Alessandro Bria

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Lesion Detection

Transfer Learning

Top Venues

Digital Mammography / IWDM

Publications

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 (2024)
Marco Cantone, Claudio Marrocco, Alessandro Bria
On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection. CoRR (2024)
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 (2024)
Ciro Russo, Alessandro Bria, Claudio Marrocco
GravityNet for end-to-end small lesion detection. Artif. Intell. Medicine 150 (2024)
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)
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) (2023)
Ciro Russo, Alessandro Bria, Claudio Marrocco
Gravity Network for end-to-end small lesion detection. CoRR (2023)
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) (2023)
L. J. Muhammad, Alessandro Bria
Editorial: AI applications for diagnosis of breast cancer. Frontiers Artif. Intell. 6 (2023)
Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria
Learnable DoG convolutional filters for microcalcification detection. Artif. Intell. Medicine 143 (2023)
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)
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)
Marco Cantone, Claudio Marrocco, Francesco Tortorella, Alessandro Bria
Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. Sensors 23 (3) (2023)
Alessandro Bria, Paolo De Ciccio, Tiziana D'Alessandro, Francesco Fontanella
A Novel Evolutionary Approach for Neural Architecture Search. WIVACE (2022)
Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images. CoRR (2022)
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)
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)
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)
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)
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)
Mario Molinara, Alessandro Bria, Saverio De Vito, Claudio Marrocco
Artificial intelligence for distributed smart systems. Pattern Recognit. Lett. 142 (2021)
Alessandro Bria, Gianni Cerro, Marco Ferdinandi, Claudio Marrocco, Mario Molinara
An IoT-ready solution for automated recognition of water contaminants. Pattern Recognit. Lett. 135 (2020)
Benedetta Savelli, Alessandro Bria, Mario Molinara, Claudio Marrocco, Francesco Tortorella
A multi-context CNN ensemble for small lesion detection. Artif. Intell. Medicine 103 (2020)
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)
Alessandro Bria, Claudio Marrocco, Francesco Tortorella
Addressing class imbalance in deep learning for small lesion detection on medical images. Comput. Biol. Medicine 120 (2020)
Alessandro Bria, Claudio Marrocco, Francesco Tortorella
Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification. ICPR Workshops (1) (2020)
Benedetta Savelli, Claudio Marrocco, Alessandro Bria, Mario Molinara, Francesco Tortorella
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. CAIP Workshops (2019)
Alessandro Bria, Massimo Bernaschi, Massimiliano Guarrasi, Giulio Iannello
Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images. Frontiers Neuroinformatics 13 (2019)
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)
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)
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) (2018)
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)
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
On the Duality Between Retinex and Image Dehazing. CVPR (2018)
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)
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)
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)
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)
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)
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío
On the Duality Between Retinex and Image Dehazing. CoRR (2017)
Benedetta Savelli, Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. ICIAP (2) (2017)
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)
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)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
An effective learning strategy for cascaded object detection. Inf. Sci. (2016)
Alessandro Bria, Claudio Marrocco, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
Deep Cascade Classifiers to Detect Clusters of Microcalcifications. Digital Mammography / IWDM (2016)
Alessandro Bria, Giulio Iannello, Hanchuan Peng
An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images. ISBI (2015)
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)
Alessandro Bria, Nico Karssemeijer, Francesco Tortorella
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. Medical Image Anal. 18 (2) (2014)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. AIME (2013)
Alessandro Bria, Ludovico Silvestri, Leonardo Sacconi, Francesco Pavone, Giulio Iannello
Stitching terabyte-sized 3D images acquired in Confocal Ultramicroscopy. ISBI (2012)
Alessandro Bria, Giulio Iannello
TeraStitcher - A Tool for Fast Automatic 3D-Stitching of Teravoxel-Sized Microscopy Images. BMC Bioinform. 13 (2012)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
Detecting Clusters of Microcalcifications with a Cascade-Based Approach. Digital Mammography / IWDM (2012)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
A ranking-based cascade approach for unbalanced data. ICPR (2012)