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Resultats globals: 2 registres trobats en 0.02 segons.
Articles, 2 registres trobats
Articles 2 registres trobats  
1.
15 p, 2.9 MB Adopting transfer learning for neuroimaging : a comparative analysis with a custom 3D convolution neural network model / Soliman, Amira (Halmstad University) ; Chang, Jose R. (National Cheng Kung University in Tainan) ; Etminani, Kobra (Halmstad University) ; Byttner, Stefan (Halmstad University) ; Davidsson, Anette (Institution of Medicine and Health Sciences) ; Martínez-Sanchis, Begoña (Hospital Universitari i Politècnic La Fe (València)) ; Camacho, Valle (Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya)) ; Bauckneht, Matteo (IRCCS Ospedale Policlinico San Martino) ; Stegeran, Roxana (Linköping University Hospital) ; Ressner, Marcus (Linköping University Hospital) ; Agudelo-Cifuentes, Marc (Hospital Universitari i Politècnic La Fe (València)) ; Chincarini, Andrea (National Institute of Nuclear Physics) ; Brendel, Matthias (University Hospital) ; Rominger, Axel (University Hospital Bern) ; Bruffaerts, Rose (University of Antwerp) ; Vandenberghe, Rik (University Hospitals Leuven (Bèlgica)) ; Kramberger, Milica G. (University Medical Centre) ; Trost, Maja (Univerza V Ljubljani) ; Nicastro, Nicolas (Geneva University Hospitals (Suïssa)) ; Frisoni, Giovanni B. (University Hospitals) ; Lemstra, Afina W. (VU Medical Center Alzheimer Center) ; Berckel, Bart N. M. van (Vrije Universiteit Amsterdam) ; Pilotto, Andrea (University of Brescia) ; Padovani, Alessandro (IRCCS Ospedale Policlinico San Martino) ; Morbelli, Silvia (Stavanger University Hospital) ; Aarsland, Dag (King's College London) ; Nobili, Flavio (University of Genoa) ; Garibotto, Valentina (Geneva University) ; Ochoa-Figueroa, Miguel (Linköping University) ; Universitat Autònoma de Barcelona
In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually challenged by lack of labeled data. [...]
2022 - 10.1186/s12911-022-02054-7
BMC Medical Informatics and Decision Making, Vol. 22 (december 2022)  
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2.
22 p, 3.7 MB A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET / Etminani, Kobra (Center for Applied Intelligent Systems Research (CAISR). Halmstad University) ; Soliman, Amira (Center for Applied Intelligent Systems Research (CAISR). Halmstad University) ; Davidsson, Anette (Department of Clinical Physiology. Department of Health. Medicine and Caring Sciences. Linköping University) ; Chang, Jose R. (National Cheng Kung University in Tainan) ; Martínez-Sanchis, Begoña (Hospital Universitari i Politècnic La Fe (València)) ; Byttner, Stefan (Center for Applied Intelligent Systems Research (CAISR). Halmstad University) ; Camacho, Valle (Institut d'Investigació Biomèdica Sant Pau) ; Bauckneht, Matteo (Nuclear Medicine Unit. IRCCS Ospedale Policlinico San Martino) ; Stegeran, Roxana (Department of Diagnostic Radiology. Linköping University Hospital) ; Ressner, Marcus (Department of Medical Physics. Linköping University Hospital) ; Agudelo-Cifuentes, Marc (Hospital Universitari i Politècnic La Fe (València)) ; Chincarini, Andrea (National Institute of Nuclear Physics (INFN)) ; Brendel, Matthias (Department of Nuclear Medicine. University Hospital. LMU Munich) ; Rominger, Axel (Department of Nuclear Medicine. Inselspital. University Hospital Bern) ; Bruffaerts, Rose (Biomedical Research Institute. Hasselt University) ; Vandenberghe, Rik (Neurology Department. University Hospitals Leuven) ; Kramberger, Milica G. (Department of Neurology. University Medical Centre) ; Trost, Maja (Univerza V Ljubljani) ; Nicastro, Nicolas (Department of Clinical Neurosciences. Geneva University Hospitals) ; Frisoni, Giovanni B. (LANVIE (Laboratoire de Neuroimagerie du Vieillissement). Department of Psychiatry. University Hospitals) ; Lemstra, Afina W. (Department of Neurology. Alzheimer Center) ; van Berckel, Bart N.M. (Department of Radiology & Nuclear Medicine. Amsterdam UMC. location VUmc) ; Pilotto, Andrea (Parkinson's Disease Rehabilitation Centre) ; Padovani, Alessandro (Neurology Unit. Department of Clinical and Experimental Sciences. University of Brescia) ; Morbelli, Silvia (Department of Health Sciences. University of Genoa) ; Aarsland, Dag (Department of Old Age Psychiatry. Institute of Psychiatry. Psychology and Neuroscience. King's College London) ; Nobili, Flavio (Clinical Neurology. IRCCS Ospedale Policlinico San Martino) ; Garibotto, Valentina (Division of Nuclear Medicine and Molecular Imaging. University Hospitals of Geneva and NIMTLab. Faculty of Medicine. University of Geneva) ; Ochoa-Figueroa, Miguel (Center for Medical Image Science and Visualization (CMIV). Linköping University) ; Universitat Autònoma de Barcelona
Purpose: The purpose of this study is to develop and validate a 3D deep learning model that predicts the final clinical diagnosis of Alzheimer's disease (AD), dementia with Lewy bodies (DLB), mild cognitive impairment due to Alzheimer's disease (MCI-AD), and cognitively normal (CN) using fluorine 18 fluorodeoxyglucose PET (18F-FDG PET) and compare model's performance to that of multiple expert nuclear medicine physicians' readers. [...]
2022 - 10.1007/s00259-021-05483-0
European Journal of Nuclear Medicine and Molecular Imaging, Vol. 49 Núm. 2 (january 2022) , p. 563-584  
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