Zobrazeno 1 - 10
of 651
pro vyhledávání: '"A. Alberich-Bayarri"'
Autor:
Blanca Ferrer-Lores, Alfonso Ortiz-Algarra, Alfonso Picó-Peris, Alejandra Estepa-Fernández, Fuensanta Bellvís-Bataller, Glen J. Weiss, Almudena Fuster-Matanzo, Juan Pedro Fernández, Ana Jimenez-Pastor, Rafael Hernani, Ana Saus-Carreres, Ana Benzaquen, Laura Ventura, José Luis Piñana, Ana Belén Teruel, Alicia Serrano-Alcalá, Rosa Dosdá, Pablo Sopena-Novales, Aitana Balaguer-Rosello, Manuel Guerreiro, Jaime Sanz, Luis Martí-Bonmatí, María José Terol, Ángel Alberich-Bayarri
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Background This multicentre retrospective observational study aims to develop imaging-based prognostic and predictive models for relapsed/refractory (R/R) B-cell lymphoma patients undergoing CAR-T therapy by integrating clinical data and ima
Externí odkaz:
https://doaj.org/article/0057ba293b9c45989ef0c7a2fb4073b2
Autor:
J. Forner Giner, R. Sanz-Requena, N. Flórez, A. Alberich-Bayarri, G. García-Martí, A. Ponz, L. Martí-Bonmatí
Publikováno v:
Neurología (English Edition), Vol 29, Iss 2, Pp 68-75 (2014)
Objectives: The aim of this study was to evaluate the use of phase-contrast MR imaging to diagnose normal pressure hydrocephalus (NPH) and differentiate it from other neurological disorders with similar clinical symptoms. Methods: The study included
Externí odkaz:
https://doaj.org/article/858332e5123149bf838d1f4d458d6bde
Autor:
J. Forner Giner, R. Sanz-Requena, N. Flórez, A. Alberich-Bayarri, G. García-Martí, A. Ponz, L. Martí-Bonmatí
Publikováno v:
Neurología, Vol 29, Iss 2, Pp 68-75 (2014)
Resumen: Objetivos: El objetivo de este estudio es valorar si la RM en contraste de fase es una herramienta útil en el diagnóstico de la hidrocefalia a presión normal (HPN), así como su diferenciación con otras afecciones neurológicas muy simil
Externí odkaz:
https://doaj.org/article/93d24da093a5446f9a4b20d90878caa6
Autor:
Burak Kocak, Tugba Akinci D’Antonoli, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler, Ilaria Ambrosini, Anna E. Andreychenko, Spyridon Bakas, Regina G. H. Beets-Tan, Keno Bressem, Irene Buvat, Roberto Cannella, Luca Alessandro Cappellini, Armando Ugo Cavallo, Leonid L. Chepelev, Linda Chi Hang Chu, Aydin Demircioglu, Nandita M. deSouza, Matthias Dietzel, Salvatore Claudio Fanni, Andrey Fedorov, Laure S. Fournier, Valentina Giannini, Rossano Girometti, Kevin B. W. Groot Lipman, Georgios Kalarakis, Brendan S. Kelly, Michail E. Klontzas, Dow-Mu Koh, Elmar Kotter, Ho Yun Lee, Mario Maas, Luis Marti-Bonmati, Henning Müller, Nancy Obuchowski, Fanny Orlhac, Nikolaos Papanikolaou, Ekaterina Petrash, Elisabeth Pfaehler, Daniel Pinto dos Santos, Andrea Ponsiglione, Sebastià Sabater, Francesco Sardanelli, Philipp Seeböck, Nanna M. Sijtsema, Arnaldo Stanzione, Alberto Traverso, Lorenzo Ugga, Martin Vallières, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Robbert W. van Hamersvelt, Peter van Ooijen, Federica Vernuccio, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Alex Zwanenburg, Renato Cuocolo
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Purpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods We conducted an online modified Delphi study with a group of international experts.
