Eleonora D'Arnese

32 papers A 1C 2Misc 1Journal 5Unranked 22
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Soaring with TRILLI: An HW/SW Heterogeneous Accelerator for Multi-Modal Image Registration.
FCCM
Giuseppe Sorrentino, Paolo Salvatore Galfano, Eleonora D'Arnese, Davide Conficconi
2025 C conf
VOTED - Versal Optimization Toolkit for Education and Heterogeneous Systems Development.
ISCAS
Giuseppe Sorrentino, Paolo Salvatore Galfano, Eleonora D'Arnese, Davide Conficconi
2024 — conf
A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation.
EMBC
Isabella Poles, Eleonora D'Arnese, Mirko Coggi, Federica Buccino, Laura Vergani, Marco D. Santambrogio
2024 — conf
A Novel Approach to Unveil Hidden Stratification in Osteoporosis SR-MicroCT Image Classification.
ISBI
Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Vergani, Marco D. Santambrogio
2024 — conf
A Physiological Variability Inspired Spatial Regularization for Joint Rigid-Deformable Abdominal MR Image Registration.
ISBI
Isabella Poles, Eleonora D'Arnese, Darvin Yi, Marco D. Santambrogio
2024 C conf
Co-Designing a 3D Transformation Accelerator for Versal-Based Image Registration.
ICCD
Paolo Salvatore Galfano, Giuseppe Sorrentino, Eleonora D'Arnese, Davide Conficconi
2024 — conf
Letting Osteocytes Teach SR-MicroCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising.
MICCAI (9)
Isabella Poles, Marco D. Santambrogio, Eleonora D'Arnese
2024 J jnl
NERONE: The Fast Way to Efficiently Execute Your Deep Learning Algorithm at the Edge.
IEEE J. Biomed. Health Informatics
Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio
2024 — conf
Repurposing the Image Generative Potential: Exploiting GANs to Grade Diabetic Retinopathy.
CVPR Workshops
Isabella Poles, Eleonora D'Arnese, Luca G. Cellamare, Marco D. Santambrogio, Darvin Yi
2024 J jnl
Starlight: A kernel optimizer for GPU processing.
J. Parallel Distributed Comput.
Alberto Zeni, Emanuele Del Sozzo, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio
2023 — conf
A Graph Machine Learning approach to Automatic Dementia Detection.
BHI
Edoardo Stoppa, Guido Walter Di Donato, Isabella Poles, Eleonora D'Arnese, Natalie Parde, Marco Domenico Santambrogio
2023 — conf
ATHENA: a GPU-based Framework for Biomedical 3D Rigid Image Registration.
BioCAS
Giuseppe Sorrentino, Marco Venere, Eleonora D'Arnese, Davide Conficconi, Isabella Poles, Marco D. Santambrogio
2023 J jnl
Faber: A Hardware/SoftWare Toolchain for Image Registration.
IEEE Trans. Parallel Distributed Syst.
Eleonora D'Arnese, Davide Conficconi, Emanuele Del Sozzo, Luigi Fusco, Donatella Sciuto, Marco Domenico Santambrogio
2023 J jnl
Hephaestus: Codesigning and Automating 3D Image Registration on Reconfigurable Architectures.
ACM Trans. Embed. Comput. Syst.
Giuseppe Sorrentino, Marco Venere, Davide Conficconi, Eleonora D'Arnese, Marco Domenico Santambrogio
2023 — conf
On How to Unravel Bone Microscale Phenomena: A Mask-Guided Attention SR-microCT Image Classification Approach.
BHI
Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Maria Vergani, Marco D. Santambrogio
2023 — —
On how to optimize medical image analysis: the Chimera Approach
Eleonora D'Arnese
2023 — conf
Stain Transfer using CycleGAN for Histopathological Images.
EUROCON
Lorenzo Veronese, Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio
2023 — conf
Towards a Lightweight 2D U-Net for Accurate Semantic Segmentation of Kidney Tumors in Abdominal CT Images.
EUROCON
Luca Drole, Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio
2023 — conf
Towards an Informed CNN for Bone SR-microCT Image Classification with an Unsupervised Patched-based Image Clustering.
EMBC
Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Maria Vergani, Marco D. Santambrogio
2022 — conf
An Optimized U-Net for Unbalanced Multi-Organ Segmentation.
EMBC
Raffaele Berzoini, Aurora A. Colombo, Susanna Bardini, Antonello Conelli, Eleonora D'Arnese, Marco D. Santambrogio
2022 — conf
Lung Cancer Identification via Deep Learning: A Multi-Stage Workflow.
ISBI
Irene Canavesi, Eleonora D'Arnese, Sara Caramaschi, Marco D. Santambrogio
2022 — conf
On How to Push Efficient Medical Semantic Segmentation to the Edge: the SENECA approach.
IPDPS Workshops
Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi
2022 J jnl
On the Automation of Radiomics-Based Identification and Characterization of NSCLC.
IEEE J. Biomed. Health Informatics
Eleonora D'Arnese, Guido Walter Di Donato, Emanuele Del Sozzo, Martina Sollini, Donatella Sciuto, Marco Domenico Santambrogio
2021 A conf
A Framework for Customizable FPGA-based Image Registration Accelerators.
FPGA
Davide Conficconi, Eleonora D'Arnese, Emanuele Del Sozzo, Donatella Sciuto, Marco D. Santambrogio
2021 — conf
An Automatic Active Contour Approach to Segment Retinal Blood Vessels.
RTSI
Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio
2021 — conf
EMoCy: Towards Physiological Signals-Based Stress Detection.
BHI
Armando Bellante, Letizia Bergamasco, Ana Bogdanovic, Noemi Gozzi, Lorenzo Gecchelin, Moaad Khamlich, Anisia Lauditi, Eleonora D'Arnese, Marco D. Santambrogio
2021 — conf
Exploiting Heterogeneous Architectures for Rigid Image Registration.
BioCAS
Eleonora D'Arnese, Emanuele Del Sozzo, Davide Conficconi, Marco D. Santambrogio
2020 — conf
A faster approach to ECG analysis in emergency situations.
EMBC
Marco Di Gennaro, Luigi Fusco, Ian Di Dio Lavore, Eleonora D'Arnese, Marco D. Santambrogio
2019 — conf
Towards an Automatic Imaging Biopsy of Non-Small Cell Lung Cancer.
BHI
Eleonora D'Arnese, Guido Walter Di Donato, Emanuele Del Sozzo, Marco D. Santambrogio
2018 — conf
Automating Lung Cancer Identification in PET/CT Imaging.
RTSI
Eleonora D'Arnese, Emanuele Del Sozzo, Arturo Chiti, Tanya Y. Berger-Wolf, Marco D. Santambrogio
2017 — conf
GPU-based computation for brain spatio-temporal networks definition.
EMBC
Andrea Purgato, Enrico Reggiani, Eleonora D'Arnese, Tanya Y. Berger-Wolf, Marco Grimaldi, Gianluca Durelli, Marco D. Santambrogio
2017 — conf
Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections.
IPDPS Workshops
Enrico Reggiani, Eleonora D'Arnese, Andrea Purgato, Marco D. Santambrogio