Daniela Besozzi

About Daniela Besozzi

Daniela Besozzi, With an exceptional h-index of 27 and a recent h-index of 19 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of Systems Biology, Mathematical modeling, Evolutionary Computation, GPU computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fuzzy Logic for Knowledge-Driven and Data-Driven Modeling in Biomedical Sciences

Development and validation of a gene expression score to account for tumour purity and improve prognostication in breast cancer

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar

Advantages of GPU-accelerated approach for solving the Parker equation in the heliosphere

The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts

Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical …

Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning

Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies

Daniela Besozzi Information

University

Position

Associate Professor

Citations(all)

2647

Citations(since 2020)

1520

Cited By

1767

hIndex(all)

27

hIndex(since 2020)

19

i10Index(all)

53

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Daniela Besozzi Skills & Research Interests

Systems Biology

Mathematical modeling

Evolutionary Computation

GPU computing

Top articles of Daniela Besozzi

Title

Journal

Author(s)

Publication Date

Fuzzy Logic for Knowledge-Driven and Data-Driven Modeling in Biomedical Sciences

Big Data Analysis and Artificial Intelligence for Medical Sciences

Paolo Cazzaniga

Simone Spolaor

Caro Fuchs

Marco S Nobile

Daniela Besozzi

2024/7/29

Development and validation of a gene expression score to account for tumour purity and improve prognostication in breast cancer

bioRxiv

Marco Barreca

Matteo Dugo

Barbara Galbardi

Balazs Gyorrfy

NA-PHER2 consortium

...

2024

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar

Computer Methods and Programs in Biomedicine

Daniele M Papetti

Kirsten Van Abeelen

Rhodri Davies

Roberto Menè

Francesca Heilbron

...

2023/2/1

Advantages of GPU-accelerated approach for solving the Parker equation in the heliosphere

S Della Torre

Besozzi Cavallotto

D Besozzi

M Gervasi

G La Vacca

...

2023/7/26

The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts

Vasco Coelho

Daniele M Papetti

Andrea Tangherloni

Paolo Cazzaniga

Daniela Besozzi

...

2023/7/1

Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical …

European Heart Journal-Cardiovascular Imaging

C Torlasco

DM Papetti

S Castelletti

M Sabatini

G Muscogiuri

...

2023/6

Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning

Frontiers in Bioinformatics

Daniele M Papetti

Simone Spolaor

Iman Nazari

Andrea Tirelli

Tommaso Leonardi

...

2023/4/27

Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies

Expert Systems with Applications

Marco S Nobile

Giulia Capitoli

Virgil Sowirono

Francesca Clerici

Isabella Piga

...

2023/4/1

Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance

Nature communications

Cirino Botta

Cristina Perez

Marta Larrayoz

Noemi Puig

Maria-Teresa Cedena

...

2023/9/20

Local bubble dilation functions: Hypersphere-bounded landscape deformations simplify global optimization

Daniele M Papetti

Vasco Coelho

Daniel A Ashlock

Paolo Cazzaniga

Simone Spolaor

...

2022/8/15

Modeling Calcium Signaling in S. cerevisiae Highlights the Role and Regulation of the Calmodulin-Calcineurin Pathway in Response to Hypotonic Shock

Frontiers in Molecular Biosciences

Simone Spolaor

Mattia Rovetta

Marco S Nobile

Paolo Cazzaniga

Renata Tisi

...

2022/5/18

SMGen: a generator of synthetic models of biochemical reaction networks

Symmetry

Simone G Riva

Paolo Cazzaniga

Marco S Nobile

Simone Spolaor

Leonardo Rundo

...

2022/1/10

Metodo per determinare un tempo di inversione ottimale per una sequenza “Inversion Recovery” di risonanza magnetica utilizzabile per l’acquisizione di immagini tardive dopo …

Daniela Besozzi

Daniele M Papetti

Camilla Torlasco

Marco S Nobile

2022

Network-Oriented Approaches to Anticancer Drug Response

Paola Lecca

Juan Manuel Corchado

Daniela Besozzi

2021/5/24

A comparison of multi-objective optimization algorithms to identify drug target combinations

Simone Spolaor

Daniele M Papetti

Paolo Cazzaniga

Daniela Besozzi

Marco S Nobile

2021/10/13

The multi-level mechanism of action of a pan-ras inhibitor explains its antiproliferative activity on cetuximab-resistant cancer cells

Frontiers in Molecular Biosciences

Renata Tisi

Michela Spinelli

Alessandro Palmioli

Cristina Airoldi

Paolo Cazzaniga

...

2021/2/17

HyperBeta: characterizing the structural dynamics of proteins and self-assembling peptides

Scientific Reports

Marco S Nobile

Federico Fontana

Luca Manzoni

Paolo Cazzaniga

Giancarlo Mauri

...

2021/4/8

FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks

PLoS Computational Biology

Andrea Tangherloni

Marco S Nobile

Paolo Cazzaniga

Giulia Capitoli

Simone Spolaor

...

2021/9/9

An experimental and computational protocol to study cell proliferation in human acute myeloid leukemia xenografts

Leukemia Stem Cells: Methods and Protocols

Thalia Vlachou

Marco S Nobile

Chiara Ronchini

Daniela Besozzi

Pier Giuseppe Pelicci

2021

If you can’t beat it, squash it: Simplify global optimization by evolving dilation functions

Daniele M Papetti

Daniel A Ashlock

Paolo Cazzaniga

Daniela Besozzi

Marco S Nobile

2021/6/28

See List of Professors in Daniela Besozzi University(Università degli Studi di Milano-Bicocca)