Andrew Laine
Affiliations: | Columbia University, New York, NY |
Area:
Biomedical, BiomechanicsGoogle:
"Andrew Laine"Children
Sign in to add traineeElsa 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 |