Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Mohammad Golbabaee"'
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Electroencephalography (EEG) is a widely-used neuroimaging technique in Brain Computer Interfaces (BCIs) due to its non-invasive nature, accessibility and high temporal resolution. A range of input representations has been explored for BCIs.
Externí odkaz:
https://doaj.org/article/d6a86ff060fb4a2b8fcf2076d7d8fabd
Autor:
Pedro A. Gómez, Matteo Cencini, Mohammad Golbabaee, Rolf F. Schulte, Carolin Pirkl, Izabela Horvath, Giada Fallo, Luca Peretti, Michela Tosetti, Bjoern H. Menze, Guido Buonincontri
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
Abstract Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on these by assessing the most common Non-Cartesian readout trajecto
Externí odkaz:
https://doaj.org/article/05d2f38168cb46aeb7ef4f218b5fd783
Autor:
Wajiha Bano, Will Holmes, Rosie Goodburn, Mohammad Golbabaee, Amit Gupta, Sam Withey, Alison Tree, Uwe Oelfke, Andreas Wetscherek
Publikováno v:
Medical Physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::319fc9c27195bbe8f1c5bc8daa0830c9
https://doi.org/10.1002/mp.16479
https://doi.org/10.1002/mp.16479
Publikováno v:
Fatania, K, Pirkl, C M, Menzel, M I, Hall, P & Golbabaee, M 2022, A Plug-and-Play Approach To Multiparametric Quantitative MRI : Image Reconstruction Using Pre-Trained Deep Denoisers . in ISBI 2022-Proceedings : 2022 IEEE International Symposium on Biomedical Imaging ., 9761603, Proceedings-International Symposium on Biomedical Imaging, vol. 2022-March, IEEE, U. S. A., 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, 28/03/22 . https://doi.org/10.1109/ISBI52829.2022.9761603
Current spatiotemporal deep learning approaches to Magnetic Resonance Fingerprinting (MRF) build artefact-removal models customised to a particular k-space subsampling pattern which is used for fast (compressed) acquisition. This may not be useful wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4baf0ff5cabb91e1fd719354c6e8467
http://arxiv.org/abs/2202.05269
http://arxiv.org/abs/2202.05269
Autor:
Florian Kofler, Carolin M. Pirkl, Marion Smits, Bjoern H. Menze, Matteo Cencini, Sebastian Endt, Mohammad Golbabaee, Marion I. Menzel, Guido Buonincontri, Rolf F. Schulte, Benedikt Wiestler, Lioba Grundl, Pedro A. Gómez, Laura Nunez-Gonzalez, Juan Antonio Hernández-Tamames
Publikováno v:
Neuroradiology
Neuroradiology, 63(11), 1831-1851. Springer-Verlag
Diagnostic Neuroradiology
Neuroradiology, 63(11), 1831-1851. Springer-Verlag
Diagnostic Neuroradiology
Purpose Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0fa525c5d1fdb2efc99de855755f16f
https://pubmed.ncbi.nlm.nih.gov/33835238
https://pubmed.ncbi.nlm.nih.gov/33835238
Autor:
Giada Fallo, Guido Buonincontri, Bjoern H. Menze, Rolf F. Schulte, Michela Tosetti, Matteo Cencini, Luca Peretti, Mohammad Golbabaee, Izabela Horvath, Carolin M. Pirkl, Pedro A. Gómez
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
Novel methods for quantitative, transient-state multiparametric imaging are increasingly being demonstrated for assessment of disease and treatment efficacy. Here, we build on these by assessing the most common Non-Cartesian readout trajectories (2D/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acf45464f69c2e2c37f69e0812edee07
https://www.zora.uzh.ch/id/eprint/198438/
https://www.zora.uzh.ch/id/eprint/198438/
Autor:
Mohammad Golbabaee, Clarice Poon
We propose a novel numerical approach to separate multiple tissue compartments in image voxels and to estimate quantitatively their nuclear magnetic resonance (NMR) properties and mixture fractions, given magnetic resonance fingerprinting (MRF) measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f90fd1b7d361fe05ee90c5955eac377
Publikováno v:
Tang, J, Egiazarian, K, Golbabaee, M & Davies, M 2020, ' The Practicality of Stochastic Optimization in Imaging Inverse Problems ', IEEE Transactions on Computational Imaging, vol. 6, pp. 1471-1485 . https://doi.org/10.1109/TCI.2020.3032101
IEEE Transactions on Computational Imaging
IEEE Transactions on Computational Imaging
In this work we investigate the practicality of stochastic gradient descent and recently introduced variants with variance-reduction techniques in imaging inverse problems. Such algorithms have been shown in the machine learning literature to have op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b34f3cd6be553f72acf96347477ad8f
https://trepo.tuni.fi/handle/10024/132330
https://trepo.tuni.fi/handle/10024/132330
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122
MICCAI (2)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020-23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II
MICCAI (2)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020-23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II
Consistency of the predictions with respect to the physical forward model is pivotal for reliably solving inverse problems. This consistency is mostly un-controlled in the current end-to-end deep learning methodologies proposed for the Magnetic Reson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d7042c25b97c65b53100a27c1080b75
https://doi.org/10.1007/978-3-030-59713-9_2
https://doi.org/10.1007/978-3-030-59713-9_2
Autor:
Mohammad Golbabaee, Tobias Kober, Wajiha Bano, Michael Davies, Gian Franco Piredda, Jean-Philippe Thiran, Reto Meuli, Ian Marshall, Tom Hilbert
Publikováno v:
Bano, W, Piredda, G F, Davies, M, Marshall, I, Golbabaee, M, Kober, T, Thiran, J-P, Meuli, R & Hilbert, T 2019, ' Model-Based Super-Resolution Reconstruction of T2 Maps ', Magnetic Resonance in Medicine . https://doi.org/10.1002/mrm.27981
Purpose High-resolution isotropic T-2 mapping of the human brain with multi-echo spin-echo (MESE) acquisitions is challenging. When using a 2D sequence, the resolution is limited by the slice thickness. If used as a 3D acquisition, specific absorptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5da9031964de80919fa604ced52821f0
https://www.pure.ed.ac.uk/ws/files/107411098/SRT2_manuscript_cleancopy.pdf
https://www.pure.ed.ac.uk/ws/files/107411098/SRT2_manuscript_cleancopy.pdf