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Elsa D Angelini

Showing results (31-40 of 51) with videos related to

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The Lancet. Child & Adolescent Health|August 27, 2021
Birthweight and patterns of postnatal weight gain in very and extremely preterm babies in England and Wales, 2008-19: a cohort studySam F Greenbury, Elsa D Angelini, Kayleigh Ougham, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|March 6, 2012
A state-of-the-art review on segmentation algorithms in intravascular ultrasound (IVUS) imagesAmin Katouzian, Elsa D Angelini, Stéphane G Carlier, et al.
Scientific Reports|March 31, 2021
Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learningSam F Greenbury, Kayleigh Ougham, Jinyi Wu, et al.
IEEE Transactions on Bio-Medical Engineering|June 24, 2010
Whole-body pregnant woman modeling by digital geometry processing with detailed uterofetal unit based on medical imagesLazar Bibin, Jérémie Anquez, Juan Pablo de la Plata Alcalde, et al.
IEEE Journal of Biomedical and Health Informatics|January 4, 2019
Quantifying Brain [<sup>18</sup>F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging DataElisa Roccia, Arthur Mikhno, R Todd Ogden, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Non-invasive quantification of brain [¹⁸F]-FDG uptake by combining medical health records and dynamic PET imaging dataElisa Roccia, Arthur Mikhno, Francesca Zanderigo, et al.
IEEE Journal of Biomedical and Health Informatics|March 31, 2015
Toward noninvasive quantification of brain radioligand binding by combining electronic health records and dynamic PET imaging dataArthur Mikhno, Francesca Zanderigo, R Todd Ogden, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|September 13, 2024
ROBUST QUANTIFICATION OF PERCENT EMPHYSEMA ON CT VIA DOMAIN ATTENTION: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA) LUNG STUDYXuzhe Zhang, Elsa D Angelini, Eric A Hoffman, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 10, 2017
GENERATIVE METHOD TO DISCOVER EMPHYSEMA SUBTYPES WITH UNSUPERVISED LEARNING USING LUNG MACROSCOPIC PATTERNS (LMPS): THE MESA COPD STUDYJingkuan Song, Jie Yang, Benjamin Smith, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|August 10, 2010
QUANTITATIVE VALIDATION OF OPTICAL FLOW BASED MYOCARDIAL STRAIN MEASURES USING SONOMICROMETRYQi Duan, Katherine M Parker, Auranuch Lorsakul, et al.
Pageof 6

Showing results (31-40 of 51) with videos related to

Sort By:
Pageof 6
The Lancet. Child & Adolescent Health|August 27, 2021
Birthweight and patterns of postnatal weight gain in very and extremely preterm babies in England and Wales, 2008-19: a cohort studySam F Greenbury, Elsa D Angelini, Kayleigh Ougham, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|March 6, 2012
A state-of-the-art review on segmentation algorithms in intravascular ultrasound (IVUS) imagesAmin Katouzian, Elsa D Angelini, Stéphane G Carlier, et al.
Scientific Reports|March 31, 2021
Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learningSam F Greenbury, Kayleigh Ougham, Jinyi Wu, et al.
IEEE Transactions on Bio-Medical Engineering|June 24, 2010
Whole-body pregnant woman modeling by digital geometry processing with detailed uterofetal unit based on medical imagesLazar Bibin, Jérémie Anquez, Juan Pablo de la Plata Alcalde, et al.
IEEE Journal of Biomedical and Health Informatics|January 4, 2019
Quantifying Brain [<sup>18</sup>F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging DataElisa Roccia, Arthur Mikhno, R Todd Ogden, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Non-invasive quantification of brain [¹⁸F]-FDG uptake by combining medical health records and dynamic PET imaging dataElisa Roccia, Arthur Mikhno, Francesca Zanderigo, et al.
IEEE Journal of Biomedical and Health Informatics|March 31, 2015
Toward noninvasive quantification of brain radioligand binding by combining electronic health records and dynamic PET imaging dataArthur Mikhno, Francesca Zanderigo, R Todd Ogden, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|September 13, 2024
ROBUST QUANTIFICATION OF PERCENT EMPHYSEMA ON CT VIA DOMAIN ATTENTION: THE MULTI-ETHNIC STUDY OF ATHEROSCLEROSIS (MESA) LUNG STUDYXuzhe Zhang, Elsa D Angelini, Eric A Hoffman, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 10, 2017
GENERATIVE METHOD TO DISCOVER EMPHYSEMA SUBTYPES WITH UNSUPERVISED LEARNING USING LUNG MACROSCOPIC PATTERNS (LMPS): THE MESA COPD STUDYJingkuan Song, Jie Yang, Benjamin Smith, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|August 10, 2010
QUANTITATIVE VALIDATION OF OPTICAL FLOW BASED MYOCARDIAL STRAIN MEASURES USING SONOMICROMETRYQi Duan, Katherine M Parker, Auranuch Lorsakul, et al.
Pageof 6