Approximation results
by sampling-type operators and their generalizations in functional spaces.
Welcome to 'Mathematical Methods and Models for Biomedical Applications.' We are reserarching to apply mathematical techniques for:
Precise medical imaging with Segmentation and Registration Algorithms.
Fundamental exploration in Real Analysis and Operator Theory.
Innovations in Approximation using Neural Network operators for imaging applications.
Advancements in Approximation results with sampling-type operators in functional spaces.
Uncover the hidden dynamics of biomedical phenomena through advanced mathematical modeling. Drive precision in diagnostics, treatment strategies, and epidemiological predictions. Elevate healthcare solutions by integrating cutting-edge mathematics into the core of biomedical applications.
Meet the team
Project Director
Executive Manager
Assistant Manager
Dean, Faculty of Sciences, Sibiu
Emeritus Professor, UTCN
Lecturer, Lucian Blaga University of Sibiu
Assistant Professor, ULBS
Post Ph.D. ULBS
Ph.D. Student, ULBS
Ph.D. Student, ULBS
Ph.D. University of Florence
Master's Student, ULBS
Master's Student, ULBS
Assistant Professor, ULBS
Junior Lecturer, ULBS
Here are the main works we done until now,
but this section is still work in progress.
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