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ORCIDAlessandro Bria
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2020 – today
- 2024
[j18]Claudio Marrocco
, Alessandro Bria, Francesco Tortorella, Sara Parrilli, Luca Cicala, Mariano Focareta, Giuseppe Meoli, Mario Molinara:
Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. IEEE Access 12: 79585-79601 (2024)- [j17]Marco Cantone, Claudio Marrocco, Alessandro Bria:
Machine Learning in Network Intrusion Detection: A Cross-Dataset Generalization Study. IEEE Access 12: 144489-144508 (2024) - [j16]Ciro Russo, Alessandro Bria, Claudio Marrocco:
GravityNet for end-to-end small lesion detection. Artif. Intell. Medicine 150: 102842 (2024) - [j15]Marya Ryspayeva, Alessandro Bria, Claudio Marrocco, Francesco Tortorella, Mario Molinara:
Transfer learning in breast mass detection and classification. J. Ambient Intell. Humaniz. Comput. 15(10): 3587-3602 (2024) - [c36]Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria:
Transformer Models for Enhanced Calcifications Detection in Mammography. ICPR (13) 2024: 17-33 - [c35]Alessio Miele, Hamza Mustafa, Michele Vitelli, Alessandro Bria, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
UniCas for Industry. Ital-IA 2024: 253-258 - [c34]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:
UniCas for Medicine and Healthcare. Ital-IA 2024: 330-335 - [c33]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:
Towards AI-driven Next Generation Personalized Healthcare and Well-being. Ital-IA 2024: 360-365 - [c32]Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia:
Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports. pHealth 2024: 98-102 - [i5]Marco Cantone, Claudio Marrocco, Alessandro Bria:
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection. CoRR abs/2402.10974 (2024) - [i4]Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Claudio De Stefano:
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans. CoRR abs/2407.02418 (2024) - 2023
- [j14]Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria:
Learnable DoG convolutional filters for microcalcification detection. Artif. Intell. Medicine 143: 102629 (2023) - [j13]L. J. Muhammad, Alessandro Bria:
Editorial: AI applications for diagnosis of breast cancer. Frontiers Artif. Intell. 6 (2023) - [j12]Amparo S. Betancourt Tarifa, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Alessandro Bria:
Transformer-based mass detection in digital mammograms. J. Ambient Intell. Humaniz. Comput. 14(3): 2723-2737 (2023) - [j11]Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli, Andrea Ria, Mario Molinara:
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. 35(1): 499-513 (2023) - [j10]Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria:
Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. Sensors 23(3): 1229 (2023) - [c31]Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia:
Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers. BIBM 2023: 4101-4107 - [c30]Ruth Kehali Kassahun, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. ICIAP Workshops (2) 2023: 71-82 - [c29]Cesare Davide Pace, Alessandro Bria, Mariano Focareta, Gabriele Lozupone, Claudio Marrocco, Giuseppe Meoli, Mario Molinara:
End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network. ICIAP (1) 2023: 232-244 - [i3]Ciro Russo, Alessandro Bria, Claudio Marrocco:
Gravity Network for end-to-end small lesion detection. CoRR abs/2309.12876 (2023) - 2022
- [c28]Marya Ryspayeva, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. ICPR Workshops (1) 2022: 529-538 - [c27]Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria:
Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images. DART@MICCAI 2022: 98-107 - [c26]Alessandro Bria, Luigi Ferrigno, Claudio Marrocco, Mario Molinara, Michele Vitelli, Andrea Ria, Mattia Cicalini, Giuseppe Manfredini, Paolo Bruschi:
An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform. SMARTCOMP 2022: 263-268 - [c25]Alessandro Bria, Paolo De Ciccio, Tiziana D'Alessandro, Francesco Fontanella:
A Novel Evolutionary Approach for Neural Architecture Search. WIVACE 2022: 195-204 - [i2]Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria:
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images. CoRR abs/2208.03327 (2022) - 2021
- [j9]Mario Molinara, Alessandro Bria, Saverio De Vito, Claudio Marrocco:
Artificial intelligence for distributed smart systems. Pattern Recognit. Lett. 142: 48-50 (2021) - [c24]Giacomo Golluccio, Daniele Di Vito, Alessandro Marino, Alessandro Bria, Gianluca Antonelli:
Task-motion Planning via Tree-based Q-learning Approach for Robotic Object Displacement in Cluttered Spaces. ICINCO 2021: 130-137 - [c23]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:
A False Positive Reduction System For Continuous Water Quality Monitoring. SMARTCOMP 2021: 311-316 - 2020
- [j8]Benedetta Savelli, Alessandro Bria, Mario Molinara, Claudio Marrocco, Francesco Tortorella:
A multi-context CNN ensemble for small lesion detection. Artif. Intell. Medicine 103: 101749 (2020) - [j7]Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Addressing class imbalance in deep learning for small lesion detection on medical images. Comput. Biol. Medicine 120: 103735 (2020) - [j6]Alessandro Bria, Gianni Cerro, Marco Ferdinandi, Claudio Marrocco, Mario Molinara:
