Elsa D. Angelini, Ph.D.

2003 Columbia University, New York, NY 
Biomedical, Biomechanics
"Elsa Angelini"


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Andrew Laine grad student 2003 Columbia
 (Spatio-temporal analysis of three-dimensional real -time ultrasound for quantification of ventricular function.)
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Yang J, Angelini ED, Balte PP, et al. (2021) Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: the Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study. Ieee Transactions On Medical Imaging
Greenbury SF, Ougham K, Wu J, et al. (2021) Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learning. Scientific Reports. 11: 7178
Huang Z, Gan Y, Lye T, et al. (2020) Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12261: 782-791
Yang G, Chen J, Gao Z, et al. (2020) Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention. Future Generations Computer Systems : Fgcs. 107: 215-228
Angelini E, Dahan S, Shah A. (2019) Unravelling Machine Learning - Insights in Respiratory Medicine. The European Respiratory Journal
Ebrahimi S, Gajny L, Vergari C, et al. (2019) Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method. European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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
Ling Y, Meiniel W, Singh-Moon R, et al. (2019) Compressed sensing-enabled phase-sensitive swept-source optical coherence tomography. Optics Express. 27: 855-871
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
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