leonardo bocchi

Associate Professor

Università degli Studi di Napoli Federico II

Italy

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About

Leonardo Bocchi is an Associate Professor at Università degli Studi di Firenze, Italy. His research areas include biomedical rendering, deep learning applications in medical imaging, and the analysis of bone quality in dento-maxillofacial contexts. He has published extensively on AI-based denoising techniques and the use of genetic algorithms for feature selection in medical diagnostics.

Articles (20)

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2025

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2021

Collaborators (10)

Ferdinando PATERNOSTRO

Associated Professor

Università degli Studi di Napoli Federico II

ITALY

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Leonardo Calamandrei

University of Florence

ITALY

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Alessandra Pacini

University of Florence

ITALY

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Ernesto Iadanza

University of Siena

ITALY

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Cosimo Nardi

ITALY

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Francesco Lucertini

ITALY

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Antonio Lanatà

Professor

University of Florence

ITALY

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Mateusz Soliński

King's College London

UNITED KINGDOM

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Teodor Buchner

Associate Professor

Wroclaw University of Science and Technology

POLAND

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Claudio Nicoletti

University of Siena

ITALY

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leonardo bocchi

Research Interests

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About

Articles (20)

Advancements in biomedical rendering: A survey on AI-based denoising techniques

Deep Learning-Based Denoising for Interactive Realistic Rendering of Biomedical Volumes

A systematic review and meta-analysis on the concept of bone quality in dento-maxillofacial Cone Beam Computed Tomography

Experimental Evaluation of a New Perfusion Machine Using Normothermic Cycles on Explanted Livers

Deep Learning-Based Workflow for Bone Segmentation and 3D Modeling in Cone-Beam CT Orthopedic Imaging

Converging Algorithm-Agnostic Denoising for Monte Carlo Rendering

Realistic Texture Mapping of 3D Medical Models Using RGBD Camera for Mixed Reality Applications

Facial Emotion Recognition (FER) Through Custom Lightweight CNN Model: Performance Evaluation in Public Datasets

Genetic Algorithms for Feature Selection in the Classification of COVID-19 Patients

Analysis of the Relationship Between Scale Invariant Feature Transform Keypoint Properties and Their Invariance to Geometrical Transformation Applied to Cone-Beam Computed Tomography Images

COVID-19 Detection Using Photoplethysmography and Neural Networks

Innovative Tool for Automatic Detection of Arterial Stenosis on Cone Beam Computed Tomography

The Assessment of Ankle Range-of-Motion and Its Relationship with Overall Muscle Strength in a Cross-Section of Soccer Players

Morphological and Functional Effects of Ultrasound on Blood–Brain Barrier Transitory Opening: An In Vitro Study on Rat Brain Endothelial Cells

Morphological, Functional and Texture Analysis Magnetic Resonance Imaging Features in the Assessment of Radiotherapy-Induced Xerostomia in Oropharyngeal Cancer

Classifying sepsis from photoplethysmography

Augmented Reality in Surgery: A Scoping Review

Mortality Risk Associated with Diabetic Foot Complications in People with or without History of Diabetic Foot Hospitalizations

The Role of New Technological Opportunities and the Need to Evaluate the Activities Performed in the Prevention of Diabetic Foot with Exercise Therapy

Vascular ageing and peripheral pulse: an improved model for assessing their relationship

Collaborators (10)

Ferdinando PATERNOSTRO

Leonardo Calamandrei

Alessandra Pacini

Ernesto Iadanza

Cosimo Nardi

Francesco Lucertini

Antonio Lanatà

Mateusz Soliński

Teodor Buchner

Claudio Nicoletti

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