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9. A method to analyze the evolution of malignant gliomas using MRI

Author

Iacono, Maria, Passera, Katia, Magrassi, Lorenzo, Mainardi, Luca, Bastianello, Stefano, and Lago, Paolo

Abstract

Abstract: Objective: To introduce a novel approach for the monitoring of glioma evolution by the extraction of mathematical parameters from follow-up MRI. Material and methods: The method consists of the registration of follow-up MR images and the analysis of the deformation field. The registration was performed through an affine transformation followed by a non-rigid registration using free-form deformations (FFDs). A subsequent analysis of the transformation non-linear component is then performed by using the jacobian operator in order to extract information related to tumor evolution. In order to test the algorithm’s performance two different validations were performed: (a) a numerical validation utilizing both physical and digital phantoms, (b) a clinical validation using neurosurgeon clinical judgements. Results: Quantitative validation showed that the jacobian describes the volumetric variations of the physical phantom with an error of 5%. Furthermore, simulations with a digital phantom provided an estimation of the error introduced by registration (6.4%). Clinical validation provided good clinical scores: the score evaluating the correspondence between extracted variables and patient evolution was 4.37  ±  0.89 for the deformation field and 4.43  ±  0.82 for the jacobian image (top score: 5). Conclusion: The novel approach leads to an objective and quantitative description of tumor evolution. Therefore, it could be valuable for planning interventions and/or treatments.

Published
2024
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10. Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021

Author

Achena, Flavia, Aggarwal, Akshay, Albanesi, Davide, Albertin, Giorgia, Alzetta, Chiara, Anselma, Luca, Aparaschivei, Lavinia, Archetti, Francesco, Barattieri di San Pietro, Chiara, Barrón-Cedeño, Alberto, Basile, Pierpaolo, Basile, Valerio, Basili, Roberto, Bellandi, Andrea, Bosco, Cristina, Bosque-Gil, Julia, Brunato, Dominique, Brutti, Alessio, Budeanu, Ancuta, Cabrio, Elena, Canazza, Sergio, Candelieri, Antonio, Caselli, Tommaso, Casola, Silvia, Cassotti, Pierluigi, Cattoni, Roldano, Cecchini, Flavio Massimiliano, Celli, Fabio, Cerulli, Aldo, Cettolo, Mauro, Chesi, Cristiano, Cignarella, Alessandra Teresa, Cimiano, Philipp, Cimino, Andrea, Colella, Annalisa, Croce, Danilo, Cutugno, Francesco, Dall’Acqua, Anna, Dangelo, Paolo, Dei Rossi, Stefano, Dell’Orletta, Felice, Demartini, Silvia, De Gemmis, Marco, De Mattei, Lorenzo, Dini, Irene, Di Bratto, Martina, di Buono, Maria Pia, Di Caro, Luigi, Di Liello, Luca, Di Maro, Maria, Dufaux, Alain, Duzha, Armend, Elahi, Mohammad Fazleh, Ell, Basil, Ernandes, Marco, Fabrizi, Samuel, Fallucchi, Francesca, Fantoli, Margherita, Fernández, Raquel, Ferrari, Pier Luigi, Ferrero, Dario, Ferri, Fabio, Fersini, Elisabetta, Florio, Komal, Flouris, Giorgos, Frenda, Simona, Frey, Jennifer-Carmen, Gattero, Valerio, Gemelli, Sara, Gemmis, Marco de, Giovannetti, Emiliano, Gismondi, Biancamaria, Grasso, Francesca, Grotto, Francesco, Iacono, Maria, Iovine, Andrea, Jansen, Lennert, Jezek, Elisabetta, Kaplan, Frédéric, Labruna, Tiziano, Lai, Mirko, Lavelli, Alberto, Lenci, Alessandro, Litta, Eleonora, Lombardi, Agnese, Lops, Pasquale, Louvan, Samuel, Luzietti, Roberta Bianca, Maffia, Marta, Magnini, Bernardo, Mahed Mousavi, Seyed, Mambrini, Francesco, Marchi, Simone, Marelli, Marco, Marra, Andrea, Martino, Maria De, Marziano, Giuseppe, Masini, Francesca, Mastromattei, Michele, Mattiola, Simone, Mazzei, Alessandro, Messina, Enza, Miaschi, Alessio, Minnema, Gosse, Montemagni, Simonetta, Moretti, Giovanni, Moschitti, Alessandro, Negri, Matteo, Negro, Roberto, Nicolas, Lionel, Nissim, Malvina, Nolano, Gennaro, Ògúnrẹ̀mí, Tolúlọpẹ, Onorati, Dario, Origlia, Antonio, Orrico, Riccardo, Paccosi, Teresa, Palmero Aprosio, Alessio, Papadakos, Panagiotis, Papantoniou, Katerina, Papi, Sara, Papini, Mafalda, Passaro, Lucia C., Passarotti, Marco, Patti, Viviana, Pezzelle, Sandro, Plank, Barbara, Plexousakis, Dimitris, Pretto, Niccolò, Puccinelli, Daniele, Ranaldi, Leonardo, Ravelli, Andrea Amelio, Reverberi, Carlo, Riccardi, Giuseppe, Rocchietti, Guido, Romani, Emma, Rosato, Luca, Rossi, Laura, Roth, Dan, Ruffolo, Paolo, Ruzzetti, Elena Sofia, Sabri, Nazanin, Salaris, Sara, Sanguinetti, Manuela, Schettino, Loredana, Schmalz, Veronica Juliana, Sciolette, Flavia, Semeraro, Giovanni, Siciliani, Lucia, Simi, Maria, Sinclair, Arabella, Sprugnoli, Rachele, Stemle, Egon W., Stranisci, Marco Antonio, Tamburini, Fabio, Terragni, Silvia, Tesei, Andrea, Tonelli, Sara, Tripodi, Rocco, Turchi, Marco, Uryupina, Olga, van der Goot, Margot J., Ventura, Viviana, Venturi, Giulia, Villata, Serena, Vorakitphan, Vorakit, Zanchi, Chiara, Zanzotto, Fabio Massimo, Zeman, Daniel, Zugarini, Andrea, Fersini, Elisabetta, Passarotti, Marco, and Patti, Viviana

