Sfoglia
On-Line Tests of Real-Time Time Scale Generation Algorithms Based on a Primary Frequency Standard and a Clock Ensemble
2021 Formichella, V; Signorile, G; Thai, Tt; Gozzelino, M; Sesia, I; Levi, F; Galleani, L; Costanzo, Ga
Mitigation of Lamplight-Induced Frequency Variations in Space Rubidium Clocks
2017 Formichella, V; Tavella, P; Camparo, J
Use of the k0-INRIM 2.0 software in k0-INAA
2022 DI LUZIO, Marco; D'Agostino, Giancarlo
The 2021 IAEA software intercomparison for k0-INAA
2022 D’Agostino, Giancarlo; Blaauw, M.; Dung, H. M.; DI LUZIO, Marco; Jacimovic, R.; Da Silva, Dias; M., Semmler; Van, Sluijs; Pessoa, Barradas
Switched Gradient Field as a Source of Heating Hazard for Patients Carrying Metallic Orthopaedic Implants: from Outset to Standard
2022 Zanovello, U.
Helmholtz-EPT with a multichannel Tx/Rx RF coil at 3 T
2022 Zanovello, U.; Arduino, A.; Seifert, F.; Zilberti, L.
Il progetto “FRATERNISE”: Facility ad elevata accuRAtezza Temporale pEr espeRimeNti di fISica fondamEntale
2022 Cantoni, E.; Cerretto, G.; Gnesi, I.; Sellone, M.
A metrologically sound uncertainty assessment in EPT experiments on a homogeneous phantom under repeatability and reproducibility conditions
2022 Arduino, Alessandro; Pennecchi, FRANCESCA ROMANA; Katscher, Ulrich; Cox, Maurice; Zilberti, Luca
Fast high-resolution Electric Properties Mapping using 3D MR Fingerprinting based water fraction estimation (MRF-EPT)
2022 Cencini, M.; Lancione, M.; Biagi, L.; Pasquariello, R.; Peretti, L.; Pirkl, C. M.; Schulte, R. F.; Buonincontri, G.; Arduino, A.; Zilberti, L.; Tosetti, M.
Metrological characterisation of quantitative MRI techniques in completely controlled conditions
2022 Marmin, S.; Arduino, A.; Bosnjakovic, A.; Zilberti, L.
Towards Anomaly Detection in Electrical Properties Tomography Brain Scans
2022 Bele, S.; Arduino, A.; Zilberti, L.; Sadikov, A.
In silico Experimental Array of a Heterogeneous Phantom for EPT Reconstruction during Temperature Increase
2022 Martinez, J.; Arduino, A.; Bottauscio, O.; Zilberti, L.
Subject Specific Brain SAR Maps Based on B1+ with CR-EPT Derived Electrical Conductivity
2022 Martinez, J.; Arduino, A.; Bottauscio, O.; Zilberti, L.
Magnetic Resonance Electrical Properties Tomography during Temperature Increase: case study in a heterogeneous phantom
2022 Martinez, J.; Arduino, A.; Moulin, K.; Troia, A.; Bottauscio, O.; Zilberti, L.
Towards Assessing Reliability of Reconstructions of Electrical Properties Tomography
2022 Bele, S.; Arduino, A.; Zilberti, L.; Sadikov, A.
Conformity assessment of a sample of items – an extension of the JCGM 106:2012
2022 Pennecchi, F.; Kuselman, I.
Pixel-wise uncertainty quantification in electric properties tomography
2022 Arduino, A.; Mandija, S.; Pennecchi, F.; van den Berg, C. A. T.; Zilberti, L.
On the linearisation of a measurement model – An objective legitimacy criterion
2022 Callegaro, L.; Pennecchi, F.; Bich, W.
Bayesian Machine Learning and variational inference for on-site sensor calibration in Smart Bay Santa Teresa seawater monitoring
