María de la Iglesia-Vayá

According to our database, María de la Iglesia-Vayá authored at least 22 papers between 2012 and 2024.

Collaborative distances:

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

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

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

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, August, 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, Germán González, José María Salinas

Dataset, March, 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, C. 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, G. C. A. Corradi, MS Takahashi, C. S. Workman, Maansi R. Parekh, S. I. Kamel, Joaquin Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, Steve G. Langer, María de la Iglesia-Vayá, George Shih

J. Digit. Imaging, February, 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, Germán González, José María Salinas

Dataset, February, 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

SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model.

Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Francisco García-García, Reinel Tabares-Soto, María de la Iglesia-Vayá

IEEE Access, 2023

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

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, María de la Iglesia-Vayá, Oscar Cardona-Morales, Reinel Tabares-Soto

CoRR, 2022

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, Julio Domenech-Fernández, María de la Iglesia-Vayá

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

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, Marisa Caparrós-Redondo, Germán González, José María Salinas

Dataset, April, 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, Marisa Caparrós-Redondo, Germán González, José María Salinas

Dataset, March, 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

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

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

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

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, Marisa Caparrós-Redondo, Germán González, José María Salinas

CoRR, 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

Proceedings of the Simulation and Synthesis in Medical Imaging, 2020

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

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2015

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 Pérez-Cortes, Rafael Llobet, Miguel Cazorla, Jacobo Martínez, Luis Martí-Bonmatí, Ignacio Blanquer, Manuel Regaña, José Miguel Puig

Proceedings of the Digital Healthcare Empowering Europeans, 2015

2012

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

Proceedings of the Distributed Computing and Artificial Intelligence, 2012