Leonor Cerdá Alberich

According to our database, Leonor Cerdá Alberich authored at least 4 papers between 2021 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Artificial Intelligence on FDG PET Images Identifies Mild Cognitive Impairment Patients with Neurodegenerative Disease.

Joan Prats-Climent, Maria Teresa Gandia-Ferrero, Irene Torres-Espallardo, Lourdes Álvarez-Sanchez, Begoña Martínez-Sanchis, Consuelo Cháfer-Pericás, Ignacio Gómez-Rico, Leonor Cerdá Alberich, Fernando Aparici-Robles, Miquel Baquero-Toledo, María-José Rodríguez-Alvarez, Luis Martí-Bonmatí

J. Medical Syst., 2022

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.

Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang

Inf. Fusion, 2022

2021

MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging.

Matías Fernández Patón, Leonor Cerdá Alberich, Cinta Sangüesa Nebot, Blanca Martínez de las Heras, Diana Veiga Canuto, Adela Cañete Nieto, Luis Martí-Bonmatí

J. Digit. Imaging, 2021

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.

Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí

CoRR, 2021