Alessandro Bria

73 papers A* 1B 9C 1Journal 30Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning for DBT classification with saliency-guided 2D synthesis. Pattern Recognit. Marco Cantone, Ciro Russo, Federico V. L. Dell'Ascenza, Claudio Marrocco, Alessandro Bria
2026	J	`jnl`	Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer. CoRR Filippo Ruffini, Camillo Maria Caruso, Claudia Tacconi, Lorenzo Nibid, Francesca Miccolis, Marta Lovino, Carlo Greco, Edy Ippolito, Michele Fiore, Alessio Cortellini, Bruno Beomonte Zobel, Giuseppe Perrone, Bruno Vincenzi, Claudio Marrocco, Alessandro Bria, Elisa Ficarra, Sara Ramella, Valerio Guarrasi, Paolo Soda
2026	J	`jnl`	Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease. Medical Image Anal. Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Frederick J. A. Meijer, Claudio De Stefano, Henkjan Huisman
2026	J	`jnl`	Predicting lung cancer survival with attention-based CT slices combination. Health Inf. Sci. Syst. Domenico Paolo, Carlo Greco, Edy Ippolito, Michele Fiore, Sara Ramella, Paolo Soda, Matteo Tortora, Alessandro Bria, Rosa Sicilia
2026	J	`jnl`	Window self-attention and 3D volumetric refinement for large vessel occlusion detection in brain angiography. Pattern Recognit. Lett. Ciro Russo, Giulio Russo, Arnau Oliver, Xavier Lladó, Mikel Terceño, Yolanda Silva, Alessandro Bria, Claudio Marrocco
2025	B	`conf`	A Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment. CBMS Ciro Russo, Giulio Russo, Arnau Oliver, Xavier Lladó, Mikel Terceño, Yolanda Silva, Alessandro Bria, Claudio Marrocco
2025	—	`conf`	AI for environmental, energy, and IoT applications: UniCas industrial research highlights. Ital-IA Mario Molinara, Alessandro Bria, Domenico Capriglione, Tiziana D'Alessandro, Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Fabrizio Marignetti, Claudio Marrocco, Alessio Miele, Filippo Milano, Hamza Mustafa, Vincenzo Rega, Alessandra Scotto di Freca, Luca Cicala, Sara Parrilli, Mariano Focareta, Giuseppe Meoli, Michele Vitelli, Carmine Bourelly, Andrea Amodei
2025	J	`jnl`	Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs. BMC Medical Informatics Decis. Mak. Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia
2025	J	`jnl`	Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging. CoRR Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Frederick J. A. Meijer, Claudio De Stefano, Henkjan Huisman
2025	—	`conf`	Next-gen health: from multimodal AI to foundation models. Ital-IA Rosa Sicilia, Fatih Aksu, Alessandro Bria, Alice Natalina Caragliano, Camillo Maria Caruso, Ermanno Cordelli, Arianna Francesconi, Valerio Guarrasi, Giulio Iannello, Guido Manni, Massimiliano Mantegna, Giustino Marino, Daniele Molino, Elena Mulero Ayllon, Filippo Ruffini, Linlin Shen, Matteo Tortora, Paolo Soda
2025	—	`conf`	State-of-Health Estimation for Lithium-Ion Batteries Using Lightweight Features from the Constant Current Charging Phase. MIWAI (3) Giada Pietrocola, Francesco Porpora, Mario Molinara, Luca Gerevini, Michele Vitelli, Claudio Marrocco, Alessandro Bria
2025	—	`conf`	UniCas research initiatives in medicine and healthcare. Ital-IA Gabriele Lozupone, Marco Cantone, Emanuele Nardone, Cesare Davide Pace, Ciro Russo, Alessandro Bria, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2024	—	`conf`	A Pixel-Based Anchor Approach for Nuclei Detection in Cervical Cytology Imaging. ICPR (Workshops and Challenges, 2) Ciro Russo, Yusuf B. Tanriverdi, Alessandro Bria, Claudio Marrocco
2024	J	`jnl`	AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans. CoRR Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Claudio De Stefano
2024	—	`conf`	Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports. pHealth Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia
2024	J	`jnl`	GravityNet for end-to-end small lesion detection. Artif. Intell. Medicine Ciro Russo, Alessandro Bria, Claudio Marrocco
2024	J	`jnl`	Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. IEEE Access Claudio Marrocco, Alessandro Bria, Francesco Tortorella, Sara Parrilli, Luca Cicala, Mariano Focareta, Giuseppe Meoli, Mario Molinara
2024	J	`jnl`	Machine Learning in Network Intrusion Detection: A Cross-Dataset Generalization Study. IEEE Access Marco Cantone, Claudio Marrocco, Alessandro Bria
2024	J	`jnl`	On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection. CoRR Marco Cantone, Claudio Marrocco, Alessandro Bria
2024	—	`conf`	Pathologic Complete Response Prediction with Machine Learning Using Hierarchical Attention Feature Extraction. ICPR (Workshops and Challenges, 2) Domenico Paolo, Ciro Russo, Giulio Russo, Carlo Greco, Alessio Cortellini, Marco Russano, Sara Ramella, Paolo Soda, Claudio Marrocco, Alessandro Bria, Rosa Sicilia
