Giacomo Donato Cascarano
Orcid: 0000-0002-1712-3723
According to our database1,
Giacomo Donato Cascarano
authored at least 28 papers
between 2016 and 2024.
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Bibliography
2024
Operative Automatic Detection of Tropical Rainforest Disturbances in X-Band SAR Time-Series Based on Convolutional Neural Network.
Proceedings of the IGARSS 2024, 2024
2022
Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey.
Neurocomputing, 2022
2021
A neural network for glomerulus classification based on histological images of kidney biopsy.
BMC Medical Informatics Decis. Mak., 2021
Neurocomputing, 2021
Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Inf., 2020
A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans.
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery.
Proceedings of the Advances in Physical, Social & Occupational Ergonomics, 2020
2019
A model-free technique based on computer vision and sEMG for classification in Parkinson's disease by using computer-assisted handwriting analysis.
Pattern Recognit. Lett., 2019
Biometric handwriting analysis to support Parkinson's Disease assessment and grading.
BMC Medical Informatics Decis. Mak., 2019
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
BMC Medical Informatics Decis. Mak., 2019
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.
BMC Medical Informatics Decis. Mak., 2019
A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time.
Comput. Biol. Medicine, 2019
An undercomplete autoencoder to extract muscle synergies for motor intention detection.
Proceedings of the International Joint Conference on Neural Networks, 2019
An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Recognition and Severity Rating of Parkinson's Disease from Postural and Kinematic Features During Gait Analysis with Microsoft Kinect.
Proceedings of the Intelligent Computing Theories and Application, 2018
A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson's Disease Research.
Proceedings of the Intelligent Computing Theories and Application, 2018
A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson's Disease.
Proceedings of the Intelligent Computing Theories and Application, 2017
A Comprehensive Approach for Physical Rehabilitation Assessment in Multiple Sclerosis Patients Based on Gait Analysis.
Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2017
2016
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2016