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 (EMBC, 2017)

Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections. - Enrico Reggiani; Eleonora D'Arnese; Andrea Purgato; Marco D. Santambrogio (IPDPS Workshops, 2017)

Automating Lung Cancer Identification in PET/CT Imaging. - Eleonora D'Arnese; Emanuele Del Sozzo; Arturo Chiti; Tanya Y. Berger-Wolf; Marco D. Santambrogio (RTSI, 2018)

Towards an Automatic Imaging Biopsy of Non-Small Cell Lung Cancer. - Eleonora D'Arnese; Guido Walter Di Donato; Emanuele Del Sozzo; Marco D. Santambrogio (BHI, 2019)

A faster approach to ECG analysis in emergency situations. - Marco Di Gennaro; Luigi Fusco; Ian Di Dio Lavore; Eleonora D'Arnese; Marco D. Santambrogio (EMBC, 2020)

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 (BHI, 2021)

Exploiting Heterogeneous Architectures for Rigid Image Registration. - Eleonora D'Arnese; Emanuele Del Sozzo; Davide Conficconi; Marco D. Santambrogio (BioCAS, 2021)

A Framework for Customizable FPGA-based Image Registration Accelerators. - Davide Conficconi; Eleonora D'Arnese; Emanuele Del Sozzo; Donatella Sciuto; Marco D. Santambrogio (FPGA, 2021)

An Automatic Active Contour Approach to Segment Retinal Blood Vessels. - Isabella Poles; Eleonora D'Arnese; Marco D. Santambrogio (RTSI, 2021)

FPGA '21 source code release. - Davide Conficconi; Eleonora D'Arnese; Emanuele Del Sozzo; Donatella Sciuto; Marco Domenico Santambrogio (Zenodo, 2021)

An Optimized U-Net for Unbalanced Multi-Organ Segmentation. - Raffaele Berzoini; Aurora A. Colombo; Susanna Bardini; Antonello Conelli; Eleonora D'Arnese; Marco D. Santambrogio (EMBC, 2022)

On How to Push Efficient Medical Semantic Segmentation to the Edge: the SENECA approach. - Raffaele Berzoini; Eleonora D'Arnese; Davide Conficconi (IPDPS Workshops, 2022)

Lung Cancer Identification via Deep Learning: A Multi-Stage Workflow. - Irene Canavesi; Eleonora D'Arnese; Sara Caramaschi; Marco D. Santambrogio (ISBI, 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)

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 (BHI, 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 (BHI, 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 (BioCAS, 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 (EMBC, 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 (EUROCON, 2023)

Stain Transfer using CycleGAN for Histopathological Images. - Lorenzo Veronese; Isabella Poles; Eleonora D'Arnese; Marco D. Santambrogio (EUROCON, 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)

On how to optimize medical image analysis: the Chimera Approach - Eleonora D'Arnese (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., 2023)

Repurposing the Image Generative Potential: Exploiting GANs to Grade Diabetic Retinopathy. - Isabella Poles; Eleonora D'Arnese; Luca G. Cellamare; Marco D. Santambrogio; Darvin Yi (CVPR Workshops, 2024)

A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation. - Isabella Poles; Eleonora D'Arnese; Mirko Coggi; Federica Buccino; Laura Vergani; Marco D. Santambrogio (EMBC, 2024)

Co-Designing a 3D Transformation Accelerator for Versal-Based Image Registration. - Paolo Salvatore Galfano; Giuseppe Sorrentino; Eleonora D'Arnese; Davide Conficconi (ICCD, 2024)

A Novel Approach to Unveil Hidden Stratification in Osteoporosis SR-MicroCT Image Classification. - Isabella Poles; Eleonora D'Arnese; Federica Buccino; Laura Vergani; Marco D. Santambrogio (ISBI, 2024)

A Physiological Variability Inspired Spatial Regularization for Joint Rigid-Deformable Abdominal MR Image Registration. - Isabella Poles; Eleonora D'Arnese; Darvin Yi; Marco D. Santambrogio (ISBI, 2024)

Letting Osteocytes Teach SR-MicroCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising. - Isabella Poles; Marco D. Santambrogio; Eleonora D'Arnese (MICCAI (9), 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, 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., 2024)

Soaring with TRILLI: An HW/SW Heterogeneous Accelerator for Multi-Modal Image Registration. - Giuseppe Sorrentino; Paolo Salvatore Galfano; Eleonora D'Arnese; Davide Conficconi (FCCM, 2025)

VOTED - Versal Optimization Toolkit for Education and Heterogeneous Systems Development. - Giuseppe Sorrentino; Paolo Salvatore Galfano; Eleonora D'Arnese; Davide Conficconi (ISCAS, 2025)