2022 Ma, Q.; Durin, G.; Pennecchi, F.; Lombardi, C.; Petrioli, C.
Extension of the JCGM 106:2012 - Conformity assessment of multicomponent items and finite statistical samples
2022 Pennecchi, FRANCESCA ROMANA; Kuselman, Ilya
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| On-Line Tests of Real-Time Time Scale Generation Algorithms Based on a Primary Frequency Standard and a Clock Ensemble / Formichella, V; Signorile, G; Thai, Tt; Gozzelino, M; Sesia, I; Levi, F; Galleani, L; Costanzo, Ga. - (2021), pp. 1-2. [10.1109/EFTF/IFCS52194.2021.9604266] | 2021 | Formichella, VSignorile, GThai, TTGozzelino, MSesia, ILevi, F + | - |
| Mitigation of Lamplight-Induced Frequency Variations in Space Rubidium Clocks / Formichella, V; Tavella, P; Camparo, J. - (2017), pp. 185-185. [10.1109/FCS.2017.8088841] | 2017 | Formichella, VTavella, P + | - |
| Use of the k0-INRIM 2.0 software in k0-INAA / DI LUZIO, Marco; D'Agostino, Giancarlo. - (2022). | 2022 | Di Luzio MarcoD’Agostino D'Agostino | 8th-k0-workshop-Book-abstracts_Jun2022 - D'AGOSTINO.pdf |
| The 2021 IAEA software intercomparison for k0-INAA / D’Agostino, Giancarlo; Blaauw, M.; Dung, H. M.; DI LUZIO, Marco; Jacimovic, R.; Da Silva, Dias; M., Semmler; Van, Sluijs; Pessoa, Barradas. - (2022). | 2022 | D’Agostino GiancarloDi Luzio Marco + | 8th-k0-workshop-Book-abstracts_Jun2022.pdf |
| Switched Gradient Field as a Source of Heating Hazard for Patients Carrying Metallic Orthopaedic Implants: from Outset to Standard / Zanovello, U.. - (2022). (Intervento presentato al convegno ISMRM Workshop on MR Safety: From Physics & Physiology to Policies & Practice tenutosi a New York nel 21-23 ottobre 2022). | 2022 | U. Zanovello | Zanovello.pdf |
| Helmholtz-EPT with a multichannel Tx/Rx RF coil at 3 T / Zanovello, U.; Arduino, A.; Seifert, F.; Zilberti, L.. - (2022). (Intervento presentato al convegno 2022 Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping tenutosi a Lucca nel 16-19 ottobre 2022). | 2022 | U. ZanovelloA. ArduinoL. Zilberti + | Zanovello-Abstract.pdf |
| Il progetto “FRATERNISE”: Facility ad elevata accuRAtezza Temporale pEr espeRimeNti di fISica fondamEntale / Cantoni, E.; Cerretto, G.; Gnesi, I.; Sellone, M.. - (2022). | 2022 | E. CantoniG. CerrettoM. Sellone + | ACN_04.pdf |
| A metrologically sound uncertainty assessment in EPT experiments on a homogeneous phantom under repeatability and reproducibility conditions / Arduino, Alessandro; Pennecchi, FRANCESCA ROMANA; Katscher, Ulrich; Cox, Maurice; Zilberti, Luca. - (2022). (Intervento presentato al convegno 2022 Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping tenutosi a Lucca, IT nel 16-19 ottobre 2022). | 2022 | Alessandro ArduinoFrancesca PennecchiLuca Zilberti + | S08.OR04_EPT.005.Arduino.Uncertainty.pdf |
| Fast high-resolution Electric Properties Mapping using 3D MR Fingerprinting based water fraction estimation (MRF-EPT) / Cencini, M.; Lancione, M.; Biagi, L.; Pasquariello, R.; Peretti, L.; Pirkl, C. M.; Schulte, R. F.; Buonincontri, G.; Arduino, A.; Zilberti, L.; Tosetti, M.. - (2022). (Intervento presentato al convegno 2022 Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping tenutosi a Lucca nel 16-19 ottobre 2022). | 2022 | Arduino A.Zilberti L. + | - |
| Metrological characterisation of quantitative MRI techniques in completely controlled conditions / Marmin, S.; Arduino, A.; Bosnjakovic, A.; Zilberti, L.. - (2022). (Intervento presentato al convegno Mathmet international conference tenutosi a Parigi nel 2-4 novembre 2022). | 2022 | Arduino A.Zilberti L. + | - |
