2006
Journal article
Restricted
Combinatorial relations for digital pictures
Brimkov V E, Moroni D, Barneva R
In this paper we define the notion of gap in an arbitrary digital picture S in a digital space of arbitrary dimension. As a main result, we obtain an explicit formula for the number of gaps in S of maximal dimension. We also derive a combinatorial relation for a digital curve.
Brimkov V E, Moroni D, Barneva R
In this paper we define the notion of gap in an arbitrary digital picture S in a digital space of arbitrary dimension. As a main result, we obtain an explicit formula for the number of gaps in S of maximal dimension. We also derive a combinatorial relation for a digital curve.
See at:
CNR IRIS 
| CNR IRIS | www.springerlink.com
2012
Other
Restricted
The genus invariant for Artin groups
Moroni D, Salvetti M, Villa A
Let (W; S) be a Coxeter system, S finite, and let G_W be the associated Artin group. One has conguration spaces Y; Y_W; where G_W = PI_1(Y_W); and a natural W-covering f_W : Y --> Y_W. We consider the Schwarz genus g(f_W) of this covering, which is a natural topological in- variant of the Artin group. Let K = K(W; S) be the simplicial scheme of all subsets J subset of S such that the parabolic group W_J is finite. We introduce the class of Artin groups, which includes affine-type Artin groups, for which dim(K) equals the homological dimension of K; and we show that g(f_W) is always the maximum possible for this class of groups. Such maximum is given by dim(X_W) + 1; where X_W (subset of Y_W) is a CW-complex which has the same homotopy type. This result extends a previous result in [Deconcini Salvetti 2000] obtained for all finite-type Artin groups, with the exception of case A_n (for which see [Deconcini Procesi Salvetti 2004]).
Moroni D, Salvetti M, Villa A
Let (W; S) be a Coxeter system, S finite, and let G_W be the associated Artin group. One has conguration spaces Y; Y_W; where G_W = PI_1(Y_W); and a natural W-covering f_W : Y --> Y_W. We consider the Schwarz genus g(f_W) of this covering, which is a natural topological in- variant of the Artin group. Let K = K(W; S) be the simplicial scheme of all subsets J subset of S such that the parabolic group W_J is finite. We introduce the class of Artin groups, which includes affine-type Artin groups, for which dim(K) equals the homological dimension of K; and we show that g(f_W) is always the maximum possible for this class of groups. Such maximum is given by dim(X_W) + 1; where X_W (subset of Y_W) is a CW-complex which has the same homotopy type. This result extends a previous result in [Deconcini Salvetti 2000] obtained for all finite-type Artin groups, with the exception of case A_n (for which see [Deconcini Procesi Salvetti 2004]).
2012
Contribution to book
Restricted
Some topological problems on the configuration spaces of Artin and Coxeter groups.
Moroni D, Salvetti M, Villa A
In the first part we review some topological and algebraic aspects in the theory of Artin and Coxeter groups, both in the finite and infinite case (but still finitely generated). In the following parts, among other things, we compute the Schwartz genus of the covering associated to the orbit space for all affine Artin groups.Source: CRM SERIES, pp. 403-431
Moroni D, Salvetti M, Villa A
In the first part we review some topological and algebraic aspects in the theory of Artin and Coxeter groups, both in the finite and infinite case (but still finitely generated). In the following parts, among other things, we compute the Schwartz genus of the covering associated to the orbit space for all affine Artin groups.Source: CRM SERIES, pp. 403-431
See at:
CNR IRIS | CNR IRIS | www.springer.com
2014
Journal article
Restricted
Topology - The genus of the configuration spaces for Artin groups of affine type
Moroni D, Salvetti M, Villa A
