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ORCIDEleonora D'Arnese
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2020 – today
- 2024
[j5]Alberto Zeni
, Emanuele Del Sozzo, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio:
Starlight: A kernel optimizer for GPU processing. J. Parallel Distributed Comput. 187: 104832 (2024)- [j4]Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio:
NERONE: The Fast Way to Efficiently Execute Your Deep Learning Algorithm at the Edge. IEEE J. Biomed. Health Informatics 28(3): 1252-1260 (2024) - [c24]Isabella Poles, Eleonora D'Arnese, Luca G. Cellamare, Marco D. Santambrogio, Darvin Yi:
Repurposing the Image Generative Potential: Exploiting GANs to Grade Diabetic Retinopathy. CVPR Workshops 2024: 2305-2314 - [c23]Isabella Poles, Eleonora D'Arnese, Mirko Coggi, Federica Buccino, Laura Vergani, Marco D. Santambrogio:
A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation. EMBC 2024: 1-4 - [c22]Paolo Salvatore Galfano, Giuseppe Sorrentino, Eleonora D'Arnese, Davide Conficconi:
Co-Designing a 3D Transformation Accelerator for Versal-Based Image Registration. ICCD 2024: 219-222 - [c21]Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Vergani, Marco D. Santambrogio:
A Novel Approach to Unveil Hidden Stratification in Osteoporosis SR-MicroCT Image Classification. ISBI 2024: 1-5 - [c20]Isabella Poles, Eleonora D'Arnese, Darvin Yi, Marco D. Santambrogio:
A Physiological Variability Inspired Spatial Regularization for Joint Rigid-Deformable Abdominal MR Image Registration. ISBI 2024: 1-5 - [c19]Isabella Poles, Marco D. Santambrogio, Eleonora D'Arnese:
Letting Osteocytes Teach SR-MicroCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising. MICCAI (9) 2024: 383-393 - 2023
- [b1]Eleonora D'Arnese:
On how to optimize medical image analysis: the Chimera Approach. Polytechnic University of Milan, Italy, 2023 - [j3]Giuseppe Sorrentino, Marco Venere, Davide Conficconi, Eleonora D'Arnese, Marco Domenico Santambrogio:
Hephaestus: Codesigning and Automating 3D Image Registration on Reconfigurable Architectures. ACM Trans. Embed. Comput. Syst. 22(5s): 134:1-134:24 (2023) - [j2]Eleonora D'Arnese, Davide Conficconi, Emanuele Del Sozzo, Luigi Fusco, Donatella Sciuto, Marco Domenico Santambrogio:
Faber: A Hardware/SoftWare Toolchain for Image Registration. IEEE Trans. Parallel Distributed Syst. 34(1): 291-303 (2023) - [c18]Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Maria Vergani, Marco D. Santambrogio:
On How to Unravel Bone Microscale Phenomena: A Mask-Guided Attention SR-microCT Image Classification Approach. BHI 2023: 1-4 - [c17]Edoardo Stoppa, Guido Walter Di Donato, Isabella Poles, Eleonora D'Arnese, Natalie Parde, Marco Domenico Santambrogio:
A Graph Machine Learning approach to Automatic Dementia Detection. BHI 2023: 1-4 - [c16]Giuseppe Sorrentino, Marco Venere, Eleonora D'Arnese, Davide Conficconi, Isabella Poles, Marco D. Santambrogio:
ATHENA: a GPU-based Framework for Biomedical 3D Rigid Image Registration. BioCAS 2023: 1-5 - [c15]Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Maria Vergani, Marco D. Santambrogio:
