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2019 Other Open Access OPEN

Le radiazioni
Martinelli M., Bastiani L., Paolicchi F.
Una introduzione alle radiazioni - Materiale per Bright 2019

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2019 Conference object Open Access OPEN

Lo Stile di Vita del Frequentatore della Montagna
Martinelli M., Bastiani L., Valoti P., Agazzi G., Carrara B., Parigi G. B., Marina Malannino M., Spinelli A., Calderoli A., Orizio L., Righi M., Pardini F., Benassi A., D'Angelo G., Giardini G., Moroni D., Mrakic Sposta S., Pratali L.
La variazione dei frequentatori della montagna degli ultimi anni sta significativamente cambiando le problematiche del territorio montano: se da un lato aumenta il numero delle presenze temporanee (turisti, lavoratori, etc...), dall'altro diminuisce quello degli abitanti. Il primo, tra le varie, sta elevando il Male Acuto di alta Montagna (MAM) a problema di salute pubblica non trascurabile; il secondo porta ad una minore gestione del territorio generando problemi diretti ed indiretti, tra questi, favorito altresì dal riscaldamento globale, anche la proliferazione delle zecche. Questa ricerca ha esaminato in particolare I fattori di rischio individuale relativo allo stile di vita e al MAM.Source: XXI CONVEGNO NAZIONALE SIMeM, Arabba, 28/09/2019

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2019 Conference object Open Access OPEN

Male Acuto di Montagna: una App per Test di Autovalutazione
Martinelli M., Giardini G., Bastiani L., Agazzi G. C., Mrakic Sposta S., Pratali L.
Una applicazione sul Male Acuto di Montagna per il frequentatore delle montagneSource: XXI CONVEGNO NAZIONALE SIMeM 2019, Arabba, 28/9/2091

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2019 Other Open Access OPEN

Conoscenze Popolazione Radiazioni
Martinelli M., Bastiani L., Paolicchi F.
Sito web per il progetto "Conoscenze della popolazione sui rischi delle procedure radiologiche" dedicato alla raccolta e alla elaborazione dei dati per la valutazione delle conoscenze della popolazione in merito ai rischi delle procedure radiologiche e alla comprensione delle corrette modalità con cui comunicare tali rischi ai pazienti.

See at: ISTI Repository Open Access | radiazioni.isti.cnr.it | CNR People


2019 Article Open Access OPEN

Generalized bayesian model selection for speckle on remote sensing images
Karakus O., Kuruoglu E. E., Altinkaya M. A.
Synthetic aperture radar (SAR) and ultrasound (US) are two important active imaging techniques for remote sensing, both of which are subject to speckle noise caused by coherent summation of back-scattered waves and subsequent nonlinear envelope transformations. Estimating the characteristics of this multiplicative noise is crucial to develop denoising methods and to improve statistical inference from remote sensing images. In this paper, reversible jump Markov chain Monte Carlo (RJMCMC) algorithm has been used with a wider interpretation and a recently proposed RJMCMC-based Bayesian approach, trans-space RJMCMC, has been utilized. The proposed method provides an automatic model class selection mechanism for remote sensing images of SAR and US where the model class space consists of popular envelope distribution families. The proposed method estimates the correct distribution family, as well as the shape and the scale parameters, avoiding performing an exhaustive search. For the experimental analysis, different SAR images of urban, forest and agricultural scenes, and two different US images of a human heart have been used. Simulation results show the efficiency of the proposed method in finding statistical models for speckle.Source: IEEE transactions on image processing 28 (2019): 1748–1758. doi:10.1109/TIP.2018.2878322
DOI: 10.1109/TIP.2018.2878322

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2019 Report Open Access OPEN

Developing a Tele-Visit system in ACTIVAGE project
Carboni A.
The work described in this technical note is part of the technological development activities, for the year 2018, related to the H2020 project ACTIVAGE, a European Multi Centric Large Scale Pilot on Smart Living Environments.Project(s): ACTIVAGE via OpenAIRE

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2019 Report Unknown

Deep learning in precision agriculture
Martinelli M., Benassi A., Pardini F., Righi M., Salvetti O., Moroni D.
The work described in this research report is part of the activities carried out within the Scientific Collaboration between the Laboratory of Signals and Images at CNR-ISTI and CNR-IBIMET.

