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Elsa D Angelini

Showing results (21-30 of 51) with videos related to

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International Journal of Biomedical Imaging|February 7, 2008
Brain MRI segmentation with multiphase minimal partitioning: a comparative studyElsa D Angelini, Ting Song, Brett D Mensh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Classification of blood regions in IVUS images using three dimensional brushlet expansionsAmin Katouzian, M Selver, Elsa D Angelini, et al.
Biological Imaging|March 21, 2024
Fibrosis severity scoring on Sirius red histology with multiple-instance deep learningSneha N Naik, Roberta Forlano, Pinelopi Manousou, et al.
Medical Image Analysis|September 14, 2011
Differential MRI analysis for quantification of low grade glioma growthElsa D Angelini, Julie Delon, Alpha Boubacar Bah, et al.
Ultrasound in Medicine & Biology|September 24, 2005
Segmentation of real-time three-dimensional ultrasound for quantification of ventricular function: a clinical study on right and left ventriclesElsa D Angelini, Shunichi Homma, Gregory Pearson, et al.
IEEE Transactions on Medical Imaging|April 25, 2014
Adaptive quantification and longitudinal analysis of pulmonary emphysema with a hidden Markov measure field modelYrjo Hame, Elsa D Angelini, Eric A Hoffman, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 25, 2021
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image SegmentationZiyi Huang, Yu Gan, Theresa Lye, et al.
The Lancet. Child & Adolescent Health|February 19, 2022
Post-natal growth of very preterm neonates - Authors' replySam F Greenbury, Elsa D Angelini, Kayleigh Ougham, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 14, 2024
UNSUPERVISED DOMAIN ADAPTION WITH ADVERSARIAL LEARNING (UDAA) FOR EMPHYSEMA SUBTYPING ON CARDIAC CT SCANS: THE MESA STUDYJie Yang, Thomas Vetterli, Pallavi P Balte, et al.
BMJ Open|October 2, 2021
Changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic: a whole population cohort studySam F Greenbury, Nicholas Longford, Kayleigh Ougham, et al.
Pageof 6

Showing results (21-30 of 51) with videos related to

Sort By:
Pageof 6
International Journal of Biomedical Imaging|February 7, 2008
Brain MRI segmentation with multiphase minimal partitioning: a comparative studyElsa D Angelini, Ting Song, Brett D Mensh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Classification of blood regions in IVUS images using three dimensional brushlet expansionsAmin Katouzian, M Selver, Elsa D Angelini, et al.
Biological Imaging|March 21, 2024
Fibrosis severity scoring on Sirius red histology with multiple-instance deep learningSneha N Naik, Roberta Forlano, Pinelopi Manousou, et al.
Medical Image Analysis|September 14, 2011
Differential MRI analysis for quantification of low grade glioma growthElsa D Angelini, Julie Delon, Alpha Boubacar Bah, et al.
Ultrasound in Medicine & Biology|September 24, 2005
Segmentation of real-time three-dimensional ultrasound for quantification of ventricular function: a clinical study on right and left ventriclesElsa D Angelini, Shunichi Homma, Gregory Pearson, et al.
IEEE Transactions on Medical Imaging|April 25, 2014
Adaptive quantification and longitudinal analysis of pulmonary emphysema with a hidden Markov measure field modelYrjo Hame, Elsa D Angelini, Eric A Hoffman, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 25, 2021
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image SegmentationZiyi Huang, Yu Gan, Theresa Lye, et al.
The Lancet. Child & Adolescent Health|February 19, 2022
Post-natal growth of very preterm neonates - Authors' replySam F Greenbury, Elsa D Angelini, Kayleigh Ougham, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|October 14, 2024
UNSUPERVISED DOMAIN ADAPTION WITH ADVERSARIAL LEARNING (UDAA) FOR EMPHYSEMA SUBTYPING ON CARDIAC CT SCANS: THE MESA STUDYJie Yang, Thomas Vetterli, Pallavi P Balte, et al.
BMJ Open|October 2, 2021
Changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic: a whole population cohort studySam F Greenbury, Nicholas Longford, Kayleigh Ougham, et al.
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