Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Elisa Rauseo"'
Autor:
Sucharitha Chadalavada, BSc, Kenneth Fung, Elisa Rauseo, MD, Aaron Lee, MD, PhD, BSc, Alborz Amir-Khalili, PhD, Jose Paiva, Hafiz Naderi, MD, Shantanu Banik, PhD, Mihaela Chirvasa, PhD, Magnus Jensen, MD, PhD, MSc, Nay Aung, Steffen Petersen, MBBS, DPhil
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100227- (2024)
Externí odkaz:
https://doaj.org/article/286ef77a46ea412490c3231b01d18ddb
Autor:
Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Elisa Rauseo, Polyxeni Gkontra, Steffen E. Petersen, Karim Lekadir, André Altmann, Petia Radeva, Gloria Menegaz
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Brain age can be estimated using different Magnetic Resonance Imaging (MRI) modalities including diffusion MRI. Recent studies demonstrated that white matter (WM) tracts that share the same function might experience similar alterations. Ther
Externí odkaz:
https://doaj.org/article/31f0dd7d214a42429c36d4a74f6a0815
Autor:
Musa Abdulkareem, Asmaa A. Kenawy, Elisa Rauseo, Aaron M. Lee, Alireza Sojoudi, Alborz Amir-Khalili, Karim Lekadir, Alistair A. Young, Michael R. Barnes, Philipp Barckow, Mohammed Y. Khanji, Nay Aung, Steffen E. Petersen
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
ObjectivesCurrently, administering contrast agents is necessary for accurately visualizing and quantifying presence, location, and extent of myocardial infarction (MI) with cardiac magnetic resonance (CMR). In this study, our objective is to investig
Externí odkaz:
https://doaj.org/article/620bbea8d48d4260b881410be59c7fc8
Autor:
Elisa Rauseo, Muhammad Omer, Alborz Amir-Khalili, Alireza Sojoudi, Thu-Thao Le, Stuart Alexander Cook, Derek John Hausenloy, Briana Ang, Desiree-Faye Toh, Jennifer Bryant, Calvin Woon Loong Chin, Jose Miguel Paiva, Kenneth Fung, Jackie Cooper, Mohammed Yunus Khanji, Nay Aung, Steffen Erhard Petersen
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2022)
BackgroundThe quantitative measures used to assess the performance of automated methods often do not reflect the clinical acceptability of contouring. A quality-based assessment of automated cardiac magnetic resonance (CMR) segmentation more relevant
Externí odkaz:
https://doaj.org/article/63ac92b2e79e4062a85744b398e8f625
Autor:
Musa Abdulkareem, Mark S. Brahier, Fengwei Zou, Elisa Rauseo, Ijeoma Uchegbu, Alexandra Taylor, Athanasios Thomaides, Peter J. Bergquist, Monvadi B. Srichai, Aaron M. Lee, Jose D. Vargas, Steffen E Petersen
Publikováno v:
Reviews in Cardiovascular Medicine, Vol 23, Iss 12, p 412 (2022)
Background: Recent studies have shown that epicardial adipose tissue (EAT) is an independent atrial fibrillation (AF) prognostic marker and has influence on the myocardial function. In computed tomography (CT), EAT volume (EATv) and density (EATd) ar
Externí odkaz:
https://doaj.org/article/e719ed5a9503432e8788f72b663ec05c
Autor:
Elisa Rauseo, Cristian Izquierdo Morcillo, Zahra Raisi-Estabragh, Polyxeni Gkontra, Nay Aung, Karim Lekadir, Steffen E. Petersen
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Background: Ischaemic heart disease (IHD) and cerebrovascular disease are two closely inter-related clinical entities. Cardiovascular magnetic resonance (CMR) radiomics may capture subtle cardiac changes associated with these two diseases providing n
Externí odkaz:
https://doaj.org/article/233b91e9d5514f1d8bc405f32b342241
Autor:
Dasa Zugwitz, Kenneth Fung, Nay Aung, Elisa Rauseo, Celeste McCracken, Jackie Cooper, Saloua El Messaoudi, Robert H. Anderson, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Robin Nijveldt
Publikováno v:
JACC: Cardiovascular Imaging. 15:1856-1866
Autor:
Musa Abdulkareem, Asmaa A. Kenawy, Elisa Rauseo, Aaron M. Lee, Alireza Sojoudi, Alborz Amir-Khalili, Karim Lekadir, Alistair A. Young, Michael R. Barnes, Philipp Barckow, Mohammed Y. Khanji, Nay Aung, Steffen E. Petersen
Publikováno v:
Abdulkareem, M, Kenawy, A A, Rauseo, E, Lee, A M, Sojoudi, A, Amir-Khalili, A, Lekadir, K, Young, A A, Barnes, M R, Barckow, P, Khanji, M Y, Aung, N & Petersen, S E 2022, ' Predicting post-contrast information from contrast agent free cardiac MRI using machine learning : Challenges and methods ', Frontiers in Cardiovascular Medicine, vol. 9, 894503 . https://doi.org/10.3389/fcvm.2022.894503
ObjectivesCurrently, administering contrast agents is necessary for accurately visualizing and quantifying presence, location, and extent of myocardial infarction (MI) with cardiac magnetic resonance (CMR). In this study, our objective is to investig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ac9bbaeabe26e8115593c948d2aa78
https://kclpure.kcl.ac.uk/ws/files/180792822/Predicting_post_contrast_information_ABDULKAREEM_Publishedonline27July2022_GOLD_VoR_CC_BY_.pdf
https://kclpure.kcl.ac.uk/ws/files/180792822/Predicting_post_contrast_information_ABDULKAREEM_Publishedonline27July2022_GOLD_VoR_CC_BY_.pdf
Autor:
Mohammed Y Khanji, Patricia B. Munroe, José Miguel Paiva, Celeste McCracken, Steffen E. Petersen, Stefan Neubauer, Jackie A. Cooper, Zahra Raisi-Estabragh, Stefan K. Piechnik, Nicholas C. Harvey, Elisa Rauseo, Luca Biasiolli, Betty Raman, Kenneth Fung
Publikováno v:
Aging Clinical and Experimental Research
Background Coronavirus disease 2019 (COVID-19) disproportionately affects older people. Observational studies suggest indolent cardiovascular involvement after recovery from acute COVID-19. However, these findings may reflect pre-existing cardiac phe
Autor:
Axel Bartoli, Alexis Jacquier, Elisa Rauseo, Maxime Guye, Mohammed Y Khanji, Monique Bernard, David Bendahan, Steffen E. Petersen, Badih Ghattas, Joris Fournel
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2021, 74, pp.102213. ⟨10.1016/j.media.2021.102213⟩
Medical Image Analysis, 2021, 74, pp.102213. ⟨10.1016/j.media.2021.102213⟩
In clinical applications, using erroneous segmentations of medical images can have dramatic consequences. Current approaches dedicated to medical image segmentation automatic quality control do not predict segmentation quality at slice-level (2D), re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45d7ebaca70afbaaceeec7b816cf0128
https://hal-amu.archives-ouvertes.fr/hal-03818732
https://hal-amu.archives-ouvertes.fr/hal-03818732