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370 results on '"Placidi, Giuseppe"'

1. On the $k$-Hamming and $k$-Edit Distances

Author

Epifanio, Chiara, Forlizzi, Luca, Marzi, Francesca, Mignosi, Filippo, Placidi, Giuseppe, and Spezialetti, Matteo

Subjects
Computer Science - Computational Complexity, Computer Science - Computation and Language, Computer Science - Data Structures and Algorithms
Abstract

In this paper we consider the weighted $k$-Hamming and $k$-Edit distances, that are natural generalizations of the classical Hamming and Edit distances. As main results of this paper we prove that for any $k\geq 2$ the DECIS-$k$-Hamming problem is $\mathbb{P}$-SPACE-complete and the DECIS-$k$-Edit problem is NEXPTIME-complete., Comment: Submitted

Published
2023

2. Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images

Author

Sciarra, Alessandro, Chatterjee, Soumick, Dünnwald, Max, Placidi, Giuseppe, Nürnberger, Andreas, Speck, Oliver, and Oeltze-Jafra, Steffen

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Physics - Medical Physics
Abstract

Motion artefacts in magnetic resonance brain images can have a strong impact on diagnostic confidence. The assessment of MR image quality is fundamental before proceeding with the clinical diagnosis. Motion artefacts can alter the delineation of structures such as the brain, lesions or tumours and may require a repeat scan. Otherwise, an inaccurate (e.g. correct pathology but wrong severity) or incorrect diagnosis (e.g. wrong pathology) may occur. "\textit{Image quality assessment}" as a fast, automated step right after scanning can assist in deciding if the acquired images are diagnostically sufficient. An automated image quality assessment based on the structural similarity index (SSIM) regression through a residual neural network is proposed in this work. Additionally, a classification into different groups - by subdividing with SSIM ranges - is evaluated. Importantly, this method predicts SSIM values of an input image in the absence of a reference ground truth image. The networks were able to detect motion artefacts, and the best performance for the regression and classification task has always been achieved with ResNet-18 with contrast augmentation. The mean and standard deviation of residuals' distribution were $\mu=-0.0009$ and $\sigma=0.0139$, respectively. Whilst for the classification task in 3, 5 and 10 classes, the best accuracies were 97, 95 and 89\%, respectively. The results show that the proposed method could be a tool for supporting neuro-radiologists and radiographers in evaluating image quality quickly.

Published
2022

3. Ensemble CNN and Uncertainty Modeling to Improve Automatic Identification/Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Imaging

Author

Placidi, Giuseppe, Cinque, Luigi, Iacoviello, Daniela, Mignosi, Filippo, and Polsinelli, Matteo

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions with the use of Magnetic Resonance Imaging (MRI) have been presented, but they are outperformed by human experts, from whom they act very differently. This is mainly due to: the ambiguity originated by MRI instabilities; peculiar variability of MS; non specificity of MRI regarding MS. Physicians partially manage the uncertainty generated by ambiguity relying on radiological/clinical/anatomical background and experience. To emulate human diagnosis, we present an automated framework for identification/segmentation of MS lesions from MRI based on three pivotal concepts: 1. the modelling of uncertainty; 2. the proposal of two, separately trained, CNN, one optimized for lesions and the other for lesions with respect to the environment surrounding them, respectively repeated for axial, coronal and sagittal directions; 3. the definition of an ensemble classifier to merge the information collected by different CNN. The proposed framework is trained, validated and tested on the 2016 MSSEG benchmark public data set from a single imaging modality, the FLuid-Attenuated Inversion Recovery (FLAIR). The comparison with the ground-truth and with each of 7 human raters, proves that there is no significant difference between the automated and the human raters.