Subjects
Computational Linguistics, linguistica, linguistique computationelle, Linguistics, LAN009000, CF, linguistica computazionale, linguistique, Language
Abstract

The eighth edition of the Italian Conference on Computational Linguistics (CLiC-it 2021) was held at Università degli Studi di Milano-Bicocca from 26th to 28th January 2022. After the edition of 2020, which was held in fully virtual mode due to the health emergency related to Covid-19, CLiC-it 2021 represented the first moment for the Italian research community of Computational Linguistics to meet in person after more than one year of full/partial lockdown.

Published
2022

11. A First Step Towards Automatic Consolidation of Legal Acts: Reliable Classification of Textual Modifications

Author

Fabrizi, Samuel, Iacono, Maria, Tesei, Andrea, and De Mattei, Lorenzo

Subjects
Computational Linguistics, linguistica, linguistique computationelle, Linguistics, linguistica computazionale, linguistique, Language
Abstract

The automatic consolidation of legal texts with the integration of its successive amendments and corrigenda might have an important practical impact on public institutions, citizens and organizations. This process involves two steps: a) the classification of the textual modifications in amendment acts and b) the integration within a single document of such modifications. In this work we propose a methodology to solve step a) by exploiting Machine Learning and Natural Language Process techniques on the Italian versions of European Regulations: our results suggest that the methodology we propose is a reliable first milestone toward the automatic consolidation of legal texts.

Published
2022

12. An Obligations Extraction System for Heterogeneous Legal Documents: Building and Evaluating Data and Model

Author

Iacono, Maria, Rossi, Laura, Dangelo, Paolo, Tesei, Andrea, and De Mattei, Lorenzo

Subjects
Computational Linguistics, linguistica, linguistique computationelle, Linguistics, linguistica computazionale, linguistique, Language
Abstract

A system that extracts obligations automatically from heterogeneous regulations could be of great help for a variety of stakeholders including financial institutions. In order to reach this goal, we propose a methodology to build a training set of regulations written in Italian coming from a set of different legal sources and a system based on a Transformer language model to solve this task. More importantly, we deep dive into the process of human and machine-learned annotations by carrying out both quantitative and manual evaluations of both of them.

