Alessandro Fontanella

According to our database1, Alessandro Fontanella authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT.
CoRR, 2023

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images.
CoRR, 2023

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging.
Proceedings of the International Conference on Machine Learning, 2023

2020
Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model.
CoRR, 2020

Feedforward control for wave disturbance rejection on floating offshore wind turbines.
CoRR, 2020

Integration of 5G, VANETs and Blockchain Technology.
Proceedings of the 19th IEEE International Conference on Trust, 2020

A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA).
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

DR Detection Using Optical Coherence Tomography Angiography (OCTA): A Transfer Learning Approach with Robustness Analysis.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

Adaptive fault accommodation of pitch actuator stuck type of fault in floating offshore wind turbines: a subspace predictive repetitive control approach.
Proceedings of the 2020 American Control Conference, 2020

2019
Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection.
Microprocess. Microsystems, 2019

2018
Acceleration of brain cancer detection algorithms during surgery procedures using GPUs.
Microprocess. Microsystems, 2018

Parallel real-time virtual dimensionality estimation for hyperspectral images.
J. Real Time Image Process., 2018

A suite of parallel algorithms for efficient band selection from hyperspectral images.
J. Real Time Image Process., 2018

Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices.
Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

2017
Development of a real-time heart rate estimation algorithm on a low-power device.
Proceedings of the 6th Mediterranean Conference on Embedded Computing, 2017


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