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Giacomo Donato Cascarano
Giacomo Donato Cascarano
Unknown affiliation
Verified email at poliba.it
Title
Cited by
Cited by
Year
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease
D Buongiorno, I Bortone, GD Cascarano, GF Trotta, A Brunetti, ...
BMC Medical Informatics and Decision Making 19, 1-13, 2019
602019
Semantic segmentation framework for glomeruli detection and classification in kidney histological sections
N Altini, GD Cascarano, A Brunetti, F Marino, MT Rocchetti, S Matino, ...
Electronics 9 (3), 503, 2020
552020
A model-free technique based on computer vision and sEMG for classification in Parkinson’s disease by using computer-assisted handwriting analysis
C Loconsole, GD Cascarano, A Brunetti, GF Trotta, G Losavio, ...
Pattern Recognition Letters 121, 28-36, 2019
482019
Deep learning for processing electromyographic signals: A taxonomy-based survey
D Buongiorno, GD Cascarano, I De Feudis, A Brunetti, L Carnimeo, ...
Neurocomputing 452, 549-565, 2021
452021
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images
V Bevilacqua, A Brunetti, GD Cascarano, A Guerriero, F Pesce, ...
BMC Medical Informatics and Decision Making 19, 1-12, 2019
382019
Biometric handwriting analysis to support Parkinson’s Disease assessment and grading
GD Cascarano, C Loconsole, A Brunetti, A Lattarulo, D Buongiorno, ...
BMC medical informatics and decision making 19, 1-11, 2019
332019
Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
N Altini, B Prencipe, GD Cascarano, A Brunetti, G Brunetti, V Triggiani, ...
Neurocomputing 490, 30-53, 2022
322022
A deep learning instance segmentation approach for global glomerulosclerosis assessment in donor kidney biopsies
N Altini, GD Cascarano, A Brunetti, I De Feudis, D Buongiorno, M Rossini, ...
Electronics 9 (11), 1768, 2020
322020
A survey on deep learning in electromyographic signal analysis
D Buongiorno, GD Cascarano, A Brunetti, I De Feudis, V Bevilacqua
Intelligent Computing Methodologies: 15th International Conference, ICIC …, 2019
242019
Detection and segmentation of kidneys from magnetic resonance images in patients with autosomal dominant polycystic kidney disease
A Brunetti, GD Cascarano, I De Feudis, M Moschetta, L Gesualdo, ...
Intelligent Computing Theories and Application: 15th International …, 2019
212019
A deep learning approach for the automatic detection and segmentation in autosomal dominant polycystic kidney disease based on magnetic resonance images
V Bevilacqua, A Brunetti, GD Cascarano, F Palmieri, A Guerriero, ...
Intelligent Computing Theories and Application: 14th International …, 2018
212018
A novel approach in combination of 3d gait analysis data for aiding clinical decision-making in patients with parkinson’s disease
I Bortone, GF Trotta, A Brunetti, GD Cascarano, C Loconsole, N Agnello, ...
Intelligent Computing Theories and Application: 13th International …, 2017
172017
Gait analysis and parkinson’s disease: Recent trends on main applications in healthcare
I Bortone, D Buongiorno, G Lelli, A Di Candia, GD Cascarano, GF Trotta, ...
Converging Clinical and Engineering Research on Neurorehabilitation III …, 2019
162019
Focal dice loss-based V-Net for liver segments classification
B Prencipe, N Altini, GD Cascarano, A Brunetti, A Guerriero, V Bevilacqua
Applied Sciences 12 (7), 3247, 2022
132022
An innovative neural network framework for glomerulus classification based on morphological and texture features evaluated in histological images of kidney biopsy
GD Cascarano, FS Debitonto, R Lemma, A Brunetti, D Buongiorno, ...
Intelligent Computing Methodologies: 15th International Conference, ICIC …, 2019
132019
A comparison between ann and svm classifiers for parkinson’s disease by using a model-free computer-assisted handwriting analysis based on biometric signals
C Loconsole, GD Cascarano, A Lattarulo, A Brunetti, GF Trotta, ...
2018 International joint conference on neural networks (IJCNN), 1-8, 2018
132018
Multi-class tissue classification in colorectal cancer with handcrafted and deep features
N Altini, TM Marvulli, M Caputo, E Mattioli, B Prencipe, GD Cascarano, ...
Intelligent Computing Theories and Application: 17th International …, 2021
122021
A Tversky loss-based convolutional neural network for liver vessels segmentation
N Altini, B Prencipe, A Brunetti, G Brunetti, V Triggiani, L Carnimeo, ...
Intelligent Computing Theories and Application: 16th International …, 2020
122020
A supervised approach to classify the status of bone mineral density in post-menopausal women through static and dynamic baropodometry
I Bortone, GF Trotta, GD Cascarano, P Regina, A Brunetti, I De Feudis, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
112018
A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time
GF Trotta, R Pellicciari, A Boccaccio, A Brunetti, GD Cascarano, ...
Computers in Biology and Medicine 112, 103376, 2019
102019
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Articles 1–20