Mild Cognitive Impairment Subtypes Are Associated With Peculiar Gait Patterns in Parkinson’s Disease
2022-01-01 Amboni, M.; Ricciardi, C.; Cuoco, S.; Donisi, L.; Volzone, A.; Ricciardelli, G.; Pellecchia, M. T.; Santangelo, G.; Cesarelli, M.; Barone, P.
GUARDIAN ANGEL 2.0: A TELEMEDICINE SERVICE FOR CHILDREN WITH HOME MECHANICAL VENTILATION
2022-01-01 Dolcini, A.; Iuppariello, L.; Calderone, D.; Cesarelli, M.; Clemente, F.
A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks
2022-01-01 Donisi, L.; Cesarelli, G.; Capodaglio, E.; Panigazzi, M.; D'Addio, G.; Cesarelli, M.; Amato, F.
Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea)
2022-01-01 Jacob, D.; Unnsteinsdottir Kristensen, I. S.; Aubonnet, R.; Recenti, M.; Donisi, L.; Ricciardi, C.; Svansson, H. A. R.; Agnarsdottir, S.; Colacino, A.; Jonsdottir, M. K.; Kristjansdottir, H.; Sigurjonsdottir, H. A.; Cesarelli, M.; Eggertsdottir Claessen, L. O.; Hassan, M.; Petersen, H.; Gargiulo, P.
Using Features Extracted from Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning Models
2023-01-01 Cesarelli, G.; Donisi, L.; Amato, F.; Romano, M.; Cesarelli, M.; D'Addio, G.; Ponsiglione, A. M.; Ricciardi, C.
TriAD: A Deep Ensemble Network for Alzheimer Classification and Localization
2023-01-01 Mercaldo, F.; Giammarco, M. D.; Ravelli, F.; Martinelli, F.; Santone, A.; Cesarelli, M.
Explainable Deep Learning for Face Mask Detection
2023-01-01 Cesarelli, M.; Iadarola, G.; Martinelli, F.; Mercaldo, F.; Santone, A.
MRI Liver Imaging Integrated with Texture Analysis in Native Liver Survivor Patients with Biliary Atresia after Kasai Portoenterostomy: Correlation with Medical Outcome after Surgical Treatment
2023-01-01 Caruso, M.; Stanzione, A.; Ricciardi, C.; Di Dato, F.; Pisani, N.; Delli Paoli, G.; De Giorgi, M.; Liuzzi, R.; Mollica, C.; Romeo, V.; Iorio, R.; Cesarelli, M.; Brunetti, A.; Maurea, S.
A Managerial Approach to Investigate Fall Risk in a Rehabilitation Hospital
2023-01-01 Cesarelli, G.; Petrelli, R.; Adamo, S.; Monce, O.; Ricciardi, C.; Cristallo, E.; Ruccia, M.; Cesarelli, M.
Experimenting with Extreme Learning Machine for Biomedical Image Classification
2023-01-01 Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M.
Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks
2023-01-01 Mercaldo, F.; Di Giammarco, M.; Apicella, A.; Di Iadarola, G.; Cesarelli, M.; Martinelli, F.; Santone, A.
Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation
2023-01-01 Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M.
sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings
2023-01-01 Donisi, L.; Jacob, D.; Guerrini, L.; Prisco, G.; Esposito, F.; Cesarelli, M.; Amato, F.; Gargiulo, P.
Generative Adversarial Networks in Retinal Image Classification
2023-01-01 Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M.
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy
2023-01-01 Ricciardi, C.; Pisani, N.; Donisi, L.; Abate, F.; Amboni, M.; Barone, P.; Picillo, M.; Cesarelli, M.; Amato, F.
Object Detection for Brain Cancer Detection and Localization
2023-01-01 Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M.
Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study
2024-01-01 Mercaldo, F.; Brunese, L.; Santone, A.; Martinelli, F.; Cesarelli, M.
Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks
2024-01-01 Mercaldo, F.; Di Giammarco, M.; Ravelli, F.; Martinelli, F.; Santone, A.; Cesarelli, M.
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors
2024-01-01 Prisco, G.; Romano, M.; Esposito, F.; Cesarelli, M.; Santone, A.; Donisi, L.; Amato, F.