Published
2022

17. ItaliaNLP @ TAG-IT: UmBERTo for Author Profiling at TAG-it 2020

Author

Occhipinti, Daniela, Tesei, Andrea, Iacono, Maria, Aliprandi, Carlo, and Mattei, Lorenzo De

Subjects
Language & Linguistics, Automatic Misogyny Identification, AlBERTo, BERT Model, Language Game ``La Ghigliottina'', MEME management, EVALITA, Convolutional Neural Network, LAN000000, Hate Speech Detection, CBX, linguistica computazionale, Misogyny on Twitter Posts, COVID-19 Infodemic, Multimodal Meme Detection
Abstract

In this paper we describe the systems we used to participate in the task TAG-it of EVALITA 2020. The first system we developed uses linear Support Vector Machine as learning algorithm. The other two systems are based on the pretrained Italian Language Model UmBERTo: one of them has been developed following the Multi-Task Learning approach, while the other following the Single-Task Learning approach. These systems have been evaluated on TAG-it official test sets and ranked first in all the TAG-it subtasks, demonstrating the validity of the approaches we followed.

Published
2021

18. EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

Author

Agerri, Rodrigo, Aliprandi, Carlo, Alkhalifa, Rabab, Alzetta, Chiara, Angel, Jason, Anselmi, Guido, Appiah Balaji, Nitin Nikamanth, Aroyehun, Segun Taofeek, Artigas Herold, Maria Fernanda, Attanasio, Giuseppe, Attardi, Giuseppe, Badryzlova, Yulia, Bai, Yang, Baldissin, Gioia, Ballarè, Silvia, Barrón-Cedeño, Alberto, Bartle, Anna-Sophie, Basile, Pierpaolo, Basile, Valerio, Basili, Roberto, Belotti, Federico, Bennici, Mauro, Bharathi, B., Bhuvana, J., Bianchi, Federico, Bisconti, Elia, Bolanos, Luis, Bondielli, Alessandro, Bosco, Cristina, Breazzano, Claudia, Brivio, Matteo, Brunato, Dominique, Cafagna, Michele, Caputo, Annalina, Caselli, Tommaso, Cassotti, Pierluigi, Castañeda, Enrique, Castro Castro, Daniel, Centeno, Roberto, Cercel, Dumitru-Clementin, Cerruti, Massimo, Chandrabose, Aravindan, Chesi, Cristiano, Chiarello, Filippo, Cignarella, Alessandra Teresa, Cimino, Andrea, Comandini, Gloria, Croce, Danilo, Dai, Hongbing, Dascalu, Mihai, Dell’Orletta, Felice, Delmonte, Rodolfo, Deng, Tao, De Francesco, Nazareno, De Martino, Graziella, De Mattei, Lorenzo, Di Buccio, Emanuele, Di Maro, Maria, di Nuovo, Elisa, Di Rosa, Emanuele, dos S.R. da Silva, Adriano, Durante, Alberto, El Abassi, Samer, Espinosa, María S., Fabrizi, Samuel, Fantoni, Gualtiero, Ferilli, Stefano, Ferraccioli, Federico, Fersini, Elisabetta, Finos, Livio, Fiorucci, Stefano, Fontana, Michele, Frenda, Simona, Gambino, Giuseppe, Gatt, Albert, Gelbukh, Alexander, Giorgi, Giulia, Giorgioni, Simone, Girardi, Paolo, Goria, Eugenio, Gregori, Lorenzo, Hoffmann, Julia, Iacono, Maria, Iovine, Andrea, Izzi, Giovanni Luca, Jimenez, Sergio, Kaiser, Jens, Kayalvizhi, S., Kivlichan, Ian, Klaus, Svea, Koceva, Frosina, Kovács, György, Kruschwitz, Udo, Labadie