Martín Belzunce

Principal investigator
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Email
mbelzunceobfuscate@unsam.edu.ar

Electronic engineer and scientist with a PhD in image processing, focused on both fundamental research and the translational application of novel medical image processing methods. Experience includes designing and implementing a wide range of image processing and reconstruction algorithms in PET and SPECT imaging. Additionally, involved in the development of radiation detectors for nuclear medicine and other medical devices. Recent work has centered on the translational aspects of medical image processing, initially applying novel PET image reconstruction techniques to study brain disorders, followed by the application of image processing and deep learning methods for CT and MRI imaging in musculoskeletal applications.

Papers

Cognitive impact and brain structural changes in long COVID patients: a cross-sectional MRI study two years post infection in a cohort from Argentina

Gender similarities and differences in skeletal muscle and body composition: an MRI study of recreational cyclists

Mid-life cyclists preserve muscle mass and composition: a 3D MRI study

Reference values for volume, fat content and shape of the hip abductor muscles in healthy individuals from Dixon MRI

Intramuscular fat in gluteus maximus for different levels of physical activity

Automated multi-atlas segmentation of gluteus maximus from Dixon and T1-weighted magnetic resonance images

Automated measurement of fat infiltration in the hip abductors from Dixon magnetic resonance imaging

Technical Note: Ultra high-resolution radiotracer-specific digital pet brain phantoms based on the BigBrain atlas

Uncemented femoral stem orientation and position in total hip arthroplasty: A CT study

Enhancement of partial volume correction in MR-guided PET image reconstruction by using MRI voxel sizes

Simulation and Design Considerations of a Dual Layer Plastic Scintillator Intraoperative Probe for Radiolabeled Tumours

Assessment of the impact of modeling axial compression on PET image reconstruction

Time-invariant component-based normalization for a simultaneous PET-MR scanner