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Mauro Namías

Showing results (1-10 of 10) with videos related to

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Biomedical Physics & Engineering Express|January 13, 2021
Improved PET quantification and harmonization by adaptive denoisingMauro Namías, Robert Jeraj
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|May 19, 2023
Longitudinal changes in metabolic network activity in early Alzheimer's diseaseMatej Perovnik, Chris C Tang, Mauro Namías, et al.
Physics in Medicine and Biology|September 2, 2022
Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal dataAlison Deatsch, Matej Perovnik, Mauro Namías, et al.
Medical Physics|June 8, 2024
A strategy for estimating radiation dose to the blood in outpatient settings in differentiated thyroid cancer therapy with <sup>131</sup>I-NaIMarina Alejandra Contardi, Mauro Namías, Guido Cragnolino, et al.
Biomedical Physics & Engineering Express|September 17, 2021
Image intensity histograms as imaging biomarkers: application to immune-related colitisDaniel T Huff, Peter Ferjancic, Mauro Namías, et al.
Diagnostics (Basel, Switzerland)|July 14, 2023
Synthetic Attenuation Correction Maps for SPECT Imaging Using Deep Learning: A Study on Myocardial Perfusion ImagingMariana Andrea Prieto Canalejo, Aley Palau San Pedro, Ricardo Geronazzo, et al.
Journal of Nuclear Medicine Technology|August 5, 2018
Protocols for Harmonized Quantification and Noise Reduction in Low-Dose Oncologic <sup>18</sup>F-FDG PET/CT ImagingMarcos A D Machado, Vinícius O Menezes, Mauro Namías, et al.
Physics in Medicine and Biology|October 7, 2025
Brain networks involved in cancer treatment response: insights from<sup>18</sup>F-FDG PET scansMauro Namías, Matej Perovnik, Daniel Huff, et al.
Medical Physics|February 5, 2016
Optimization of oncological ¹⁸F-FDG PET/CT imaging based on a multiparameter analysisVinicius O Menezes, Marcos A D Machado, Cleiton C Queiroz, et al.
Intensive Care Medicine Experimental|July 2, 2024
A machine-learning regional clustering approach to understand ventilator-induced lung injury: a proof-of-concept experimental studyPablo Cruces, Jaime Retamal, Andrés Damián, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Biomedical Physics & Engineering Express|January 13, 2021
Improved PET quantification and harmonization by adaptive denoisingMauro Namías, Robert Jeraj
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|May 19, 2023
Longitudinal changes in metabolic network activity in early Alzheimer's diseaseMatej Perovnik, Chris C Tang, Mauro Namías, et al.
Physics in Medicine and Biology|September 2, 2022
Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal dataAlison Deatsch, Matej Perovnik, Mauro Namías, et al.
Medical Physics|June 8, 2024
A strategy for estimating radiation dose to the blood in outpatient settings in differentiated thyroid cancer therapy with <sup>131</sup>I-NaIMarina Alejandra Contardi, Mauro Namías, Guido Cragnolino, et al.
Biomedical Physics & Engineering Express|September 17, 2021
Image intensity histograms as imaging biomarkers: application to immune-related colitisDaniel T Huff, Peter Ferjancic, Mauro Namías, et al.
Diagnostics (Basel, Switzerland)|July 14, 2023
Synthetic Attenuation Correction Maps for SPECT Imaging Using Deep Learning: A Study on Myocardial Perfusion ImagingMariana Andrea Prieto Canalejo, Aley Palau San Pedro, Ricardo Geronazzo, et al.
Journal of Nuclear Medicine Technology|August 5, 2018
Protocols for Harmonized Quantification and Noise Reduction in Low-Dose Oncologic <sup>18</sup>F-FDG PET/CT ImagingMarcos A D Machado, Vinícius O Menezes, Mauro Namías, et al.
Physics in Medicine and Biology|October 7, 2025
Brain networks involved in cancer treatment response: insights from<sup>18</sup>F-FDG PET scansMauro Namías, Matej Perovnik, Daniel Huff, et al.
Medical Physics|February 5, 2016
Optimization of oncological ¹⁸F-FDG PET/CT imaging based on a multiparameter analysisVinicius O Menezes, Marcos A D Machado, Cleiton C Queiroz, et al.
Intensive Care Medicine Experimental|July 2, 2024
A machine-learning regional clustering approach to understand ventilator-induced lung injury: a proof-of-concept experimental studyPablo Cruces, Jaime Retamal, Andrés Damián, et al.
Pageof 1