Let (W,S) be a Coxeter system, S finite, and let GW be the associated Artin group. One has {it configuration spaces} Y, YW, where GW=?1(YW), and a natural W-covering fW: Y->YW. The {it Schwarz genus} g(fW) is a natural topological invariant to consider. In cite{salvdec2} it was computed for all finite-type Artin groups, with the exception of case An (for which see cite{vassiliev},cite{salvdecproc3}). In this paper we generalize this result by computing the Schwarz genus for a class of Artin groups, which includes the affine-type Artin groups. Let K=K(W,S) be the simplicial scheme of all subsets J?S such that the parabolic group WJ is finite. We introduce the class of groups for which dim(K) equals the homological dimension of K, and we show that g(fW) is always the maximum possible for such class of groups. For affine Artin groups, such maximum reduces to the rank of the group. In general, it is given by dim(XW)+1, where XW?YW is a well-known CW-complex which has the same homotopy type as $mathbf Y_{mathbf W}.Source: ATTI DELLA ACCADEMIA NAZIONALE DEI LINCEI. RENDICONTI LINCEI. MATEMATICA E APPLICAZIONI (TESTO STAMP.), vol. 25 (issue 3), pp. 233-248
Moroni D, Salvetti M, Villa A
Let (W,S) be a Coxeter system, S finite, and let GW be the associated Artin group. One has {it configuration spaces} Y, YW, where GW=?1(YW), and a natural W-covering fW: Y->YW. The {it Schwarz genus} g(fW) is a natural topological invariant to consider. In cite{salvdec2} it was computed for all finite-type Artin groups, with the exception of case An (for which see cite{vassiliev},cite{salvdecproc3}). In this paper we generalize this result by computing the Schwarz genus for a class of Artin groups, which includes the affine-type Artin groups. Let K=K(W,S) be the simplicial scheme of all subsets J?S such that the parabolic group WJ is finite. We introduce the class of groups for which dim(K) equals the homological dimension of K, and we show that g(fW) is always the maximum possible for such class of groups. For affine Artin groups, such maximum reduces to the rank of the group. In general, it is given by dim(XW)+1, where XW?YW is a well-known CW-complex which has the same homotopy type as $mathbf Y_{mathbf W}.Source: ATTI DELLA ACCADEMIA NAZIONALE DEI LINCEI. RENDICONTI LINCEI. MATEMATICA E APPLICAZIONI (TESTO STAMP.), vol. 25 (issue 3), pp. 233-248
See at:
CNR IRIS | CNR IRIS | www.ems-ph.org
2016
Journal article
Open Access
International Workshop on Computational Intelligence for Multimedia Understanding
Moroni D, Trocan M, Prochazka A
Over 80 researchers from academia and industry attended a workshop on Computational Intelligence for Multimedia Understanding organized by the ERCIM MUSCLE Working Group in Prague, 29-30 October 2015.Source: ERCIM NEWS, p. 4
Moroni D, Trocan M, Prochazka A
Over 80 researchers from academia and industry attended a workshop on Computational Intelligence for Multimedia Understanding organized by the ERCIM MUSCLE Working Group in Prague, 29-30 October 2015.Source: ERCIM NEWS, p. 4
See at:
ercim-news.ercim.eu 
| CNR IRIS | CNR IRIS
2017
Journal article
Open Access
Advanced infrared technology and applications 2015
Moroni D, Raimondi V, Sakagami T
Source: MEASUREMENT SCIENCE & TECHNOLOGY (PRINT), vol. 28 (issue 4)
Moroni D, Raimondi V, Sakagami T
Source: MEASUREMENT SCIENCE & TECHNOLOGY (PRINT), vol. 28 (issue 4)
See at:
CNR IRIS | iopscience.iop.org | ISTI Repository | CNR IRIS
2018
Journal article
Open Access
International Workshop on Computational Intelligence for Multimedia Understanding
Moroni D, Toreyin Bu, Cetin Ae
Around twenty researchers attended the International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) organized annually by the working group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM), which took place as a satellite workshop to EUSIPCO-2017 held in Kos, Greece, September 2, 2017, with eleven original research papers. The IWCIM 2017 website is hosted by Istanbul Technical University and full-text papers may be accessed via MDPI Proceedings.Source: ERCIM NEWS, p. 57
Moroni D, Toreyin Bu, Cetin Ae
Around twenty researchers attended the International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) organized annually by the working group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM), which took place as a satellite workshop to EUSIPCO-2017 held in Kos, Greece, September 2, 2017, with eleven original research papers. The IWCIM 2017 website is hosted by Istanbul Technical University and full-text papers may be accessed via MDPI Proceedings.Source: ERCIM NEWS, p. 57
See at:
ercim-news.ercim.eu | CNR IRIS | ISTI Repository | CNR IRIS
2019
Book
Open Access