| Towards Anomaly Detection in Electrical Properties Tomography Brain Scans / Bele, S.; Arduino, A.; Zilberti, L.; Sadikov, A.. - (2022). (Intervento presentato al convegno 2022 Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping tenutosi a Lucca nel 16-19 ottobre 2022). | 2022 | Arduino A.Zilberti L. + | - |
| In silico Experimental Array of a Heterogeneous Phantom for EPT Reconstruction during Temperature Increase / Martinez, J.; Arduino, A.; Bottauscio, O.; Zilberti, L.. - (2022). (Intervento presentato al convegno 2022 Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping tenutosi a Lucca nel 16-19 ottobre 2022). | 2022 | Arduino A.Bottauscio O.Zilberti L. + | - |
| Subject Specific Brain SAR Maps Based on B1+ with CR-EPT Derived Electrical Conductivity / Martinez, J.; Arduino, A.; Bottauscio, O.; Zilberti, L.. - (2022). (Intervento presentato al convegno 2022 Joint Workshop on MR phase, magnetic susceptibility and electrical properties mapping tenutosi a Lucca nel 16-19 ottobre 2022). | 2022 | Arduino A.Bottauscio O.Zilberti L. + | - |
| Magnetic Resonance Electrical Properties Tomography during Temperature Increase: case study in a heterogeneous phantom / Martinez, J.; Arduino, A.; Moulin, K.; Troia, A.; Bottauscio, O.; Zilberti, L.. - (2022). (Intervento presentato al convegno IMEKO TC1-TC7-TC13-TC18 & MATHMET Joint Symposium tenutosi a Porto (Portogallo) nel 31 agosto – 2 settembre 2022). | 2022 | Arduino A.Troia A.Bottauscio O.Zilberti L. + | - |
| Towards Assessing Reliability of Reconstructions of Electrical Properties Tomography / Bele, S.; Arduino, A.; Zilberti, L.; Sadikov, A.. - (2022). (Intervento presentato al convegno IMEKO TC1-TC7-TC13-TC18 & MATHMET Joint Symposium tenutosi a Porto (Portogallo) nel 31 agosto – 2 settembre 2022). | 2022 | Arduino A.Zilberti L. + | - |
| Conformity assessment of a sample of items – an extension of the JCGM 106:2012 / Pennecchi, F.; Kuselman, I.. - (2022). (Intervento presentato al convegno Mathmet international conference tenutosi a Arts et Métiers ParisTech – Campus de Paris, Parigi, Francia nel 2-4 Novembre 2022). | 2022 | F. Pennecchi + | Pennecchi_Abstract_MATHMET2022.pdf |
| Pixel-wise uncertainty quantification in electric properties tomography / Arduino, A.; Mandija, S.; Pennecchi, F.; van den Berg, C. A. T.; Zilberti, L.. - (2022). | 2022 | A. ArduinoF. PennecchiL. Zilberti + | Arduino_Abstract_MATHMET2022.pdf |
| On the linearisation of a measurement model – An objective legitimacy criterion / Callegaro, L.; Pennecchi, F.; Bich, W.. - (2022). (Intervento presentato al convegno MATHMET 2022 CONFERENCE tenutosi a Arts et Métiers ParisTech – Campus de Paris, Parigi, Francia nel 2-4 Novembre 2022). | 2022 | L. CallegaroF. PennecchiW. Bich | Callegaro_Abstract_MATHMET2022.pdf |
| Bayesian Machine Learning and variational inference for on-site sensor calibration in Smart Bay Santa Teresa seawater monitoring / Ma, Q.; Durin, G.; Pennecchi, F.; Lombardi, C.; Petrioli, C.. - (2022). (Intervento presentato al convegno Mathmet international conference tenutosi a Arts et Métiers ParisTech – Campus de Paris, Parigi, Francia nel 2-4 Novembre 2022). | 2022 | Q. MaG. DurinF. Pennecchi + | Ma_Abstract_MATHMET2022.pdf |
| Extension of the JCGM 106:2012 - Conformity assessment of multicomponent items and finite statistical samples / Pennecchi, FRANCESCA ROMANA; Kuselman, Ilya. - (2022), pp. 153-159. (Intervento presentato al convegno IES 2022 - Innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment (IASC Endorsed Event) tenutosi a Capua, Italia nel 27-28/1/2022). | 2022 | Francesca Pennecchi + | Pennecchi.pdf |
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