Tamayo, Roberto, Lai, Mirko, Laicher, Severin, Lapesa, Gabriella, Lavergne, Eric, Lebani, Gianluca E., Lees, Alyssa, Lenci, Alessandro, Leonardelli, Elisa, Li, Hongling, Liakata, Maria, Lovetere, Marco, Madonna, Domenico, Massidda, Riccardo, Mattei, Lorenzo De, Mauri, Caterina, Mele, Francesco, Melucci, Massimo, Menini, Stefano, Miaschi, Alessio, Miliani, Martina, Moggio, Alessio, Montagnani, Matteo, Montefinese, Maria, Montemagni, Simonetta, Monti, Johanna, Moraca, Maurizio, Moretti, Giovanni, Morra, Simone, Murphy, Killian, Muti, Arianna, Nakov, Preslav, Nisioi, Sergiu, Nissim, Malvina, Nozza, Debora, Occhipinti, Daniela, Ortega Bueno, Reynier, Ou, Xiaozhi, Palmonari, Matteo, Parizzi, Andrea, Pascucci, Antonio, Passaro, Lucia C., Pastor, Eliana, Patti, Viviana, Pirrone, Roberto, Polignano, Marco, Politi, Marcello, Pont, Mattia Da, Pražák, Ondřej, Přibáň, Pavel, Proisl, Thomas, Puccetti, Giovanni, Radicioni, Daniele P., Rama, Ilir, Rambelli, Giulia, Ravelli, Andrea Amelio, Rodrigo, Alvaro, Rodriguez-Diaz, Carlos A., Rodriguez Cisnero, Mariano Jason, Roman, Norton T., Roman, Norton Trevisan, Rossmann, Daniela, Rosso, Paolo, Rotaru, Armand Stefan, Rubino, Edoardo, Russo, Irene, Sabella, Gianluca, Saini, Rajkumar, Salman, Samir, Sangati, Federico, Sanguinetti, Manuela, Sarti, Gabriele, Schlechtweg, Dominik, Schulte im Walde, Sabine, Sciandra, Andrea, Setpal, Jinen, Siciliani, Lucia, Solari, Dario, Sorensen, Jeffrey, Sorgente, Antonio, Sprugnoli, Rachele, Stranisci, Marco, Tamburini, Fabio, Taylor, Stephen, Tesei, Andrea, Thenmozhi, D., Tonelli, Sara, Torre, Ilaria, Tsakalidis, Adam, Varvara, Rossella, Venturi, Giulia, Vettigli, Giuseppe, Vlad, George-Alexandru, Wang, Benyou, Zaharia, George-Eduard, Zamparelli, Roberto, Zubiaga, Arkaitz, Basile, Valerio, Croce, Danilo, Maro, Maria, and Passaro, Lucia C.

Subjects
Language & Linguistics, Automatic Misogyny Identification, AlBERTo, BERT Model, Language Game ``La Ghigliottina'', MEME management, EVALITA, Convolutional Neural Network, LAN000000, Hate Speech Detection, CBX, linguistica computazionale, Misogyny on Twitter Posts, COVID-19 Infodemic, Multimodal Meme Detection
Abstract

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it).

Published
2021

22. Construction and modeling of a reconfigurable MRI coil for lowering SAR in patients with deep brain stimulation implants

Author

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Golestanirad, Laleh, Iacono, Maria Ida, Keil, Boris, Angelone, Leonardo M., Bonmassar, Giorgio, Fox, Michael D., Herrington, Todd, Adalsteinsson, Elfar, LaPierre, Cristen, Mareyam, Azma, Wald, Lawrence L., Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Golestanirad, Laleh, Iacono, Maria Ida, Keil, Boris, Angelone, Leonardo M., Bonmassar, Giorgio, Fox, Michael D., Herrington, Todd, Adalsteinsson, Elfar, LaPierre, Cristen, Mareyam, Azma, and Wald, Lawrence L.