An Explainable Method for Lung Cancer Detection and Localisation from Tissue Images through Convolutional Neural Networks
2024-01-01 Mercaldo, F.; Tibaldi, M. G.; Lombardi, L.; Brunese, L.; Santone, A.; Cesarelli, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Mild Cognitive Impairment Subtypes Are Associated With Peculiar Gait Patterns in Parkinson’s Disease | 1-gen-2022 | Amboni, M.; Ricciardi, C.; Cuoco, S.; Donisi, L.; Volzone, A.; Ricciardelli, G.; Pellecchia, M. T.; Santangelo, G.; Cesarelli, M.; Barone, P. | |
| GUARDIAN ANGEL 2.0: A TELEMEDICINE SERVICE FOR CHILDREN WITH HOME MECHANICAL VENTILATION | 1-gen-2022 | Dolcini, A.; Iuppariello, L.; Calderone, D.; Cesarelli, M.; Clemente, F. | |
| A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks | 1-gen-2022 | Donisi, L.; Cesarelli, G.; Capodaglio, E.; Panigazzi, M.; D'Addio, G.; Cesarelli, M.; Amato, F. | |
| Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea) | 1-gen-2022 | Jacob, D.; Unnsteinsdottir Kristensen, I. S.; Aubonnet, R.; Recenti, M.; Donisi, L.; Ricciardi, C.; Svansson, H. A. R.; Agnarsdottir, S.; Colacino, A.; Jonsdottir, M. K.; Kristjansdottir, H.; Sigurjonsdottir, H. A.; Cesarelli, M.; Eggertsdottir Claessen, L. O.; Hassan, M.; Petersen, H.; Gargiulo, P. | |
| Using Features Extracted from Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning Models | 1-gen-2023 | Cesarelli, G.; Donisi, L.; Amato, F.; Romano, M.; Cesarelli, M.; D'Addio, G.; Ponsiglione, A. M.; Ricciardi, C. | |
| TriAD: A Deep Ensemble Network for Alzheimer Classification and Localization | 1-gen-2023 | Mercaldo, F.; Giammarco, M. D.; Ravelli, F.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
| Explainable Deep Learning for Face Mask Detection | 1-gen-2023 | Cesarelli, M.; Iadarola, G.; Martinelli, F.; Mercaldo, F.; Santone, A. | |
| MRI Liver Imaging Integrated with Texture Analysis in Native Liver Survivor Patients with Biliary Atresia after Kasai Portoenterostomy: Correlation with Medical Outcome after Surgical Treatment | 1-gen-2023 | Caruso, M.; Stanzione, A.; Ricciardi, C.; Di Dato, F.; Pisani, N.; Delli Paoli, G.; De Giorgi, M.; Liuzzi, R.; Mollica, C.; Romeo, V.; Iorio, R.; Cesarelli, M.; Brunetti, A.; Maurea, S. | |
| A Managerial Approach to Investigate Fall Risk in a Rehabilitation Hospital | 1-gen-2023 | Cesarelli, G.; Petrelli, R.; Adamo, S.; Monce, O.; Ricciardi, C.; Cristallo, E.; Ruccia, M.; Cesarelli, M. | |
| Experimenting with Extreme Learning Machine for Biomedical Image Classification | 1-gen-2023 | Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
| Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks | 1-gen-2023 | Mercaldo, F.; Di Giammarco, M.; Apicella, A.; Di Iadarola, G.; Cesarelli, M.; Martinelli, F.; Santone, A. | |
| Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation | 1-gen-2023 | Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
| sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings | 1-gen-2023 | Donisi, L.; Jacob, D.; Guerrini, L.; Prisco, G.; Esposito, F.; Cesarelli, M.; Amato, F.; Gargiulo, P. | |
| Generative Adversarial Networks in Retinal Image Classification | 1-gen-2023 | Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
| Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy | 1-gen-2023 | Ricciardi, C.; Pisani, N.; Donisi, L.; Abate, F.; Amboni, M.; Barone, P.; Picillo, M.; Cesarelli, M.; Amato, F. | |
| Object Detection for Brain Cancer Detection and Localization | 1-gen-2023 | Mercaldo, F.; Brunese, L.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
| Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study | 1-gen-2024 | Mercaldo, F.; Brunese, L.; Santone, A.; Martinelli, F.; Cesarelli, M. | |
| Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks | 1-gen-2024 | Mercaldo, F.; Di Giammarco, M.; Ravelli, F.; Martinelli, F.; Santone, A.; Cesarelli, M. | |
| Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors | 1-gen-2024 | Prisco, G.; Romano, M.; Esposito, F.; Cesarelli, M.; Santone, A.; Donisi, L.; Amato, F. | |
| An Explainable Method for Lung Cancer Detection and Localisation from Tissue Images through Convolutional Neural Networks | 1-gen-2024 | Mercaldo, F.; Tibaldi, M. G.; Lombardi, L.; Brunese, L.; Santone, A.; Cesarelli, M. |
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