Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mariappan Nadar"'
Autor:
Kambiz Nael, Eli Gibson, Chen Yang, Pascal Ceccaldi, Youngjin Yoo, Jyotipriya Das, Amish Doshi, Bogdan Georgescu, Nirmal Janardhanan, Benjamin Odry, Mariappan Nadar, Michael Bush, Thomas J. Re, Stefan Huwer, Sonal Josan, Heinrich von Busch, Heiko Meyer, David Mendelson, Burton P. Drayer, Dorin Comaniciu, Zahi A. Fayad
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract With the rapid growth and increasing use of brain MRI, there is an interest in automated image classification to aid human interpretation and improve workflow. We aimed to train a deep convolutional neural network and assess its performance
Externí odkaz:
https://doaj.org/article/1dfb4bbd8eff4505b1963e02abf093e9
Autor:
Judith Herrmann, Gregor Koerzdoerfer, Dominik Nickel, Mahmoud Mostapha, Mariappan Nadar, Sebastian Gassenmaier, Thomas Kuestner, Ahmed E. Othman
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1484 (2021)
Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common examinations in clinical routine. The application of Deep Learning (DL) reconstruction for MRI is increasingly gaining attention due to its potential to improve
Externí odkaz:
https://doaj.org/article/293f5898eaf04f24b320766bb135a989
Autor:
Haidara Almansour, Judith Herrmann, Sebastian Gassenmaier, Saif Afat, Johann Jacoby, Gregor Koerzdoerfer, Dominik Nickel, Mahmoud Mostapha, Mariappan Nadar, Ahmed E. Othman
Publikováno v:
Radiology. 306
Background Deep learning (DL)-based MRI reconstructions can reduce examination times for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based reconstructions of rapidly acquired, undersampled spine MRI are needed. Purpose To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cec2501c6a402e80dffe27e0d53c1a0
https://doi.org/10.1148/radiol.212922
https://doi.org/10.1148/radiol.212922
Autor:
Guillaume Daval‐Frérot, Aurélien Massire, Boris Mailhe, Mariappan Nadar, Alexandre Vignaud, Philippe Ciuciu
Publikováno v:
Magnetic resonance in medicine. 88(4)
Patient-induced inhomogeneities in the magnetic field cause distortions and blurring during acquisitions with long readouts such as in susceptibility-weighted imaging (SWI). Most correction methods require collecting an additionalThe staticThe main s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2118bebee1eadc60a2a9187fd84df68a
https://pubmed.ncbi.nlm.nih.gov/35735217
https://pubmed.ncbi.nlm.nih.gov/35735217
Autor:
Othman, Judith Herrmann, Gregor Koerzdoerfer, Dominik Nickel, Mahmoud Mostapha, Mariappan Nadar, Sebastian Gassenmaier, Thomas Kuestner, Ahmed E.
Publikováno v:
Diagnostics; Volume 11; Issue 8; Pages: 1484
Magnetic Resonance Imaging (MRI) of the musculoskeletal system is one of the most common examinations in clinical routine. The application of Deep Learning (DL) reconstruction for MRI is increasingly gaining attention due to its potential to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::cb038d46c36605d3adcd10eb27dd53fc
Autor:
Dr. Boris Mailhe, US-Princeton, New Jersey, Dr. Benjamin Odry, US-Princeton, New Jersey, Pascal Ceccaldi, US-Princeton, New Jersey, Dr. Mariappan Nadar, US-Princeton, New Jersey
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2e70247e4848c4ccb4802aa965c4e6
Autor:
Qiu Wang, US-Princeton, New Jersey, Dr. Boris Mailhe, US-Princeton, New Jersey, Dr. Mathias Nittka, DE-Erlangen, Dr. Esther Raithel, DE-Erlangen, Dr. Mariappan Nadar, US-Princeton, New Jersey
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807c15df68032a4a011d2853acbea666
Autor:
H Ertan, Cetingul, H Ertan, Cetingül, Mariappan, Nadar, Paul, Thompson, Guillermo, Sapiro, Christophe, Lenglet
Publikováno v:
EMBC
We consider the problem of tracking white matter fibers in high angular resolution diffusion imaging (HARDI) data while simultaneously estimating the local fiber orientation profile. Prior work showed that an unscented Kalman filter (UKF) can be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa991a1207f1efaef5023adab8bf604
https://doi.org/10.1109/embc.2012.6345877
https://doi.org/10.1109/embc.2012.6345877
Publikováno v:
Proceedings of SPIE; Nov2005, Issue 1, p22-31, 10p