PECCHIA, LEANDRO
PECCHIA, LEANDRO
Facoltà Dipartimentale di Ingegneria
3D-printed activated charcoal inlet filters for oxygen concentrators: A circular economy approach
2022-01-01 Williams, E.; Piaggio, D.; Andellini, M.; Pecchia, L.
A 3D-printed condom intrauterine balloon tamponade: Design, prototyping, and technical validation
2024-01-01 Piaggio, D.; Hyland, S.; Maccaro, A.; Iadanza, E.; Pecchia, L.
A convolutional neural network approach to detect congestive heart failure
2020-01-01 Porumb, M.; Iadanza, E.; Massaro, S.; Pecchia, L.
A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat Parameters
2022-01-01 Haleem, M. S.; Pecchia, L.
A framework for designing medical devices resilient to low-resource settings
2021-01-01 Piaggio, D.; Castaldo, R.; Cinelli, M.; Cinelli, S.; Maccaro, A.; Pecchia, L.
A Machine Learning Approach for Predicting Electrophysiological Responses in Genetically Modified HEK Cells
2024-01-01 Vitale, J.; Sassi, M.; Pecchia, L.
A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings
2021-01-01 Stokes, K.; Castaldo, R.; Franzese, M.; Salvatore, M.; Fico, G.; Pokvic, L. G.; Badnjevic, A.; Pecchia, L.
A MATLAB App to Assess, Compare and Validate New Methods Against Their Benchmarks
2021-01-01 Ajo', S.; Piaggio, D.; Taher, M.; Marinozzi, F.; Bini, F.; Pecchia, L.
A matlab tool to support systematic literature review with meta-analysis
2016-01-01 Meccariello, P.; Castaldo, R.; Montesinos, L; Guglielmelli, E; Pecchia, L.
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
2021-01-01 Martinez-Rios, E.; Montesinos, L.; Alfaro-Ponce, M.; Pecchia, L.
A robotic arm for safe and accurate control of biomedical equipment during COVID-19
2023-01-01 Iadanza, E.; Pasqua, G.; Piaggio, D.; Caputo, C.; Gherardelli, M.; Pecchia, L.
A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signals
2024-01-01 Haleem, M. S.; Cisuelo, O.; Andellini, M.; Castaldo, R.; Angelini, M.; Ritrovato, M.; Schiaffini, R.; Franzese, M.; Pecchia, L.
A smartphone-based tool for screening diabetic neuropathies: A mHealth and 3D printing approach
2024-01-01 Piaggio, D.; Castaldo, R.; Garibizzo, G.; Iadanza, E.; Pecchia, L.
A vest for treating jaundice in low-resource settings
2021-01-01 Piaggio, D.; Andellini, M.; Taher, M.; Pecchia, L.
Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy
2024-01-01 Sassi, M.; Villa Corta, M.; Pisani, M. G.; Nicodemi, G.; Schena, E.; Pecchia, L.; Longo, U. G.
An Integrated Sensorized Platform for Environmental Monitoring in Healthcare
2023-01-01 Gandah, Simona; Chiurazzi, Marcello; Domina, Irene; Dei, Neri Niccolò; Spreafico, Giorgia; Scotto di Luzio, Francesco; Tagliamonte, Nevio L.; Sanz, Sofia Granda; Fico, Giuseppe; Pecchia, Leandro; Zollo, Loredana; Ciuti, Gastone
Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public
2024-01-01 Gyftopoulos, S.; Drosatos, G.; Fico, G.; Pecchia, L.; Kaldoudi, E.
Are the variations in ECG morphology associated to different blood glucose levels? implications for non-invasive glucose monitoring for T1D paediatric patients
2024-01-01 Andellini, M.; Castaldo, R.; Cisuelo, O.; Franzese, M.; Haleem, M. S.; Ritrovato, M.; Pecchia, L.; Schiaffini, R.
