Giulio Iannello

About Giulio Iannello

Giulio Iannello, With an exceptional h-index of 31 and a recent h-index of 20 (since 2020), a distinguished researcher at Università Campus Bio-Medico di Roma, specializes in the field of Image processing, Machine learning, Computer networks, High performance computing, Performance evaluation.

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

Making AI trustworthy in multimodal and healthcare scenarios

Building an AI-enabled metaverse for intelligent healthcare: opportunities and challenges

3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study

Mlops: A taxonomy and a methodology

A multimodal ensemble driven by multiobjective optimisation to predict overall survival in non-small-cell lung cancer

Artificial intelligence in bone metastases: an MRI and CT imaging review

Day-ahead Forecast of PV Systems and End-Users in the Contest of Renewable Energy Communities

Sustainable AI: inside the deep, alongside the green

Giulio Iannello Information

University

Position

Full Professor of Computer Science Bio-Medico di Roma

Citations(all)

4054

Citations(since 2020)

1715

Cited By

3030

hIndex(all)

31

hIndex(since 2020)

20

i10Index(all)

73

i10Index(since 2020)

33

Email

University Profile Page

Università Campus Bio-Medico di Roma

Google Scholar

View Google Scholar Profile

Giulio Iannello Skills & Research Interests

Image processing

Machine learning

Computer networks

High performance computing

Performance evaluation

Top articles of Giulio Iannello

Title

Journal

Author(s)

Publication Date

Making AI trustworthy in multimodal and healthcare scenarios

Proceedings of the Ital-IA

Ermanno Cordelli

Valerio Guarrasi

Giulio Iannello

Filippo Ruffini

Rosa Sicilia

...

2023

Building an AI-enabled metaverse for intelligent healthcare: opportunities and challenges

Valerio Guarrasi

Lorenzo Tronchin

Camillo Maria Caruso

Aurora Rofena

Guido Manni

...

2023

3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study

Cancers

Alessandro Calabrese

Domiziana Santucci

Michela Gravina

Eliodoro Faiella

Ermanno Cordelli

...

2022/12/21

Mlops: A taxonomy and a methodology

IEEE Access

Matteo Testi

Matteo Ballabio

Emanuele Frontoni

Giulio Iannello

Sara Moccia

...

2022/6/9

A multimodal ensemble driven by multiobjective optimisation to predict overall survival in non-small-cell lung cancer

Journal of Imaging

Camillo Maria Caruso

Valerio Guarrasi

Ermanno Cordelli

Rosa Sicilia

Silvia Gentile

...

2022/11/2

Artificial intelligence in bone metastases: an MRI and CT imaging review

Eliodoro Faiella

Domiziana Santucci

Alessandro Calabrese

Fabrizio Russo

Gianluca Vadalà

...

2022/2/8

Day-ahead Forecast of PV Systems and End-Users in the Contest of Renewable Energy Communities

Tommaso Capotosto

Anna Rita Di Fazio

Sara Perna

Francesco Conte

Giulio Iannello

...

2022/10/3

Sustainable AI: inside the deep, alongside the green

Francesco Conte

Ermanno Cordelli

Valerio Guarrasi

Giulio Iannello

Rosa Sicilia

...

2022

Methods and tools for the management of renewable energy communities: the comer project

Anna Rita Di Fazio

Arturo Losi

Mario Russo

Filippo Cacace

Francesco Conte

...

2022/10/3

CNN-based approaches with different tumor bounding options for lymph node status prediction in breast DCE-MRI

Cancers

Domiziana Santucci

Eliodoro Faiella

Michela Gravina

Ermanno Cordelli

Carlo de Felice

...

2022/9/21

On the additional information provided by 3T-MRI ADC in predicting tumor cellularity and microscopic behavior

Cancers

Domiziana Santucci

Eliodoro Faiella

Alessandro Calabrese

Bruno Beomonte Zobel

Andrea Ascione

...

2021/10/15

Edge computing optimization method. Analyzed task: Crowd counting

Alessandro Graziosi

Giulio Iannello

Valerio Lapadula

Mario Merone

Marco Sabatini

...

2021/6/7

The impact of tumor edema on t2-weighted 3t-mri invasive breast cancer histological characterization: A pilot radiomics study

Cancers

Domiziana Santucci

Eliodoro Faiella

Ermanno Cordelli

Alessandro Calabrese

Roberta Landi

...

2021/9/15

Heart rate analysis through smartphone camera

Anna Sabatini

Giulio Iannello

Giorgio Pennazza

Marco Santonico

Mariassunta Spinosa

...

2021/6/7

Deep reinforcement learning for fractionated radiotherapy in non-small cell lung carcinoma

Artificial Intelligence in Medicine

Matteo Tortora

Ermanno Cordelli

Rosa Sicilia

Marianna Miele

Paolo Matteucci

...

2021/9/1

Image sensors and VPU acceleration for data analysis and classification

Lorenzo Petrosino

Giulio Iannello

Mario Merone

Luca Vollero

2021/6/7

Visual4DTracker: a tool to interact with 3D+ t image stacks

BMC bioinformatics

Ermanno Cordelli

Paolo Soda

Giulio Iannello

2021/12

On-board diagnostic of the motor vehicle through smartphone

Pietro VJA Cannistrà

Luca Faramondi

Giulio Iannello

Roberto Setola

Luca Vollero

2021/7/1

3T MRI-radiomic approach to predict for lymph node status in breast cancer patients

Cancers

Domiziana Santucci

Eliodoro Faiella

Ermanno Cordelli

Rosa Sicilia

Carlo de Felice

...

2021/5/6

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

Medical image analysis

Paolo Soda

Natascha Claudia D’Amico

Jacopo Tessadori

Giovanni Valbusa

Valerio Guarrasi

...

2021/12/1

See List of Professors in Giulio Iannello University(Università Campus Bio-Medico di Roma)