Towards an Informed CNN for Bone SR-microCT Image Classification with an Unsupervised Patched-based Image Clustering. EMBC 2023: 1-4 - [c14]Lorenzo Veronese, Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio:
Stain Transfer using CycleGAN for Histopathological Images. EUROCON 2023: 1-5 - [c13]Luca Drole, Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio:
Towards a Lightweight 2D U-Net for Accurate Semantic Segmentation of Kidney Tumors in Abdominal CT Images. EUROCON 2023: 12-17 - 2022
- [j1]Eleonora D'Arnese, Guido Walter Di Donato, Emanuele Del Sozzo, Martina Sollini, Donatella Sciuto, Marco Domenico Santambrogio:
On the Automation of Radiomics-Based Identification and Characterization of NSCLC. IEEE J. Biomed. Health Informatics 26(6): 2670-2679 (2022) - [c12]Raffaele Berzoini, Aurora A. Colombo, Susanna Bardini, Antonello Conelli, Eleonora D'Arnese, Marco D. Santambrogio:
An Optimized U-Net for Unbalanced Multi-Organ Segmentation. EMBC 2022: 3764-3767 - [c11]Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi:
On How to Push Efficient Medical Semantic Segmentation to the Edge: the SENECA approach. IPDPS Workshops 2022: 104-111 - [c10]Irene Canavesi, Eleonora D'Arnese, Sara Caramaschi, Marco D. Santambrogio:
Lung Cancer Identification via Deep Learning: A Multi-Stage Workflow. ISBI 2022: 1-5 - 2021
- [c9]Armando Bellante, Letizia Bergamasco, Ana Bogdanovic, Noemi Gozzi, Lorenzo Gecchelin, Moaad Khamlich, Anisia Lauditi, Eleonora D'Arnese, Marco D. Santambrogio:
EMoCy: Towards Physiological Signals-Based Stress Detection. BHI 2021: 1-4 - [c8]Eleonora D'Arnese, Emanuele Del Sozzo, Davide Conficconi, Marco D. Santambrogio:
Exploiting Heterogeneous Architectures for Rigid Image Registration. BioCAS 2021: 1-5 - [c7]Davide Conficconi, Eleonora D'Arnese, Emanuele Del Sozzo, Donatella Sciuto, Marco D. Santambrogio:
A Framework for Customizable FPGA-based Image Registration Accelerators. FPGA 2021: 251-261 - [c6]Isabella Poles, Eleonora D'Arnese, Marco D. Santambrogio:
An Automatic Active Contour Approach to Segment Retinal Blood Vessels. RTSI 2021: 552-557 - [d1]Davide Conficconi, Eleonora D'Arnese, Emanuele Del Sozzo, Donatella Sciuto, Marco Domenico Santambrogio:
FPGA '21 source code release. Zenodo, 2021
- 2020
- [c5]Marco Di Gennaro, Luigi Fusco, Ian Di Dio Lavore, Eleonora D'Arnese, Marco D. Santambrogio:
A faster approach to ECG analysis in emergency situations. EMBC 2020: 312-315
2010 – 2019
- 2019
- [c4]Eleonora D'Arnese, Guido Walter Di Donato, Emanuele Del Sozzo, Marco D. Santambrogio:
Towards an Automatic Imaging Biopsy of Non-Small Cell Lung Cancer. BHI 2019: 1-4 - 2018
- [c3]Eleonora D'Arnese, Emanuele Del Sozzo, Arturo Chiti, Tanya Y. Berger-Wolf, Marco D. Santambrogio:
Automating Lung Cancer Identification in PET/CT Imaging. RTSI 2018: 1-6 - 2017
- [c2]Andrea Purgato, Enrico Reggiani, Eleonora D'Arnese, Tanya Y. Berger-Wolf, Marco Grimaldi, Gianluca Durelli, Marco D. Santambrogio:
GPU-based computation for brain spatio-temporal networks definition. EMBC 2017: 1493-1496 - [c1]Enrico Reggiani, Eleonora D'Arnese, Andrea Purgato, Marco D. Santambrogio:
Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections. IPDPS Workshops 2017: 223-228
Coauthor Index
aka: Marco Domenico Santambrogio
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