Biomedical Imaging

(CIPF - FISABIO) María de la Iglesia Vayá

THE JOINT RESEARCH UNIT BIOMEDICAL IMAGING UNIT FISABIO-CIPF IS SPECIALIZED IN ANONYMIZATION, CURATION AND PROCESSING OF MEDICAL IMAGE DATA THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE AND RADIOMICS TECHNIQUES.

The Biomedical Imaging and Artificial Intelligence Joint Unit FISABIO-CIPF is a leader in the curation and processing of medical image data, including anonymization, using advanced artificial intelligence and radiomics techniques. It heads the Medical Imaging Bank of the Valencian Region (BIMCV) and contributes to the BIDS standard (Brain Imaging Data Structure, a unified framework for organizing and describing neuroimaging data) by developing BEP025, which defines MIDS (Medical Population Imaging Data Structure, guidelines for population-level medical imaging data).

The Unit participates in national and international projects — among others — leading a work package of the European joint action e-Can+ and the national project Artemisa (Efficiency in Neurosurgery with Artificial Intelligence and Augmented Reality). It also collaborates in DeepHealth, TARTAGLIA and IMPaC-DATA, designing imaging datalakes and predictive models based on deep learning for segmentation, classification, anomaly detection, and multi-labeling of structures and pathologies. With over a decade of experience, it ensures regulatory compliance and best practices in medical data governance. Core innovation areas include large-scale clinical data analysis, radiomic biomarker extraction, and the development of AI agents for diagnostics, planning, and clinical workflow optimization using augmented reality.

PRESENTATION

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RESEARCH STAFF

THE PEOPLE WHO MAKE IT ALL POSSIBLE

María De La Iglesia Vayá
miglesia@cipf.es

Maria Luisa Caparrós Redondo

Elena Oliver García
eoliver@cipf.es

Joshua Bernal Salcedo

Marina Ramiro Fernández

Kateryna Kardash 

Sofía González Martínez

Jesús Alejandro Alzate Grisales

Alejandro Mora Rubio

Joaquim ángel Montell Serrano
jamontell@cipf.es

Jose Manuel Saborit Torres
jmsaborit@cipf.es

PUBLICATIONS

OUR SCIENTIFIC CONTRIBUTIONS

PadChest: A large chest x-ray image dataset with multi-label annotated reports.

Bustos A, Pertusa A, Salinas JM and de la Iglesia-Vayá M

MEDICAL IMAGE ANALYSIS 2020 Dec,  DOI:  10.1016/j.media.2020.101797,  Vol. 66,  pag. 101797-101797

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COVID-19 detection in X-ray images using convolutional neural networks.

Arias-Garzón D, Alzate-Grisales JA, Orozco-Arias S, Arteaga-Arteaga HB, Bravo-Ortiz MA, Mora-Rubio A, Saborit-Torres JM, Serrano JÁM, de la Iglesia Vayá M, Cardona-Morales O and Tabares-Soto R

Machine Learning With Applications 2021 Dec,  DOI:  10.1016/j.mlwa.2021.100138,  Vol. 6,  pag. 100138-100138

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Automatic semantic segmentation of the lumbar spine: Clinical applicability in a multi-parametric and multi-center study on magnetic resonance images.

Sáenz-Gamboa JJ, Domenech J, Alonso-Manjarrés A, Gómez JA and de la Iglesia-Vayá M

ARTIFICIAL INTELLIGENCE IN MEDICINE 2023 Jun,  DOI:  10.1016/j.artmed.2023.102559,  Vol. 140,  pag. 102559-102559

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The past, present, and future of the brain imaging data structure (BIDS).

Poldrack RA, Markiewicz CJ, Appelhoff S, Ashar YK, Auer T, Baillet S, Bansal S, Beltrachini L, Benar CG, Bertazzoli G, Bhogawar S, Blair RW, Bortoletto M, Boudreau M, Brooks TL, Calhoun VD, Castelli FM, Clement P, Cohen AL, Cohen-Adad J, D'Ambrosio S, de Hollander G, de la Iglesia-Vayá M, de la Vega A, Delorme A, Devinsky O, Draschkow D, Duff EP, DuPre E, Earl E, Esteban O, Feingold FW, Flandin G, Galassi A, Gallitto G, Ganz M, Gau R, Gholam J, Ghosh SS, Giacomel A, Gillman AG, Gleeson P, Gramfort A, Guay S, Guidali G, Halchenko YO, Handwerker DA, Hardcastle N, Herholz P, Hermes D, Honey CJ, Innis RB, Ioanas HI, Jahn A, Karakuzu A, Keator DB, Kiar G, Kincses B, Laird AR, Lau JC, Lazari A, Legarreta JH, Li A, Li X, Love BC, Lu H, Marcantoni E, Maumet C, Mazzamuto G, Meisler SL, Mikkelsen M, Mutsaerts H, Nichols TE, Nikolaidis A, Nilsonne G, Niso G, Norgaard M, Okell TW, Oostenveld R, Ort E, Park PJ, Pawlik M, Pernet CR, Pestilli F, Petr J, Phillips C, Poline JB, Pollonini L, Raamana PR, Ritter P, Rizzo G, Robbins KA, Rockhill AP, Rogers C, Rokem A, Rorden C, Routier A, Saborit-Torres JM, Salo T, Schirner M, Smith RE, Spisak T, Sprenger J, Swann NC, Szinte M, Takerkart S, Thirion B, Thomas AG, Torabian S, Varoquaux G, Voytek B, Welzel J, Wilson M, Yarkoni T and Gorgolewski KJ

Imaging Neuroscience (cambridge, Mass.) 2024 Mar,  DOI:  10.1162/imag_a_00103,  Vol. 2,  pag. 1-19

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Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging.

de la Iglesia-Vaya M

NEURON 2022 Jan,  DOI:  10.1016/j.neuron.2021.10.015,  Vol. 110,  pag. 16-20

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FUNDING

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