An IoT-ready solution for automated recognition of water contaminants. Pattern Recognit. Lett. 135: 188-195 (2020) - [c22]Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification. ICPR Workshops (1) 2020: 526-535 - [c21]Carmine Bourelly, Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco, Mario Molinara, Gianni Cerro, Mattia Cicalini, Andrea Ria:
A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. SMARTCOMP 2020: 410-415
2010 – 2019
- 2019
- [j5]Alessandro Bria, Massimo Bernaschi, Massimiliano Guarrasi, Giulio Iannello:
Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images. Frontiers Neuroinformatics 13: 41 (2019) - [c20]Benedetta Savelli, Claudio Marrocco, Alessandro Bria, Mario Molinara, Francesco Tortorella:
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. CAIP Workshops 2019: 36-44 - [c19]Marco Ferdinandi, Mario Molinara, Gianni Cerro, Luigi Ferrigno, Claudio Marrocco, Alessandro Bria, Pino Di Meo, Carmine Bourelly, Roberto Simmarano:
A Novel Smart System for Contaminants Detection and Recognition in Water. SMARTCOMP 2019: 186-191 - 2018
- [j4]Alessandro Bria, Claudio Marrocco, Lucas R. Borges, Mario Molinara, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella:
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. IEEE Trans. Medical Imaging 37(8): 1857-1864 (2018) - [c18]Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío:
On the Duality Between Retinex and Image Dehazing. CVPR 2018: 8212-8221 - [c17]Claudio Marrocco, Alessandro Bria, Valerio Di Sano, Lucas R. Borges, Benedetta Savelli, Mario Molinara, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella:
Mammogram denoising to improve the calcification detection performance of convolutional nets. IWBI 2018: 107180W - [c16]Alessandro Bria, Claudio Marrocco, Mario Molinara, Benedetta Savelli, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella:
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. IWBI 2018: 1071808 - [c15]Giovanni Trovini, Christian Napoli, Robert Marti, Amaya Martin, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Oliver Díaz:
A deep learning framework for micro-calcification detection in 2D mammography and C-view. IWBI 2018: 1071811 - [c14]Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho:
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. MICCAI (1) 2018: 82-90 - 2017
- [c13]Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Jan-Jurre Mordang, Francesco Tortorella, Nico Karssemeijer:
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. CBMS 2017: 207-212 - [c12]Benedetta Savelli, Alessandro Bria, Adrian Galdran, Claudio Marrocco, Mario Molinara, Aurélio J. C. Campilho, Francesco Tortorella:
Illumination Correction by Dehazing for Retinal Vessel Segmentation. CBMS 2017: 219-224 - [c11]Benedetta Savelli, Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella:
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. ICIAP (2) 2017: 267-276 - [c10]Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella:
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) 2017: 288-298 - [i1]Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío:
On the Duality Between Retinex and Image Dehazing. CoRR abs/1712.02754 (2017) - 2016
- [j3]Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella:
An effective learning strategy for cascaded object detection. Inf. Sci. 340-341: 17-26 (2016) - [c9]Alessandro Bria, Claudio Marrocco, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella:
LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. Digital Mammography / IWDM 2016: 27-34 - [c8]Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer:
Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks. Digital Mammography / IWDM 2016: 35-42 - [c7]Alessandro Bria, Claudio Marrocco, Nico Karssemeijer, Mario Molinara, Francesco Tortorella:
Deep Cascade Classifiers to Detect Clusters of Microcalcifications. Digital Mammography / IWDM 2016: 415-422 - 2015
- [c6]Alessandro Bria, Giulio Iannello, Hanchuan Peng:
An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images. ISBI 2015: 520-523 - 2014
- [j2]Alessandro Bria, Nico Karssemeijer, Francesco Tortorella:
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. Medical Image Anal. 18(2): 241-252 (2014) - [c5]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:
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. HPCS 2014: 592-599 - 2013
- [c4]Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella:
Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. AIME 2013: 166-170 - 2012
- [j1]Alessandro Bria, Giulio Iannello:
TeraStitcher - A Tool for Fast Automatic 3D-Stitching of Teravoxel-Sized Microscopy Images. BMC Bioinform. 13: 316 (2012) - [c3]Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella:
A ranking-based cascade approach for unbalanced data. ICPR 2012: 3439-3442 - [c2]Alessandro Bria, Ludovico Silvestri, Leonardo Sacconi, Francesco Pavone, Giulio Iannello:
Stitching terabyte-sized 3D images acquired in Confocal Ultramicroscopy. ISBI 2012: 1659-1662 - [c1]Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella:
Detecting Clusters of Microcalcifications with a Cascade-Based Approach. Digital Mammography / IWDM 2012: 111-118
Coauthor Index
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