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2019 Other Unknown

Innovazione in telemedicina
Martinelli M.
Seminario sulle tecnologie innovative in telemedicina.

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2019 Other Unknown

Le Tecnologie Web - PCTO
Martinelli M.
Una introduzione a HTML e CSS con esercizi da svolgere - Materiale didattico per gli studenti del Liceo Scientifico Ulisse Dini di Pisa in ambito PCTO (ex alternanza scuola-lavoro).

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2019 Other Unknown

Deep Learning - PCTO
Martinelli M.
Materiale didattico per gli studenti del Liceo Scientifico Ulisse Dini di Pisa nell'ambito del PCTO 2019 (ex alternanza scuola-lavoro).

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2019 Conference object Unknown

Sequential Monte Carlo for studying effective connectivity in fMRI
Costagli M., Kuruoglu E., Ambrosi P., Buonincontri G., Biagi L., Tosetti M.
The signal fluctuations in Functional Magnetic Resonance Imaging (fMRI) have been proved suitable for investigating brain connectivity. Sequential Monte Carlo methods ("particle filters") aim at estimating internal states in dynamic systems when only partial and noisy observations are available. Differently from the majority of techniques commonly used for investigating brain connectivity, which assume stationarity, particle filters are designed for stochastic time-varying systems. We present a particle filtering algorithm tailored to fMRI data, whose purpose is to help assessing the presence of causal influences that certain brain areas may exert over others. The algorithm has been validated on a simulated network and applied to real fMRI data.Source: International Society for Magnetic Resonance in Medicine 27th Annual Meeting and Exhibition, Montreal, Canada, 11-15/5/2019

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2019 Other Unknown

Un salto nel futuro, oggi nel presente: la Telemedicina
Pratali L., Martinelli M.
Presentazione sulla telemedicina al Corso di Medicina di Montagna - Rifugio Casati (SO).

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2019 Conference object Unknown

Correlazione tra sintomatologia da reflusso e impatto fisico-socio- emozionale ed economico nel cantante
Nacci A., Pagani R., Bastiani L., Martinelli M., Berrettini S., Fattori B.
Correlare in un gruppo di cantanti la sintomatologia indicativa di reflusso faringo-laringeo (LPR) valutata attraverso il Reflux Symptom Index (RSI) con l'impatto fisico-socio-emozionale ed economico dei disturbi vocali studiato tramite l'indice S-VHI.Source: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019

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2019 Conference object Unknown

Nuove Frontiere nell'Analisi della Voce - Acquisizione e Classificazione dati
Nacci A., Pagani R., Fattori B., Bastiani L., Martinelli M.
Acquisizione e Classificazione datiSource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019

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2019 Conference object Unknown

Stato dell'Arte nell'Analisi della Voce
Bastiani L., Nacci A., Pagani R., Fattori B., Martinelli M.
STATO DELL'ARTE NELL'ANALISI DELLA VOCESource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019

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2019 Other Unknown

The LifeStyle of mountain-goers
Agazzi G, Pratali L., Mrakic Sposta S., Bastiani L, Valoti P., Carrara B, Parigi G. B., Malannino M., Spinelli A., Calderoli A., Orizio L., D'Angelo G., Giardini G., Martinelli M.
data collection progress Save the Mountains

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2019 Article Open Access OPEN

