BRIA, Alessandro

BRIA, Alessandro  

Dipartimento di Ingegneria Elettrica e dell'Informazione "Maurizio Scarano"  

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Risultati 1 - 20 di 44 (tempo di esecuzione: 0.03 secondi).
Titolo Data di pubblicazione Autore(i) File
Addressing class imbalance in deep learning for small lesion detection on medical images 1-gen-2020 Bria, Alessandro; Marrocco, Claudio; Tortorella, Francesco
Artificial intelligence for distributed smart systems 1-gen-2021 Molinara, M.; Bria, A.; De Vito, S.; Marrocco, C.
Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks 1-gen-2016 Mordang, Jan-Jurre; Janssen, Tim; Bria, Alessandro; Kooi, Thijs; Gubern-Mérida, Albert; Karssemeijer, Nico
Bioimage Informatics for Big Data 1-gen-2016 Peng, Hanchuan; Zhou, Jie; Zhou, Zhi; Bria, Alessandro; Li, Yujie; Kleissas, Dean Mark; Drenkow, Nathan G; Long, Brian; Liu, Xiaoxiao; Chen, Hanbo
Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications 1-gen-2013 Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco
Combination of two-photon fluorescence microscopy and label-free near-infrared reflectance: a new complementary approach for brain imaging 1-gen-2016 Costantini, Irene; Allegra Mascaro, Anna Letizia; Margoni, Emilia; Iannello, Giulio; Bria, Alessandro; Sacconi, Leonardo; Pavone, Francesco S.
Combining convolutional neural networks for multi-context microcalcification detection in mammograms 1-gen-2019 Savelli, B.; Marrocco, C.; Bria, A.; Molinara, M.; Tortorella, F.
Confocal light sheet microscopy: micron-scale neuroanatomy of the entire mouse brain 1-gen-2012 Silvestri, L; Bria, A; Sacconi, L; Iannello, G; Pavone, F S
Deep cascade classifiers to detect clusters of microcalcifications 1-gen-2016 Bria, Alessandro; Marrocco, Claudio; Karssemeijer, N.; Molinara, Mario; Tortorella, Francesco
A deep learning framework for micro-calcification detection in 2D mammography and C-view 1-gen-2018 Trovini, G.; Napoli, C.; Marti, R.; Martin, A.; Bria, A.; Marrocco, C.; Molinara, M.; Tortorella, F.; Diaz, O.
Deep Transfer Learning for writer identification in medieval books 1-gen-2018 Bria, Alessandro; Cilia, Nicole Dalia; De Stefano, Claudio; Fontanella, Francesco; Marrocco, Claudio; Molinara, Mario; Scotto di Freca, Alessandra; Tortorella, Francesco
Detecting Clusters of Microcalcifications with a Cascade-Based Approach 1-gen-2012 Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks 1-gen-2017 Marchesi, Agnese; Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Mordang, Jan-Jurre; Tortorella, Francesco; Karssemeijer, Nico
An effective learning strategy for cascaded object detection 1-gen-2016 Bria, Alessandro; Marrocco, Claudio; Molinara, Mario; Tortorella, Francesco
Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images 1-gen-2019 Bria, Alessandro; Bernaschi, Massimo; Guarrasi, Massimiliano; Iannello, Giulio
Extensible visualization and analysis for multidimensional images using Vaa3D 1-gen-2014 Peng, Hanchuan; Bria, Alessandro; Zhou, Zhi; Iannello, Giulio; Long, Fuhui
A False Positive Reduction System for Continuous Water Quality Monitoring 1-gen-2021 Bria, A.; Ferrigno, L.; Gerevini, L.; Marrocco, C.; Molinara, M.; Bruschi, P.; Cicalini, M.; Manfredini, G.; Ria, A.; Cerro, G.; Simmarano, R.; Teolis, G.; Vitelli, M.
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy 1-gen-2014 Bria, Alessandro; Iannello, Giulio; Soda, Paolo; Peng, Hanchuan; Erbacci, Giovanni; Fiameni, Giuseppe; Mariani, Giacomo; Mucci, Roberto; Rorro, Marco; Pavone, Francesco; Silvestri, Ludovico; Frasconi, Paolo; Cortini, Roberto
Illumination Correction by Dehazing for Retinal Vessel Segmentation 1-gen-2017 Savelli, Benedetta; Bria, Alessandro; Galdran, Adrian; Marrocco, Claudio; Molinara, Mario; Campilho, Aurelio; Tortorella, Francesco
The importance of early detection of calcifications associated with breast cancer in screening 1-gen-2017 Mordang, J. J; Gubern-mérida, A; Bria, A; Tortorella, F; Mann, R. M; Broeders, M. J. M; Den Heeten, G. J; Karssemeijer, N.