Published
2021

5. Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification

Author

Castellano, Giovanna, Placidi, Giuseppe, Polsinelli, Matteo, Tulipani, Gianpiero, Vessio, Gennaro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rousseau, Jean-Jacques, editor, and Kapralos, Bill, editor

Published
2023
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7. Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals

Author

Placidi, Giuseppe, Cinque, Luigi, and Polsinelli, Matteo

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Electroencephalography (EEG) measures the electrical brain activity in real-time by using sensors placed on the scalp. Artifacts, due to eye movements and blink, muscular/cardiac activity and generic electrical disturbances, have to be recognized and eliminated to allow a correct interpretation of the useful brain signals (UBS) of EEG. Independent Component Analysis (ICA) is effective to split the signal into independent components (ICs) whose re-projections on 2D scalp topographies (images), also called topoplots, allow to recognize/separate artifacts and by UBS. Until now, IC topoplot analysis, a gold standard in EEG, has been carried on visually by human experts and, hence, not usable in automatic, fast-response EEG. We present a completely automatic and effective framework for EEG artifact recognition by IC topoplots, based on 2D Convolutional Neural Networks (CNNs), capable to divide topoplots in 4 classes: 3 types of artifacts and UBS. The framework setup is described and results are presented, discussed and compared with those obtained by other competitive strategies. Experiments, carried on public EEG datasets, have shown an overall accuracy of above 98%, employing 1.4 sec on a standard PC to classify 32 topoplots, that is to drive an EEG system of 32 sensors. Though not real-time, the proposed framework is efficient enough to be used in fast-response EEG-based Brain-Computer Interfaces (BCI) and faster than other automatic methods based on ICs.

Published
2020
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8. A Light CNN for detecting COVID-19 from CT scans of the chest

Author

Polsinelli, Matteo, Cinque, Luigi, and Placidi, Giuseppe

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

OVID-19 is a world-wide disease that has been declared as a pandemic by the World Health Organization. Computer Tomography (CT) imaging of the chest seems to be a valid diagnosis tool to detect COVID-19 promptly and to control the spread of the disease. Deep Learning has been extensively used in medical imaging and convolutional neural networks (CNNs) have been also used for classification of CT images. We propose a light CNN design based on the model of the SqueezeNet, for the efficient discrimination of COVID-19 CT images with other CT images (community-acquired pneumonia and/or healthy images). On the tested datasets, the proposed modified SqueezeNet CNN achieved 83.00\% of accuracy, 85.00\% of sensitivity, 81.00\% of specificity, 81.73\% of precision and 0.8333 of F1Score in a very efficient way (7.81 seconds medium-end laptot without GPU acceleration). Besides performance, the average classification time is very competitive with respect to more complex CNN designs, thus allowing its usability also on medium power computers. In the next future we aim at improving the performances of the method along two directions: 1) by increasing the training dataset (as soon as other CT images will be available); 2) by introducing an efficient pre-processing strategy.

Published
2020
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11. Integration of a BCI with a Hand Tracking System and a Motorized Robotic Arm to Improve Decoding of Brain Signals Related to Hand and Finger Movements

Author

Placidi, Giuseppe, De Gasperis, Giovanni, Mignosi, Filippo, Polsinelli, Matteo, Spezialetti, Matteo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bebis, George, editor, Athitsos, Vassilis, editor, Yan, Tong, editor, Lau, Manfred, editor, Li, Frederick, editor, Shi, Conglei, editor, Yuan, Xiaoru, editor, Mousas, Christos, editor, and Bruder, Gerd, editor

Published
2021
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12. Local Contrast Normalization to Improve Preprocessing in MRI of the Brain

Author

Placidi, Giuseppe, Polsinelli, Matteo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rojas, Ignacio, editor, Castillo-Secilla, Daniel, editor, Herrera, Luis Javier, editor, and Pomares, Héctor, editor

Published
2021
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16. MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking.

Author

Mattei, Enrico, Lozzi, Daniele, Di Matteo, Alessandro, Cipriani, Alessia, Manes, Costanzo, and Placidi, Giuseppe

Subjects
MOTION control devices, REST periods, ELECTROENCEPHALOGRAPHY, ACQUISITION of data, WRIST, RESEARCH & development
Abstract