Abstract

Post-operative MRI of patients with deep brain simulation (DBS) implants is useful to assess complications and diagnose comorbidities, however more than one third of medical centers do not perform MRIs on this patient population due to stringent safety restrictions and liability risks. A new system of reconfigurable magnetic resonance imaging head coil composed of a rotatable linearly-polarized birdcage transmitter and a close-fitting 32-channel receive array is presented for low-SAR imaging of patients with DBS implants. The novel system works by generating a region with low electric field magnitude and steering it to coincide with the DBS lead trajectory. We demonstrate that the new coil system substantially reduces the SAR amplification around DBS electrodes compared to commercially available circularly polarized coils in a cohort of 9 patient-derived realistic DBS lead trajectories. We also show that the optimal coil configuration can be reliably identified from the image artifact on B 1+ field maps. Our preliminary results suggest that such a system may provide a viable solution for high-resolution imaging of DBS patients in the future. More data is needed to quantify safety limits and recommend imaging protocols before the novel coil system can be used on patients with DBS implants., NIH (Grants K99EB021320, R01EB006847, and P41EB015896)

Published
2020

26. PROPOSTA DE IMPLANTAÇÃO DE ESCRITÓRIO DE PROJETOS NA PREFEITURA DE UBIRATÃ.

Author

de Oliveira Iacono, Maria Luiza

Subjects
SUSTAINABLE development, CITIES & towns, CASE studies, OFFICES
Abstract

Copyright of Revista Competitividade e Sustentabilidade - ComSus is the property of Universidade Estadual do Oeste do Parana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2020

31. Minimal pruning increases the concentration of aromatic precursors in viognier grapes

Author

Etchebarne, Flor, Terblanche, Etienne, Iacono, Maria B., Leclercq, Lucile, Angenieux, Magaly, Saurin, Nicolas, Ojeda, Hernan, ProdInra, Migration, Unité expérimentale de Pech-Rouge (PECH ROUGE), Institut National de la Recherche Agronomique (INRA), Delheim Wine Estate, Partenaires INRAE, National University of Cuyo, Bodega Catena Zapata, and Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)

Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, aroma precursor, grape quality, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, training system, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, viognier
Abstract

National audience; Aromatic composition of grapes is essential to wine quality. A study was conducted over four years, under Mediterranean conditions in southern France, to assess the impact of different training systems on aromatic precursors in fruit of Viognier B. grapevines. Two training systems [vertical shoot positioning (VSP) and minimal pruning (MP)] were investigated during the 2010, 2011, 2013 and 2014 seasons. At harvest, 18 different compounds corresponding to 4 families of grape aromatic glycoside precursors were quantified in grapes and musts by Gas Chromatography with flame ionization detector (GC-FID): monoterpenes, C6 compounds, aromatic alcohols and C13-norisoprenoids (the latter only analysed in 2013 and 2014). MP significantly increased grape aromatic glycoside precursors concentrations, expressed in μg of 4 nonanol per kg of grapes, of C6 compounds (+38%), aromatic alcohols (+46%) and C13-norisoprenoids (+133%). The differences between MP and VSP were greater in 2014, a year with diminished potential of aromatic glycoside precursors (2014 < 2010

Published
2015

36. MIDA: a multimodal imaging-based detailed anatomical model of the human head and neck

Author

Iacono, Maria Ida, Neufeld, Esra, Akinnagbe, Esther, Bower, Kelsey, Wolf, Johanna, Vogiatzis Oikonomidis, Ioannis, Sharma, Deepika, Lloyd, Bryn, Wilm, Bertram J, Wyss, Michael, Pruessmann, Klaas P, Jakab, Andras, Makris, Nikos, Cohen, Ethan D, Kuster, Niels, Kainz, Wolfgang, Angelone, Leonardo M, Iacono, Maria Ida, Neufeld, Esra, Akinnagbe, Esther, Bower, Kelsey, Wolf, Johanna, Vogiatzis Oikonomidis, Ioannis, Sharma, Deepika, Lloyd, Bryn, Wilm, Bertram J, Wyss, Michael, Pruessmann, Klaas P, Jakab, Andras, Makris, Nikos, Cohen, Ethan D, Kuster, Niels, Kainz, Wolfgang, and Angelone, Leonardo M