IWCIM: International Workshop on Computational Intelligence for Multimedia Understanding
Moroni D, Trocan M, Toreyin Bu
The International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) is the annual workshop organized by the working group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM). In this edition, IWCIM took place as a satellite workshop to SITIS 2019 held in Sorrento, Italy on November 26-29, 2019. Multimedia understanding is an essential part of many intelligent applications in our social life, be it in our households, or in commercial, industrial, service, and scientific environments. Analyzing raw data to provide them with semantics is essential to exploit their full potential and help us manage our everyday tasks. Nowadays, raw data usually come from a host of different sensors and other sources, and are different in nature, format, reliability and information content. Multimodal and cross-modal analysis are the only ways to use them at their best. Besides data analysis, this problem is also relevant to data description intended to help storage and mining. Interoperability and exchangeability of heterogeneous and distributed data is a need for any practical application. Semantics is information at the highest level, and inferring it from raw data (that is, from information at the lowest level) entails exploiting both data and prior information to extract structure and meaning.Computation, machine learning, statistical and Bayesian methods are tools to achieve this goal at various levels The scope of IWCIM 2019 includes, but is not limited to the following topics: oMultisensor systems oMultimodal analysis oCrossmodal data analysis and clustering oMixed-reality applications oActivity and object detection and recognition oText and speech recognition oMultimedia labeling, semantic annotation, and metadata oMultimodal indexing and searching in very large data-bases oBig and Linked Data oSearch and mining Big Data oLarge-scale recommendation systems oMultimedia and Multi-structured data oSemantic web and Linked Data oCase studies In this edition, 6 papers were submitted of which 4 have been accepted for oral presentation (acceptance ratio 66%).
Moroni D, Trocan M, Toreyin Bu
The International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) is the annual workshop organized by the working group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM). In this edition, IWCIM took place as a satellite workshop to SITIS 2019 held in Sorrento, Italy on November 26-29, 2019. Multimedia understanding is an essential part of many intelligent applications in our social life, be it in our households, or in commercial, industrial, service, and scientific environments. Analyzing raw data to provide them with semantics is essential to exploit their full potential and help us manage our everyday tasks. Nowadays, raw data usually come from a host of different sensors and other sources, and are different in nature, format, reliability and information content. Multimodal and cross-modal analysis are the only ways to use them at their best. Besides data analysis, this problem is also relevant to data description intended to help storage and mining. Interoperability and exchangeability of heterogeneous and distributed data is a need for any practical application. Semantics is information at the highest level, and inferring it from raw data (that is, from information at the lowest level) entails exploiting both data and prior information to extract structure and meaning.Computation, machine learning, statistical and Bayesian methods are tools to achieve this goal at various levels The scope of IWCIM 2019 includes, but is not limited to the following topics: oMultisensor systems oMultimodal analysis oCrossmodal data analysis and clustering oMixed-reality applications oActivity and object detection and recognition oText and speech recognition oMultimedia labeling, semantic annotation, and metadata oMultimodal indexing and searching in very large data-bases oBig and Linked Data oSearch and mining Big Data oLarge-scale recommendation systems oMultimedia and Multi-structured data oSemantic web and Linked Data oCase studies In this edition, 6 papers were submitted of which 4 have been accepted for oral presentation (acceptance ratio 66%).
