Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Rasmus Reinhold Paulsen"'
Autor:
ASM Shihavuddin, Xiao Chen, Vladimir Fedorov, Anders Nymark Christensen, Nicolai Andre Brogaard Riis, Kim Branner, Anders Bjorholm Dahl, Rasmus Reinhold Paulsen
Publikováno v:
Energies, Vol 12, Iss 4, p 676 (2019)
Timely detection of surface damages on wind turbine blades is imperative for minimizing downtime and avoiding possible catastrophic structural failures. With recent advances in drone technology, a large number of high-resolution images of wind turbin
Externí odkaz:
https://doaj.org/article/5cb2cf3d2bb54926ada7a697d9a7a8d5
Autor:
Umaer Hanif, Stanley Yung-Chuan Liu, Adam Blackman, Rasmus Reinhold Paulsen, Anne Marie Morse, Paula K. Schweitzer, Clete A. Kushida, Emmanuel Mignot, Helge Bjarup Dissing Sørensen, Poul Jennum, Eileen B. Leary, Logan Schneider
Publikováno v:
Hanif, U, Leary, E, Schneider, L, Paulsen, R, Morse, A M, Blackman, A, Schweitzer, P, Kushida, C A, Liu, S, Jennum, P, Sorensen, H & Mignot, E 2021, ' Estimation of Apnea-Hypopnea Index Using Deep Learning on 3-D Craniofacial Scans ', IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 11, pp. 4185-4194 . https://doi.org/10.1109/JBHI.2021.3078127
Hanif, U, Leary, E B, Schneider, L D, Paulsen, R R, Morse, A M, Blackman, A, Schweitzer, P K, Kushida, C A, Liu, S Y, Jennum, P, Sorensen, H B D & Mignot, E 2021, ' Estimation of Apnea-Hypopnea Index using Deep Learning on 3D Craniofacial Scans ', IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 11, pp. 4185-4194 . https://doi.org/10.1109/JBHI.2021.3078127
Hanif, U, Leary, E B, Schneider, L D, Paulsen, R R, Morse, A M, Blackman, A, Schweitzer, P K, Kushida, C A, Liu, S Y, Jennum, P, Sorensen, H B D & Mignot, E 2021, ' Estimation of Apnea-Hypopnea Index using Deep Learning on 3D Craniofacial Scans ', IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 11, pp. 4185-4194 . https://doi.org/10.1109/JBHI.2021.3078127
Obstructive sleep apnea (OSA) is characterized by decreased breathing events that occur through the night, with severity reported as the apnea-hypopnea index (AHI), which is associated with certain craniofacial features. In this study, we used data f
Autor:
Liselotte Højgaard, Robert Frost, Oline Vinter Olesen, M. Dylan Tisdall, Camilo Jaimes, Stefan L. Glimberg, Rasmus Reinhold Paulsen, Paul Wighton, P. Ellen Grant, Jakob Mølkjær Slipsager, Borjan Gagoski, Andre van der Kouwe
Publikováno v:
Magn Reson Med
PURPOSE To compare prospective motion correction (PMC) and retrospective motion correction (RMC) in Cartesian 3D-encoded MPRAGE scans and to investigate the effects of correction frequency and parallel imaging on the performance of RMC. METHODS Head
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cceee0201b0baa9ec1faac3752c763e
https://europepmc.org/articles/PMC8635810/
https://europepmc.org/articles/PMC8635810/
Autor:
Oscar Camara, Xavier Iriart, Cesar Acebes, Hubert Cochet, Benoit Legghe, Xabier Morales Ferez, Kristine Aavild Juhl, Rasmus Reinhold Paulsen, Ole De Backer, Jordi Mill
Publikováno v:
Morales Ferez, X, Mill, J, Juhl, K A, Acebes, C, Iriart, X, Legghe, B, Cochet, H, De Backer, O, Paulsen, R R & Camara, O 2021, ' Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage ', Frontiers in Physiology, vol. 12, 694945 . https://doi.org/10.3389/fphys.2021.694945
Frontiers in Physiology
Frontiers in Physiology, Vol 12 (2021)
Frontiers in Physiology
Frontiers in Physiology, Vol 12 (2021)
Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation (AF) patients. Nonetheles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::761ebee2dc2ca15a6d54a15678ed0561
http://hdl.handle.net/10230/53539
http://hdl.handle.net/10230/53539
Facial and Cochlear Nerves Characterization Using Deep Reinforcement Learning for Landmark Detection
Autor:
Josefine Vilsbøll Sundgaard, Jan Margeta, Paula López Diez, François Patou, Rasmus Reinhold Paulsen
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
MICCAI (4)
We propose a pipeline for the characterization of facial and cochlear nerves in CT scans, a task specifically relevant for cochlear implant surgery planning. These structures are hard to locate in clinical CT scans due to their small size relative to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f81f220839abb2f006bd6f46848d406
https://doi.org/10.1007/978-3-030-87202-1_50
https://doi.org/10.1007/978-3-030-87202-1_50
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871956
MICCAI (2)
MICCAI (2)
The task of 3D shape classification is closely related to finding a good representation of the shapes. In this study, we focus on surface representations of complex anatomies and on how such representations can be utilized for super- and unsupervised
