Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Alessandra, Retico"'
Autor:
Sara Saponaro, Francesca Lizzi, Giacomo Serra, Francesca Mainas, Piernicola Oliva, Alessia Giuliano, Sara Calderoni, Alessandra Retico
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Background: The integration of the information encoded in multiparametric MRI images can enhance the performance of machine-learning classifiers. In this study, we investigate whether the combination of structural and functional MRI might im
Externí odkaz:
https://doaj.org/article/95e49b4b3f694885875c848e78650032
Publikováno v:
Brain Informatics, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Machine Learning (ML) is nowadays an essential tool in the analysis of Magnetic Resonance Imaging (MRI) data, in particular in the identification of brain correlates in neurological and neurodevelopmental disorders. ML requires datasets of a
Externí odkaz:
https://doaj.org/article/8ef41a4d533b4180804530fb3cd0a6df
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7632 (2024)
The investigation of functional magnetic resonance imaging (fMRI) data with traditional machine learning (ML) and deep learning (DL) classifiers has been widely used to study autism spectrum disorders (ASDs). This condition is characterized by sympto
Externí odkaz:
https://doaj.org/article/6b88890d6d1f44588e98142479c17c5a
Autor:
Camilla Scapicchio, Andrea Chincarini, Elena Ballante, Luca Berta, Eleonora Bicci, Chandra Bortolotto, Francesca Brero, Raffaella Fiamma Cabini, Giuseppe Cristofalo, Salvatore Claudio Fanni, Maria Evelina Fantacci, Silvia Figini, Massimo Galia, Pietro Gemma, Emanuele Grassedonio, Alessandro Lascialfari, Cristina Lenardi, Alice Lionetti, Francesca Lizzi, Maurizio Marrale, Massimo Midiri, Cosimo Nardi, Piernicola Oliva, Noemi Perillo, Ian Postuma, Lorenzo Preda, Vieri Rastrelli, Francesco Rizzetto, Nicola Spina, Cinzia Talamonti, Alberto Torresin, Angelo Vanzulli, Federica Volpi, Emanuele Neri, Alessandra Retico
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-14 (2023)
Abstract Background The role of computed tomography (CT) in the diagnosis and characterization of coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We evaluated the performance of a software for quantitative analysis of chest
Externí odkaz:
https://doaj.org/article/c7bf35ba3d4644329a58313bbc82b18a
Autor:
Nicola Curreli, Matteo Bruno Lodi, Andrea Melis, Claudio Puddu, Sergio Casu, Alessandro Fanti, Nikola Djuric, Alessandra Retico, Giuseppe Mazzarella
Publikováno v:
IEEE Access, Vol 10, Pp 104589-104597 (2022)
Nowadays, MRI is focused on using ultra-high static magnetic fields (>7 T) to increase the signal-to-noise ratio. The use of high fields, on the other hand, requires novel technical solutions as well as more stringent design criteria for specific abs
Externí odkaz:
https://doaj.org/article/ac3e5a1f50494c6381b4552094aad3b7
Autor:
Martina Moglioni, Aafke Christine Kraan, Guido Baroni, Giuseppe Battistoni, Nicola Belcari, Andrea Berti, Pietro Carra, Piergiorgio Cerello, Mario Ciocca, Angelica De Gregorio, Micol De Simoni, Damiano Del Sarto, Marco Donetti, Yunsheng Dong, Alessia Embriaco, Maria Evelina Fantacci, Veronica Ferrero, Elisa Fiorina, Marta Fischetti, Gaia Franciosini, Giuseppe Giraudo, Francesco Laruina, Davide Maestri, Marco Magi, Giuseppe Magro, Etesam Malekzadeh, Michela Marafini, Ilaria Mattei, Enrico Mazzoni, Paolo Mereu, Alfredo Mirandola, Matteo Morrocchi, Silvia Muraro, Ester Orlandi, Vincenzo Patera, Francesco Pennazio, Marco Pullia, Alessandra Retico, Angelo Rivetti, Manuel Dionisio Da Rocha Rolo, Valeria Rosso, Alessio Sarti, Angelo Schiavi, Adalberto Sciubba, Giancarlo Sportelli, Sara Tampellini, Marco Toppi, Giacomo Traini, Antonio Trigilio, Serena Marta Valle, Francesca Valvo, Barbara Vischioni, Viviana Vitolo, Richard Wheadon, Maria Giuseppina Bisogni