2024	—	`conf`	Towards AI-driven Next Generation Personalized Healthcare and Well-being. Ital-IA 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, Guido Manni, Giustino Marino, Domenico Paolo, Filippo Ruffini, Linlin Shen, Rosa Sicilia, Paolo Soda, Christian Tamantini, Matteo Tortora, Zhuoru Wu, Loredana Zollo
2024	J	`jnl`	Transfer learning in breast mass detection and classification. J. Ambient Intell. Humaniz. Comput. Marya Ryspayeva, Alessandro Bria, Claudio Marrocco, Francesco Tortorella, Mario Molinara
2024	—	`conf`	Transformer Models for Enhanced Calcifications Detection in Mammography. ICPR (13) Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria
2024	—	`conf`	UniCas for Industry. Ital-IA Alessio Miele, Hamza Mustafa, Michele Vitelli, Alessandro Bria, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2024	—	`conf`	UniCas for Medicine and Healthcare. Ital-IA 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, Alessandra Scotto di Freca
2023	J	`jnl`	An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform. J. King Saud Univ. Comput. Inf. Sci. Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli, Andrea Ria, Mario Molinara
2023	—	`conf`	Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. ICIAP Workshops (2) Ruth Kehali Kassahun, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella
2023	J	`jnl`	Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. Sensors Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria
2023	J	`jnl`	Editorial: AI applications for diagnosis of breast cancer. Frontiers Artif. Intell. L. J. Muhammad, Alessandro Bria
2023	—	`conf`	End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network. ICIAP (1) Cesare Davide Pace, Alessandro Bria, Mariano Focareta, Gabriele Lozupone, Claudio Marrocco, Giuseppe Meoli, Mario Molinara
2023	J	`jnl`	Gravity Network for end-to-end small lesion detection. CoRR Ciro Russo, Alessandro Bria, Claudio Marrocco
2023	J	`jnl`	Learnable DoG convolutional filters for microcalcification detection. Artif. Intell. Medicine Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria
2023	—	`conf`	Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers. BIBM Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia
2023	J	`jnl`	Transformer-based mass detection in digital mammograms. J. Ambient Intell. Humaniz. Comput. Amparo S. Betancourt Tarifa, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Alessandro Bria
2022	—	`conf`	A Novel Evolutionary Approach for Neural Architecture Search. WIVACE Alessandro Bria, Paolo De Ciccio, Tiziana D'Alessandro, Francesco Fontanella
2022	B	`conf`	An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform. SMARTCOMP Alessandro Bria, Luigi Ferrigno, Claudio Marrocco, Mario Molinara, Michele Vitelli, Andrea Ria, Mattia Cicalini, Giuseppe Manfredini, Paolo Bruschi
2022	J	`jnl`	Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images. CoRR Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria
2022	—	`conf`	Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images. DART@MICCAI Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria
2022	—	`conf`	Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. ICPR Workshops (1) Marya Ryspayeva, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella
2021	B	`conf`	A False Positive Reduction System For Continuous Water Quality Monitoring. SMARTCOMP Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco, Mario Molinara, Paolo Bruschi, Mattia Cicalini, Giuseppe Manfredini, Andrea Ria, Gianni Cerro, Roberto Simmarano, Giovanni Teolis, Michele Vitelli
2021	J	`jnl`	Artificial intelligence for distributed smart systems. Pattern Recognit. Lett. Mario Molinara, Alessandro Bria, Saverio De Vito, Claudio Marrocco
2021	C	`conf`	Task-motion Planning via Tree-based Q-learning Approach for Robotic Object Displacement in Cluttered Spaces. ICINCO Giacomo Golluccio, Daniele Di Vito, Alessandro Marino, Alessandro Bria, Gianluca Antonelli
2020	B	`conf`	A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. SMARTCOMP Carmine Bourelly, Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco, Mario Molinara, Gianni Cerro, Mattia Cicalini, Andrea Ria
2020	J	`jnl`	A multi-context CNN ensemble for small lesion detection. Artif. Intell. Medicine Benedetta Savelli, Alessandro Bria, Mario Molinara, Claudio Marrocco, Francesco Tortorella
2020	J	`jnl`	Addressing class imbalance in deep learning for small lesion detection on medical images. Comput. Biol. Medicine Alessandro Bria, Claudio Marrocco, Francesco Tortorella
2020	J	`jnl`	An IoT-ready solution for automated recognition of water contaminants. Pattern Recognit. Lett. Alessandro Bria, Gianni Cerro, Marco Ferdinandi, Claudio Marrocco, Mario Molinara