Abstract

Computational modeling and simulations are increasingly being used to complement experimental testing for analysis of safety and efficacy of medical devices. Multiple voxel- and surface-based whole- and partial-body models have been proposed in the literature, typically with spatial resolution in the range of 1-2 mm and with 10-50 different tissue types resolved. We have developed a multimodal imaging-based detailed anatomical model of the human head and neck, named "MIDA". The model was obtained by integrating three different magnetic resonance imaging (MRI) modalities, the parameters of which were tailored to enhance the signals of specific tissues: i) structural T1- and T2-weighted MRIs; a specific heavily T2-weighted MRI slab with high nerve contrast optimized to enhance the structures of the ear and eye; ii) magnetic resonance angiography (MRA) data to image the vasculature, and iii) diffusion tensor imaging (DTI) to obtain information on anisotropy and fiber orientation. The unique multimodal high-resolution approach allowed resolving 153 structures, including several distinct muscles, bones and skull layers, arteries and veins, nerves, as well as salivary glands. The model offers also a detailed characterization of eyes, ears, and deep brain structures. A special automatic atlas-based segmentation procedure was adopted to include a detailed map of the nuclei of the thalamus and midbrain into the head model. The suitability of the model to simulations involving different numerical methods, discretization approaches, as well as DTI-based tensorial electrical conductivity, was examined in a case-study, in which the electric field was generated by transcranial alternating current stimulation. The voxel- and the surface-based versions of the models are freely available to the scientific community.

Published
2015

37. MIDA: A Multimodal Imaging-Based Detailed Anatomical Model of the Human Head and Neck

Author

Iacono, Maria Ida, primary, Neufeld, Esra, additional, Akinnagbe, Esther, additional, Bower, Kelsey, additional, Wolf, Johanna, additional, Vogiatzis Oikonomidis, Ioannis, additional, Sharma, Deepika, additional, Lloyd, Bryn, additional, Wilm, Bertram J., additional, Wyss, Michael, additional, Pruessmann, Klaas P., additional, Jakab, Andras, additional, Makris, Nikos, additional, Cohen, Ethan D., additional, Kuster, Niels, additional, Kainz, Wolfgang, additional, and Angelone, Leonardo M., additional

Published
2015
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40. Computational platform combining detailed and precise functionalized anatomical phantoms with EM-Neuron interaction modeling

Author

Neufeld, Esra, primary, Iacono, Maria I., additional, Akinnagbe, Esther, additional, Wolf, Johanna, additional, Oikonomidis, Ioannis V., additional, Sharma, Deepika, additional, Wilm, Bertram, additional, Wyss, Michael, additional, Jakab, Andras, additional, Cohen, Ethan, additional, Kuster, Niels, additional, Kainz, Wolfgang, additional, and Angelone, Leonardo M, additional

Published
2014
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44. Dual energy pulses for Electrical Impedance Spectroscopy with the stochastic Gabor function.

Author

Bonmassar, Giorgio, Iacono, Maria Ida, and Lev, Michael H.

Abstract

This paper introduces the stochastic Gabor function (SGF), an excitation waveform that can be used to design optimal excitation pulses for Electrical Impedance Spectroscopy (EIS) of the brain. The SGF is a Gaussian function modulated by uniformly distributed noise; it has wide frequency spectrum representation regardless of the stimuli pulse length. The SGF was studied in the time-frequency domain. As shown by frequency concentration measurements, the SGF is least compact in the sample frequency phase plane. Numerical results obtained by using a realistic human head model indicate that the SGF may allow for both shallow and deeper tissue penetration than is currently obtainable with conventional stimulus paradigms, potentially facilitating tissue subtraction assessment of parenchymal dielectric changes in frequency. This could be of value in advancing EIS of stroke and hemorrhage. [ABSTRACT FROM PUBLISHER]

Published
2012
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