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Elenco Pubblicazioni - Publications (1380)

G.Santini, D.Della Latta, N.Martini, G.Valvano, et al.: "An automatic deep learning approach for coronary artery calcium segmentation". EMBEC & NBC 2017. IFMBE Proceedings, vol 65, Springer Singapore

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Coronary artery calcium (CAC) is a significant marker of atherosclerosis and cardiovascular events. In this work we present a system for the automatic quantification of calcium score in ECG-triggered non-contrast enhanced cardiac computed tomography (CT)…
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G.Valvano, D.Della Latta, N.Martini, G.Santini et al.:"Evaluation of a Deep Convolutional Neural Network method for the segmentation of breast microcalcifications in Mammography Imaging".EMBEC & NBC 2017. IFMBE Proceedings, vol 65, Springer Singapore

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Cluster of microcalcifications can be an early sign of breast cancer. In this paper we present a deep convolutional neural network for microcalcification detection and compare its results to a classical approach. In this work…
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L. Vadicamo, F. Carrara, A. Cimino, S. Cresci, F. Dell’Orletta, F. Falchi, M. Tesconi: “Cross-Media Learning for Image Sentiment Analysis in the Wild”, Proceedings of the 5th Workshop on Web-scale Vision and Social Media (VSM), ICCV 2017

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Much progress has been made in the field of sentiment analysis in the past years. Researchers relied on textual data for this task, while only recently they have started in- vestigating approaches to predict sentiments…
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G. Amato, F. Carrara, F. Falchi, C. Gennaro, C. Meghini, C.Vairo: "Deep Learning for Decentralized Parking Lot Occupancy Detection", ESWA Expert Systems with Applications Journal 72, 327-334

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A smart camera is a vision system capable of extracting application-specific information from the captured images. The paper proposes a decentralized and efficient solution for visual parking lot occupancy detection based on a deep Convolutional…
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F. Carrara, F. Falchi, R. Caldelli, G. Amato, R. Fumarola, R. Becarelli, “Detecting adversarial example attacks to deep neural networks”, Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI), June 2017

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Deep learning has recently become the state of the art in many computer vision applications and in image classification in particular. However, recent works have shown that it is quite easy to create adversarial examples,…
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