Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Martyna Dziadosz"'
Autor:
Benedetta Franceschiello, Simone Rumac, Tom Hilbert, Matthias Nau, Martyna Dziadosz, Giulio Degano, Christopher W. Roy, Anna Gaglianese, Giovanni Petri, Jérôme Yerly, Matthias Stuber, Tobias Kober, Ruud B. van Heeswijk, Micah M. Murray, Eleonora Fornari
Functional magnetic resonance imaging (fMRI) is a methodological cornerstone of neuroscience. Most studies measure blood-oxygen-level-dependent (BOLD) signal using echo-planar imaging (EPI), Cartesian sampling, and image reconstruction with a one-to-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ff3eeeed1ca941a570948f3021f8ad
https://doi.org/10.1101/2023.05.13.540663
https://doi.org/10.1101/2023.05.13.540663
Publikováno v:
Rizzo, Rudy; Dziadosz, Martyna; Kyathanahally, Sreenath P; Shamaei, Amirmohammad; Kreis, Roland (2023). Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. Magnetic resonance in medicine, 89(5), pp. 1707-1727. Wiley-Liss 10.1002/mrm.29561
PURPOSE The aims of this work are (1) to explore deep learning (DL) architectures, spectroscopic input types, and learning designs toward optimal quantification in MR spectroscopy of simulated pathological spectra; and (2) to demonstrate accuracy and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a25eb7fb74d20ae4552bd069fd61268
https://boris.unibe.ch/176145/1/Magnetic_Resonance_in_Med_-_2022_-_Rizzo_-_Quantification_of_MR_spectra_by_deep_learning_in_an_idealized_setting_.pdf
https://boris.unibe.ch/176145/1/Magnetic_Resonance_in_Med_-_2022_-_Rizzo_-_Quantification_of_MR_spectra_by_deep_learning_in_an_idealized_setting_.pdf
Autor:
Martyna Dziadosz, Maike Hoefemann, André Döring, Malgorzata Marjańska, Edward John Auerbach, Roland Kreis
Publikováno v:
Magnetic Resonance in Medicine. 88:1027-1038
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164514
Magnetic Resonance Spectroscopy (MRS) and Spectroscopic Imaging (MRSI) are non-invasive techniques to map tissue contents of many metabolites in situ in humans. Quantification is traditionally done via model fitting (MF), and Cramer Rao Lower Bounds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8468ebf6896819b7753a28720a0df34d
https://doi.org/10.1007/978-3-031-16452-1_68
https://doi.org/10.1007/978-3-031-16452-1_68
Publikováno v:
Magnetic resonance in medicineREFERENCES. 84(5)
PURPOSE To develop localization sequences for in vivo MR spectroscopy (MRS) on clinical scanners of 3 T to record spectra that are not influenced by magnetization transfer from water. METHODS Image-selected in vivo spectroscopy (ISIS) localization an
Autor:
Ruediger Schmidt, Eva Barbara Holzer, Anton Lechner, Laura Grob, Daniel Valuch, Andrea Apollonio, Arkadiusz Gorzawski, Philippe Belanger, Martyna Dziadosz, Daniel Wollmann, Matthieu Valette, Bjorn Lindstrom
Micrometer sized particles entering the LHC beam (the so-called Unidentified Falling Objects or UFOs) are a known cause of localized beam losses since the beginning of high intensity beam operation, however the origin of these particles is not fully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e0417d6eae412ddbca2a99e5377b9d6
http://cds.cern.ch/record/2670287
http://cds.cern.ch/record/2670287