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2020 – today
- 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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