Ma.Me.Mo.Bi.A

Revolutionizing healthcare with advanced mathematics in imaging, segmentation, and disease diagnosis

Mathematical Models

From deciphering biological systems to enhancing medical imaging, our models, rooted in mathematical precision.

Biomedical Applications

The versatility of mathematical models in decoding biological mysteries, advancing medical imaging, and revolutionizing epidemiological insights.

About Images

About Us

Welcome to 'Mathematical Methods and Models for Biomedical Applications.' We are reserarching to apply mathematical techniques for:



The Following Objectives



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.

Team

Meet the team

Team Images

Gianluca Vinti

Project Director

Team Images

Ana Maria Acu

Executive Manager

Team Images

Daniela Trocan

Assistant Manager

Team Images

Florin Sofonea

Dean, Faculty of Sciences, Sibiu

Team Images

Ioan Rașa

Emeritus Professor, UTCN

Team Images

Augusta Rațiu

Lecturer, Lucian Blaga University of Sibiu

Team Images

Miruna-Ştefana Sorea

Assistant Professor, ULBS

Team Images

Cristina Cismaș (Brumar)

Post Ph.D. ULBS

Team Images

Pepenar Alin

Ph.D. Student, ULBS

Team Images

Sergiu-Vlad Paşca

Ph.D. Student, ULBS

Team Images

Arianna Travaglini

Ph.D. University of Florence

Team Images

Mihai Ilina

Master's Student, ULBS

Team Images

Chivu Georgian-Cristian

Master's Student, ULBS

Team Images

Ovio Olaru

Assistant Professor, ULBS

Team Images

Martin Anca Simina

Junior Lecturer, ULBS

Papers

  • [1] Ana-Maria Acu, Ioan Rasa, Ancuta Emilia Steopoaie, Bernstein-Kantorovich operators, approximation and shape preserving properties, Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 118, 107 (2024).
  • [2] A.M. Acu, Ioan Rasa, G. Motronea, Bernstein polynomials and dual functionals, Bulletin of the Transilvania University of Brasov, Series III: Mathematics and Computer Science, 65(2), 2023.
  • [3] Gabriela Motronea, Alin Pepenar, Variance and information potential of some random variables, General Mathematics, Vol. 31, No. 2 (2023), 80–84.
  • [4] S.V. Pasca, A. Seserman, A. Steopoaie, Iterates of positive linear operators and linear systems of equations, Dolomites Research Notes on Approximation, 17(2), 52-58, (2024).

Conference Talks

  • [1] First Annual FORTHEM Conference FORTHEM - For the Future (Section: Natural Sciences – Be innovative) - Event Link
    • Miruna-Stefana Sorea, How to measure the non-convexity
    • Georgian-Cristian Chivu, Generative Image Algorithms based on AI approach with comparative results
    • Ilina Mihai, Otsu's Method for Image Segmentation

All Works

Here are the main works we done until now,
but this section is still work in progress.