Risultati di ricerca
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E. Sebastiani, P. Angeletti, G. Bacci, R. de Gaudenzi, M. Luise, and L. Sanguinetti, “Mega Antenna Formation of Satellite Arrays,” in Proc. Intl. Commun. Satellite Systems Conf. (ICSSC), Bradford, UK, Oct. 2023.
Recently, distributed antenna technology based on formation of arrays (FoA) has been proposed in the framework of non-terrestrial network (NTN) integration to provide 5G-like mobile satellite services. To obtain the desired benefits in terms of bitrate...
https://phd.dii.unipi.it/pubblicazioni/item/5875-e-sebastiani,-p-angeletti,-g-bacci,-r-de-gaudenzi,-m-luise,-and-l-sanguinetti,-“mega-antenna-formation-of-satellite-arrays,”-in-proc-intl-commun-satellite-systems-conf-icssc-,-bradford,-uk,-oct-2023.html -
Berti, A., Buongiorno, R., Carloni, G., ... & Colantonio, S. (2023, May). Exploring the potential and challenges of AI in clinical diagnostics and remote assistance of individuals. In Conv Naz CINI sull'Intelligenza Artificiale (ITAL-IA)
Innovative technologies powered by Artificial Intelligence have the big potential to support new models of care delivery, disease prevention and quality of life promotion. The ultimate goal is a paradigm shift towards more personalized, accessible,...
https://phd.dii.unipi.it/pubblicazioni/item/5867-https-ceur-ws-org-vol-3486-110-pdf.html -
Carloni, G., Pachetti, E., & Colantonio, S. (2023). Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2616-2624).
In this paper, we present a novel method for the automatic classification of medical images that learns and leverages weak causal signals in the image. Our framework consists of a convolutional neural network backbone and a causality-extractor module...
https://phd.dii.unipi.it/pubblicazioni/item/5866-https-openaccess-thecvf-com-content-iccv2023w-cvamd-html-carloni_causality-driven_one-shot_learning_for_prostate_cancer_grading_from_mri_iccvw_2023_paper-html.html -
Carloni, G., Berti, A., & Colantonio, S. (2023). The role of causality in explainable artificial intelligence. arXiv preprint arXiv:2309.09901.
Causality and eXplainable Artificial Intelligence (XAI) have developed as separate fields in computer science, even though the underlying concepts of causation and explanation share common ancient roots. This is further enforced by the lack of review...
https://phd.dii.unipi.it/pubblicazioni/item/5865-arxiv-preprint-arxiv-2309-09901.html -
Xue, Y., Du, Y., Carloni, G., Pachetti, E., Jordan, C., & Tsaftaris, S. A. (2023). Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement. arXiv preprint arXiv:2309.13385.
Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner. Undersampling of the k-space is employed to reduce the scan duration, thus increasing patient comfort and reducing the risk...
https://phd.dii.unipi.it/pubblicazioni/item/5864-https-arxiv-org-abs-2309-13385.html -
Xue, Y., Du, Y., Carloni, G., Pachetti, E., Jordan, C., Tsaftaris, S.A. (2024). Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. In: Camara, O., et al. Statistical Atlases and Computational Models of the Heart.
Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner. Undersampling of the k-space is employed to reduce the scan duration, thus increasing patient comfort and reducing the risk...
https://phd.dii.unipi.it/publications/item/5863-xue,-y-,-du,-y-,-carloni,-g-,-pachetti,-e-,-jordan,-c-,-tsaftaris,-s-a-2023-cine-cardiac-mri-reconstruction-using-a-convolutional-recurrent-network-with-refinement-arxiv-preprint-arxiv-2309-13385.html -
Pachetti, E., & Colantonio, S. (2024). A systematic review of few-shot learning in medical imaging. Artificial Intelligence in Medicine, 102949.
The lack of annotated medical images limits the performance of deep learning models, which usually need large-scale labelled datasets. Few-shot learning techniques can reduce data scarcity issues and enhance medical image analysis, especially with...
https://phd.dii.unipi.it/pubblicazioni/item/5862-pachetti,-e-,-colantonio,-s-2023-a-systematic-review-of-few-shot-learning-in-medical-imaging-arxiv-preprint-arxiv-2309-11433.html -
Carloni, G., Pachetti, E., & Colantonio, S. (2023). Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2616-2624).
In this paper, we present a novel method for the automatic classification of medical images that learns and leverages weak causal signals in the image. Our framework consists of a convolutional neural network backbone and a causality-extractor module...
https://phd.dii.unipi.it/pubblicazioni/item/5861-carloni,-g-,-pachetti,-e-,-colantonio,-s-2023-causality-driven-one-shot-learning-for-prostate-cancer-grading-from-mri-in-proceedings-of-the-ieee-cvf-international-conference-on-computer-vision-pp-2616-2624.html -
Carloni, G., & Colantonio, S. (2023). Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results. arXiv preprint arXiv:2309.10399.
