Development of a real-time heart rate estimation algorithm on a low-power device. - Pietro Canale; Alessandro Fontanella; Emanuele Torti; Giovanni Danese; Francesco Leporati (MECO, 2017)

Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices. - Emanuele Torti; Alessandro Fontanella; Mirto Musci; Nicola Blago; Danilo Pau; Francesco Leporati; Marco Piastra (DSD, 2018)

A suite of parallel algorithms for efficient band selection from hyperspectral images. - Alessandro Fontanella; Elisa Marenzi; Emanuele Torti; Giovanni Danese; Antonio Plaza; Francesco Leporati (J. Real Time Image Process., 2018)

Parallel real-time virtual dimensionality estimation for hyperspectral images. - Emanuele Torti; Alessandro Fontanella; Antonio Plaza (J. Real Time Image Process., 2018)

Acceleration of brain cancer detection algorithms during surgery procedures using GPUs. - Emanuele Torti; Alessandro Fontanella; Giordana Florimbi; Francesco Leporati; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó (Microprocess. Microsystems, 2018)

Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection. - Emanuele Torti; Alessandro Fontanella; Mirto Musci; Nicola Blago; Danilo Pau; Francesco Leporati; Marco Piastra (Microprocess. Microsystems, 2019)

Adaptive fault accommodation of pitch actuator stuck type of fault in floating offshore wind turbines: a subspace predictive repetitive control approach. - Yichao Liu; Joeri Frederik; Alessandro Fontanella; Riccardo M. G. Ferrari; Jan-Willem van Wingerden (ACC, 2020)

DR Detection Using Optical Coherence Tomography Angiography (OCTA): A Transfer Learning Approach with Robustness Analysis. - Rayna Andreeva; Alessandro Fontanella; Ylenia Giarratano; Miguel O. Bernabeu (OMIA@MICCAI, 2020)

A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA). - Ylenia Giarratano; Alisa Pavel; Jie Lian; Rayna Andreeva; Alessandro Fontanella; Rik Sarkar; Laura J. Reid; Shareen Forbes; Dan Pugh; Tariq E. Farrah; Neeraj Dhaun; Baljean Dhillon; et al. (OMIA@MICCAI, 2020)

Integration of 5G, VANETs and Blockchain Technology. - Muhammad Arif 009; Walter Balzano; Alessandro Fontanella; Silvia Stranieri; Guojun Wang 001; Xiaofei Xing (TrustCom, 2020)

Feedforward control for wave disturbance rejection on floating offshore wind turbines. - Mees Al; Alessandro Fontanella; Daan C. van der Hoek; Yichao Liu; Marco Belloli; Jan-Willem van Wingerden (CoRR, 2020)

Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model. - Yichao Liu; Alessandro Fontanella; Ping Wu 001; Riccardo M. G. Ferrari; Jan-Willem van Wingerden (CoRR, 2020)

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. - Alessandro Fontanella; Antreas Antoniou; Wenwen Li 003; Joanna M. Wardlaw; Grant Mair; Emanuele Trucco; Amos J. Storkey (ICML, 2023)

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images. - Alessandro Fontanella; Grant Mair; Joanna M. Wardlaw; Emanuele Trucco; Amos J. Storkey (CoRR, 2023)

Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT. - Alessandro Fontanella; Wenwen Li 003; Grant Mair; Antreas Antoniou; Eleanor Platt; Paul A. Armitage; Emanuele Trucco; Joanna M. Wardlaw; Amos J. Storkey (CoRR, 2023)

Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. - Benjamin Jin; Maria del C. Valdés Hernández; Alessandro Fontanella; Wenwen Li 003; Eleanor Platt; Paul A. Armitage; Amos J. Storkey; Joanna M. Wardlaw; Grant Mair (DEMI@MICCAI, 2024)

Generating compositional scenes via Text-to-image RGBA Instance Generation. - Alessandro Fontanella; Petru-Daniel Tudosiu; Yongxin Yang; Shifeng Zhang; Sarah Parisot (NeurIPS, 2024)