Pedro M. Gordaliza
Pedro M. Gordaliza
Center for Biomedical Imaging (CIBM), Universidad Carlos III de Madrid
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Performance of ultra-high-frequency ultrasound in the evaluation of skin involvement in systemic sclerosis: a preliminary report
E Naredo, J Pascau, N Damjanov, G Lepri, PM Gordaliza, I Janta, ...
Rheumatology 59 (7), 1671-1678, 2020
Unsupervised CT lung image segmentation of a mycobacterium tuberculosis infection model
PM Gordaliza, A Muñoz-Barrutia, M Abella, M Desco, S Sharpe, ...
Scientific reports 8 (1), 9802, 2018
Dissimilarity in sulcal width patterns in the cortex can be used to identify patients with schizophrenia with extreme deficits in cognitive performance
J Janssen, CM Díaz-Caneja, C Alloza, A Schippers, L De Hoyos, ...
Schizophrenia bulletin 47 (2), 552-561, 2021
Association of visual and quantitative heterogeneity of 18F-FDG PET images with treatment response in locally advanced rectal cancer: A feasibility study
P Martin-Gonzalez, EG de Mariscal, ME Martino, PM Gordaliza, I Peligros, ...
PloS one 15 (11), e0242597, 2020
Computed tomography-based biomarker for longitudinal assessment of disease burden in pulmonary tuberculosis
PM Gordaliza, A Muñoz-Barrutia, LE Via, S Sharpe, M Desco, JJ Vaquero
Molecular Imaging and Biology 21, 19-24, 2019
Sex differences in lifespan trajectories and variability of human sulcal and gyral morphology
CM Díaz-Caneja, C Alloza, PM Gordaliza, A Fernández-Pena, ...
Cerebral Cortex 31 (11), 5107-5120, 2021
A multi-task self-normalizing 3D-CNN to infer tuberculosis radiological manifestations
PM Gordaliza, JJ Vaquero, S Sharpe, F Gleeson, A Munoz-Barrutia
arXiv preprint arXiv:1907.12331, 2019
Towards an informational model for tuberculosis lesion discrimination on X-ray CT images
PM Gordaliza, JJ Vaquero, S Sharpe, M Desco, A Muñoz-Barrutia
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Translational lung imaging analysis through disentangled representations
PM Gordaliza, JJ Vaquero, A Muñoz-Barrutia
arXiv preprint arXiv:2203.01668, 2022
ABLE: Automated Brain Lines Extraction Based on Laplacian Surface Collapse
A Fernández-Pena, D Martín de Blas, FJ Navas-Sánchez, L Marcos-Vidal, ...
Neuroinformatics 21 (1), 145-162, 2023
Longitudinal allometry of sulcal morphology in health and schizophrenia
J Janssen, C Alloza, CM Díaz-Caneja, J Santonja, L Pina-Camacho, ...
Journal of Neuroscience 42 (18), 3704-3715, 2022
Reduction of motion effects in myocardial arterial spin labeling
V Aramendía‐Vidaurreta, PM Gordaliza, M Vidorreta, ...
Magnetic Resonance in Medicine 87 (3), 1261-1275, 2022
Development and validation of an open source quantification tool for DSC-MRI studies
PM Gordaliza, JM Mateos-Pérez, P Montesinos, JA Guzmán-de-Villoria, ...
Computers in biology and medicine 58, 56-62, 2015
Radiomics for the Discrimination of Tuberculosis Lesions
PM Gordaliza, JJ Vaquero, S Sharpe, MD Menéndez
European Molecular Imaging Meeting, 2018
Estimation of Vertex-wise Sulcal Width Maps on Cortical Surfaces
A Fernández-Pena, FJ Navas-Sánchez, D Martín de Blas, L Marcos-Vidal, ...
bioRxiv, 2022.11. 09.515775, 2022
Tuberculosis lesions in CT images inferred using 3D-CNN and multi-task learning
PM Gordaliza, JJ Vaquero, S Sharpe, F Gleeson, A Muñoz-Barrutia
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Automatic segmentation of the myocardium in cardiac arterial spin labelling images using a deep learning model facilitates myocardial blood flow quantification
PM Gordaliza, V Aramendía‐Vidaurreta, JJ Vaquero, G Bastarrika, ...
Proc Intl Soc Mag Reson Med 27, 4794, 2019
Lesion Instance Segmentation in Multiple Sclerosis: Assessing the Efficacy of Statistical Lesion Splitting
M Wynen, PM Gordaliza, A Stölting, P Maggi, M Bach
ISMRM & ISMRT Annual Meeting & Exhibition, 2024
Computer-aided assessment of tuberculosis with radiological imaging: From rule-based methods to deep learning
PM Gordaliza
Universidad Carlos III de Madrid, 2022
Multi-modal segmentation for paramagnetic rim lesion detection in multiple sclerosis
M Wynen, PM Gordaliza, A Stölting, P Maggi, MB Cuadra, B Macq
Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and …, 2024
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