We present a new method for automatically classifying medical images that uses weak causal signals in the scene to model how the presence of a feature in one part of the image affects the appearance of another feature in a different part of the image....
https://phd.dii.unipi.it/pubblicazioni/item/5860-https-arxiv-org-abs-2309-10399.html -
VIBES: Vibro-Inertial Bionic Enhancement System in a Prosthetic Socket
Authors: Alessia Silvia Ivani, Federica Barontini, Manuel G. Catalano, Giorgio Grioli, Matteo Bianchi and Antonio Bicchi Published in ICORR 2023 Proceedings
https://phd.dii.unipi.it/pubblicazioni/item/5858-vibes-vibro-inertial-bionic-enhancement-system-in-a-prosthetic-socket.html -
M. Moglioni, A. C. Kraan, A. Berti, et al.: “MLS analysis of INSIDE in-beam PET images for the de-tection of morphological changes in patients treated with proton therapy”. In: Nuclear Instruments and Methods in Physics Research
Nome Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment Data pubblicazione: June 2023 Autori: Martina Moglioni, A.C. Kraan, A. Berti, P. Carra, P. Cerello, M. Ciocca,...
https://phd.dii.unipi.it/publications/item/5855-m-moglioni,-a-c-kraan,-a-berti,-et-al-“mls-analysis-of-inside-in-beam-pet-images-for-the-de-tection-of-morphological-changes-in-patients-treated-with-proton-therapy”-in-nuclear-instruments-and-methods-in-physics-research.html -
M. Moglioni, A. C. Kraan, A. Berti, et al.: “Analysis methods for in-beam PET images in proton therapy treatment verification: a comparison based on Monte Carlo simulations”. In: Journal of In-strumentation (JINST)
Nome Journal: Journal of In-strumentation (JINST) Data pubblicazione: 10 January 2023 Autori: M. Moglioni, A.C. Kraan, A. Berti, P. Carra, P. Cerello, M. Ciocca, V. Ferrero, E. Fiorina, E. Mazzoni, M. Morrocchi, F. Pennazio, A. Retico, V. Rosso, G....
https://phd.dii.unipi.it/publications/item/5854-m-moglioni,-a-c-kraan,-a-berti,-et-al-“analysis-methods-for-in-beam-pet-images-in-proton-therapy-treatment-verification-a-comparison-based-on-monte-carlo-simulations”-in-journal-of-in-strumentation-jinst.html -
N. Ferrante, F. Terrosi, L. Maruccio, F. Rossi, L. Fanucci and A. Bondavalli "HUSTLE: A Hardware Unit for Self-Test-Libraries Efficient Execution", ApplePies 2023, Genova, 28-29 September 2023
Abstract. Online testing of computer systems is crucial in contexts such as the safety-critical domain, where the software is usually made of functional code, which is the code implementing the application-specific functionalities, and non-functional...
https://phd.dii.unipi.it/pubblicazioni/item/5853-n-ferrante,-f-terrosi,-l-maruccio,-f-rossi,-l-fanucci-and-a-bondavalli-hustle-a-hardware-unit-for-self-test-libraries-efficient-execution-,-applepies-2023,-genova,-28-29-september-2023.html -
L. Gigli, P. Nannipieri, L. Zulberti, S. Vagaggini and L. Fanucci, "SystemVerilog UVM-based Verification Environment for a SpaceFibre Router," 2022 International SpaceWire & SpaceFibre Conference (ISC), Pisa, Italy, 2022, pp. 1-4
The number of space missions has seen continuous growth in the last years. Accordingly, satellite communications traffic and onboard spacecraft technologies have also increased. To manage high data flows in high-bandwidth communication protocols the...
https://phd.dii.unipi.it/publications/item/5851-l-gigli,-p-nannipieri,-l-zulberti,-s-vagaggini-and-l-fanucci,-systemverilog-uvm-based-verification-environment-for-a-spacefibre-router,-2022-international-spacewire-spacefibre-conference-isc-,-pisa,-italy,-2022,-pp-1-4.html -
G. Todaro, M. Monopoli, G. Benelli, L. Zulberti and T. Pacini, "Enhanced Soft GPU Architecture for FPGAs," 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 2023, pp. 177-180
Nowadays, General Purpose computing on Graphic Processing Unit (GPGPU) is deeply exploited in many application fields due to its high versatility and energy efficiency. Over the past decade, different solutions have been proposed to implement an...
https://phd.dii.unipi.it/publications/item/5850-g-todaro,-m-monopoli,-g-benelli,-l-zulberti-and-t-pacini,-enhanced-soft-gpu-architecture-for-fpgas,-2023-18th-conference-on-ph-d-research-in-microelectronics-and-electronics-prime-,-valencia,-spain,-2023,-pp-177-180.html -
M. Monopoli et al., "Exploiting FPGA Dynamic Partial Reconfiguration for a Soft GPU-based System-on-Chip," 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 2023, pp. 181-184
For many years, General Purpose Computing on Graphic Processing Units has been widely exploited in different fields of application. The hardware architectures enabling this kind of computation are increasingly complex, and their use for on-the-edge...