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5579d9fb9ae242507695a5d7483471d6
https://doi.org/10.1007/978-3-030-87196-3_38
https://doi.org/10.1007/978-3-030-87196-3_38
Autor:
Kristine Aavild Juhl, Rasmus Reinhold Paulsen, Ole De Backer, Jordi Mill, Guillem Simeon, Oscar Camara, Xabier Morales
Publikováno v:
International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Functional Imaging and Modeling of the Heart
Morales, X, Mill, J, Simeon, G, Juhl, K A, De Backer, O, Paulsen, R R & Camara, O 2021, Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage . in D B Ennis, L E Perotti & V Y Wang (eds), Functional Imaging and Modeling of the Heart . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12738 LNCS, pp. 639-649, 11 th International Conference on Functional Imaging and Modeling of the Heart, Virtual, Online, 21/06/2021 . https://doi.org/10.1007/978-3-030-78710-3_61
Functional Imaging and Modeling of the Heart ISBN: 9783030787097
FIMH
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Functional Imaging and Modeling of the Heart
Morales, X, Mill, J, Simeon, G, Juhl, K A, De Backer, O, Paulsen, R R & Camara, O 2021, Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage . in D B Ennis, L E Perotti & V Y Wang (eds), Functional Imaging and Modeling of the Heart . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12738 LNCS, pp. 639-649, 11 th International Conference on Functional Imaging and Modeling of the Heart, Virtual, Online, 21/06/2021 . https://doi.org/10.1007/978-3-030-78710-3_61
Functional Imaging and Modeling of the Heart ISBN: 9783030787097
FIMH
Comunicació presentada a: FIMH 2021 11th International Conference, celebrada del 21 al 25 de juny de 2021 a Stanford, CA, USA. The assessment of left atrial appendage (LAA) thrombogenesis has experienced major advances with the adoption of patient-s
Autor:
Rasmus Reinhold Paulsen, Oline Vinter Olesen, Lisbeth Marner, Helle Hjorth Johannesen, Alka Seth, Jakob Mølkjær Slipsager, Pernille Martens, Stefan L. Glimberg, Liselotte Højgaard, Otto M. Henriksen, Jes Søgaard
Publikováno v:
Slipsager, J M, Glimberg, S L, Søgaard, J, Paulsen, R R, Johannesen, H H, Martens, P C, Seth, A, Marner, L, Henriksen, O M, Olesen, O V & Højgaard, L 2020, ' Quantifying the Financial Savings of Motion Correction in Brain MRI : A Model-Based Estimate of the Costs Arising From Patient Head Motion and Potential Savings From Implementation of Motion Correction ', Journal of Magnetic Resonance Imaging, vol. 52, no. 3, pp. 731-738 . https://doi.org/10.1002/jmri.27112
Background: Patient head motion is a major concern in clinical brain MRI, as it reduces the diagnostic image quality and may increase examination time and cost. Purpose: To investigate the prevalence of MR images with significant motion artifacts on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ec1a8eb83767d7ec59dbd46e7d03247
https://findresearcher.sdu.dk:8443/ws/files/170405842/jmri.27112.pdf
https://findresearcher.sdu.dk:8443/ws/files/170405842/jmri.27112.pdf
Autor:
John Lusingu, Thor G. Theander, Rasmus Reinhold Paulsen, Eric Lyimo, Casper Hempel, AM Efunshile, Alphaxard Manjurano, Thomas Ramsing, Lars Emil Haslund, Christian W. Wang, Jørgen A. L. Kurtzhals, Victor A. Makene
Publikováno v:
Infect Immun
Lyimo, E, Haslund, L E, Ramsing, T, Wang, C W, Efunshile, A M, Manjurano, A, Makene, V, Lusingu, J, Theander, T G, Kurtzhals, J A L, Paulsen, R & Hempel, C 2020, ' In vivo imaging of the buccal mucosa shows loss of the endothelial glycocalyx and perivascular hemorrhages in pediatric Plasmodium falciparum malaria ', Infection and Immunity, vol. 88, no. 3, e00679-19 . https://doi.org/10.1128/iai.00679-19
Lyimo, E, Haslund, L E, Ramsing, T, Wang, C W, Efunshile, A M, Manjurano, A, Makene, V, Lusingu, J, Theander, T G, Kurtzhals, J A L, Paulsen, R & Hempel, C 2020, ' In vivo imaging of the buccal mucosa shows loss of the endothelial glycocalyx and perivascular hemorrhages in pediatric Plasmodium falciparum malaria ', Infection and Immunity, vol. 88, no. 3, e00679-19 . https://doi.org/10.1128/iai.00679-19
Severe malaria is mostly caused by Plasmodium falciparum, resulting in considerable, systemic inflammation and pronounced endothelial activation. The endothelium forms an interface between blood and tissue, and vasculopathy has previously been linked
Publikováno v:
Undergraduate Topics in Computer Science ISBN: 9783030393632
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d36a3defa134e02a86f1a513b12e48
https://doi.org/10.1007/978-3-030-39364-9_11
https://doi.org/10.1007/978-3-030-39364-9_11