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Carmen Jimenez-Mesa
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2020 – today
- 2024
- [j11]Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Carmen Jimenez-Mesa, Fermín Segovia, Ignacio Álvarez, Javier Ramírez, Juan Manuel Górriz:
Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning. Int. J. Neural Syst. 34(8): 2450043:1-2450043:16 (2024) - [c6]Cristóbal Vázquez-García, Francisco Jesús Martínez-Murcia, Juan Eloy Arco, Ignacio A. Illán, Carmen Jiménez-Mesa, Javier Ramírez, Juan Manuel Górriz:
A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson's Disease. IWINAC 2024: 78-87 - [c5]Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz:
A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test. IWINAC 2024: 191-200 - [i3]Juan Manuel Górriz, J. Ramirez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Carmen Jiménez-Mesa, John Suckling:
Statistical Agnostic Regression: a machine learning method to validate regression models. CoRR abs/2402.15213 (2024) - 2023
- [j10]Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz:
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. Int. J. Neural Syst. 33(4): 2350015:1-2350015:16 (2023) - [j9]Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Carmen Jimenez-Mesa, Juan Eloy Arco, Diego Salas-Gonzalez, Javier Ramírez, J. M. Górriz:
Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data. Int. J. Neural Syst. 33(8): 2350041:1-2350041:20 (2023) - [j8]Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz:
A non-parametric statistical inference framework for Deep Learning in current neuroimaging. Inf. Fusion 91: 598-611 (2023) - [j7]J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [i2]E. Delgado de las Heras, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Carmen Jiménez-Mesa, Diego Castillo-Barnes, Javier Ramírez, Juan Manuel Górriz:
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders. CoRR abs/2305.07038 (2023) - 2022
- [j6]Diego Castillo-Barnes, Carmen Jimenez-Mesa, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, Javier Ramírez, Juan Manuel Górriz:
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images. Int. J. Neural Syst. 32(5): 2250019:1-2250019:16 (2022) - [j5]J. M. Górriz, Carmen Jimenez-Mesa, Fermín Segovia, Javier Ramírez, John Suckling:
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model. IEEE J. Biomed. Health Informatics 26(11): 5332-5343 (2022) - [c4]Diego Castillo-Barnes, Javier Merino-Chica, R. Garcia-Diaz, Carmen Jimenez-Mesa, Juan Eloy Arco, Javier Ramírez, J. M. Górriz:
CAD System for Parkinson's Disease with Penalization of Non-significant or High-Variability Input Data Sources. IWINAC (1) 2022: 23-33 - [c3]Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz:
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. IWINAC (1) 2022: 34-42 - [c2]Carmen Jimenez-Mesa, Diego Castillo-Barnes, Juan Eloy Arco, Fermín Segovia, Javier Ramírez, Juan Manuel Górriz:
Analyzing Statistical Inference Maps Using MRI Images for Parkinson's Disease. IWINAC (1) 2022: 166-175 - [c1]Diego Castillo-Barnes, Juan Eloy Arco, Carmen Jimenez-Mesa, Javier Ramírez, J. M. Górriz, Diego Salas-Gonzalez:
Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson's Disease. IWINAC (1) 2022: 176-186 - 2021
- [j4]Juan Manuel Górriz, Carmen Jimenez-Mesa, Rafael Romero-Garcia, Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Carlos García Puntonet, David López-García, Manuel Gómez-Río, John Suckling:
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. Inf. Fusion 66: 198-212 (2021) - [i1]Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN):
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. CoRR abs/2103.16685 (2021) - 2020
- [j3]Carmen Jimenez-Mesa, Ignacio Álvarez Illán, Alberto Martín-Martín, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Javier Ramírez, Juan Manuel Górriz:
Optimized One vs One Approach in Multiclass Classification for Early Alzheimer's Disease and Mild Cognitive Impairment Diagnosis. IEEE Access 8: 96981-96993 (2020) - [j2]Jacob Rodriguez-Rivero, Javier Ramírez, Francisco Jesús Martínez-Murcia, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio Álvarez Illán, Carlos García Puntonet, Carmen Jimenez-Mesa, F. J. Leiva, S. Carillo, John Suckling, Juan Manuel Górriz:
Granger causality-based information fusion applied to electrical measurements from power transformers. Inf. Fusion 57: 59-70 (2020) - [j1]Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jimenez-Mesa, Javier Ramírez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz:
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Inf. Fusion 64: 149-187 (2020)
Coauthor Index
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