Remote sensing for maritime prompt monitoring
Reggiannini M., Righi M., Tampucci M., Lo Duca A., Bacciu C., Bedini L., D'Errico A., Di Paola C., Marchetti A., Martinelli M., Mercurio C., Salerno E., Zizi B.
The main purpose of this paper is to describe a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade pipeline of several image processing algorithms that input Radar or Optical imagery captured by satellite-borne sensors and try to identify vessel targets in the scene and provide quantitative descriptors about their shape and motion. This platform is innovative since it integrates in its architecture heterogeneous data and data processing solutions with the goal of identifying navigating vessels in a unique and completely automatic processing streamline. More in detail, the processing chain consists of: (i) the detection of target vessels in an input map; (ii) the estimation of each vessel's most descriptive geometrical and scatterometric (for radar images) features; (iii) the estimation of the kinematics of each vessel; (iv) the prediction of each vessel's forthcoming route; and (v) the visualization of the results in a dedicated webGIS interface. The resulting platform represents a novel tool to counteract unauthorized fishing and tackle irregular migration and the related smuggling activities.Source: Journal of marine science and engineering 7 (2019). doi:10.3390/jmse7070202
DOI: 10.3390/jmse7070202

See at: Journal of Marine Science and Engineering Open Access | Journal of Marine Science and Engineering Open Access | ISTI Repository Open Access | Journal of Marine Science and Engineering Open Access | DOI Resolver | CNR People | www.mdpi.com


2019 Conference object Open Access OPEN

Towards a behavior analysis of remote-sensed vessels
Reggiannini M., Salerno E., Martinelli M., Righi M., Tampucci M., Bedini L.
This paper analyzes the potentialities to classify vessels detected through optical and synthetic-aperture radar (SAR) satellite-borne platforms and estimate their motion. For classification, the discriminative power of a set of geometric features extracted from segmented remote-sensed images is valuated by clustering data derived from a set of accurate footprints belonging to either tanker or cargo ships. The same procedure is repeated on a few dozens of real, remote-sensed optical images. Concerning velocity estimation, which in this context is based on the detection and analysis of the wake pattern generated by the ship motion, a discussion concerning the accuracy of the wake detection task is presented. In particular, since wake patterns are usually hard to detect, a method is proposed to enhance the wake signal-to-noise ratio, based on a dedicated pre-filtering stage. Results returned by the proposed method are compared with those obtained adopting a standard literature approach, eventually observing that the introduction of the prefiltering stage improves the wake detection accuracy. A maritime surveillance system based on a pipeline of the modules described here represents a useful tool to support the authorities in charge of monitoring maritime traffic with safety, security and law enforcement purposes.Source: 15th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 595–602, Sorrento, Napoli, Italy, 26-29/11/2019
DOI: 10.1109/SITIS.2019.00100

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2019 Conference object Open Access OPEN

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.Source: BRIGHT 2019, 27/09/2019

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2019 Article Open Access OPEN

Estimation of the spatial chromatin structure based on a multiresolution bead-chain model
Caudai C., Salerno E., Zoppe M., Tonazzini A.
We present a method to infer 3D chromatin configurations from Chromosome Conformation Capture data. Quite a few methods have been proposed to estimate the structure of the nuclear DNA in homogeneous populations of cells from this kind of data. Many of them transform contact frequencies into Euclidean distances between pairs of chromatin fragments, and then reconstruct the structure by solving a distance-to-geometry problem. To avoid inconsistencies, our method is based on a score function that does not require any frequency-to-distance translation. We propose a multiscale chromatin model where the chromatin fibre is suitably partitioned at each scale. The partial structures are estimated independently, and connected to rebuild the whole fibre. Our score function consists in a data-fit part and a penalty part, balanced automatically at each scale and each subchain. The penalty part enforces "soft" geometric constraints. As many different structures can fit the data, our sampling strategy produces a set of solutions with similar scores. The procedure contains a few parameters, independent of both the scale and the genomic segment treated. The partition of the fibre, along with intrinsically parallel parts, make this method computationally efficient. Results from human genome data support the biological plausibility of our solutions.Source: IEEE/ACM transactions on computational biology and bioinformatics (Print) 16 (2019): 550–559. doi:10.1109/TCBB.2018.2791439
DOI: 10.1109/TCBB.2018.2791439

See at: ISTI Repository Open Access | DOI Resolver | ieeexplore.ieee.org | CNR People