https://phd.dii.unipi.it/publications/item/5849-m-monopoli-et-al-,-exploiting-fpga-dynamic-partial-reconfiguration-for-a-soft-gpu-based-system-on-chip,-2023-18th-conference-on-ph-d-research-in-microelectronics-and-electronics-prime-,-valencia,-spain,-2023,-pp-181-184.html -
G. Simonte, R. Di Rienzo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “Rest Time Effect on the Series Resistance of Sodium-Metal Halide Battery”, in PEDES 2022, December 2022
Sodium-Metal Halide Batteries are an interesting alternative to the Lithium-ion ones in stationary applications. However, their complex chemistry requires an accurate battery model to fully exploit the battery capabilities. The electric-equivalent...
https://phd.dii.unipi.it/publications/item/5848-g-simonte,-r-di-rienzo,-a-verani,-f-baronti,-r-roncella,-r-saletti-“rest-time-effect-on-the-series-resistance-of-sodium-metal-halide-battery”,-in-pedes-2022,-december-2022.html -
N. Nicodemo, R. Di Rienzo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “Low-Cost Lithium-Ion Battery Characterization Setup Based on Auxiliary Batteries”, ApplePies2022
Characterization tests are key to improve the Lithium-Ion batteries performance. Unfortunately, they require expensive equipment that small companies and laboratories can hardly afford. In this paper a novel low-cost battery characterization setup is...
https://phd.dii.unipi.it/publications/item/5847-n-nicodemo,-r-di-rienzo,-a-verani,-f-baronti,-r-roncella,-r-saletti-“low-cost-lithium-ion-battery-characterization-setup-based-on-auxiliary-batteries”,-applepies2022.html -
L. Crocetti, R. Di Rienzo, A. Verani, F. Baronti, R. Roncella, R. Saletti: “A novel and robust security approach for authentication, integrity, and confidentiality of Lithium-ion Battery Management Systems”, IESES 2023, July 2023
Battery management systems (BMSs) play a critical and crucial role in ensuring the safety and the efficiency of the batteries. The increasing BMS complexity, the expanding interconnections between batteries and applications, and the introduction of...
https://phd.dii.unipi.it/publications/item/5846-l-crocetti,-r-di-rienzo,-a-verani,-f-baronti,-r-roncella,-r-saletti-“a-novel-and-robust-security-approach-for-authentication,-integrity,-and-confidentiality-of-lithium-ion-battery-management-systems”,-ieses-2023,-july-2023.html -
R. Di Rienzo, D. Micalizzi, A. Verani, N. Nicodemo, F. Baronti, R. Roncella: "Low-cost Systems to Measure the Volume Variation of Lithium-ion Cells”, 1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022, December 2022
Lithium-Ion batteries are the preferred solution for energy storage in many application fields. However, they can lead to hazardous situations and accidents when used outside their safety area. The development of early fail detection mechanisms is...
https://phd.dii.unipi.it/publications/item/5845-r-di-rienzo,-d-micalizzi,-a-verani,-n-nicodemo,-f-baronti,-r-roncella-low-cost-systems-to-measure-the-volume-variation-of-lithium-ion-cells”,-1st-ieee-industrial-electronics-society-an-nual-on-line-conference,-oncon-2022,-december-2022.html
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- CORSO ANNULLATO - Prof. Andrea Alù, City University of New York, NY, US, "Electromagnetic Metamaterials and Metasurfaces: Modeling and Applications"
- MODIFICA ORARIO - Assistant Prof. Nicolas Barbot, Univ. Grenoble Alpes, Grenoble INP, LCIS, F-26000 Valence, France, "Time-Variant and Non-Linear Transponders: from Theory to Practice", 18-21 June 2024
- M. Garabini, F. Angelini, M. Pierallini, Centro “E. Piaggio”, Dip. Ing. Informazione Univ. Pisa, "Iterative Learning Control Theory & Applications - An Alternative Approach to Exploit Data while Providing Formal Certificates", 29 July - 2 August 2024
- MODIFICA DATE CORSO Dr. Cosimo Della Santina, Cognitive Robotics, Mechanical Engineering, TU Deflt, The Netherlands Robotics and Mechatronics Institute, German Aerospace Center,Germany, "CRASH COURSE ON MODELING AND CONTROL OF CONTINUUM SOFT ROBOTS"
- MODIFICA ORARIO CORSO Dr.ssa Silvia Zorzetti, Fermi National Accelerator Laboratory, USA, "Quantum computing and communication", 9,10,11 July 2024
