Ana Jimenez-Pastor
21 Papers
Ana Jimenez-Pastor is an academic researcher. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 5, co-authored 8 publications.
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Papers
PRIMAGE project : predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers
Luis Martí-Bonmatí,Angel Alberich-Bayarri,Ruth Ladenstein,Ignacio Blanquer,J. Damian Segrelles,Leonor Cerdá-Alberich,Polyxeni Gkontra,Barbara Hero,José Manuel García-Aznar,Daniel A. Keim,Wolfgang Jentner,Karine Seymour,Ana Jimenez-Pastor,Ismael González-Valverde,Blanca Martínez de las Heras,Samira Essiaf,Dawn Walker,Michel Rochette,Marian Bubak,Jordi Mestres,Marco Viceconti,Gracia Martí-Besa,Adela Cañete,Paul Richmond,Kenneth Y. Wertheim,Tomasz Gubała,Marek Kasztelnik,Jan Meizner,Piotr Nowakowski,Salvador Gilpérez,Amelia Suárez,Mario Aznar,Giuliana Restante,Emanuele Neri +33 more
TL;DR: The decision support prototype will be constructed and validated on two paediatric cancers: neuroblastoma and diffuse intrinsic pontine glioma, and ready for translation to other malignant solid tumours.
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Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges.
G. Bruixola,Elena Remacha,Ana Jimenez-Pastor,Delfina Dualde,Alba Viala,Jose Vicente Montón,Maider Ibarrola-Villava,Maider Ibarrola-Villava,Angel Alberich-Bayarri,Andrés Cervantes +9 more
TL;DR: The application of imaging biomarkers in oncology is still in its infancy, but with the expansion of radiomics and radiogenomics a revolution is expected in this field as discussed by the authors.
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Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects
Haridimos Kondylakis,Varvara Kalokyri,Stelios Sfakianakis,Kostas Marias,Manolis Tsiknakis,Ana Jimenez-Pastor,Eduardo Camacho-Ramos,Ignacio Blanquer,J. Damian Segrelles,Sergio López-Huguet,Magdalena Kogut-Czarkowska,Gianna Tsakou,Nikolaos Siopis,Paschalis Bizopoulos,V. Drossou,Antonios Lalas,Konstantinos Votis,Pedro Mallol,Luis Martí-Bonmatí,L. Cerda Alberich,Karine Seymour,Esther Ciarrocchi,Lauren A. Fromont,Jordi Rambla,Alexander Harms,A. Gutierrez,Martijn P. A. Starmans,Fred W. Prior,Karim Lekadir +28 more
TL;DR: In this article , the authors present an overview of the development efforts highlighting challenges and approaches selected providing valuable feedback to future attempts in the area, and present an online European Union meta-tool-repository for cancer care provision.
The Aging Imageomics Study: rationale, design and baseline characteristics of the study population.
Josep Puig,Carles Biarnes,Salvador Pedraza,Joan C. Vilanova,Reinald Pamplona,José Manuel Fernández-Real,Ramon Brugada,Rafel Ramos,Gabriel Coll-de-Tuero,Laia Calvo-Perxas,Joaquín Serena,Lluís Ramió-Torrentà,Jordi Gich,Lluis Gallart,M. Portero-Otin,Angel Alberich-Bayarri,Ana Jimenez-Pastor,Eduardo Camacho-Ramos,Jordi Mayneris-Perxachs,Victor Pineda,Raquel Font,Anna Prats-Puig,Mariano-Luis Gacto,Gustavo Deco,Anira Escrichs,Bonaventura Clotet,Roger Paredes,Eugenia Negredo,Bruno Triaire,Manuel Rodríguez,Alberto Heredia-Escámez,R. Coronado,Wolter de Graaf,Valentin Prevost,Anca Mitulescu,Pepus Daunis-i-Estadella,Santiago Thió-Henestrosa,Felip Miralles,Vicent Ribas-Ripoll,Manel Puig-Domingo,Marco Essig,Chase R. Figley,Teresa D. Figley,Benedict C. Albensi,Ahmed Bilal Ashraf,Johan H. C. Reiber,Giovanni Schifitto,Uddin Md Nasir,Carlos Leiva-Salinas,Max Wintermark,Kambiz Nael,Joan Vilalta-Franch,Jordi Barretina,Josep Garre-Olmo +53 more
TL;DR: The Aging Imageomics Study aims to identify biomarkers of human aging by analyzing imaging, biopsychosocial, cardiovascular, metabolomic, lipidomic, and microbiomic variables, and to cultivate a deeper understanding about various biological factors that underlie healthy and unhealthy aging.
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Precise whole liver automatic segmentation and quantification of PDFF and R2* on MR images
Ana Jimenez-Pastor,Angel Alberich-Bayarri,Rafael López-González,David Martí-Aguado,Manuela França,Rodrigo San Martin Bachmann,Juan Mazzucco,Luis Martí-Bonmatí +7 more
TL;DR: In this paper, an encoder-decoder convolutional neural network (CNN) was used for the segmentation of whole liver parenchyma on multi-echo chemical shift encoded (MECSE) MR examinations.
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