Eleonora D'Arnese

According to our database, Eleonora D'Arnese authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Starlight: A kernel optimizer for GPU processing.

Alberto Zeni, Emanuele Del Sozzo, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio

J. Parallel Distributed Comput., May, 2024

NERONE: The Fast Way to Efficiently Execute Your Deep Learning Algorithm at the Edge.

Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio

IEEE J. Biomed. Health Informatics, March, 2024

2023

Hephaestus: Codesigning and Automating 3D Image Registration on Reconfigurable Architectures.

Giuseppe Sorrentino, Marco Venere, Davide Conficconi, Eleonora D'Arnese, Marco Domenico Santambrogio

ACM Trans. Embed. Comput. Syst., October, 2023

On how to optimize medical image analysis: the Chimera Approach

Eleonora D'Arnese

PhD thesis, 2023

Faber: A Hardware/SoftWare Toolchain for Image Registration.

Eleonora D'Arnese, Davide Conficconi, Emanuele Del Sozzo, Luigi Fusco, Donatella Sciuto, Marco Domenico Santambrogio

IEEE Trans. Parallel Distributed Syst., 2023

Stain Transfer using CycleGAN for Histopathological Images.

Lorenzo Veronese, Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio

Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

Towards a Lightweight 2D U-Net for Accurate Semantic Segmentation of Kidney Tumors in Abdominal CT Images.

Luca Drole, Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio

Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

Towards an Informed CNN for Bone SR-microCT Image Classification with an Unsupervised Patched-based Image Clustering.

Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Maria Vergani, Marco D. Santambrogio

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

ATHENA: a GPU-based Framework for Biomedical 3D Rigid Image Registration.

Giuseppe Sorrentino, Marco Venere, Eleonora D'Arnese, Davide Conficconi, Isabella Poles, Marco D. Santambrogio

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

A Graph Machine Learning approach to Automatic Dementia Detection.

Edoardo Stoppa, Guido Walter Di Donato, Isabella Poles, Eleonora D'Arnese, Natalie Parde, Marco Domenico Santambrogio

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

On How to Unravel Bone Microscale Phenomena: A Mask-Guided Attention SR-microCT Image Classification Approach.

Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Maria Vergani, Marco D. Santambrogio

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

On the Automation of Radiomics-Based Identification and Characterization of NSCLC.

Eleonora D'Arnese, Guido Walter Di Donato, Emanuele Del Sozzo, Martina Sollini, Donatella Sciuto, Marco Domenico Santambrogio

IEEE J. Biomed. Health Informatics, 2022

Lung Cancer Identification via Deep Learning: A Multi-Stage Workflow.

Irene Canavesi, Eleonora D'Arnese, Sara Caramaschi, Marco D. Santambrogio

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

On How to Push Efficient Medical Semantic Segmentation to the Edge: the SENECA approach.

Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

An Optimized U-Net for Unbalanced Multi-Organ Segmentation.

Raffaele Berzoini, Aurora A. Colombo, Susanna Bardini, Antonello Conelli, Eleonora D'Arnese, Marco D. Santambrogio

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

FPGA '21 source code release.

Davide Conficconi, Eleonora D'Arnese, Emanuele Del Sozzo, Donatella Sciuto, Marco Domenico Santambrogio

Dataset, January, 2021

An Automatic Active Contour Approach to Segment Retinal Blood Vessels.

Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio

Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

A Framework for Customizable FPGA-based Image Registration Accelerators.

Davide Conficconi, Eleonora D'Arnese, Emanuele Del Sozzo, Donatella Sciuto, Marco D. Santambrogio

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

Exploiting Heterogeneous Architectures for Rigid Image Registration.

Eleonora D'Arnese, Emanuele Del Sozzo, Davide Conficconi, Marco D. Santambrogio

Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

EMoCy: Towards Physiological Signals-Based Stress Detection.

Armando Bellante, Letizia Bergamasco, Ana Bogdanovic, Noemi Gozzi, Lorenzo Gecchelin, Moaad Khamlich, Anisia Lauditi, Eleonora D'Arnese, Marco D. Santambrogio

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

A faster approach to ECG analysis in emergency situations.

Marco Di Gennaro, Luigi Fusco, Ian Di Dio Lavore, Eleonora D'Arnese, Marco D. Santambrogio

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Towards an Automatic Imaging Biopsy of Non-Small Cell Lung Cancer.

Eleonora D'Arnese, Guido Walter Di Donato, Emanuele Del Sozzo, Marco D. Santambrogio

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Automating Lung Cancer Identification in PET/CT Imaging.

Eleonora D'Arnese, Emanuele Del Sozzo, Arturo Chiti, Tanya Y. Berger-Wolf, Marco D. Santambrogio

Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

2017

Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections.

Enrico Reggiani, Eleonora D'Arnese, Andrea Purgato, Marco D. Santambrogio

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

GPU-based computation for brain spatio-temporal networks definition.

Andrea Purgato, Enrico Reggiani, Eleonora D'Arnese, Tanya Y. Berger-Wolf, Marco Grimaldi, Gianluca Durelli, Marco D. Santambrogio

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017