Sfoglia per Autore
Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning Approach
2020-01-01 Perpetuini, David; Chiarelli, Antonio Maria; Cardone, Daniela; Rinella, Sergio; Massimino, Simona; Bianco, Francesco; Bucciarelli, Valentina; Vinciguerra, Vincenzo; Fallica, Giorgio; Perciavalle, Vincenzo; Gallina, Sabina; Merla, Arcangelo
Fiberless, multi-channel fNIRS-EEG system based on silicon photomultipliers: Towards sensitive and ecological mapping of brain activity and neurovascular coupling
2020-01-01 Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Greco, G.; Mistretta, L.; Rizzo, R.; Vinciguerra, V.; Romeo, M. F.; Zappasodi, F.; Merla, A.; Fallica, P. G.; Edlinger, G.; Ortner, R.; Giaconia, G. C.
Tomographic task-related functional near-infrared spectroscopy in acute sport-related concussion: An observational case study
2020-01-01 Forcione, M.; Chiarelli, A. M.; Perpetuini, D.; Davies, D. J.; O'Halloran, P.; Hacker, D.; Merla, A.; Belli, A.
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke through Machine Learning Approaches
2020-01-01 Chiarelli, A. M.; Croce, P.; Assenza, G.; Merla, A.; Granata, G.; Giannantoni, N. M.; Pizzella, V.; Tecchio, F.; Zappasodi, F.
Dynamic contrast-enhanced near-infrared spectroscopy using indocyanine green on moderate and severe traumatic brain injury: A prospective observational study
2020-01-01 Forcione, M.; Yakoub, K. M.; Chiarelli, A. M.; Perpetuini, D.
Cerebral perfusion and blood–brain barrier assessment in brain trauma using contrast-enhanced near-infrared spectroscopy with indocyanine green: A review
2020-01-01 Forcione, M.; Chiarelli, A. M.; Davies, D. J.; Perpetuini, D.; Sawosz, P.; Merla, A.; Belli, A.
Working memory decline in Alzheimer’s disease is detected by complexity analysis of multimodal EEG-fnirs
2020-01-01 Perpetuini, D.; Chiarelli, A. M.; Filippini, C.; Cardone, D.; Croce, P.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A.
Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects
2020-01-01 Kong, Tania S; Gratton, Caterina; Low, Kathy A; Tan, Chin Hong; Chiarelli, Antonio M; Fletcher, Mark A; Zimmerman, Benjamin; Maclin, Edward L; Sutton, Bradley P; Gratton, Gabriele; Fabiani, Monica
Driver Stress State Evaluation by Means of Thermal Imaging: A Supervised Machine Learning Approach Based on ECG Signal
2020-01-01 Cardone, Daniela; Perpetuini, David; Filippini, Chiara; Spadolini, Edoardo; Mancini, Lorenza; Chiarelli, ANTONIO MARIA; Merla, Arcangelo
Imaging system based on silicon photomultipliers and light emitting diodes for functional near-infrared spectroscopy
2020-01-01 Maira, G.; Chiarelli, A. M.; Brafa, S.; Libertino, S.; Fallica, G.; Merla, A.; Lombardo, S.
A custom-made semiautomatic analysis of retinal nonperfusion areas after dexamethasone for diabetic macular edema
2020-01-01 Toto, L.; D'Aloisio, R.; Chiarelli, A. M.; Di Antonio, L.; Evangelista, F.; D'Onofrio, G.; Merla, A.; Parravano, M.; Di Marzio, G.; Mastropasqua, R.
MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer
2021-01-01 Delli Pizzi, A.; Chiarelli, A. M.; Chiacchiaretta, P.; D'Annibale, M.; Croce, P.; Rosa, C.; Mastrodicasa, D.; Trebeschi, S.; Lambregts, D. M. J.; Caposiena, D.; Serafini, F. L.; Basilico, R.; Cocco, G.; Di Sebastiano, P.; Cinalli, S.; Ferretti, A.; Wise, R. G.; Genovesi, D.; Beets-Tan, R. G. H.; Caulo, M.
Evidence of neurovascular un-coupling in mild alzheimer’s disease through multimodal eeg-fnirs and multivariate analysis of resting-state data
2021-01-01 Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Filippini, C.; Cardone, D.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A.
