Davide Di Giuseppe

About Davide Di Giuseppe

Davide Di Giuseppe, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Università degli Studi di Roma Tor Vergata, specializes in the field of Electronics, Sensors, Lab-on-a-chip, Microfluidics, Machine Learning.

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

Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis

Machine Learning Microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for Red Blood Cell plasticity evaluation in Pyruvate Kinase …

A lab-on-a-chip based automatic platform for continuous nitrites sensing in aquaculture

Exploiting spectral information in Opto-Electronic Tweezers for cell classification and drug response evaluation

Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response

Optimizing MOX sensor array performances with a reconfigurable self-adaptive temperature modulation interface

Combining microfluidic spleen-like filtering unit with machine learning algorithms to characterize rare hereditary hemolytic anemia

Multi-scale generative adversarial network for improved evaluation of cell–cell interactions observed in organ-on-chip experiments

Davide Di Giuseppe Information

University

Position

Postdoctoral Researcher Dept. of Electronic Engineering Italy

Citations(all)

624

Citations(since 2020)

617

Cited By

152

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Università degli Studi di Roma Tor Vergata

Google Scholar

View Google Scholar Profile

Davide Di Giuseppe Skills & Research Interests

Electronics

Sensors

Lab-on-a-chip

Microfluidics

Machine Learning

Top articles of Davide Di Giuseppe

Title

Journal

Author(s)

Publication Date

Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis

Communications Biology

A Mencattini

M D’Orazio

P Casti

MC Comes

D Di Giuseppe

...

2023/3/3

Machine Learning Microfluidic based platform: Integration of Lab-on-Chip devices and data analysis algorithms for Red Blood Cell plasticity evaluation in Pyruvate Kinase …

Sensors and Actuators A: Physical

A Mencattini

V Rizzuto

G Antonelli

D Di Giuseppe

M D’Orazio

...

2023/3/1

A lab-on-a-chip based automatic platform for continuous nitrites sensing in aquaculture

Sensors

Alexandro Catini

Rosamaria Capuano

Giuseppe Tancredi

Giulio Dionisi

Davide Di Giuseppe

...

2022/1/7

Exploiting spectral information in Opto-Electronic Tweezers for cell classification and drug response evaluation

Sensors and Actuators B: Chemical

J Filippi

D Di Giuseppe

P Casti

A Mencattini

G Antonelli

...

2022/10/1

Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response

Scientific Reports

M D’Orazio

M Murdocca

A Mencattini

P Casti

J Filippi

...

2022/5/20

Optimizing MOX sensor array performances with a reconfigurable self-adaptive temperature modulation interface

Sensors and Actuators B: Chemical

Davide Di Giuseppe

Alexandro Catini

Elisabetta Comini

Dario Zappa

Corrado Di Natale

...

2021/4/15

Combining microfluidic spleen-like filtering unit with machine learning algorithms to characterize rare hereditary hemolytic anemia

Valeria Rizzuto

Arianna Mencattini

Begoña Álvarez-González

Davide Di Giuseppe

Eugenio Martinelli

...

2021/2/15

Multi-scale generative adversarial network for improved evaluation of cell–cell interactions observed in organ-on-chip experiments

Neural Computing and Applications

Maria Colomba Comes

Joanna Filippi

Arianna Mencattini

Paola Casti

Giulia Cerrato

...

2021/4

Dispositivo lab-on-chip per studiare la migrazione cellulare in sistemi tridimensionali e relativo metodo di utilizzo

S Melino

D Seliktar

E Martinelli

S Buonvino

D Di Giuseppe

2021/10/7

Metrological characterization of a pain detection system based on transfer entropy of facial landmarks

IEEE Transactions on Instrumentation and Measurement

Paola Casti

Arianna Mencattini

Joanna Filippi

Michele D’Orazio

Maria Colomba Comes

...

2021/3/22

Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia

Scientific Reports

Valeria Rizzuto

Arianna Mencattini

Begoña Álvarez-González

Davide Di Giuseppe

Eugenio Martinelli

...

2021/6/30

Integrating Machine Learning and Sensors for the Development of Organ-on-Chip Platforms for Medical Diagnosis

Arianna Mencattini

Davide Di Giuseppe

Paola Casti

Michele D’Orazio

Joanna Filippi

...

2021/2/28

NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy

Patterns

Arianna Mencattini

Alida Spalloni

Paola Casti

Maria Colomba Comes

Davide Di Giuseppe

...

2021/6/11

A novel multi-frequency trans-endothelial electrical resistance (MTEER) sensor array to monitor blood-brain barrier integrity

Sensors and Actuators B: Chemical

Maider Badiola-Mateos

Davide Di Giuseppe

Roberto Paoli

Maria Jose Lopez-Martinez

Arianna Mencattini

...

2021/5/1

Rapid manufacturing of multilayered microfluidic devices for organ on a chip applications

Roberto Paoli

Davide Di Giuseppe

Maider Badiola-Mateos

Eugenio Martinelli

Maria Jose Lopez-Martinez

...

2021/2/16

Optical detection of aflatoxins B in grained almonds using fluorescence spectroscopy and machine learning algorithms

Food Control

FR Bertani

L Businaro

L Gambacorta

A Mencattini

D Brenda

...

2020/6/1

Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments

Scientific reports

A Mencattini

D Di Giuseppe

MC Comes

P Casti

F Corsi

...

2020/5/6

Deciphering cancer cell behavior from motility and shape features: Peer prediction and dynamic selection to support cancer diagnosis and therapy

Frontiers in oncology

Michele D'Orazio

Francesca Corsi

Arianna Mencattini

Davide Di Giuseppe

Maria Colomba Comes

...

2020/10/20

Polylactic is a sustainable, low absorption, low autofluorescence alternative to other plastics for microfluidic and organ-on-chip applications

Analytical chemistry

Alfredo E Ongaro

Davide Di Giuseppe

Ali Kermanizadeh

Allende Miguelez Crespo

Arianna Mencattini

...

2020/4/1

Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial Network

Scientific Reports

Maria Colomba Comes

J Filippi

A Mencattini

F Corsi

P Casti

...

2020/9/24

See List of Professors in Davide Di Giuseppe University(Università degli Studi di Roma Tor Vergata)

Co-Authors

H-index: 77
Di Natale Corrado

Di Natale Corrado

Università degli Studi di Roma Tor Vergata

H-index: 48
Eugenio Martinelli

Eugenio Martinelli

Università degli Studi di Roma Tor Vergata

H-index: 27
Arianna Mencattini

Arianna Mencattini

Università degli Studi di Roma Tor Vergata

H-index: 20
Alexandro Catini

Alexandro Catini

Università degli Studi di Roma Tor Vergata

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