Leonardo (Coito) Coito Pereyra
Researcher and Project Manager
Experience
Researcher and Project Manager
E-COM
- Provided iterative algorithms to recover the true acquisition geometry in digital breast and chest tomosynthesis across multiple uncertainty scenarios.
- Delivered specialized software products to E-COM, Beijing, China.
Postdoctoral Researcher in Medical Imaging
Radboud University Medical Center
- Developed an algorithm for iodine quantification to characterize tumor lesions in dual-energy digital breast tomosynthesis (DBT).
- Studied multiple iterative discrete reconstruction methods and created a model-based accretion method.
- Employed deep learning to uncover hidden patterns in breast imaging data.
- Developed a new version of the Learned Experts’ Assessment-Based Reconstruction Network (LEARN) tailored for DBT imaging.
- Expanded the method to reconstruct material fractions for accurate dual-energy material decomposition.
Main Researcher, Quantitative Imaging Project
Screenpoint Medical and Siemens Healthineers
- Assessed the image reconstruction and material decomposition capabilities of Siemens’ digital breast tomosynthesis system.
- Communicated state-of-the-art methods and protocols to the NWO Talent Programme, Screenpoint Medical, and Siemens Healthineers.
Teaching Assistant, Level 1, Physics Institute, Faculty of Sciences
University of the Republic
- Taught introduction to electromagnetism and first- and second-year laboratory courses for engineers and physicists.
- Conducted a beginner-level physics course for chemists.
Teaching Assistant, Level 1, Physics Institute, Faculty of Engineering
University of the Republic
- Taught introduction to electromagnetism and first- and second-year laboratory courses for engineers and physicists.
- Conducted a beginner-level physics course for chemists.
Skills
Study Of The Origin Of Masses In The Standard Model Of Elementary Particles.
Analysis Of The Generation Of Masses For Active And Sterile Neutrinos With Special Attention To Seesaw-type Models, Including Inverse Seesaw.
Study Of Methods For A Dark Matter Candidate To Explain The Relic Abundance Observed Today In The Universe, Particularly Within The Freeze-out Mechanism Framework. Experience With Processes Leading To Kinetic And Chemical Equilibrium Between The Dark And Visible Sectors.
Image Reconstruction In Limited-angle Tomography For Breast And Chest Imaging, Especially Digital Breast And Chest Tomosynthesis. This Includes Two Reconstruction Approaches. On One Hand, Model-based Algorithms Using Knowledge Of The Underlying Physics Or Characteristics Of Image Acquisition. On The Other Hand, Deep Learning Reconstruction Methods That Capture Anatomical Feature Patterns In Tissue Structures.
Development Of Iterative Algorithms To Recover The True Acquisition Geometry In Digital Breast And Chest Tomosynthesis Across Various Uncertainty Scenarios.
Mathematica, Python, C++, Matlab.
Python Packages: Tensorflow, Pytorch, Scikit-learn.
Languages
Education
University of Valencia, Department of Physics
PhD in Nuclear Particle Physics · Nuclear Particle Physics · Valencia, Spain
Faculty of Sciences, University of the Republic
Master in Physics · Physics · Montevideo, Uruguay
Faculty of Sciences, University of the Republic
Licentiate in Physics · Physics · Montevideo, Uruguay
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