R & D Cloud CEIB: Management System and Knowledge Extraction for Bioimaging in the Cloud. - José María Salinas; María de la Iglesia-Vayá; Luis Martí-Bonmatí; Rosa Valenzuela; Miguel Cazorla (DCAI, 2012)

BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR. - María de la Iglesia-Vayá; José María Salinas; Gonzalo M. Rojas; Juan-Carlos Perez-Cortes; Rafael Llobet; Miguel Cazorla; Jacobo Martínez; Luis Martí-Bonmatí; Ignacio Blanquer; Manuel Regaña; José Miguel Puig (MIE, 2015)

Automatic Semantic Segmentation of Structural Elements related to the Spinal Cord in the Lumbar Region by using Convolutional Neural Networks. - Jhon Jairo Sáenz-Gamboa; María de la Iglesia-Vayá; Jon Ander Gómez (ICPR, 2020)

Blind MRI Brain Lesion Inpainting Using Deep Learning. - José V. Manjón; José E. Romero; Roberto Vivó Hernando; Gregorio Rubio; Fernando Aparici-Robles; María de la Iglesia-Vayá; Thomas Tourdias; Pierrick Coupé (SASHIMI@MICCAI, 2020)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. - María de la Iglesia-Vayá; José Manuel Saborit; Joaquim Angel Montell-Serrano; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; Marisa Caparrós-Redondo; Germán González; et al. (CoRR, 2020)

UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. - Germán González; Aurelia Bustos; José María Salinas; María de la Iglesia-Vayá; Joaquin Galant; Carlos Cano-Espinosa; Xavier Barber; Domingo Orozco-Beltrán; Miguel Cazorla; Antonio Pertusa (CoRR, 2020)

PadChest: A large chest x-ray image dataset with multi-label annotated reports. - Aurelia Bustos; Antonio Pertusa; José María Salinas; María de la Iglesia-Vayá (Medical Image Anal., 2020)

De-identifying Spanish medical texts - named entity recognition applied to radiology reports. - Irene Pérez-Díez; Raúl Pérez-Moraga; Adolfo López-Cerdán; Jose-Maria Salinas-Serrano; María de la Iglesia-Vayá (J. Biomed. Semant., 2021)

Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study. - Jhon Jairo Sáenz-Gamboa; Julio Domenech; Antonio Alonso-Manjarrez; Jon Ander Gómez; María de la Iglesia-Vayá (CoRR, 2021)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; Marisa Caparrós-Redondo; et al. (IEEE DataPort, 2021)

BIMCV COVID-19-: a large annotated dataset of RX and CT images from COVID-19 patients. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; Marisa Caparrós-Redondo; et al. (IEEE DataPort, 2021)

Beyond the Brain: MIDS Extends BIDS to Multiple Modalities and Anatomical Regions. - José Manuel Saborit-Torres; Silvia Nadal-Almela; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Hector Carceller; Jon Ander Gómez-Ádrian; Marisa Caparrós-Redondo; Francisco García-García 002; Julio Domenech-Fernández; María de la Iglesia-Vayá (MIE, 2022)

Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review. - Harold Brayan Arteaga-Arteaga; Melissa delaPava; Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Jesús Alejandro Alzate-Grisales; Daniel Arias-Garzón; Luis Humberto López-Murillo; Felipe Buitrago-Carmona; Juan Pablo Villa Pulgarin; Esteban Mercado Ruiz; Simon Orozco-Arias; Mahmoud Hassaballah; et al. (CoRR, 2022)

vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis. - José V. Manjón; José E. Romero; Roberto Vivó Hernando; Gregorio Rubio; Fernando Aparici-Robles; María de la Iglesia-Vayá; Pierrick Coupé (Frontiers Neuroinformatics, 2022)

SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model. - Jesús Alejandro Alzate-Grisales; Alejandro Mora-Rubio; Francisco García-García 002; Reinel Tabares-Soto; María de la Iglesia-Vayá (IEEE Access, 2023)

Automatic semantic segmentation of the lumbar spine: Clinical applicability in a multi-parametric and multi-center study on magnetic resonance images. - Jhon Jairo Sáenz-Gamboa; Julio Domenech; Antonio Alonso-Manjarrés; Jon Ander Gómez; María de la Iglesia-Vayá (Artif. Intell. Medicine, 2023)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Marisa Caparrós-Redondo; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; et al. (IEEE DataPort, 2023)

The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. - Paras Lakhani; J. Mongan; Chinmay Singhal; Q. Zhou; Katherine P. Andriole; William F. Auffermann; Prasanth Prasanna; Theresa X. Pham; Michael Peterson; P. J. Bergquist; Tessa Sundaram Cook; S. F. Ferraciolli; et al. (J. Digit. Imaging, 2023)

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part II. - María de la Iglesia-Vayá; José Manuel Saborit-Torres; Joaquim Angel Montell-Serrano; Elena Oliver-Garcia; Marisa Caparrós-Redondo; Antonio Pertusa; Aurelia Bustos; Miguel Cazorla; Joaquin Galant; Xavier Barber; Domingo Orozco-Beltrán; Francisco García-García 002; et al. (IEEE DataPort, 2023)

Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review. - David Jiménez-Murillo; Andrés Eduardo Castro-Ospina; Leonardo Duque-Muñoz; Juan David Martínez-Vargas; Jazmín Ximena Suárez-Revelo; Jorge Mario Vélez-Arango; María de la Iglesia-Vayá (Sensors, 2023)

DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI. - Marina Ruiz-Perez; Sergio Morell-Ortega; Marien Gadea; Roberto Vivó Hernando; Gregorio Rubio; Fernando Aparici-Robles; María de la Iglesia-Vayá; Thomas Tourdias; Pierrick Coupé; José V. Manjón (CoRR, 2024)

DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI. - Sergio Morell-Ortega; Marina Ruiz-Perez; Marien Gadea; Roberto Vivó Hernando; Gregorio Rubio; Fernando Aparici-Robles; María de la Iglesia-Vayá; Gwenaelle Catheline; Pierrick Coupé; José V. Manjón (CoRR, 2024)

Leveraging Transformers-based models and linked data for deep phenotyping in radiology. - Lluís-F. Hurtado; Luis Marco-Ruiz; Encarna Segarra; María José Castro Bleda; Aurelia Bustos-Moreno; María de la Iglesia-Vayá; Juan Francisco Vallalta-Rueda (Comput. Methods Programs Biomed., 2025)

DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI. - Sergio Morell-Ortega; Marina Ruiz-Perez; Marien Gadea; Roberto Vivó Hernando; Gregorio Rubio; Fernando Aparici-Robles; María de la Iglesia-Vayá; Gwenaelle Catheline; Boris Mansencal; Pierrick Coupé; José V. Manjón (NeuroImage, 2025)

Ultra-high resolution multimodal MRI dense labelled holistic brain atlas. - José V. Manjón; Sergio Morell-Ortega; Marina Ruiz-Perez; Boris Mansencal; Edern Le Bot; Marien Gadea; Enrique Lanuza; Gwenaelle Catheline; Thomas Tourdias; Vincent Planche; Rémi Giraud; Denis Rivière; et al. (CoRR, 2025)