohammad R. Taei-Tehrani grad student 2012 Columbia
Iliyana P. Atanasova grad student 2013 Columbia
Ouri Cohen grad student 2013 Columbia
Yrjo Hame grad student 2015 Columbia
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Publications

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Wang M, Aaron CP, Madrigano J, et al. (2019) Association Between Long-term Exposure to Ambient Air Pollution and Change in Quantitatively Assessed Emphysema and Lung Function. Jama. 322: 546-556
Yang J, Feng X, Laine A, et al. (2019) Characterizing Alzheimer's Disease with Image and Genetic Biomarkers using Supervised Topic Models. Ieee Journal of Biomedical and Health Informatics
Roccia E, Mikhno A, Ogden T, et al. (2019) Quantifying Brain [ F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data. Ieee Journal of Biomedical and Health Informatics
Yang J, Angelini ED, Balte PP, et al. (2017) Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10433: 116-124
Feng X, Yang J, Laine AF, et al. (2017) Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10435: 568-576
Aaron CP, Schwartz JE, Hoffman EA, et al. (2017) A Longitudinal Cohort Study of Aspirin Use and Progression of Emphysema-like Lung on CT: The MESA Lung Study. Chest
Yang J, Angelini ED, Smith BM, et al. (2017) Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. Medical Computer Vision and Bayesian and Graphical Models For Biomedical Imaging : Miccai 2016 International Workshops, McV and Bambi, Athens, Greece, October 21, 2016, Revised Selected Papers. McV (Workshop) (2016 : Athens, Greece). 2017: 69-80
Song J, Yang J, Smith B, et al. (2017) GENERATIVE METHOD TO DISCOVER EMPHYSEMA SUBTYPES WITH UNSUPERVISED LEARNING USING LUNG MACROSCOPIC PATTERNS (LMPS): THE MESA COPD STUDY. Proceedings. Ieee International Symposium On Biomedical Imaging. 2017: 375-378
Yang J, Angelini ED, Balte PP, et al. (2016) Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9901: 624-631
Jie Yang, Xinyang Feng, Angelini ED, et al. (2016) Texton and sparse representation based texture classification of lung parenchyma in CT images. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2016: 1276-1279
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