A Novel Deep Learning Approach in Haematology for Classification of Leucocytes.

Alessia D'Introno , Attilio Guarini , Domenico Buongiorno , Francesco Girardi
Quantifying and Processing Biomedical and Behavioral Signals 265 -274

2019
Deep learning and generative adversarial networks in oral and maxillofacial surgery

Vitoantonio Bevilacqua , Gianpaolo Francesco Trotta , Giacomo Donato Cascarano , Jan Egger
Academic Press 55 -82

2021
32
2017
Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images

Antonio Brunetti , Leonarda Carnimeo , Gianpaolo Francesco Trotta , Vitoantonio Bevilacqua
Neurocomputing 335 274 -298

54
2019
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

Antonio Brunetti , Domenico Buongiorno , Gianpaolo Francesco Trotta , Vitoantonio Bevilacqua
Neurocomputing 300 17 -33

360
2018
An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy

Vitoantonio Bevilacqua , Nicola Pietroleonardo , Vito Triggiani , Antonio Brunetti
Neurocomputing 228 143 -153

21
2017
Testing a novel method for improving wayfinding by means of a P3b Virtual Reality Visual Paradigm in normal aging.

Marina de Tommaso , Katia Ricci , Marianna Delussi , Anna Montemurno
SpringerPlus 5 ( 1) 1297

33
2016
A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

Vitoantonio Bevilacqua , Antonio Brunetti , Andrea Guerriero , Gianpaolo Francesco Trotta
Cognitive Systems Research 53 3 -19

21
2019
A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time

Gianpaolo F. Trotta , Roberta Pellicciari , Antonio Boccaccio , Antonio Brunetti
Computers in Biology and Medicine 112 103376

3
2019
A Deep Learning Approach for Hepatocellular Carcinoma Grading

Vitoantonio Bevilacqua , Antonio Brunetti , Gianpaolo Francesco Trotta , Leonarda Carnimeo
International Journal of Computer Vision 7 ( 2) 1 -18

6
2017
A Computer Aided Ophthalmic Diagnosis System Based on Tomographic Features

Vitoantonio Bevilacqua , Sergio Simeone , Antonio Brunetti , Claudio Loconsole
Intelligent Computing Methodologies 10363 598 -609

3
2017
Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants

Fabio Tarricone , Antonio Brunetti , Domenico Buongiorno , Nicola Altini
Applied Sciences 11 ( 1) 404

2021
Mutual interaction between motor cortex activation and pain in fibromyalgia: EEG-fNIRS study.

Eleonora Gentile , Antonio Brunetti , Katia Ricci , Marianna Delussi
PLOS ONE 15 ( 1)

29
2020
A novel approach to evaluate blood parameters using computer vision techniques

Vitoantonio Bevilacqua , Giovanni Dimauro , Francescomaria Marino , Antonio Brunetti
ieee international symposium on medical measurements and applications 1 -6

46
2016
Reconstruction, Optimization and Quality Check of Microsoft HoloLens-Acquired 3D Point Clouds

Gianpaolo Francesco Trotta , Sergio Mazzola , Giuseppe Gelardi , Antonio Brunetti
Neural Approaches to Dynamics of Signal Exchanges 83 -93

1
2020
A Multi-modal Tool Suite for Parkinson’s Disease Evaluation and Grading

Giacomo Donato Cascarano , Antonio Brunetti , Domenico Buongiorno , Gianpaolo Francesco Trotta
Neural Approaches to Dynamics of Signal Exchanges 151 257 -268

2
2020
A Survey on Deep Learning in Electromyographic Signal Analysis

Domenico Buongiorno , Giacomo Donato Cascarano , Antonio Brunetti , Irio De Feudis
international conference on intelligent computing 11645 751 -761

18
2019
Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections

Nicola Altini , Giacomo Donato Cascarano , Antonio Brunetti , Francescomaria Marino
Electronics 9 ( 3) 503

41
2020
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.

Domenico Buongiorno , Ilaria Bortone , Giacomo Donato Cascarano , Gianpaolo Francesco Trotta
BMC Medical Informatics and Decision Making 19 ( 9) 1 -13

37
2019
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

Vitoantonio Bevilacqua , Antonio Brunetti , Giacomo Donato Cascarano , Andrea Guerriero
BMC Medical Informatics and Decision Making 19 ( 9) 244

8
2019