Brain–computer interfaces (BCIs) are pivotal in translating neural activities into control commands for external assistive devices. Non-invasive techniques like electroencephalography (EEG) offer a balance of sensitivity and spatial-temporal resolution for capturing brain signals associated with motor activities. This work introduces MOVING, a Multi-Modal dataset of EEG signals and Virtual Glove Hand Tracking. This dataset comprises neural EEG signals and kinematic data associated with three hand movements—open/close, finger tapping, and wrist rotation—along with a rest period. The dataset, obtained from 11 subjects using a 32-channel dry wireless EEG system, also includes synchronized kinematic data captured by a Virtual Glove (VG) system equipped with two orthogonal Leap Motion Controllers. The use of these two devices allows for fast assembly (∼1 min), although introducing more noise than the gold standard devices for data acquisition. The study investigates which frequency bands in EEG signals are the most informative for motor task classification and the impact of baseline reduction on gesture recognition. Deep learning techniques, particularly EEGnetV4, are applied to analyze and classify movements based on the EEG data. This dataset aims to facilitate advances in BCI research and in the development of assistive devices for people with impaired hand mobility. This study contributes to the repository of EEG datasets, which is continuously increasing with data from other subjects, which is hoped to serve as benchmarks for new BCI approaches and applications. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Automatic Framework for Multiple Sclerosis Follow-up by Magnetic Resonance Imaging for Reducing Contrast Agents

Author

Placidi, Giuseppe, Cinque, Luigi, Polsinelli, Matteo, Splendiani, Alessandra, Tommasino, Emanuele, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ricci, Elisa, editor, Rota Bulò, Samuel, editor, Snoek, Cees, editor, Lanz, Oswald, editor, Messelodi, Stefano, editor, and Sebe, Nicu, editor

Published
2019
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20. Characterization of a Virtual Glove for Hand Rehabilitation Based on Orthogonal LEAP Controllers

Author

Placidi, Giuseppe, Cinque, Luigi, Polsinelli, Matteo, Spezialetti, Matteo, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, De Marsico, Maria, editor, di Baja, Gabriella Sanniti, editor, and Fred, Ana, editor

Published
2018
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24. A Virtual System for Balance Control Assessment at Home

Author

Spezialetti, Matteo, Iacoviello, Daniela, Petracca, Andrea, Placidi, Giuseppe, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Fardoun, Habib M., editor, R. Penichet, Victor M., editor, Alghazzawi, Daniyal M., editor, and De la Guia, M. Elena, editor

Published
2017
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25. An Affective BCI Driven by Self-induced Emotions for People with Severe Neurological Disorders

Author

Placidi, Giuseppe, Cinque, Luigi, Di Giamberardino, Paolo, Iacoviello, Daniela, Spezialetti, Matteo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Battiato, Sebastiano, editor, Farinella, Giovanni Maria, editor, Leo, Marco, editor, and Gallo, Giovanni, editor

Published
2017
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26. Design of a Classification Strategy for Light Microscopy Images of the Human Liver

Author

Cinque, Luigi, De Santis, Alberto, Di Giamberardino, Paolo, Iacoviello, Daniela, Placidi, Giuseppe, Pompili, Simona, Sferra, Roberta, Spezialetti, Matteo, Vetuschi, Antonella, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Battiato, Sebastiano, editor, Gallo, Giovanni, editor, Schettini, Raimondo, editor, and Stanco, Filippo, editor

Published
2017
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30. Innovative On-line Handwriting Identification Algorithm Based on Stroke Features

Author

Avola, Danilo, Cinque, Luigi, Levialdi, Stefano, Petracca, Andrea, Placidi, Giuseppe, Spezialetti, Matteo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Zhang, Yongjie Jessica, editor, and Tavares, João Manuel R. S., editor

Published
2014
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31. Time-of-Flight Camera Based Virtual Reality Interaction for Balance Rehabilitation Purposes

Author

Avola, Danilo, Cinque, Luigi, Levialdi, Stefano, Petracca, Andrea, Placidi, Giuseppe, Spezialetti, Matteo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Zhang, Yongjie Jessica, editor, and Tavares, João Manuel R. S., editor

Published
2014
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32. Adaptive Sampling and Non Linear Reconstruction for Cardiac Magnetic Resonance Imaging

Author

Placidi, Giuseppe, Avola, Danilo, Cinque, Luigi, Macchiarelli, Guido, Petracca, Andrea, Spezialetti, Matteo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Zhang, Yongjie Jessica, editor, and Tavares, João Manuel R. S., editor

Published
2014
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36. Human Body Language Analysis: A Preliminary Study Based on Kinect Skeleton Tracking

Author

Avola, Danilo, Cinque, Luigi, Levialdi, Stefano, Placidi, Giuseppe, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Petrosino, Alfredo, editor, Maddalena, Lucia, editor, and Pala, Pietro, editor