Externí odkaz:
https://doaj.org/article/84735d3b21f949ab8a02d96fb603cc0c
Autor:
Nan, Yang, Del Ser, Javier, Walsh, Simon, Schönlieb, Carola, Roberts, Michael, Selby, Ian, Howard, Kit, Owen, John, Neville, Jon, Guiot, Julien, Ernst, Benoit, Pastor, Ana, Alberich-Bayarri, Angel, Menzel, Marion I., Walsh, Sean, Vos, Wim, Flerin, Nina, Charbonnier, Jean-Paul, van Rikxoort, Eva, Chatterjee, Avishek, Woodruff, Henry, Lambin, Philippe, Cerdá-Alberich, Leonor, Martí-Bonmatí, Luis, Herrera, Francisco, Yang, Guang
Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to im
Externí odkaz:
http://arxiv.org/abs/2201.06505
Autor:
Vicente Sanchis-Alfonso, María Beser-Robles, Amadeo Ten-Esteve, Cristina Ramírez-Fuentes, Ángel Alberich-Bayarri, Raúl Espert, Luis García-Larrea, Luis Martí-Bonmatí
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-11 (2023)
Abstract Background This study investigates the functional brain connectivity in patients with anterior knee pain (AKP). While biomechanical models are frequently employed to investigate AKP, it is important to recognize that pain can manifest even i
Externí odkaz:
https://doaj.org/article/9bb11c3b44574c9e9bc4a3314e78b054
Akademický článek
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Autor:
Leonor Cerdá-Alberich, Jimena Solana, Pedro Mallol, Gloria Ribas, Miguel García-Junco, Angel Alberich-Bayarri, Luis Marti-Bonmati
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-9 (2023)
Key points AI solutions have become an essential clinical tool in medical imaging. Standardised criteria are necessary to ensure quality of AI studies. Established criteria are often incomplete, too exhaustive, or not broadly applicable. A concise an
Externí odkaz:
https://doaj.org/article/0e512d8ec49e41b0a8c4338fa259cd1a
Autor:
Nandita M. deSouza, Aad van der Lugt, Christophe M. Deroose, Angel Alberich-Bayarri, Luc Bidaut, Laure Fournier, Lena Costaridou, Daniela E. Oprea-Lager, Elmar Kotter, Marion Smits, Marius E. Mayerhoefer, Ronald Boellaard, Anna Caroli, Lioe-Fee de Geus-Oei, Wolfgang G. Kunz, Edwin H. Oei, Frederic Lecouvet, Manuela Franca, Christian Loewe, Egesta Lopci, Caroline Caramella, Anders Persson, Xavier Golay, Marc Dewey, James P. B. O’Connor, Pim deGraaf, Sergios Gatidis, Gudrun Zahlmann, European Society of Radiology, European Organisation for Research and Treatment of Cancer
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-18 (2022)
Abstract Background Lesion/tissue segmentation on digital medical images enables biomarker extraction, image-guided therapy delivery, treatment response measurement, and training/validation for developing artificial intelligence algorithms and workfl
Externí odkaz:
https://doaj.org/article/f7b82b7c9476447e9c34cc5d0cacbeea
Autor:
David Marti-Aguado, Amadeo Ten-Esteve, Carlos Manuel Baracaldo-Silva, Ana Crespo, Elena Coello, Víctor Merino-Murgui, Matias Fernandez-Paton, Clara Alfaro-Cervello, Alba Sánchez-Martín, Mónica Bauza, Ana Jimenez-Pastor, Alexandre Perez-Girbes, Salvador Benlloch, Judith Pérez-Rojas, Víctor Puglia, Antonio Ferrández, Victoria Aguilera, Mercedes Latorre, Cristina Monton, Desamparados Escudero-García, Ignacio Bosch-Roig, Ángel Alberich-Bayarri, Luis Marti-Bonmati
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
ObjectiveTo assess the prevalence of pancreatic steatosis and iron overload in non-alcoholic fatty liver disease (NAFLD) and their correlation with liver histology severity and the risk of cardiometabolic diseases.MethodA prospective, multicenter stu
Externí odkaz:
https://doaj.org/article/5751656d58b14863a1f7f8d230f1d452