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Morphological changes that may arise through a treatment course are probably one of the most significant sources of range uncertainty in proton therapy. Non-invasive in-vivo treatment monitoring is useful to increase treatment quality. The INSIDE in-
Externí odkaz:
https://doaj.org/article/a7200eed0039428a89e89730a804d63d
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6486 (2023)
Magnetic resonance imaging (MRI) nowadays plays an important role in the identification of brain underpinnings in a wide range of neuropsychiatric disorders, including Autism Spectrum Disorders (ASD). Characterizing the hallmarks in these pathologies
Externí odkaz:
https://doaj.org/article/f9fbd272fa774e7ba9d3576a8b2dc1d4
Autor:
Sara Saponaro, Alessia Giuliano, Roberto Bellotti, Angela Lombardi, Sabina Tangaro, Piernicola Oliva, Sara Calderoni, Alessandra Retico
Publikováno v:
NeuroImage: Clinical, Vol 35, Iss , Pp 103082- (2022)
Machine Learning (ML) techniques have been widely used in Neuroimaging studies of Autism Spectrum Disorders (ASD) both to identify possible brain alterations related to this condition and to evaluate the predictive power of brain imaging modalities.
Externí odkaz:
https://doaj.org/article/836e71292a6f4e5b83bb9528a5c4af57
Autor:
Merel C. Postema, Daan van Rooij, Evdokia Anagnostou, Celso Arango, Guillaume Auzias, Marlene Behrmann, Geraldo Busatto Filho, Sara Calderoni, Rosa Calvo, Eileen Daly, Christine Deruelle, Adriana Di Martino, Ilan Dinstein, Fabio Luis S. Duran, Sarah Durston, Christine Ecker, Stefan Ehrlich, Damien Fair, Jennifer Fedor, Xin Feng, Jackie Fitzgerald, Dorothea L. Floris, Christine M. Freitag, Louise Gallagher, David C. Glahn, Ilaria Gori, Shlomi Haar, Liesbeth Hoekstra, Neda Jahanshad, Maria Jalbrzikowski, Joost Janssen, Joseph A. King, Xiang Zhen Kong, Luisa Lazaro, Jason P. Lerch, Beatriz Luna, Mauricio M. Martinho, Jane McGrath, Sarah E. Medland, Filippo Muratori, Clodagh M. Murphy, Declan G. M. Murphy, Kirsten O’Hearn, Bob Oranje, Mara Parellada, Olga Puig, Alessandra Retico, Pedro Rosa, Katya Rubia, Devon Shook, Margot J. Taylor, Michela Tosetti, Gregory L. Wallace, Fengfeng Zhou, Paul M. Thompson, Simon E. Fisher, Jan K. Buitelaar, Clyde Francks
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Changes in brain structure asymmetry have been reported in autism spectrum disorder. Here the authors investigate this issue using a large-scale sample consisting of 54 data sets.
Externí odkaz:
https://doaj.org/article/a05a59682db2454cb3b8926856363910
Autor:
Guido Buonincontri, Jan W. Kurzawski, Joshua D Kaggie, Tomasz Matys, Ferdia A Gallagher, Matteo Cencini, Graziella Donatelli, Paolo Cecchi, Mirco Cosottini, Nicola Martini, Francesca Frijia, Domenico Montanaro, Pedro A. Gómez, Rolf F Schulte, Alessandra Retico, Michela Tosetti
Publikováno v:
NeuroImage, Vol 226, Iss , Pp 117573- (2021)
Magnetic resonance fingerprinting (MRF) is highly promising as a quantitative MRI technique due to its accuracy, robustness, and efficiency. Previous studies have found high repeatability and reproducibility of 2D MRF acquisitions in the brain. Here,
Externí odkaz:
https://doaj.org/article/5b2f15a0a27c4d67b3c0afaadd196fff