Prediction of state anxiety by machine learning applied to photoplethysmography data
2021-01-01 Perpetuini, D.; Chiarelli, A. M.; Cardone, D.; Filippini, C.; Rinella, S.; Massimino, S.; Bianco, F.; Bucciarelli, V.; Vinciguerra, V.; Fallica, P.; Perciavalle, V.; Gallina, S.; Conoci, S.; Merla, A.
Convolutional neural networks for differential diagnosis of raynaud’s phenomenon based on hands thermal patterns
2021-01-01 Filippini, C.; Cardone, D.; Perpetuini, D.; Chiarelli, A. M.; Gualdi, G.; Amerio, P.; Merla, A.
Wireless, implantable catheter-type oximeter designed for cardiac oxygen saturation
2021-01-01 Lu, W.; Bai, W.; Zhang, H.; Xu, C.; Chiarelli, A. M.; Vazquez-Guardado, A.; Xie, Z.; Shen, H.; Nandoliya, K.; Zhao, H.; Lee, K.; Wu, Y.; Franklin, D.; Avila, R.; Xu, S.; Rwei, A.; Han, M.; Kwon, K.; Deng, Y.; Yu, X.; Thorp, E. B.; Feng, X.; Huang, Y.; Forbess, J.; Ge, Z. -D.; Rogers, J. A.
Age-related ocular surface modifications assessment combining thermal infrared and deep learning approach.
2021-01-01 Filippini, C.; Chiarelli, A. M.; Cardone, D.; Perpetuini, D.; Lorenza, B.; Agnifili, L.; Mastropasqua, L.; Merla, A.
Can Functional Infrared Thermal Imaging Estimate Mental Workload in Drivers as Evaluated by Sample Entropy of the fNIRS Signal?
2021-01-01 Perpetuini, D.; Cardone, D.; Filippini, C.; Spadolini, E.; Mancini, L.; Chiarelli, A. M.; Merla, A.
Convolutional neural network model for augmentation index prediction based on photoplethysmography
2021-01-01 Perpetuini, D.; Filippini, C.; Chiarelli, A. M.; Cardone, D.; Rinella, S.; Massimino, S.; Bianco, F.; Bucciarelli, V.; Vinciguerra, V.; Fallica, P.; Perciavalle, V.; Gallina, S.; Merla, A.
A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking
2021-01-01 Perpetuini, D.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Merla, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning Approach | 2020 | Perpetuini, David; Chiarelli, Antonio Maria; Cardone, Daniela; Rinella, Sergio; Massimino, Simona; Bianco, Francesco; Bucciarelli, Valentina; Vinciguerra, Vincenzo; Fallica, Giorgio; Perciavalle, Vincenzo; Gallina, Sabina; Merla, Arcangelo | |
| Fiberless, multi-channel fNIRS-EEG system based on silicon photomultipliers: Towards sensitive and ecological mapping of brain activity and neurovascular coupling | 2020 | Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Greco, G.; Mistretta, L.; Rizzo, R.; Vinciguerra, V.; Romeo, M. F.; Zappasodi, F.; Merla, A.; Fallica, P. G.; Edlinger, G.; Ortner, R.; Giaconia, G. C. | |
| Tomographic task-related functional near-infrared spectroscopy in acute sport-related concussion: An observational case study | 2020 | Forcione, M.; Chiarelli, A. M.; Perpetuini, D.; Davies, D. J.; O'Halloran, P.; Hacker, D.; Merla, A.; Belli, A. | |
| Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke through Machine Learning Approaches | 2020 | Chiarelli, A. M.; Croce, P.; Assenza, G.; Merla, A.; Granata, G.; Giannantoni, N. M.; Pizzella, V.; Tecchio, F.; Zappasodi, F. | |
| Dynamic contrast-enhanced near-infrared spectroscopy using indocyanine green on moderate and severe traumatic brain injury: A prospective observational study | 2020 | Forcione, M.; Yakoub, K. M.; Chiarelli, A. M.; Perpetuini, D. | |
| Cerebral perfusion and blood–brain barrier assessment in brain trauma using contrast-enhanced near-infrared spectroscopy with indocyanine green: A review | 2020 | Forcione, M.; Chiarelli, A. M.; Davies, D. J.; Perpetuini, D.; Sawosz, P.; Merla, A.; Belli, A. | |
| Working memory decline in Alzheimer’s disease is detected by complexity analysis of multimodal EEG-fnirs | 2020 | Perpetuini, D.; Chiarelli, A. M.; Filippini, C.; Cardone, D.; Croce, P.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A. | |
| Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects | 2020 | Kong, Tania S; Gratton, Caterina; Low, Kathy A; Tan, Chin Hong; Chiarelli, Antonio M; Fletcher, Mark A; Zimmerman, Benjamin; Maclin, Edward L; Sutton, Bradley P; Gratton, Gabriele; Fabiani, Monica | |
| Driver Stress State Evaluation by Means of Thermal Imaging: A Supervised Machine Learning Approach Based on ECG Signal | 2020 | Cardone, Daniela; Perpetuini, David; Filippini, Chiara; Spadolini, Edoardo; Mancini, Lorenza; Chiarelli, ANTONIO MARIA; Merla, Arcangelo | |
| Imaging system based on silicon photomultipliers and light emitting diodes for functional near-infrared spectroscopy | 2020 | Maira, G.; Chiarelli, A. M.; Brafa, S.; Libertino, S.; Fallica, G.; Merla, A.; Lombardo, S. | |
| A custom-made semiautomatic analysis of retinal nonperfusion areas after dexamethasone for diabetic macular edema | 2020 | Toto, L.; D'Aloisio, R.; Chiarelli, A. M.; Di Antonio, L.; Evangelista, F.; D'Onofrio, G.; Merla, A.; Parravano, M.; Di Marzio, G.; Mastropasqua, R. | |
| MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer | 2021 | Delli Pizzi, A.; Chiarelli, A. M.; Chiacchiaretta, P.; D'Annibale, M.; Croce, P.; Rosa, C.; Mastrodicasa, D.; Trebeschi, S.; Lambregts, D. M. J.; Caposiena, D.; Serafini, F. L.; Basilico, R.; Cocco, G.; Di Sebastiano, P.; Cinalli, S.; Ferretti, A.; Wise, R. G.; Genovesi, D.; Beets-Tan, R. G. H.; Caulo, M. | |
| Evidence of neurovascular un-coupling in mild alzheimer’s disease through multimodal eeg-fnirs and multivariate analysis of resting-state data | 2021 | Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Filippini, C.; Cardone, D.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A. | |
| Prediction of state anxiety by machine learning applied to photoplethysmography data | 2021 | Perpetuini, D.; Chiarelli, A. M.; Cardone, D.; Filippini, C.; Rinella, S.; Massimino, S.; Bianco, F.; Bucciarelli, V.; Vinciguerra, V.; Fallica, P.; Perciavalle, V.; Gallina, S.; Conoci, S.; Merla, A. | |
| Convolutional neural networks for differential diagnosis of raynaud’s phenomenon based on hands thermal patterns | 2021 | Filippini, C.; Cardone, D.; Perpetuini, D.; Chiarelli, A. M.; Gualdi, G.; Amerio, P.; Merla, A. | |
| Wireless, implantable catheter-type oximeter designed for cardiac oxygen saturation | 2021 | Lu, W.; Bai, W.; Zhang, H.; Xu, C.; Chiarelli, A. M.; Vazquez-Guardado, A.; Xie, Z.; Shen, H.; Nandoliya, K.; Zhao, H.; Lee, K.; Wu, Y.; Franklin, D.; Avila, R.; Xu, S.; Rwei, A.; Han, M.; Kwon, K.; Deng, Y.; Yu, X.; Thorp, E. B.; Feng, X.; Huang, Y.; Forbess, J.; Ge, Z. -D.; Rogers, J. A. | |
| Age-related ocular surface modifications assessment combining thermal infrared and deep learning approach. | 2021 | Filippini, C.; Chiarelli, A. M.; Cardone, D.; Perpetuini, D.; Lorenza, B.; Agnifili, L.; Mastropasqua, L.; Merla, A. | |
| Can Functional Infrared Thermal Imaging Estimate Mental Workload in Drivers as Evaluated by Sample Entropy of the fNIRS Signal? | 2021 | Perpetuini, D.; Cardone, D.; Filippini, C.; Spadolini, E.; Mancini, L.; Chiarelli, A. M.; Merla, A. | |
| Convolutional neural network model for augmentation index prediction based on photoplethysmography | 2021 | Perpetuini, D.; Filippini, C.; Chiarelli, A. M.; Cardone, D.; Rinella, S.; Massimino, S.; Bianco, F.; Bucciarelli, V.; Vinciguerra, V.; Fallica, P.; Perciavalle, V.; Gallina, S.; Merla, A. | |
| A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking | 2021 | Perpetuini, D.; Cardone, D.; Filippini, C.; Chiarelli, A. M.; Merla, A. |
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