Published
2013
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37. SketchSPORE: A Sketch Based Domain Separation and Recognition System for Interactive Interfaces

Author

Avola, Danilo, Cinque, Luigi, Placidi, Giuseppe, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Petrosino, Alfredo, editor

Published
2013
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38. Artificial Intelligence Based Strategies for Data-Driven Radial MRI

Author

Placidi, Giuseppe, Cinque, Luigi, Mignosi, Filippo, Polsinelli, Matteo, and and Alessandro Sciarra

Subjects
Magnetic resonance imaging · Artificial intelligence · Radial acquisition · Data-drive acquisition · Sparse sampling · Super-resolution · Iterative acquisition/reconstruction
Published
2022

43. Circular Acquisition to Define the Minimal Set of Projections for Optimal MRI Reconstruction

Author

Placidi, Giuseppe, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Barneva, Reneta P., editor, Brimkov, Valentin E., editor, Hauptman, Herbert A., editor, Natal Jorge, Renato M., editor, and Tavares, João Manuel R. S., editor

Published
2010
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44. Numerical Methods for the Semi-automatic Analysis of Multimodal Wound Healing Images

Author

Placidi, Giuseppe, Cifone, Maria Grazia, Cinque, Benedetta, Franchi, Danilo, Giuliani, Maurizio, La Torre, Cristina, Macchiarelli, Guido, Maglione, Marta, Maurizi, Alfredo, Miconi, Gianfranca, Sotgiu, Antonello, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Barneva, Reneta P., editor, Brimkov, Valentin E., editor, Hauptman, Herbert A., editor, Natal Jorge, Renato M., editor, and Tavares, João Manuel R. S., editor

Published
2010
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45. Characterization of a SimMechanics Model for a Virtual Glove Rehabilitation System

Author

Franchi, Danilo, Maurizi, Alfredo, Placidi, Giuseppe, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Barneva, Reneta P., editor, Brimkov, Valentin E., editor, Hauptman, Herbert A., editor, Natal Jorge, Renato M., editor, and Tavares, João Manuel R. S., editor

Published
2010
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46. Contributors

Author

Allam, Anthony K., Attux, Romis, Ayus, Ishan, Balaha, Hossam Magdy, Banks, Garrett P., Chaki, Jyotismita, Cooney, Ciaran, Coyle, Damien, Das, Kritiprasanna, Das, Tanaya, Denkovski, Daniel, Folli, Raffaella, Gjoreski, Hristijan, Hassan, Asmaa El-Sayed, Jahani, Hamid, Jayakody Arachchige, Minoru Dhananjaya, Jena, Biswajit, Kumar, Shiu, Larkin, M. Benjamin, Leite, Sarah N.C., Mondal, Achinta, Nafea, Marwan, Pachori, Ram Bilas, Pavleska, Sandra, Phukan, Nabasmita, Placidi, Giuseppe, Polsinelli, Matteo, Rakovic, Valentin, Safaei, Ali Asghar, Sharma, Alok, Sheth, Sameer A., Sut, Dhruba Jyoti, Viana, Paulo A.A.L., and Viswanathan, Ashwin

Published
2025
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47. A Novel Segmentation Algorithm for Digital Subtraction Angiography Images: First Experimental Results

Author

Franchi, Danilo, Gallo, Pasquale, Placidi, Giuseppe, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Remagnino, Paolo, editor, Porikli, Fatih, editor, Peters, Jörg, editor, Klosowski, James, editor, Arns, Laura, editor, Chun, Yu Ka, editor, Rhyne, Theresa-Marie, editor, and Monroe, Laura, editor

Published
2008
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48. A Novel Acceleration Coding/Reconstruction Algorithm for Magnetic Resonance Imaging in Presence of Static Magnetic Field In-Homogeneities

Author

Placidi, Giuseppe, Franchi, Danilo, Galante, Angelo, Sotgiu, Antonello, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Remagnino, Paolo, editor, Porikli, Fatih, editor, Peters, Jörg, editor, Klosowski, James, editor, Arns, Laura, editor, Chun, Yu Ka, editor, Rhyne, Theresa-Marie, editor, and Monroe, Laura, editor

Published
2008
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