Dr Gianluigi Tiberi


NameDr Gianluigi Tiberi
Job titleMarie Curie Fellow
Organisational UnitElectrical and Electronic Engineering

Research outputs

3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation

Ghavami, M., Khalid, B., Ghavami, N., Dudley-Mcevoy, S. and Tiberi, G. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021

Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle

Ghavami, M., Khalesi, B., Khalid, B., Ghavami, N., Dudley-Mcevoy, S. and Tiberi, G. (2021). Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021

Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network

Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2021). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. London South Bank University. https://doi.org/10.18744/lsbu.8xz49

Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters.

Sani, L., Vispa, A., Loretoni, R., Duranti, M., Ghavami, N., Alvarez Sánchez-Bayuela, D., Caschera, S., Paoli, M., Bigotti, A., Badia, M., Scorsipa, M., Raspa, G., Ghavami, M. and Tiberi, G. (2021). Breast lesion detection through MammoWave device: Empirical detection capability assessment of microwave images' parameters. PLoS ONE. 16 (4), p. e0250005. https://doi.org/10.1371/journal.pone.0250005

Breast lesion detection through MammoWave device: microwave images’ parameters

Tiberi, G., Sani, Lorenzo, Vispa, Alessandro, Loretoni, Riccardo, Duranti, Michele, Ghavami, N., Alvarez Sanchez-Bayuela, Daniel, Paoli, Martina, Bigotti, Alessandra, Badia, Mario, Scorsipa, Michele, Raspa, Giovanni, Ghavami, M. and Caschera, Stefano (2020). Breast lesion detection through MammoWave device: microwave images’ parameters. London South Bank University. https://doi.org/10.18744/lsbu.8qzyx

Design of Distributed Spiral Resonators for the Decoupling of MRI Double-Tuned RF Coils

Brizi, D, Fontana, N, Costa, F, Tiberi, G, Galante, A, Alecci, M and Monorchio, A (2020). Design of Distributed Spiral Resonators for the Decoupling of MRI Double-Tuned RF Coils. IEEE Transactions on Biomedical Engineering. 67 (10), pp. 2806-2816. https://doi.org/10.1109/TBME.2020.2971843

A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection < Return to the previous page

Khalesi, B., Sohani, B., Ghavami, N., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2019). A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection < Return to the previous page. Electronics. 8 (12), p. 1505. https://doi.org/10.3390/electronics8121505

Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data

Rana, S., Dey, M, Tiberi, G, Sani, L, Vispa, A, Raspa, G, Duranti, M, Ghavami, M and Dudley, S (2019). Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data. Scientific Reports. 9, p. 10510. https://doi.org/10.1038/s41598-019-46974-3

UWB Device for Breast Microwave Imaging: Phantom and Clinical Validations

Vispa, A, Sani, L, Paoli, M, Bigotti, A, Raspa, G, Ghavami, N, Caschera, S, Ghavami, M, Duranti, M and Tiberi, G (2019). UWB Device for Breast Microwave Imaging: Phantom and Clinical Validations. Measurement. 146, pp. 582-589. https://doi.org/10.1016/j.measurement.2019.05.109

Evaluation of Receiver Operating Characteristic Curves in a Microwave Apparatus for Breast Lesions Detection

Tiberi, G, Sani, L, Vispa, A, Paoli, M, Bigotti, A, Saracini, A, Ghavami, N, Ghavami, M, Raspa, G and Duranti, M (2019). Evaluation of Receiver Operating Characteristic Curves in a Microwave Apparatus for Breast Lesions Detection. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019

Phase-weighted UWB Imaging through Huygens Principle

Tiberi, G, Khalesi, B, Sohani, B, Ghavami, N, Dudley, S and Ghavami, M (2019). Phase-weighted UWB Imaging through Huygens Principle. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019

Microwave imaging for stroke detection: validation on head-mimicking phantom

Sohani, B, Tiberi, G, Ghavami, N, Ghavami, M, Dudley, S and Rahimi, A (2019). Microwave imaging for stroke detection: validation on head-mimicking phantom. PIERS (hotonIcs & Electromagnetics Research Symposium). Rome, Italy 17 - 20 Jun 2019

Novel Microwave Apparatus for Breast Lesions Detection: Preliminary Clinical Results

sani, L, Ghavami, N, Ghavami, M and Tiberi, G (2019). Novel Microwave Apparatus for Breast Lesions Detection: Preliminary Clinical Results. Biomedical Signal Processing and Control. 52, pp. 257-263. https://doi.org/10.1016/j.bspc.2019.04.025

UWB Device for Microwave Imaging: Validation through Phantoms

Ghavami, M, Vispa, A, Sani, L, Paoli, M, Bigotti, A, Raspa, G, Ghavami, N and Tiberi, G (2019). UWB Device for Microwave Imaging: Validation through Phantoms. 13th European Conference on Antennas and Propagation. Krakow, Poland 31 Mar - 05 Apr 2019

Skin Cancer Detection through Microwaves: Validation on Phantom Measurements

Ghavami, M, Ghavami, N, Khalesi, B, Tiberi, G and Dudley, S (2018). Skin Cancer Detection through Microwaves: Validation on Phantom Measurements. IEEE International Conference on Imaging Systems and Techniques (IST 2018). Krakow, Poland 16 - 18 Oct 2018 https://doi.org/10.1109/IST.2018.8577109

Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection

Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME (2016). Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection. 10th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Prague, Czech Republic 20 - 22 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
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