Pascazio V

About Pascazio V

Pascazio V, With an exceptional h-index of 34 and a recent h-index of 22 (since 2020), a distinguished researcher at Università degli Studi di Napoli Parthenope, specializes in the field of Remote Sensing, Radar Systems, Signal Processing, Image Processing, Telecommunications.

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

In-vivo Electrical Properties Estimation of Biological Tissues by means of a multi-step Microwave Tomography Approach

Intra voxel analysis in magnetic resonance imaging via deep learning

CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data

Enhanced Deep Learning Architecture for Rapid and Accurate Tomato Plant Disease Diagnosis

SAR despeckling using multi-objective neural network trained with generic statistical samples

A deep learning solution for height estimation on a forested area based on Pol-TomoSAR data

DL Based Forest Height Reconstruction Using Single-Pol Tomosar Images

Breast Cancer Imaging at Microwave Frequencies via Neural Networks

Pascazio V Information

University

Position

___

Citations(all)

4158

Citations(since 2020)

1797

Cited By

2891

hIndex(all)

34

hIndex(since 2020)

22

i10Index(all)

80

i10Index(since 2020)

47

Email

University Profile Page

Università degli Studi di Napoli Parthenope

Google Scholar

View Google Scholar Profile

Pascazio V Skills & Research Interests

Remote Sensing

Radar Systems

Signal Processing

Image Processing

Telecommunications

Top articles of Pascazio V

Title

Journal

Author(s)

Publication Date

In-vivo Electrical Properties Estimation of Biological Tissues by means of a multi-step Microwave Tomography Approach

IEEE Transactions on Medical Imaging

Michele Ambrosanio

Martina Teresa Bevacqua

Joe LoVetri

Vito Pascazio

Tommaso Isernia

2024/1/15

Intra voxel analysis in magnetic resonance imaging via deep learning

International Journal of Imaging Systems and Technology

Maria Maddalena Autorino

Stefano Franceschini

Michele Ambrosanio

Vito Pascazio

Fabio Baselice

2024/1

CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data

arXiv preprint arXiv:2403.20273

Wenyu Yang

Sergio Vitale

Hossein Aghababaei

Giampaolo Ferraioli

Vito Pascazio

...

2024/3/29

Enhanced Deep Learning Architecture for Rapid and Accurate Tomato Plant Disease Diagnosis

AgriEngineering

Shahab Ul Islam

Shahab Zaib

Giampaolo Ferraioli

Vito Pascazio

Gilda Schirinzi

...

2024/2/12

SAR despeckling using multi-objective neural network trained with generic statistical samples

IEEE Transactions on Geoscience and Remote Sensing

Sergio Vitale

Giampaolo Ferraioli

Alejandro C Frery

Vito Pascazio

Dong-Xiao Yue

...

2023/9/13

A deep learning solution for height estimation on a forested area based on Pol-TomoSAR data

IEEE Transactions on Geoscience and Remote Sensing

Wenyu Yang

Sergio Vitale

Hossein Aghababaei

Giampaolo Ferraioli

Vito Pascazio

...

2023/5/8

DL Based Forest Height Reconstruction Using Single-Pol Tomosar Images

W Yang

H Aghababaei

G Ferraioli

X Lu

V Pascazio

...

2023/7/16

Breast Cancer Imaging at Microwave Frequencies via Neural Networks

M Ambrosanio

S Franceschini

MM Autorino

F Baselice

V Pascazio

2023

Multi-Objective Neural Network for Polsar Image Restoration

X Lu

S Vitale

H Aghababaei

W Yang

G Ferraioli

...

2023/7/16

Training supervised neural networks for PolSAR despeckling with an hybrid approach

IEEE Geoscience and Remote Sensing Letters

Xialei Lu

Sergio Vitale

Hossein Aghababei

Giampaolo Ferraioli

Vito Pascazio

2023/11/16

A deep learning approach for the analysis of voxel composition in magnetic resonance imaging

MM Autorino

S Franceschini

M Ambrosanio

V Pascazio

F Baselice

2023

Assessment of Deep Learning Based Solutions for SAR Image Despeckling

Luis Deniz Gomez

S Vitale

G Ferraioli

V Pascazio

2023/7/16

A Deep Learning Solution for Height Inversion on Forested Areas using Single and Dual Polarimetric TomoSAR

IEEE Geoscience and Remote Sensing Letters

Wenyu Yang

Sergio Vitale

Hossein Aghababaei

Giampaolo Ferraioli

Vito Pascazio

...

2023/10/16

Breast Cancer Detection via Two-dimensional Ultrasound Tomography

S Franceschini

M Ambrosanio

MM Autorino

V Pascazio

F Baselice

2023

A multi-objective deep learning based approach for SAR image reconstruction in urban environment

Sergio Vitale

Giampaolo Ferraioli

Wenyu Yang

Gilda Schirinzi

Vito Pascazio

2023/5/17

Microwave Breast Sensing via Deep Learning for Tumor Spatial Localization by Probability Maps

Bioengineering

Marijn Borghouts

Michele Ambrosanio

Stefano Franceschini

Maria Maddalena Autorino

Vito Pascazio

...

2023/10/2

A Novel Authentication System Based on Hand Gesture Ultrasound Signatures

S Franceschini

MM Autorino

M Ambrosanio

V Pascazio

F Baselice

2023

A deep learning approach for diagnosis support in breast cancer microwave tomography

Diagnostics

Stefano Franceschini

Maria Maddalena Autorino

Michele Ambrosanio

Vito Pascazio

Fabio Baselice

2023/5/10

Deep Learning Strategies for Target Classification via Tomographic Ground Penetrating Radar

EGU General Assembly Conference Abstracts

Michele Ambrosanio

Stefano Franceschini

Maria Maddalena Autorino

Vito Pascazio

2022/5

Exploiting different training approaches for CNN based solutions in SAR image despeckling

Sergio Vitale

Giampaolo Ferraioli

Vito Pascazio

2022/7/25

See List of Professors in Pascazio V University(Università degli Studi di Napoli Parthenope)