Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs. - A. Barberis; Giovanni Danese; Francesco Leporati; Antonio Plaza; Emanuele Torti (IEEE Geosci. Remote. Sens. Lett., 2013)

Real-Time Identification of Hyperspectral Subspaces. - Emanuele Torti; Marco Acquistapace; Giovanni Danese; Francesco Leporati; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

The Human Brain Project: High Performance Computing for Brain Cells Hw/Sw Simulation and Understanding. - Egidio D'Angelo; Giovanni Danese; Giordana Florimbi; Francesco Leporati; Alessandra Majani; Stefano Masoli; Sergio M. G. Solinas; Emanuele Torti (DSD, 2015)

The Human Brain Project: Parallel technologies for biologically accurate simulation of Granule cells. - Giordana Florimbi; Emanuele Torti; Stefano Masoli; Egidio D'Angelo; Giovanni Danese; Francesco Leporati (Microprocess. Microsystems, 2016)

A Hybrid CPU-GPU Real-Time Hyperspectral Unmixing Chain. - Emanuele Torti; Giovanni Danese; Francesco Leporati; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

The HELICoiD Project: Parallel SVM for Brain Cancer Classification. - Emanuele Torti; Camilla Cividini; Alessandro Gatti; Giovanni Danese; Francesco Leporati; Himar Fabelo; Samuel Ortega; Gustavo Marrero Callicó (DSD, 2017)

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)

High Performant Simulations of Cerebellar Golgi Cells Activity. - Giordana Florimbi; Emanuele Torti; Giovanni Danese; Francesco Leporati (PDP, 2017)

Custom FPGA processing for real-time fetal ECG extraction and identification. - Emanuele Torti; D. Koliopoulos; M. Matraxia; Giovanni Danese; Francesco Leporati (Comput. Biol. Medicine, 2017)

Block matching super-resolution parallel GPU implementation for computational imaging. - Elisa Marenzi; Emanuele Torti; Francesco Leporati; Eduardo Quevedo; Gustavo M. Callicó (IEEE Trans. Consumer Electron., 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)

Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. - Giordana Florimbi; Himar Fabelo; Emanuele Torti; Raquel Lazcano; Daniel Madroñal; Samuel Ortega; Rubén Salvador; Francesco Leporati; Giovanni Danese; Abelardo Báez-Quevedo; Gustavo M. Callicó; Eduardo Juárez 001; et al. (Sensors, 2018)

Automatic and Unsupervised Identification of Specific Biochemical Features from Raman Mapping Data. - Emanuele Torti; Beatrice Marcinnò; Renzo Vanna; Carlo Morasso; Francesca Picotti; Laura Villani; Francesco Leporati (DSD, 2019)

GPU Parallelization of Realistic Purkinje Cells with Complex Morphology. - Emanuele Torti; Stefano Masoli; Giordana Florimbi; Egidio D'Angelo; Marta Ticli; Francesco Leporati (PDP, 2019)

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. - Raquel Lazcano; Daniel Madroñal; Giordana Florimbi; Jaime Sancho; Sergio Sánchez Ramírez; Raquel León; Himar Fabelo; Samuel Ortega; Emanuele Torti; Rubén Salvador; Margarita Marrero-Martin; Francesco Leporati; et al. (IEEE Access, 2019)

Exploiting multi-core and many-core architectures for efficient simulation of biologically realistic models of Golgi cells. - Giordana Florimbi; Emanuele Torti; Stefano Masoli; Egidio D'Angelo; Giovanni Danese; Francesco Leporati (J. Parallel Distributed Comput., 2019)

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)

Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations. - Emanuele Torti; Mirto Musci; Federico Guareschi; Francesco Leporati; Marco Piastra (Sci. Program., 2019)

An Hardware Recurrent Neural Network for Wearable Devices. - Emanuele Torti; Cristina D'Amato; Giovanni Danese; Francesco Leporati (DSD, 2020)

Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms. - Giordana Florimbi; Himar Fabelo; Emanuele Torti; Samuel Ortega; Margarita Marrero-Martin; Gustavo M. Callicó; Giovanni Danese; Francesco Leporati (IEEE Access, 2020)

Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification. - Marco La Salvia; Gianmarco Secco; Emanuele Torti; Giordana Florimbi; Luca Guido; Paolo Lago; Francesco Salinaro; Stefano Perlini; Francesco Leporati (Comput. Biol. Medicine, 2021)

Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer. - Giordana Florimbi; Emanuele Torti; Stefano Masoli; Egidio D'Angelo; Francesco Leporati (Frontiers Comput. Neurosci., 2021)

