Carloni G. & Berti A., et al. "On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet" in ICPR 2022 International Conference on Pattern Recognition - AIHA 2nd International Workshop, 2022

Titolo convegno/congresso: ICPR 2022 International Conference on Pattern Recognition - Artificial Intelligence for Healthcare Applications 2nd International Workshop Data/e convegno/congresso: 21-25/08/2022 Autori: Gianluca Carloni (1,2,*), Andrea...

Carloni, G., Berti, A., Iacconi, C., Pascali, M. A., & Colantonio, S. (2022, August). On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet. In Int Conf on Pattern Recognition

Titolo del convegno/congresso: ICPR 2022 International Conference on Pattern Recognition - Artificial Intelligence for Healthcare Applications 2nd International Workshop, 21-25/08/2022. Autori: Gianluca Carloni (1,2,*), Andrea Berti (1,2,*), Chiara...

P. Nannipieri et al., "ICU4SAT: A General-Purpose Reconfigurable Instrument Control Unit Based on Open Source Components," 2022 IEEE Aerospace Conference (AERO), 2022, pp. 1-9

As the number of earth observation missions in-creases, together with the number of images acquired by satel-lites, the need for optimizing onboard memory allocation and bandwidth to the ground is becoming more and more critical. Currently, large...

D. Orlandi, F. A. Galatolo, M. G. C. A. Cimino, A. L. Rosa, C. Pagli and N. Perilli, "Enhancing land subsidence awareness via InSAR data and Deep Transformers," 2022 IEEE CogSIMA

D. Orlandi, F. A. Galatolo, M. G. C. A. Cimino, A. L. Rosa, C. Pagli and N. Perilli, "Enhancing land subsidence awareness via InSAR data and Deep Transformers," 2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management...

Scarciglia, A., Catrambone, V., Bonanno, C., & Valenza, G. (2022, July). Multiscale partition-based Kolmogorov-Sinai Entropy: a preliminary HRV study on Heart Failure vs. Atrial Fibrillation. In 2022 44th Annual International Conference of the IEEE

Scarciglia, A., Catrambone, V., Bonanno, C., & Valenza, G. (2022). A Multiscale Partition-Based Kolmogorov–Sinai Entropy for the Complexity Assessment of Heartbeat Dynamics. Bioengineering, 9(2), 80.

"Intelligent Reconfigurable Surfaces vs. Decode-and-Forward: What is the Impact of Electromagnetic Interference?," IEEE 23rd International Workshop on Signal Processing Advances

D. A. Coccomini, R. Caldelli, F. Falchi, C. Gennaro, and G. Amato. 2022. Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. In Proceedings of International Workshop on Multimedia AI against Disinformation, NY, USA

Deepfake Generation Techniques are evolving at a rapid pace, making it possible to create realistic manipulated images and videos and endangering the serenity of modern society. The continual emergence of new and varied techniques brings with it a...

D. A. Coccomini, N. Messina, C. Gennaro, and F. Falchi. 2022. Combining EfficientNet and Vision Transformers for Video Deepfake Detection. In Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23–27, 2022

Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the astonishing advances in deep generative models, fake images or videos are nowadays obtained using variational autoencoders (VAEs) or Generative Adversarial...

P. Seghetti, N. Biasi, et al. Low cardiac frequency associated with higher number of extrasistoles in a computational model of Brugada Syndrome. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society

Brugada Syndrome is a form of idiopathic ventricular fibrillation, to date there is no definitive theory about how ventricular fibrillation is initiated or its substrate. Starting from the clinical observation that cardiac episodes are more frequent at...

N. Biasi, P. Seghetti, A. Tognetti. A transmurally heterogeneous model of the ventricular tissue and its application for simulation of Brugada Syndrome. In: 2022 44th Annual International Conference of the IEEE Engineering in Medic

We present a transmurally heterogeneous phenomenological model of ventricular tissue that is designed to reproduce the most important features of action potential propagation of endocardial, midmyocardial, and epicardial tissue. Our model consists of...

N. Biasi, P. Seghetti, A. Tognetti. Diffuse fibrosis and repolarization disorders explain ventricular arrhythmias in Brugada syndrome: a computational study. Scientific Reports, 2022, 12.1: 1-15.

In this work, we reported a computational study to quantitatively determine the individual contributions of three candidate arrhythmic factors associated with Brugada Syndrome. In particular, we focused our analysis on the role of structural...

N. Biasi et al. Physics-Based Simulation and Machine Learning for the Practical Implementation of EIT-Based Tactile Sensors. IEEE Sensors Journal, 2022, 22.5: 4186-4196.

This work reports an innovative framework toward the practical implementation of tactile sensors based on electrical impedance tomography. Particularly, we tested our framework on the development of a piezoresistive insole-shaped sensor prototype. Our...

N. Biasi, A. Tognetti. A computationally efficient dynamic model of human epicardial tissue. Plos one, 2021, 16.10: e0259066.

We present a new phenomenological model of human ventricular epicardial cells and we test its reentry dynamics. The model is derived from the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and represents the total ionic current divided...

N. Biasi, A. Tognetti. Computational Efficient Model for Human Ventricular Epicardial Cells. In: 2021 Computing in Cardiology (CinC). IEEE, 2021. p. 1-4.

We developed a new phenomenological model for ventricular epicardial cells. The proposed model is based on the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and consists of only three state variables. Furthermore, our model includes a...

M.Basile, G. Nardini, P. Perazzo and G. Dini, "A Rational Mining Strategy for Proof-of-Work Consensus Algorithms", 2022 IEEE Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), 2022

To maintain a secured, universal state of a blockchain, Proof-of-Work consensus algorithms economically incentivize miners to compete for block creation through hashing- based challenge solving. Nowadays, the default mining strategy consists in...

M.Basile, G. Nardini, P. Perazzo and G. Dini, "SegWit Extension and Improvement of the BlockSim Bitcoin Simulator," 2022 IEEE International Conference on Blockchain (Blockchain), 2022

Fourteen years after its inception, the Bitcoin market capitalization exceeds $700 trillion. As Bitcoin blockchain continues gaining tremendous interest, it is vital evaluating Bitcoin protocol performance. In this context, the BlockSim simulation...

Gioia, Federica, et al. "Potential physiological stress biomarkers in human sweat." 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2022.

Gioia, F., Greco, A., Callara, A. L., & Scilingo, E. P. (2022). Towards a Contactless Stress Classification Using Thermal Imaging. Sensors, 22(3), 976.

F. Rossi, L. Fiaschi, M. Cococcioni, S. Saponara. Design and FPGA Synthesis of BAN Processing Unit for non-Archimedean Number Crunching

Abstract: This work presents the design and synthesis of a processing unit for numbers encoded according to the recently introduced BAN format. Such an encoding allows one to represent numbers which are not only finite (as the reals) but also...