A ranking-based cascade approach for unbalanced data. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICPR, 2012)

Stitching terabyte-sized 3D images acquired in Confocal Ultramicroscopy. - Alessandro Bria; Ludovico Silvestri; Leonardo Sacconi; Francesco Pavone; Giulio Iannello (ISBI, 2012)

Detecting Clusters of Microcalcifications with a Cascade-Based Approach. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2012)

TeraStitcher - A Tool for Fast Automatic 3D-Stitching of Teravoxel-Sized Microscopy Images. - Alessandro Bria; Giulio Iannello (BMC Bioinform., 2012)

Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (AIME, 2013)

A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. - Alessandro Bria; Giulio Iannello; Paolo Soda; Hanchuan Peng; Giovanni Erbacci; Giuseppe Fiameni; Giacomo Mariani; Roberto Mucci; Marco Rorro; Francesco Pavone; Ludovico Silvestri; Paolo Frasconi; et al. (HPCS, 2014)

Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. - Alessandro Bria; Nico Karssemeijer; Francesco Tortorella (Medical Image Anal., 2014)

An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images. - Alessandro Bria; Giulio Iannello; Hanchuan Peng (ISBI, 2015)

Deep Cascade Classifiers to Detect Clusters of Microcalcifications. - Alessandro Bria; Claudio Marrocco; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. - Alessandro Bria; Claudio Marrocco; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks. - Jan-Jurre Mordang; Tim Janssen; Alessandro Bria; Thijs Kooi; Albert Gubern-Mérida; Nico Karssemeijer (Digital Mammography / IWDM, 2016)

An effective learning strategy for cascaded object detection. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (Inf. Sci., 2016)

The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. - Agnese Marchesi; Alessandro Bria; Claudio Marrocco; Mario Molinara; Jan-Jurre Mordang; Francesco Tortorella; Nico Karssemeijer (CBMS, 2017)

Illumination Correction by Dehazing for Retinal Vessel Segmentation. - Benedetta Savelli; Alessandro Bria; Adrian Galdran; Claudio Marrocco; Mario Molinara; Aurélio J. C. Campilho; Francesco Tortorella (CBMS, 2017)

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. - Alessandro Bria; Claudio Marrocco; Adrian Galdran; Aurélio Campilho; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. - Benedetta Savelli; Agnese Marchesi; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

On the Duality Between Retinex and Image Dehazing. - Adrian Galdran; Aitor Alvarez-Gila; Alessandro Bria; Javier Vazquez-Corral; Marcelo Bertalmío (CVPR, 2018)

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Benedetta Savelli; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

Mammogram denoising to improve the calcification detection performance of convolutional nets. - Claudio Marrocco; Alessandro Bria; Valerio Di Sano; Lucas R. Borges; Benedetta Savelli; Mario Molinara; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

A deep learning framework for micro-calcification detection in 2D mammography and C-view. - Giovanni Trovini; Christian Napoli 001; Robert Marti; Amaya Martin; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Oliver Díaz (IWBI, 2018)

A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. - Adrian Galdran; Pedro Costa 005; Alessandro Bria; Teresa Araújo; Ana Maria Mendonça; Aurélio Campilho (MICCAI (1), 2018)

Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. - Alessandro Bria; Claudio Marrocco; Lucas R. Borges; Mario Molinara; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IEEE Trans. Medical Imaging, 2018)

Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. - Benedetta Savelli; Claudio Marrocco; Alessandro Bria; Mario Molinara; Francesco Tortorella (CAIP Workshops, 2019)

A Novel Smart System for Contaminants Detection and Recognition in Water. - Marco Ferdinandi; Mario Molinara; Gianni Cerro; Luigi Ferrigno; Claudio Marrocco; Alessandro Bria; Pino Di Meo; Carmine Bourelly; Roberto Simmarano (SMARTCOMP, 2019)

Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images. - Alessandro Bria; Massimo Bernaschi; Massimiliano Guarrasi; Giulio Iannello (Frontiers Neuroinformatics, 2019)

Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification. - Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICPR Workshops (1), 2020)

A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. - Carmine Bourelly; Alessandro Bria; Luigi Ferrigno; Luca Gerevini; Claudio Marrocco; Mario Molinara; Gianni Cerro; Mattia Cicalini; Andrea Ria (SMARTCOMP, 2020)

A multi-context CNN ensemble for small lesion detection. - Benedetta Savelli; Alessandro Bria; Mario Molinara; Claudio Marrocco; Francesco Tortorella (Artif. Intell. Medicine, 2020)

Addressing class imbalance in deep learning for small lesion detection on medical images. - Alessandro Bria; Claudio Marrocco; Francesco Tortorella (Comput. Biol. Medicine, 2020)

An IoT-ready solution for automated recognition of water contaminants. - Alessandro Bria; Gianni Cerro; Marco Ferdinandi; Claudio Marrocco; Mario Molinara (Pattern Recognit. Lett., 2020)

Task-motion Planning via Tree-based Q-learning Approach for Robotic Object Displacement in Cluttered Spaces. - Giacomo Golluccio; Daniele Di Vito; Alessandro Marino; Alessandro Bria; Gianluca Antonelli (ICINCO, 2021)

A False Positive Reduction System For Continuous Water Quality Monitoring. - Alessandro Bria; Luigi Ferrigno; Luca Gerevini; Claudio Marrocco; Mario Molinara; Paolo Bruschi; Mattia Cicalini; Giuseppe Manfredini; Andrea Ria; Gianni Cerro; Roberto Simmarano; Giovanni Teolis; et al. (SMARTCOMP, 2021)

Artificial intelligence for distributed smart systems. - Mario Molinara; Alessandro Bria; Saverio De Vito; Claudio Marrocco (Pattern Recognit. Lett., 2021)

Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. - Marya Ryspayeva; Mario Molinara; Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICPR Workshops (1), 2022)

Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images. - Marawan Elbatel; Christina Bornberg; Manasi Kattel; Enrique Almar; Claudio Marrocco; Alessandro Bria (DART@MICCAI, 2022)

An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform. - Alessandro Bria; Luigi Ferrigno; Claudio Marrocco; Mario Molinara; Michele Vitelli; Andrea Ria; Mattia Cicalini; Giuseppe Manfredini; Paolo Bruschi (SMARTCOMP, 2022)

A Novel Evolutionary Approach for Neural Architecture Search. - Alessandro Bria; Paolo De Ciccio; Tiziana D'Alessandro; Francesco Fontanella (WIVACE, 2022)

Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers. - Domenico Paolo; Alessandro Bria; Carlo Greco; Marco Russano; Sara Ramella; Paolo Soda; Rosa Sicilia (BIBM, 2023)

Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. - Ruth Kehali Kassahun; Mario Molinara; Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICIAP Workshops (2), 2023)

End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network. - Cesare Davide Pace; Alessandro Bria; Mariano Focareta; Gabriele Lozupone; Claudio Marrocco; Giuseppe Meoli; Mario Molinara (ICIAP (1), 2023)

Gravity Network for end-to-end small lesion detection. - Ciro Russo; Alessandro Bria; Claudio Marrocco (CoRR, 2023)

An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform. - Luca Gerevini; Gianni Cerro; Alessandro Bria; Claudio Marrocco; Luigi Ferrigno; Michele Vitelli; Andrea Ria; Mario Molinara (J. King Saud Univ. Comput. Inf. Sci., 2023)

Editorial: AI applications for diagnosis of breast cancer. - L. J. Muhammad; Alessandro Bria (Frontiers Artif. Intell., 2023)

Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. - Marco Cantone; Claudio Marrocco; Francesco Tortorella; Alessandro Bria (Sensors, 2023)