Artificial intelligence for left ventricular hypertrophy detection and differentiation on echocardiography, cardiac magnetic resonance and cardiac computed tomography: A systematic review
2025-01-01 Cirillo, Chiara; Matarrese, Margherita Anna Grazia; Monda, Emanuele; Pagnano, Maria Elisabetta; Vitale, Jacopo; Verrillo, Federica; Palmiero, Giuseppe; Bassolino, Sabrina; Buono, Pietro; Caiazza, Martina; Loffredo, Francesco; Pecchia, Leandro; Limongelli, Giuseppe
Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol
2023-01-01 Andellini, M.; Haleem, S.; Angelini, M.; Ritrovato, M.; Schiaffini, R.; Iadanza, E.; Pecchia, L.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 3D-printed activated charcoal inlet filters for oxygen concentrators: A circular economy approach | 1-gen-2022 | Williams, E.; Piaggio, D.; Andellini, M.; Pecchia, L. | |
| A 3D-printed condom intrauterine balloon tamponade: Design, prototyping, and technical validation | 1-gen-2024 | Piaggio, D.; Hyland, S.; Maccaro, A.; Iadanza, E.; Pecchia, L. | |
| A convolutional neural network approach to detect congestive heart failure | 1-gen-2020 | Porumb, M.; Iadanza, E.; Massaro, S.; Pecchia, L. | |
| A Deep Learning Based ECG Segmentation Tool for Detection of ECG Beat Parameters | 1-gen-2022 | Haleem, M. S.; Pecchia, L. | |
| A framework for designing medical devices resilient to low-resource settings | 1-gen-2021 | Piaggio, D.; Castaldo, R.; Cinelli, M.; Cinelli, S.; Maccaro, A.; Pecchia, L. | |
| A Machine Learning Approach for Predicting Electrophysiological Responses in Genetically Modified HEK Cells | 1-gen-2024 | Vitale, J.; Sassi, M.; Pecchia, L. | |
| A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings | 1-gen-2021 | Stokes, K.; Castaldo, R.; Franzese, M.; Salvatore, M.; Fico, G.; Pokvic, L. G.; Badnjevic, A.; Pecchia, L. | |
| A MATLAB App to Assess, Compare and Validate New Methods Against Their Benchmarks | 1-gen-2021 | Ajo', S.; Piaggio, D.; Taher, M.; Marinozzi, F.; Bini, F.; Pecchia, L. | |
| A matlab tool to support systematic literature review with meta-analysis | 1-gen-2016 | Meccariello, P.; Castaldo, R.; Montesinos, L; Guglielmelli, E; Pecchia, L. | |
| A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data | 1-gen-2021 | Martinez-Rios, E.; Montesinos, L.; Alfaro-Ponce, M.; Pecchia, L. | |
| A robotic arm for safe and accurate control of biomedical equipment during COVID-19 | 1-gen-2023 | Iadanza, E.; Pasqua, G.; Piaggio, D.; Caputo, C.; Gherardelli, M.; Pecchia, L. | |
| A Self-Attention Deep Neural Network Regressor for real time blood glucose estimation in paediatric population using physiological signals | 1-gen-2024 | Haleem, M. S.; Cisuelo, O.; Andellini, M.; Castaldo, R.; Angelini, M.; Ritrovato, M.; Schiaffini, R.; Franzese, M.; Pecchia, L. | |
| A smartphone-based tool for screening diabetic neuropathies: A mHealth and 3D printing approach | 1-gen-2024 | Piaggio, D.; Castaldo, R.; Garibizzo, G.; Iadanza, E.; Pecchia, L. | |
| A vest for treating jaundice in low-resource settings | 1-gen-2021 | Piaggio, D.; Andellini, M.; Taher, M.; Pecchia, L. | |
| Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy | 1-gen-2024 | Sassi, M.; Villa Corta, M.; Pisani, M. G.; Nicodemi, G.; Schena, E.; Pecchia, L.; Longo, U. G. | |
| An Integrated Sensorized Platform for Environmental Monitoring in Healthcare | 1-gen-2023 | Gandah, Simona; Chiurazzi, Marcello; Domina, Irene; Dei, Neri Niccolò; Spreafico, Giorgia; Scotto di Luzio, Francesco; Tagliamonte, Nevio L.; Sanz, Sofia Granda; Fico, Giuseppe; Pecchia, Leandro; Zollo, Loredana; Ciuti, Gastone | |
| Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public | 1-gen-2024 | Gyftopoulos, S.; Drosatos, G.; Fico, G.; Pecchia, L.; Kaldoudi, E. | |
| Are the variations in ECG morphology associated to different blood glucose levels? implications for non-invasive glucose monitoring for T1D paediatric patients | 1-gen-2024 | Andellini, M.; Castaldo, R.; Cisuelo, O.; Franzese, M.; Haleem, M. S.; Ritrovato, M.; Pecchia, L.; Schiaffini, R. | |
| Artificial intelligence for left ventricular hypertrophy detection and differentiation on echocardiography, cardiac magnetic resonance and cardiac computed tomography: A systematic review | 1-gen-2025 | Cirillo, Chiara; Matarrese, Margherita Anna Grazia; Monda, Emanuele; Pagnano, Maria Elisabetta; Vitale, Jacopo; Verrillo, Federica; Palmiero, Giuseppe; Bassolino, Sabrina; Buono, Pietro; Caiazza, Martina; Loffredo, Francesco; Pecchia, Leandro; Limongelli, Giuseppe | |
| Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol | 1-gen-2023 | Andellini, M.; Haleem, S.; Angelini, M.; Ritrovato, M.; Schiaffini, R.; Iadanza, E.; Pecchia, L. |