Gaetano Di Caterina

Gaetano Di Caterina

University of Strathclyde

H-index: 16

Europe-United Kingdom

About Gaetano Di Caterina

Gaetano Di Caterina, With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Strathclyde, specializes in the field of digital signal processing, neuromorphic systems, spiking neural networks, deep learning, embedded systems.

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

VCSEL-based photonic spiking neural networks for ultrafast detection and tracking

Theoretical advances and practical applications of spiking neural networks

Frameworks for SNNs: a review of data science-oriented software and an expansion of SpykeTorch

Sign language recognition using spiking neural networks

Exploring spiking neural networks (SNN) for low Size, Weight, and Power (SWaP) benefits

Simulation of anisoplanatic turbulence for images and videos

A boundary optimization scheme for liver tumors from CT images

Neuromorphic sensing and processing for space domain awareness

Gaetano Di Caterina Information

University

Position

___

Citations(all)

1007

Citations(since 2020)

804

Cited By

381

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

29

i10Index(since 2020)

21

Email

University Profile Page

University of Strathclyde

Google Scholar

View Google Scholar Profile

Gaetano Di Caterina Skills & Research Interests

digital signal processing

neuromorphic systems

spiking neural networks

deep learning

embedded systems

Top articles of Gaetano Di Caterina

Title

Journal

Author(s)

Publication Date

VCSEL-based photonic spiking neural networks for ultrafast detection and tracking

Neuromorphic Computing and Engineering

Joshua Robertson

Paul Kirkland

Gaetano Di Caterina

Antonio Hurtado

2024/2/27

Theoretical advances and practical applications of spiking neural networks

Gaetano Di Caterina

Malu Zhang

Jundong Liu

2024/4/22

Frameworks for SNNs: a review of data science-oriented software and an expansion of SpykeTorch

Davide L Manna

Alex Vicente-Sola

Paul Kirkland

Trevor J Bihl

Gaetano Di Caterina

2023/6/7

Sign language recognition using spiking neural networks

Procedia Computer Science

Pranav Chaudhari

Alex Vicente Sola

Amlan Basu

Davide L Manna

Paul Kirkland

...

2023/9/25

Exploring spiking neural networks (SNN) for low Size, Weight, and Power (SWaP) benefits

Trevor J Bihl

Patrick Farr

Gaetano Di Caterina

Paul Kirkland

Alex Vicente Sola

...

2023/9/12

Simulation of anisoplanatic turbulence for images and videos

David Vint

Gaetano Di Caterina

Paul Kirkland

RA Lamb

David Humphreys

2023/9/12

A boundary optimization scheme for liver tumors from CT images

31st European Signal Processing Conference

Ming Gong

John Soraghan

Gaetano Di Caterina

Xiaoquan Li

Derek Grose

2023/9/4

Neuromorphic sensing and processing for space domain awareness

Paul Kirkland

Carmine Clemente

Malcolm Macdonald

Gaetano Di Caterina

Gabriele Meoni

2023/7/16

Ultrafast neuromorphic photonic image processing with a VCSEL neuron

Scientific reports

Joshua Robertson

Paul Kirkland

Juan Arturo Alanis

Matěj Hejda

Julián Bueno

...

2022/3/22

3-Dimensional object recognition using 1-dimensional capsule neural networks

Amlan Basu

Keerati Kaewrak

Lykourgos Petropoulakis

Gaetano Di Caterina

John Soraghan

2022/5/29

Unsupervised spiking instance segmentation on event data using STDP features

IEEE Transactions on Computers

Paul Kirkland

Davide Manna

Alex Vicente

Gaetano Di Caterina

2022/7/19

Simple and complex spiking neurons: Perspectives and analysis in a simple STDP scenario

Neuromorphic Computing and Engineering

Davide L Manna

Alex Vicente-Sola

Paul Kirkland

Trevor J Bihl

Gaetano Di Caterina

2022/10/28

An exploration of the optimal feature-classifier combinations for transradial prosthesis control

Fraser Douglas

Harry Gover

Cheryl Docherty

Gordon Shields

Konstantina Leventi

...

2022/7/11

Keys to accurate feature extraction using residual spiking neural networks

Neuromorphic Computing and Engineering

Alex Vicente-Sola

Davide L Manna

Paul Kirkland

Gaetano Di Caterina

Trevor Bihl

2022/9/30

Indoor home scene recognition through instance segmentation using a combination of neural networks

Amlan Basu

Keerati Kaewrak

Lykourgos Petropoulakis

Gaetano Di Caterina

John J Soraghan

2022/6/19

Movement classification and segmentation using event-based sensing and spiking neural networks

Paul Kirkland

Gaetano Di Caterina

2022/9/13

Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation

Bethany H Thompson

Gaetano Di Caterina

Jeremy P Voisey

2022/3/28

Hybrid attention mechanism for liver tumor segmentation in CT images

Ming Gong

Baixiang Zhao

John Soraghan

Gaetano Di Caterina

Derek Grose

2022/9/11

TwoPath U-Net for automatic brain tumor segmentation from multimodal MRI data

Keerati Kaewrak

John Soraghan

Gaetano Di Caterina

Derek Grose

2021

Neuromorphic Image Processing with a VCSEL Neuron

Joshua Robertson

Juan Alanis

Gaetano Di Caterina

Paul Kirkland

Matěj Hejda

...

2021/10/18

See List of Professors in Gaetano Di Caterina University(University of Strathclyde)