See at:
CNR IRIS | ieeexplore.ieee.org | ISTI Repository | CNR IRIS | CNR IRIS | CNR IRIS
2022
Other
Open Access
AI-RIDE VISION
Leone Gr Righi M, Moroni D
AIRIDE VISION è un progetto di ricerca la cui finalità è lo sviluppo di un innovativo sistema di telemetria, basato su algoritmi di Computer Vision e Intelligenza Artificiale, in grado di riconoscere automaticamente, con grado di affidabilità variabile, delle specifiche penalità previste durante la fase pratica degli esami per il conseguimento della patente di guida per motocicli. Tale sistema non intende esprimere giudizi certi, bens?? essere di supporto per l'esaminatore umano nella valutazione del test di guida.DOI: 10.32079/isti-tr-2022/029
Metrics:
Leone Gr Righi M, Moroni D
AIRIDE VISION è un progetto di ricerca la cui finalità è lo sviluppo di un innovativo sistema di telemetria, basato su algoritmi di Computer Vision e Intelligenza Artificiale, in grado di riconoscere automaticamente, con grado di affidabilità variabile, delle specifiche penalità previste durante la fase pratica degli esami per il conseguimento della patente di guida per motocicli. Tale sistema non intende esprimere giudizi certi, bens?? essere di supporto per l'esaminatore umano nella valutazione del test di guida.DOI: 10.32079/isti-tr-2022/029
Metrics:
See at:
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2023
Journal article
Open Access
11th International Workshop on Computational Intelligence for Multimedia Understanding
Töreyin B, Trocan M, Moroni D
Source: ERCIM NEWS, vol. 134, p. 5
Töreyin B, Trocan M, Moroni D
Source: ERCIM NEWS, vol. 134, p. 5
See at:
ercim-news.ercim.eu | CNR IRIS | ISTI Repository | CNR IRIS
2021
Other
Open Access
Intelligent system and augmented reality for Industry 4.0
Moroni D
From the conference website (https://www.secpho.org/noticias/ai-for-industry-international-congress/): "Davide made an overview of extended reality across the smart factories in his presentation. And has described the 6th sense that humans can get: «Intution + Awarenes» wich is the result of the combination of Artificial Intelligence, Machine Learning and Intelligent Systems."
Moroni D
From the conference website (https://www.secpho.org/noticias/ai-for-industry-international-congress/): "Davide made an overview of extended reality across the smart factories in his presentation. And has described the 6th sense that humans can get: «Intution + Awarenes» wich is the result of the combination of Artificial Intelligence, Machine Learning and Intelligent Systems."
See at:
CNR IRIS | ISTI Repository | www.secpho.org | CNR IRIS
2023
Journal article
Open Access
Statement of peer Review
Cadelano G., Ferrarini G., Moroni D.
In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal. The single-blind review was performed on the conference management platform (https://eventi.rsi.cnr.it/e/AITA2023, accessed on 15 September 2023). The number of received submissions is 51, with 49 accepted submissions (96% acceptance rate). The average number of reviews per paper is three, and the total number of reviewers involved is 22 from 12 different institutions.Source: ENGINEERING PROCEEDINGS, vol. 51 (issue 1)
Cadelano G., Ferrarini G., Moroni D.
In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal. The single-blind review was performed on the conference management platform (https://eventi.rsi.cnr.it/e/AITA2023, accessed on 15 September 2023). The number of received submissions is 51, with 49 accepted submissions (96% acceptance rate). The average number of reviews per paper is three, and the total number of reviewers involved is 22 from 12 different institutions.Source: ENGINEERING PROCEEDINGS, vol. 51 (issue 1)
See at:
CNR IRIS | www.mdpi.com | CNR IRIS
2023
Journal article
Open Access
Guest Editorial on the special issue on the Role of Fuzzy Systems on Biomedical Science in Healthcare
Moroni D., Trocan M., Töreyin B. U.
