Mauro Namias

8PUBLICATIONS
33CO-AUTHORS
Data structures and algorithmsVeterinary diagnosis and diagnosticsPredictive and prognostic markersComputational imagingCognition
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Publications (8)

|Jul 31, 2026
Automated patient-derived noise power spectrum estimation in abdominal CT: a preliminary validation.

|Jul 14, 2026
Maintaining SUV accuracy in low-count PET with PETfectior: a deep learning denoising solution.

|Oct 07, 2025
Brain networks involved in cancer treatment response: insights from18F-FDG PET scans.

Mauro Namías, Matej Perovnik, Daniel Huff

|Jul 14, 2023
Synthetic Attenuation Correction Maps for SPECT Imaging Using Deep Learning: A Study on Myocardial Perfusion Imaging.

Mariana Andrea Prieto Canalejo, Aley Palau San Pedro, Ricardo Geronazzo

|Apr 20, 2023
Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography.

Marcos A D Machado, Ronnyldo R E Silva, Mauro Namias

|Sep 02, 2022
Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data.

Alison Deatsch, Matej Perovnik, Mauro Namías

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Frequent Collaborators

3 joint publications

Robert Jeraj

2 joint publications

Daniel T Huff

1 joint publications

Amy J Weisman

1 joint publications

Tyler J Bradshaw