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

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

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

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

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

Mlops: A taxonomy and a methodology

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

Google Scholar

Giulio Iannello Skills & Research Interests

Image processing

Machine learning

Computer networks

High performance computing

Performance evaluation

Top articles of Giulio Iannello

Making AI trustworthy in multimodal and healthcare scenarios

Proceedings of the Ital-IA

2023

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

2023

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

Cancers

2022/12/21

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

Journal of Imaging

2022/11/2

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

2022/10/3

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

2022/10/3

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

Cancers

2022/9/21

Mlops: A taxonomy and a methodology

IEEE Access

2022/6/9

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

2022/2/8

Sustainable AI: inside the deep, alongside the green

2022

Image sensors and VPU acceleration for data analysis and classification

2021/6/7

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

Cancers

2021/5/6

Positive tissue transglutaminase antibodies with negative endomysial antibodies: Unresolved issues in diagnosing celiac disease

Journal of Immunological Methods

2021/2/1

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

BMC bioinformatics

2021/12

Paolo Soda
Paolo Soda

H-Index: 17

Giulio Iannello
Giulio Iannello

H-Index: 20

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

Medical image analysis

2021/12/1

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

Cancers

2021/10/15

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

Cancers

2021/9/15

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

Artificial Intelligence in Medicine

2021/9/1

On-board diagnostic of the motor vehicle through smartphone

2021/7/1

Single beat ECG-based Identification System: Development and robustness test in different working conditions

2021/6/7

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