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2020 – today
- 2024
[i7]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 abs/2401.07751 (2024)- [i6]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 abs/2401.12074 (2024) - 2023
- [j7]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: 118217-118228 (2023) - [j6]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: 102559 (2023) - [j5]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, 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): 365-372 (2023) - [j4]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): 7072 (2023) - [d4]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:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I. IEEE DataPort, 2023
- [d3]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:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part II. IEEE DataPort, 2023 - 2022
- [j3]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: 862805 (2022) - [c5]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:
Beyond the Brain: MIDS Extends BIDS to Multiple Modalities and Anatomical Regions. MIE 2022: 413-414 - [i5]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:
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review. CoRR abs/2206.05615 (2022) - 2021
- [j2]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): 6 (2021) - [d2]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:
BIMCV COVID-19-: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - [d1]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:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - [i4]Jhon Jairo Sáenz-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 abs/2111.08712 (2021) - 2020
- [j1]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: 101797 (2020) - [c4]Jhon Jairo Sáenz-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: 5214-5221 - [c3]José V. Manjón, José E. Romero, Roberto Vivó Hernando, Gregorio Rubio, Fernando Aparici-Robles, María de la Iglesia-Vayá, Thomas Tourdias, Pierrick Coupé:
Blind MRI Brain Lesion Inpainting Using Deep Learning. SASHIMI@MICCAI 2020: 41-49 - [i3]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:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. CoRR abs/2006.01174 (2020) - [i2]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 abs/2006.05274 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1901.07441 (2019) - 2015
- [c2]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:
BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR. MIE 2015: 987-989 - 2012
- [c1]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: 331-338
Coauthor Index
aka: Jose-Maria Salinas-Serrano
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