Ma.Me.Mo.Bi.A

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

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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 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.

Main Objectives

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.

Approximation results

by sampling-type operators and their generalizations in functional spaces.

Approximation by Neural Network

operators and their applications to imaging.

Real Analysis and Operator Theory

Here, we leverage the power of real analysis and operator theory to fuel innovation and practical applications.

Segmentation and Registration algorithms

Explore the intricacies of segmentation, breaking down complex images into meaningful components, and delve into the precision of registration, aligning diverse datasets for enhanced insights.

Applications for multiple situations

Exploring AI extended Applications Across Vascular Pathologies, Ophthalmology, and Alzheimer's Diagnosis with MR Imaging.

All Works

Here are the main works we done until now,
but there is still more to come.

Category SubTitle

Ma.Me.Mo.Bi.A

Mathematical Models

Biomedical Applications

About Us

The Following Objectives

Main Objectives

Approximation results

Approximation by Neural Network

Real Analysis and Operator Theory

Segmentation and Registration algorithms

Applications for multiple situations

All Works

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Short Pages

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