A low power and real-time hardware recurrent neural network for time series analysis on wearable devices. - Emanuele Torti; Cristina D'Amato; Giovanni Danese; Francesco Leporati (Microprocess. Microsystems, 2021)

Attention-based Skin Cancer Classification Through Hyperspectral Imaging. - Marco La Salvia; Emanuele Torti; Marco Gazzoni; Elisa Marenzi; Raquel León; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó; Francesco Leporati (DSD, 2022)

FPGA High Level Synthesis for the classification of skin tumors with hyperspectral images. - Elisa Marenzi; Emanuele Torti; Giovanni Danese; Francesco Leporati (MECO, 2022)

Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis. - Beatriz Martínez-Vega; Mariia Tkachenko; Marianne Matkabi; Samuel Ortega; Himar Fabelo; Francisco Balea-Fernández; Marco La Salvia; Emanuele Torti; Francesco Leporati; Gustavo M. Callicó; Claire Chalopin (Sensors, 2022)

Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images. - Marco La Salvia; Emanuele Torti; Raquel León; Himar Fabelo; Samuel Ortega; Francisco Balea-Fernández; Beatriz Martínez-Vega; Irene Castaño; Pablo Almeida; Gregorio Carretero; Javier A. Hernández; Gustavo M. Callicó; et al. (Sensors, 2022)

Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application. - Marco La Salvia; Emanuele Torti; Raquel León; Himar Fabelo; Samuel Ortega; Beatriz Martínez-Vega; Gustavo M. Callicó; Francesco Leporati (Sensors, 2022)

Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device. - Domenico Ragusa; Antonio J. Rodríguez-Almeida; Stephan Nolting; Emanuele Torti; Himar Fabelo; Ingo Hoyer; Alexander Utz; Gustavo M. Callicó; Francesco Leporati (DSD, 2023)

An Attention-Based Parallel Algorithm for Hyperspectral Skin Cancer Classification on Low-Power GPUs. - Emanuele Torti; Marco Gazzoni; Elisa Marenzi; Raquel León; Gustavo Marrero Callicó; Giovanni Danese; Francesco Leporati (DSD, 2023)

Machine Learning-Based Classification of Skin Cancer Hyperspectral Images. - Bernardo Petracchi; Marco Gazzoni; Emanuele Torti; Elisa Marenzi; Francesco Leporati (KES, 2023)

Spatial-Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization. - Emanuele Torti; Elisa Marenzi; Giovanni Danese; Antonio J. Plaza; Francesco Leporati (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

3D Decision Support Tool for Brain Tumour Surgery: The STRATUM Project. - Himar Fabelo; Raquel León; Emanuele Torti; Santiago Marco; Max Verbers; Yann Falevoz; Yolanda Ramallo-Fariña; Christian Weis; Ana M. Wägner; Eduardo Juárez Martínez; Claudio Rial; Alfonso Lagares; et al. (DSD, 2024)

HS2RGB: an Encoder Approach to Transform Hyper-Spectral Images to Enriched RGB Images. - Marco Gazzoni; Emanuele Torti; Elisa Marenzi; Giovanni Danese; Francesco Leporati (DSD, 2024)

FPGA Design of Digital Circuits for Phonocardiogram Pre-Processing Enabling Real-Time and Low-Power AI Processing. - Domenico Ragusa; Antonio J. Rodríguez-Almeida; Marco Gazzoni; Emanuele Torti; Elisa Marenzi; Himar Fabelo; Gustavo M. Callicó; Francesco Leporati (DSD, 2024)

Acceleration of Hyperspectral Skin Cancer Image Classification through Parallel Machine-Learning Methods. - Bernardo Petracchi; Emanuele Torti; Elisa Marenzi; Francesco Leporati (Sensors, 2024)

GPU-based key-frame selection of pulmonary ultrasound images to detect COVID-19. - Emanuele Torti; Marco Gazzoni; Elisa Marenzi; Francesco Leporati (J. Real Time Image Process., 2024)

Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging. - Marco La Salvia; Emanuele Torti; Elisa Marenzi; Giovanni Danese; Francesco Leporati (J. Supercomput., 2024)

Segmentation of Intraoperative Glioblastoma Hyperspectral Images Using Self-Supervised U-Net++. - Marco Gazzoni; Marco La Salvia; Emanuele Torti; Elisa Marenzi; Raquel León; Samuel Ortega; Beatriz Martínez 002; Himar Fabelo; Gustavo M. Callicó; Francesco Leporati (VISIGRAPP (3): VISAPP, 2025)

Vision Transformer for Brain Tumor Detection Using Hyperspectral Images With Reduced Spectral Bands. - Domenico Ragusa; Marco Gazzoni; Emanuele Torti; Elisa Marenzi; Francesco Leporati (IEEE Access, 2025)