2020	—	`conf`	Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification. ICPR Workshops (1) Alessandro Bria, Claudio Marrocco, Francesco Tortorella
2019	B	`conf`	A Novel Smart System for Contaminants Detection and Recognition in Water. SMARTCOMP Marco Ferdinandi, Mario Molinara, Gianni Cerro, Luigi Ferrigno, Claudio Marrocco, Alessandro Bria, Pino Di Meo, Carmine Bourelly, Roberto Simmarano
2019	—	`conf`	Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. CAIP Workshops Benedetta Savelli, Claudio Marrocco, Alessandro Bria, Mario Molinara, Francesco Tortorella
2019	J	`jnl`	Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images. Frontiers Neuroinformatics Alessandro Bria, Massimo Bernaschi, Massimiliano Guarrasi, Giulio Iannello
2018	—	`conf`	A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. MICCAI (1) Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho
2018	—	`conf`	A deep learning framework for micro-calcification detection in 2D mammography and C-view. IWBI Giovanni Trovini, Christian Napoli, Robert Marti, Amaya Martin, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Oliver Díaz
2018	J	`jnl`	Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. IEEE Trans. Medical Imaging Alessandro Bria, Claudio Marrocco, Lucas R. Borges, Mario Molinara, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
2018	—	`conf`	Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. IWBI Alessandro Bria, Claudio Marrocco, Mario Molinara, Benedetta Savelli, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
2018	—	`conf`	Mammogram denoising to improve the calcification detection performance of convolutional nets. IWBI Claudio Marrocco, Alessandro Bria, Valerio Di Sano, Lucas R. Borges, Benedetta Savelli, Mario Molinara, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
2018	A*	`conf`	On the Duality Between Retinex and Image Dehazing. CVPR Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
2017	B	`conf`	Illumination Correction by Dehazing for Retinal Vessel Segmentation. CBMS Benedetta Savelli, Alessandro Bria, Adrian Galdran, Claudio Marrocco, Mario Molinara, Aurélio J. C. Campilho, Francesco Tortorella
2017	J	`jnl`	On the Duality Between Retinex and Image Dehazing. CoRR Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
2017	—	`conf`	Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. ICIAP (2) Benedetta Savelli, Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
2017	—	`conf`	Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
2017	B	`conf`	The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. CBMS Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Jan-Jurre Mordang, Francesco Tortorella, Nico Karssemeijer
2016	J	`jnl`	An effective learning strategy for cascaded object detection. Inf. Sci. Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
2016	—	`conf`	Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks. Digital Mammography / IWDM Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer
2016	—	`conf`	Deep Cascade Classifiers to Detect Clusters of Microcalcifications. Digital Mammography / IWDM Alessandro Bria, Claudio Marrocco, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
2016	—	`conf`	LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. Digital Mammography / IWDM Alessandro Bria, Claudio Marrocco, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
2015	—	`conf`	An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images. ISBI Alessandro Bria, Giulio Iannello, Hanchuan Peng
2014	—	`conf`	A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. HPCS Alessandro Bria, Giulio Iannello, Paolo Soda, Hanchuan Peng, Giovanni Erbacci, Giuseppe Fiameni, Giacomo Mariani, Roberto Mucci, Marco Rorro, Francesco Pavone, Ludovico Silvestri, Paolo Frasconi, Roberto Cortini
2014	J	`jnl`	Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. Medical Image Anal. Alessandro Bria, Nico Karssemeijer, Francesco Tortorella
2013	B	`conf`	Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. AIME Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
2012	B	`conf`	A ranking-based cascade approach for unbalanced data. ICPR Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
2012	—	`conf`	Detecting Clusters of Microcalcifications with a Cascade-Based Approach. Digital Mammography / IWDM Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
2012	—	`conf`	Stitching terabyte-sized 3D images acquired in Confocal Ultramicroscopy. ISBI Alessandro Bria, Ludovico Silvestri, Leonardo Sacconi, Francesco Pavone, Giulio Iannello
2012	J	`jnl`	TeraStitcher - A Tool for Fast Automatic 3D-Stitching of Teravoxel-Sized Microscopy Images. BMC Bioinform. Alessandro Bria, Giulio Iannello