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ORCIDCarmen 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, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. 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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