Artificial neural networks (ANN) face challenges in the biomedical and health care sectors due to the elastic nature of biomedical data. This data requires a knowledge-centric approach rather than a purely data-centric one. Fuzzy systems efficiently handle the vagueness in medical big data, emulating human perception. These systems provide precise analysis for various medical situations, neutralizing uncertainties like varying disease patterns. They also support ranking populations based on health attributes, aiding in early prognosis and preventive medicine. This special issue is dedicated to focus on the recent advancements and applications of fuzzy systems within the area of healthcare data analysis. It has provided a platform for researchers to share innovative techniques andmethodologiesmore effectively. Through this issue,we aspire to stimulate discussions, foster collaborations and inspire further innovations in leveraging fuzzy systems for more nuanced, human-like interpretations of complex biomedical datasets. As technology evolves, healthcare and diagnostics keeps changing continously. Taking a look at the array of innovative methods, we observe a clear inclination towards deep learning and computational intelligence in diagnostics. For instance, the application of Computational intelligence for analysing CT images for lung cancer detection and the XlmNet, which uses an Extreme Learning Machine Algorithm for classifying lung cancer from histopathological images, both focus on early-stage detection of lung diseases. Their reliance on intricate computational techniques demonstrates a move towards more precise and early diagnostic procedures. On the other hand, we have algorithms like the Residual neural network-assisted one-class classification, specifically tailored for melanoma recognition in imbalanced datasets. It’s evident that there’s a conscious effort to tackle class imbalance issues, which have long been a hurdle in medical image analysis. Mental health and wellbeing are not left behind either. The “Smart Analysis of Anxiety People and Their Activities” and the “Classification Analysis of Burnout People’s Brain Images” both emphasize the growing role of technology in understanding and diagnosing psychological health issues. Similarly, kidney diseases, retinal issues, skin lesions, and other specific conditions are being targeted with specialized models like the Explainable Deep Learning Model for early-stage Chronic Kidney Disease prediction and the modified CNN for retina disease prediction, incorporating the strengths of SVM classifiers. Finally, the integration of ontology-based speculative sense models and hybrid methods like the SVM-ABC for gene expression data classification illustrates a blend of traditional computational methods with modern deep learning, enhancing accuracy and efficiency. We extend our heartfelt appreciation to the Editor-in-Chief of the journal for granting us the opportunity to organise this special issue. We would also like to express our gratitude to the authors and reviewers for their punctual and valuable contributions.We believe that this special issue will provide an additional valuable contribution to the research community.Source: COMPUTATIONAL INTELLIGENCE, vol. 39 (issue 6), pp. 928-929
Moroni D., Trocan M., Töreyin B. U.
Artificial neural networks (ANN) face challenges in the biomedical and health care sectors due to the elastic nature of biomedical data. This data requires a knowledge-centric approach rather than a purely data-centric one. Fuzzy systems efficiently handle the vagueness in medical big data, emulating human perception. These systems provide precise analysis for various medical situations, neutralizing uncertainties like varying disease patterns. They also support ranking populations based on health attributes, aiding in early prognosis and preventive medicine. This special issue is dedicated to focus on the recent advancements and applications of fuzzy systems within the area of healthcare data analysis. It has provided a platform for researchers to share innovative techniques andmethodologiesmore effectively. Through this issue,we aspire to stimulate discussions, foster collaborations and inspire further innovations in leveraging fuzzy systems for more nuanced, human-like interpretations of complex biomedical datasets. As technology evolves, healthcare and diagnostics keeps changing continously. Taking a look at the array of innovative methods, we observe a clear inclination towards deep learning and computational intelligence in diagnostics. For instance, the application of Computational intelligence for analysing CT images for lung cancer detection and the XlmNet, which uses an Extreme Learning Machine Algorithm for classifying lung cancer from histopathological images, both focus on early-stage detection of lung diseases. Their reliance on intricate computational techniques demonstrates a move towards more precise and early diagnostic procedures. On the other hand, we have algorithms like the Residual neural network-assisted one-class classification, specifically tailored for melanoma recognition in imbalanced datasets. It’s evident that there’s a conscious effort to tackle class imbalance issues, which have long been a hurdle in medical image analysis. Mental health and wellbeing are not left behind either. The “Smart Analysis of Anxiety People and Their Activities” and the “Classification Analysis of Burnout People’s Brain Images” both emphasize the growing role of technology in understanding and diagnosing psychological health issues. Similarly, kidney diseases, retinal issues, skin lesions, and other specific conditions are being targeted with specialized models like the Explainable Deep Learning Model for early-stage Chronic Kidney Disease prediction and the modified CNN for retina disease prediction, incorporating the strengths of SVM classifiers. Finally, the integration of ontology-based speculative sense models and hybrid methods like the SVM-ABC for gene expression data classification illustrates a blend of traditional computational methods with modern deep learning, enhancing accuracy and efficiency. We extend our heartfelt appreciation to the Editor-in-Chief of the journal for granting us the opportunity to organise this special issue. We would also like to express our gratitude to the authors and reviewers for their punctual and valuable contributions.We believe that this special issue will provide an additional valuable contribution to the research community.Source: COMPUTATIONAL INTELLIGENCE, vol. 39 (issue 6), pp. 928-929
See at:
CNR IRIS | onlinelibrary.wiley.com | CNR IRIS | CNR IRIS
2022
Journal article
Open Access
Statement of Peer Review
Bison P., Cadelano G., Ferrarini G., Moroni D.