Transformer-based mass detection in digital mammograms. - Amparo S. Betancourt Tarifa; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Alessandro Bria (J. Ambient Intell. Humaniz. Comput., 2023)

Learnable DoG convolutional filters for microcalcification detection. - Marco Cantone; Claudio Marrocco; Francesco Tortorella; Alessandro Bria (Artif. Intell. Medicine, 2023)

Transformer Models for Enhanced Calcifications Detection in Mammography. - Marco Cantone; Claudio Marrocco; Francesco Tortorella; Alessandro Bria (ICPR (13), 2024)

Pathologic Complete Response Prediction with Machine Learning Using Hierarchical Attention Feature Extraction. - Domenico Paolo; Ciro Russo; Giulio Russo; Carlo Greco; Alessio Cortellini; Marco Russano; Sara Ramella; Paolo Soda; Claudio Marrocco; Alessandro Bria; Rosa Sicilia (ICPR (Workshops and Challenges, 2), 2024)

A Pixel-Based Anchor Approach for Nuclei Detection in Cervical Cytology Imaging. - Ciro Russo; Yusuf B. Tanriverdi; Alessandro Bria; Claudio Marrocco (ICPR (Workshops and Challenges, 2), 2024)

Towards AI-driven Next Generation Personalized Healthcare and Well-being. - Fatih Aksu; Alessandro Bria; Alice Natalina Caragliano; Camillo Maria Caruso; Wenting Chen; Ermanno Cordelli; Omar Coser; Arianna Francesconi; Leonardo Furia; Valerio Guarrasi; Giulio Iannello; Clemente Lauretti; et al. (Ital-IA, 2024)

UniCas for Medicine and Healthcare. - Marco Cantone; Svonko Galasso; Gabriele Lozupone; Emanuele Nardone; Cesare Davide Pace; Ciro Russo; Alessandro Bria; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; et al. (Ital-IA, 2024)

UniCas for Industry. - Alessio Miele; Hamza Mustafa; Michele Vitelli; Alessandro Bria; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Ital-IA, 2024)

Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports. - Domenico Paolo; Alessandro Bria; Carlo Greco; Marco Russano; Sara Ramella; Paolo Soda; Rosa Sicilia (pHealth, 2024)

Machine Learning in Network Intrusion Detection: A Cross-Dataset Generalization Study. - Marco Cantone; Claudio Marrocco; Alessandro Bria (IEEE Access, 2024)

Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. - Claudio Marrocco; Alessandro Bria; Francesco Tortorella; Sara Parrilli; Luca Cicala; Mariano Focareta; Giuseppe Meoli; Mario Molinara (IEEE Access, 2024)

GravityNet for end-to-end small lesion detection. - Ciro Russo; Alessandro Bria; Claudio Marrocco (Artif. Intell. Medicine, 2024)

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection. - Marco Cantone; Claudio Marrocco; Alessandro Bria (CoRR, 2024)

AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans. - Gabriele Lozupone; Alessandro Bria; Francesco Fontanella; Claudio De Stefano (CoRR, 2024)

Transfer learning in breast mass detection and classification. - Marya Ryspayeva; Alessandro Bria; Claudio Marrocco; Francesco Tortorella; Mario Molinara (J. Ambient Intell. Humaniz. Comput., 2024)

A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment. - Ciro Russo; Giulio Russo; Arnau Oliver; Xavier Lladó; Mikel Terceño; Yolanda Silva; Alessandro Bria; Claudio Marrocco (CBMS, 2025)

Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging. - Gabriele Lozupone; Alessandro Bria; Francesco Fontanella; Frederick J. A. Meijer; Claudio De Stefano; Henkjan Huisman (CoRR, 2025)

Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs. - Domenico Paolo; Carlo Greco; Alessio Cortellini; Sara Ramella; Paolo Soda; Alessandro Bria; Rosa Sicilia (BMC Medical Informatics Decis. Mak., 2025)