SASSI, MARTINA
SASSI, MARTINA
Facoltà Dipartimentale di Ingegneria
A M-IMU-to-Segment Alignment Procedure for Shoulder Angles Estimation: a Preliminary Study
2024-01-01 Carnevale, Arianna; Sassi, Martina; Antonacci, Carla; Schena, Emiliano; Longo, Umile Giuseppe
A Machine Learning Approach for Predicting Electrophysiological Responses in Genetically Modified HEK Cells
2024-01-01 Vitale, J.; Sassi, 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.
Classification of shoulder rehabilitation exercises by using wearable systems and machine learning algorithms
2024-01-01 Sassi, M.; Carnevale, A.; Mancuso, M.; Schena, E.; Pecchia, L.; Longo, U. G.
Echocardiographic Image-Based Classification of Cardiac Amyloidosis: A Proof of Concept
2025-01-01 Pagnano, Maria Elisabetta; Sassi, Martina; Vitale, Jacopo; Matarrese, Margherita Anna Grazia; Cirillo, Chiara; Crispino, Filippo; Limongelli, Giuseppe; Pecchia, Leandro
Genetic Algorithm for Predicting Primary Imatinib Resistance in Locally Advanced or Metastatic Gastrointestinal Stromal Tumors
2025-01-01 Sassi, Martina; Vitale, Jacopo; Pagnano, Maria Elisabetta; Risi Ambrogioni, Laura; Matarrese, Margherita Anna Grazia; Vincenzi, Bruno; Pecchia, Leandro
Machine-learning models for shoulder rehabilitation exercises classification using a wearable system
2024-01-01 Sassi, M.; Carnevale, A.; Mancuso, M.; Schena, E.; Pecchia, L.; Longo, U. G.
Motion Tracking Algorithms Based on Wearable Inertial Sensor: A Focus on Shoulder
2022-01-01 Longo, U. G.; De Salvatore, S.; Sassi, M.; Carnevale, A.; De Luca, G.; Denaro, V.
Revealing Statistical Patterns in Shoulder Rehabilitation Exercises Characteristics
2024-01-01 Sassi, M.; Matarrese, M. A. G.; Longo, U. G.; Pecchia, L.
Spectrogram-Based Approach with Convolutional Neural Network for Human Activity Classification
2024-01-01 Sassi, M.; Haleem, M. S.; Pecchia, L.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A M-IMU-to-Segment Alignment Procedure for Shoulder Angles Estimation: a Preliminary Study | 1-gen-2024 | Carnevale, Arianna; Sassi, Martina; Antonacci, Carla; Schena, Emiliano; Longo, Umile Giuseppe | |
| A Machine Learning Approach for Predicting Electrophysiological Responses in Genetically Modified HEK Cells | 1-gen-2024 | Vitale, J.; Sassi, 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. | |
| Classification of shoulder rehabilitation exercises by using wearable systems and machine learning algorithms | 1-gen-2024 | Sassi, M.; Carnevale, A.; Mancuso, M.; Schena, E.; Pecchia, L.; Longo, U. G. | |
| Echocardiographic Image-Based Classification of Cardiac Amyloidosis: A Proof of Concept | 1-gen-2025 | Pagnano, Maria Elisabetta; Sassi, Martina; Vitale, Jacopo; Matarrese, Margherita Anna Grazia; Cirillo, Chiara; Crispino, Filippo; Limongelli, Giuseppe; Pecchia, Leandro | |
| Genetic Algorithm for Predicting Primary Imatinib Resistance in Locally Advanced or Metastatic Gastrointestinal Stromal Tumors | 1-gen-2025 | Sassi, Martina; Vitale, Jacopo; Pagnano, Maria Elisabetta; Risi Ambrogioni, Laura; Matarrese, Margherita Anna Grazia; Vincenzi, Bruno; Pecchia, Leandro | |
| Machine-learning models for shoulder rehabilitation exercises classification using a wearable system | 1-gen-2024 | Sassi, M.; Carnevale, A.; Mancuso, M.; Schena, E.; Pecchia, L.; Longo, U. G. | |
| Motion Tracking Algorithms Based on Wearable Inertial Sensor: A Focus on Shoulder | 1-gen-2022 | Longo, U. G.; De Salvatore, S.; Sassi, M.; Carnevale, A.; De Luca, G.; Denaro, V. | |
| Revealing Statistical Patterns in Shoulder Rehabilitation Exercises Characteristics | 1-gen-2024 | Sassi, M.; Matarrese, M. A. G.; Longo, U. G.; Pecchia, L. | |
| Spectrogram-Based Approach with Convolutional Neural Network for Human Activity Classification | 1-gen-2024 | Sassi, M.; Haleem, M. S.; Pecchia, L. |