Editorial of the the Proceedings of the 17th International Workshop on Advanced Infrared Technology and Applications published in Engineering ProceedingsSource: ENGINEERING PROCEEDINGS, vol. 8 (issue 1)
Bison P., Cadelano G., Ferrarini G., Moroni D.
Editorial of the the Proceedings of the 17th International Workshop on Advanced Infrared Technology and Applications published in Engineering ProceedingsSource: ENGINEERING PROCEEDINGS, vol. 8 (issue 1)
See at:
CNR IRIS | www.mdpi.com | CNR IRIS
2019
Contribution to conference
Open Access
Conoscenza della popolazione sulla radioprotezione e sulla dose radiante delle principali procedure radiologiche
Bastiani L, Salvadori S, Martinelli M, Moroni D, Paolicchi F, Caramella D
Nel corso degli ultimi decenni stiamo assistendo ad una rapida evoluzione delle tecniche di indagine radiologica, al fine di fornire prestazioni sempre più elevate e performanti. Il frequente e sistematico ricorso alle tecniche di diagnostica per immagini ha fatto sì che queste abbiano assunto il ruolo di strumento indispensabile per definire il corretto percorso terapeutico dei pazienti. Tutte queste metodiche tuttavia, se da un lato aumentano la capacità diagnostica delle procedure, dall'altro possono tendere ad esporre il paziente ad elevate quantità di radiazioni ionizzanti. Spesso il luogo comune associa alla parola "radiazioni" qualcosa di pericoloso. Limitata è però la consapevolezza relativa a quante radiazioni vengono impiegate per le diverse procedure diagnostiche e a quante ciascun individuo è quotidianamente esposto anche a causa del fondo naturale di radiazione.
Bastiani L, Salvadori S, Martinelli M, Moroni D, Paolicchi F, Caramella D
Nel corso degli ultimi decenni stiamo assistendo ad una rapida evoluzione delle tecniche di indagine radiologica, al fine di fornire prestazioni sempre più elevate e performanti. Il frequente e sistematico ricorso alle tecniche di diagnostica per immagini ha fatto sì che queste abbiano assunto il ruolo di strumento indispensabile per definire il corretto percorso terapeutico dei pazienti. Tutte queste metodiche tuttavia, se da un lato aumentano la capacità diagnostica delle procedure, dall'altro possono tendere ad esporre il paziente ad elevate quantità di radiazioni ionizzanti. Spesso il luogo comune associa alla parola "radiazioni" qualcosa di pericoloso. Limitata è però la consapevolezza relativa a quante radiazioni vengono impiegate per le diverse procedure diagnostiche e a quante ciascun individuo è quotidianamente esposto anche a causa del fondo naturale di radiazione.
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2007
Contribution to book
Restricted
A general approach to shape characterization for biomedical problems
Moroni D, Perner P, Salvetti O
In this paper, we present a general approach to shape characterization and deformation analysis of 2D/3D deformable visual objects. In particular, we define a reference dynamic model, encoding morphological and functional properties of an objects class, capable to analyze different scenarios in heart left ventricle analysis. The proposed approach is suitable for generalization to the analysis of periodically deforming anatomical structures, where it could provide useful support in medical diagnosis. Preliminary results in heart left ventricle analysis are discussed.
Moroni D, Perner P, Salvetti O
In this paper, we present a general approach to shape characterization and deformation analysis of 2D/3D deformable visual objects. In particular, we define a reference dynamic model, encoding morphological and functional properties of an objects class, capable to analyze different scenarios in heart left ventricle analysis. The proposed approach is suitable for generalization to the analysis of periodically deforming anatomical structures, where it could provide useful support in medical diagnosis. Preliminary results in heart left ventricle analysis are discussed.
