Michele D'Orazio

About Michele D'Orazio

Michele D'Orazio, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Università degli Studi di Roma Tor Vergata, specializes in the field of Machine Learning, Lab On Chip, Image Analysis.

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

Optically Induced Dielectrophoresis and Machine Learning Algorithms for the Identification of the Circulating Tumor Cells

Development of integrated optical biosensors based on low-cost stereolithography fabrication and multispectral signature for Lab-On-Chip applications

Uncertainty-based feature selection for improved adequacy of dermoscopic image classification

CWL-PLAS: Task Workflows Assisted by Data Science Cloud Platforms

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 …

S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images

Sensitivity analysis of latent variables in Variational Autoencoders for Dermoscopic Image Analysis

Michele D'Orazio Information

University

Position

PhD Student Dept Electronic Engineering

Citations(all)

131

Citations(since 2020)

131

Cited By

10

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Università degli Studi di Roma Tor Vergata

Google Scholar

View Google Scholar Profile

Michele D'Orazio Skills & Research Interests

Machine Learning

Lab On Chip

Image Analysis

Top articles of Michele D'Orazio

Title

Journal

Author(s)

Publication Date

Optically Induced Dielectrophoresis and Machine Learning Algorithms for the Identification of the Circulating Tumor Cells

Proceedings

Joanna Filippi

Francesca Corsi

Paola Casti

Gianni Antonelli

Michele D’Orazio

...

2024/3/21

Development of integrated optical biosensors based on low-cost stereolithography fabrication and multispectral signature for Lab-On-Chip applications

Sensors and Actuators B: Chemical

Gianni Antonelli

Arianna Mencattini

Micol Massimiani

Valentina Lacconi

Joanna Filippi

...

2024/2/15

Uncertainty-based feature selection for improved adequacy of dermoscopic image classification

IEEE Transactions on Instrumentation and Measurement

Arianna Mencattini

Paola Casti

Michele D’Orazio

Gianni Antonelli

Joanna Filippi

...

2023/8/9

CWL-PLAS: Task Workflows Assisted by Data Science Cloud Platforms

IEEE Access

Andrea Detti

Ludovico Funari

Luca Petrucci

Michele D’Orazio

Arianna Mencattini

...

2023/5/2

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

S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images

Expert Systems with Applications

P Casti

S Cardarelli

MC Comes

M D'Orazio

J Filippi

...

2023/12/1

Sensitivity analysis of latent variables in Variational Autoencoders for Dermoscopic Image Analysis

Paola Casti

Arianna Mencattini

Sara Cardarelli

Gianni Antonelli

Joanna Filippi

...

2022/6/22

Robust examination of cell apoptosis timing in presence of noisy environment

Arianna Mencattini

Paola Casti

Joanna Filippi

Michele D'Orazio

Sara Cardarelli

...

2022/6/22

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

Automatic monitoring of fruit ripening rooms by UHF RFID sensor network and machine learning

IEEE Journal of Radio Frequency Identification

Cecilia Occhiuzzi

Francesca Camera

Michele D’Orazio

Nicola D’Uva

Sara Amendola

...

2022/5/11

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

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

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

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

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

Electro-optical classification of pollen grains via microfluidics and machine learning

IEEE Transactions on Biomedical Engineering

Michele D'Orazio

Riccardo Reale

Adele De Ninno

Maria A Brighetti

Arianna Mencattini

...

2021/9/3

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

A personalized assessment platform for non-invasive monitoring of pain

Paola Casti

Arianna Mencattini

Joanna Filippi

Michele D’Orazio

Maria Colomba Comes

...

2020/6/1

A microfluidic device for shape measurement in red blood cells (RBCs)

Arianna Mencattini

Davide Di Giuseppe

Michele D'Orazio

Valeria Rizzuto

MM Mañú Pereira

...

2020/6/1

See List of Professors in Michele D'Orazio University(Università degli Studi di Roma Tor Vergata)

Co-Authors

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: 14
Maria Colomba Comes

Maria Colomba Comes

Università degli Studi di Roma Tor Vergata

H-index: 14
Paola Casti

Paola Casti

Università degli Studi di Roma Tor Vergata

H-index: 14
Davide Di Giuseppe

Davide Di Giuseppe

Università degli Studi di Roma Tor Vergata

H-index: 7
Joanna Filippi

Joanna Filippi

Università degli Studi di Roma Tor Vergata

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