María de la Iglesia-Vayá

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Convolutional Neural Network

Medical Imaging

Top Venues

Artif. Intell. Medicine

Frontiers Neuroinformatics

Publications

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
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI. CoRR (2024)
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
DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI. CoRR (2024)
Paras Lakhani, J. Mongan, C. Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, T. 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
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging 36 (1) (2023)
Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Francisco García-García, Reinel Tabares-Soto, María de la Iglesia-Vayá
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model. IEEE Access 11 (2023)
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
Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review. Sensors 23 (16) (2023)
Jhon Jairo Sáenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarrés, Jon Ander Gómez, María de la Iglesia-Vayá
Automatic semantic segmentation of the lumbar spine: Clinical applicability in a multi-parametric and multi-center study on magnetic resonance images. Artif. Intell. Medicine 140 (2023)
José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Pierrick Coupé
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis. Frontiers Neuroinformatics 16 (2022)
Jhon Jairo Saenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarrez, Jon Ander Gómez, María de la Iglesia-Vayá
Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study. CoRR (2021)
Irene Pérez-Díez, Raúl Pérez-Moraga, Adolfo López-Cerdán, Jose-Maria Salinas-Serrano, María de la Iglesia-Vayá
De-identifying Spanish medical texts - named entity recognition applied to radiology reports. J. Biomed. Semant. 12 (1) (2021)
José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé
Blind MRI Brain Lesion Inpainting Using Deep Learning. SASHIMI@MICCAI (2020)
Aurelia Bustos, Antonio Pertusa, José María Salinas, María de la Iglesia-Vayá
PadChest: A large chest x-ray image dataset with multi-label annotated reports. Medical Image Anal. 66 (2020)
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
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. CoRR (2020)
María de la Iglesia-Vayá, José Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós, Germán González, José María Salinas
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. CoRR (2020)
Jhon Jairo Saenz-Gamboa, María de la Iglesia-Vayá, Jon Ander Gómez
Automatic Semantic Segmentation of Structural Elements related to the Spinal Cord in the Lumbar Region by using Convolutional Neural Networks. ICPR (2020)
Aurelia Bustos, Antonio Pertusa, José María Salinas, María de la Iglesia-Vayá
PadChest: A large chest x-ray image dataset with multi-label annotated reports. CoRR (2019)
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
BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR. MIE (2015)
José María Salinas, María de la Iglesia-Vayá, Luis Martí-Bonmatí, Rosa Valenzuela, Miguel Cazorla
R & D Cloud CEIB: Management System and Knowledge Extraction for Bioimaging in the Cloud. DCAI (2012)