Carmen Jiménez Mesa
Categoría
Doctor - OtrosContacto
carmenjvWkfo0P@ugr.es
Organismo
UGR
Researcher Profile
| Total | Desde 2019: | |
|---|---|---|
| Citas | Total: 684 | Desde 2019: 684 |
| Índice H | Total: 10 | Desde 2019: 10 |
| Índice i10 | Total: 10 | Desde 2019: 10 |
Publicaciones (27)
| Título | Autores | Año |
|---|---|---|
| Statistical Agnostic Regression: a machine learning method to validate regression models | JM Gorriz, J Ramirez, F Segovia, FJ Martinez-Murcia, C Jiménez-Mesa, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease | C Vázquez-García, FJ Martinez-Murcia, JE Arco, IA Illán, C Jiménez-Mesa, .... | 2024 |
| A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2024 |
| Bridging imaging and clinical scores in parkinson's progression via multimodal self-supervised deep learning | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Bridging Imaging and Clinical Scores in Parkinson's Progression Via Multimodal Self-Supervised Deep Learning. | FJ Martinez-Murcia, JE Arco, C Jimenez-Mesa, F Segovia, IA Illan, .... | 2024 |
| Using Explainable Artificial Intelligence in the Clock Drawing Test to reveal the cognitive impairment pattern | C Jimenez-Mesa, JE Arco, M Valenti-Soler, B Frades-Payo, .... | 2023 |
| Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders | E Heras, FJ Martinez-Murcia, IA Illán, C Jiménez-Mesa, D Castillo-Barnes, .... | 2023 |
| Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data | D Castillo-Barnes, FJ Martinez-Murcia, C Jimenez-Mesa, JE Arco, .... | 2023 |
| Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends | JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, .... | 2023 |
| Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects | C Jimenez-Mesa, JE Arco, FJ Martinez-Murcia, J Suckling, J Ramirez, .... | 2023 |
| Enhancing diagnostic accuracy in neuroimaging through machine learning: advancements in statistical classification and mapping | C Jiménez Mesa. | 2023 |
| MACHINE LEARNING IN SMALL SAMPLE NEUROIMAGING STUDIES: NOVEL MEASURES FOR SCHIZOPHRENIA ANALYSIS | J Suckling, G Murray, J Ramírez, C Jiménez-Mesa, JM Gorriz. | 2023 |
| Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images | D Castillo-Barnes, C Jimenez-Mesa, FJ Martinez-Murcia, .... | 2022 |
| Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test | C Jiménez-Mesa, JE Arco, M Valentí-Soler, B Frades-Payo, .... | 2022 |
| Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease | D Castillo-Barnes, JE Arco, C Jimenez-Mesa, J Ramirez, JM Górriz, .... | 2022 |
| CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources | D Castillo-Barnes, J Merino-Chica, R Garcia-Diaz, C Jimenez-Mesa, .... | 2022 |
| Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease | C Jimenez-Mesa, D Castillo-Barnes, JE Arco, F Segovia, J Ramirez, .... | 2022 |
| A non-parametric statistical inference framework for Deep Learning in current neuroimaging | C Jimenez-Mesa, J Ramirez, J Suckling, J Vöglein, J Levin, JM Gorriz, .... | 2022 |
| Standardization of Agnostic Learning Techniques in Neuroimaging: a Case Study in EEG | C Jimenez-Mesa, JM Peñalver, D Lopez-Garcia, J Ramirez, .... | 2022 |
| Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson’s Disease | D Castillo-Barnes, R Garcia-Diaz, J Merino-Chica, F Segovia, .... | 2022 |
| Analysis of the Neurological Hallmarks of COVID-19. A Multivariate Approach Using 18F-FDG-PET Data | F Segovia, J Ramírez, D Castillo-Barnes, C Jimenez-Mesa, .... | 2022 |
| A connection between pattern classification by machine learning and statistical inference with the General Linear Model | JM Gorriz, J Suckling, J Ramirez, C Jimenez-Mesa, F Segovia. | 2021 |
| Optimized One vs One approach in multiclass classification for early Alzheimer’s Disease and Mild Cognitive Impairment diagnosis | C Jiménez-Mesa, IA Illan, A Martín-Martín, D Castillo-Barnes, .... | 2020 |
| Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation | YD Zhang, Z Dong, SH Wang, X Yu, X Yao, Q Zhou, H Hu, M Li, .... | 2020 |
| Spatial Registration of Neuroimaging Data: Analysis of the Convenience of Performing Non-Affine Transformations | F Bayo, D Castillo-Barnes, D Salas-Gonzalez, C Jiménez-Mesa, .... | 2020 |
| Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers | J Rodrguez-Rivero, J Ramirez, FJ Martínez-Murcia, F Segovia, A Ortiz, .... | 2019 |
| Statistical Agnostic Mapping: A Framework In Neuroimaging Based On Concentration Inequalities | JM Gorriz, S Group. | 2019 |
| Compact modeling of the effects of illumination on the contact region of organic phototransistors | A Romero, C Jiménez, J González, P López-Varo, MJ Deen, .... | 2019 |
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