See at:
CNR IRIS | CNR IRIS | www.springerlink.com
2008
Journal article
Open Access
Active video surveillance based on stereo and infrared imaging
Pieri G, Moroni D
Video surveillance is a very actual and critical issue at the present time. Within this topics, we address the problem of firstly identifying moving people in a scene through motion detection techniques, and subsequently categorising them in order to identify humans for tracking their movements. The use of stereo cameras, coupled with infrared vision, allows to apply this technique to images acquired through different and variable conditions, and allows an a priori filtering based on the characteristics of such images to give evidence to objects emitting a higher radiance (i.e., higher temperature).Source: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (ONLINE), vol. Article ID 380210
Pieri G, Moroni D
Video surveillance is a very actual and critical issue at the present time. Within this topics, we address the problem of firstly identifying moving people in a scene through motion detection techniques, and subsequently categorising them in order to identify humans for tracking their movements. The use of stereo cameras, coupled with infrared vision, allows to apply this technique to images acquired through different and variable conditions, and allows an a priori filtering based on the characteristics of such images to give evidence to objects emitting a higher radiance (i.e., higher temperature).Source: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (ONLINE), vol. Article ID 380210
See at:
asp.eurasipjournals.com | CNR IRIS | ISTI Repository | CNR IRIS
2008
Journal article
Restricted
Cohomology of affine artin groups and applications
Callegaro F, Moroni D, Salvetti M
The result of this paper is the determination of the cohomology of Artin groups of type A_n, B_n and A. _n with non-trivial local coefficients. The main result is an explicit computation of the cohomology of the Artin group of type B_n with coefficients over the module Q[q±1, t±1]. Here the first n - 1 standard generators of the group act by (-q)-multiplication, while the last one acts by (-t)-multiplication. The proof uses some technical results from previous papers plus computations over a suitable spectral sequence. The remaining cases follow from an application of Shapiro's lemma, by considering some well-known inclusions: we obtain the rational cohomology of the Artin group of affine type A. _n as well as the cohomology of the classical braid group Br_n with coefficients in the n-dimensional representation presented in Tong, Yang, and Ma (1996). The topological counterpart is the explicit construction of finite CW-complexes endowed with a free action of the Artin groups, which are known to be K(p, 1) spaces in some cases (including finite type groups). Particularly simple formulas for the Euler-characteristic of these orbit spaces are derived.Source: TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY, vol. 360 (issue 8), pp. 4169-4188
Callegaro F, Moroni D, Salvetti M
The result of this paper is the determination of the cohomology of Artin groups of type A_n, B_n and A. _n with non-trivial local coefficients. The main result is an explicit computation of the cohomology of the Artin group of type B_n with coefficients over the module Q[q±1, t±1]. Here the first n - 1 standard generators of the group act by (-q)-multiplication, while the last one acts by (-t)-multiplication. The proof uses some technical results from previous papers plus computations over a suitable spectral sequence. The remaining cases follow from an application of Shapiro's lemma, by considering some well-known inclusions: we obtain the rational cohomology of the Artin group of affine type A. _n as well as the cohomology of the classical braid group Br_n with coefficients in the n-dimensional representation presented in Tong, Yang, and Ma (1996). The topological counterpart is the explicit construction of finite CW-complexes endowed with a free action of the Artin groups, which are known to be K(p, 1) spaces in some cases (including finite type groups). Particularly simple formulas for the Euler-characteristic of these orbit spaces are derived.Source: TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY, vol. 360 (issue 8), pp. 4169-4188
See at:
CNR IRIS | CNR IRIS | www.ams.org
2010
Journal article
Restricted
The K(pi, 1) problem for the affine Artin group of type (B)over-tilde(n) and its cohomology
Callegaro F, Moroni D, Salvetti M
We prove that the complement to the affine complex arrangement of type (B) over tilde (n) is a K(pi, 1) space. We also compute the cohomology of the affine Artin group G (B) over tilde (n) ( of type (B) over tilde (n)) with coefficients in interesting local systems. In particular, we consider the module Q [q+/-1; t+/-1]; where the first n standard generators of G (B) over tilde (n) act by (-q)-multiplication while the last generator acts by (-t)-multiplication. Such a representation generalizes the analogous 1-parameter representation related to the bundle structure over the complement to the discriminant hypersurface, endowed with the monodromy action of the associated Milnor fibre. The cohomology of G (B) over tilde (n) with trivial coefficients is derived from the previous one.Source: JOURNAL OF THE EUROPEAN MATHEMATICAL SOCIETY, vol. 12, pp. 1-22
Callegaro F, Moroni D, Salvetti M
We prove that the complement to the affine complex arrangement of type (B) over tilde (n) is a K(pi, 1) space. We also compute the cohomology of the affine Artin group G (B) over tilde (n) ( of type (B) over tilde (n)) with coefficients in interesting local systems. In particular, we consider the module Q [q+/-1; t+/-1]; where the first n standard generators of G (B) over tilde (n) act by (-q)-multiplication while the last generator acts by (-t)-multiplication. Such a representation generalizes the analogous 1-parameter representation related to the bundle structure over the complement to the discriminant hypersurface, endowed with the monodromy action of the associated Milnor fibre. The cohomology of G (B) over tilde (n) with trivial coefficients is derived from the previous one.Source: JOURNAL OF THE EUROPEAN MATHEMATICAL SOCIETY, vol. 12, pp. 1-22
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2010
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Quantification of epicardial fat by cardiac CT imaging
Coppini G, Favilla R, Marraccini P, Moroni D, Pieri G
The aim of this work is to introduce and design image processing methods for the quantitative analysis of epicardial fat by using cardiac CT imaging. Indeed, epicardial fat has recently been shown to correlate with cardiovascular disease, cardiovascular risk factors and metabolic syndrome. However, many concerns still remain about the methods for measuring epicardial fat, its regional distribution on the myocardium and the accuracy and reproducibility of the measurements. In this paper, a method is proposed for the analysis of single-frame 3D images obtained by the standard acquisition protocol used for coronary calcium scoring. In the design of the method, much attention has been payed to the minimization of user intervention and to reproducibility issues. In particular, the proposed method features a two step segmentation algorithm suitable for the analysis of epicardial fat. In the first step of the algorithm, an analysis of epicardial fat intensity distribution is carried out in order to define suitable thresholds for a first rough segmentation. In the second step, a variational formulation of level set methods - including a specially-designed region homogeneity energy based on Gaussian mixture models- is used to recover spatial coherence and smoothness of fat depots. Experimental results show that the introduced method may be efficiently used for the quantification of epicardial fat.Source: THE OPEN MEDICAL INFORMATICS JOURNAL, vol. 4, pp. 126-135
Coppini G, Favilla R, Marraccini P, Moroni D, Pieri G
The aim of this work is to introduce and design image processing methods for the quantitative analysis of epicardial fat by using cardiac CT imaging. Indeed, epicardial fat has recently been shown to correlate with cardiovascular disease, cardiovascular risk factors and metabolic syndrome. However, many concerns still remain about the methods for measuring epicardial fat, its regional distribution on the myocardium and the accuracy and reproducibility of the measurements. In this paper, a method is proposed for the analysis of single-frame 3D images obtained by the standard acquisition protocol used for coronary calcium scoring. In the design of the method, much attention has been payed to the minimization of user intervention and to reproducibility issues. In particular, the proposed method features a two step segmentation algorithm suitable for the analysis of epicardial fat. In the first step of the algorithm, an analysis of epicardial fat intensity distribution is carried out in order to define suitable thresholds for a first rough segmentation. In the second step, a variational formulation of level set methods - including a specially-designed region homogeneity energy based on Gaussian mixture models- is used to recover spatial coherence and smoothness of fat depots. Experimental results show that the introduced method may be efficiently used for the quantification of epicardial fat.Source: THE OPEN MEDICAL INFORMATICS JOURNAL, vol. 4, pp. 126-135
See at:
CNR IRIS | CNR IRIS | www.ncbi.nlm.nih.gov