TDAM
Tratamiento de Datos y Aprendizaje Máquina
Publicacións (193) Publicacións nas que participase algún/ha investigador/a Ver datos de investigación referenciados.
2023
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A hybrid framework for efficient and accurate orientation estimation based on single and multiple orientation vector fields
Expert Systems with Applications, Vol. 231
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Analysis of the Asymmetry between Both Eyes in Early Diagnosis of Glaucoma Combining Features Extracted from Retinal Images and OCTs into Classification Models
Sensors, Vol. 23, Núm. 10
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Aplicación de MobileNet para el diagnóstico temprano del glaucoma: Un enfoque binocular
CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor
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Design of Wide-Beam Leaky-Wave Antenna Arrays Based on the Bilinear Transformation of IIR Digital Filters and the Z Transform
Advanced Theory and Simulations, Vol. 6, Núm. 12
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Improving the Learning of Superheterodyne Demodulation of Frequency-Division Multiplexing Signals via the Educational Software Tool DOSHER
Electronics (Switzerland), Vol. 12, Núm. 16
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Métodos de ayuda al diagnóstico de glaucoma basado en diferencias de características extraídas de ambos ojos en tomografías de coherencia óptica
CASEIB 2023. Libro de Actas del XLI Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Contribuyendo a la salud basada en valor
2022
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Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients
Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 507-515
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Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Decision Trees for Glaucoma Screening Based on the Asymmetry of the Retinal Nerve Fiber Layer in Optical Coherence Tomography
Sensors, Vol. 22, Núm. 13
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Double-Layer Stacked Denoising Autoencoders for Regression
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Improving Glaucoma Diagnosis Assembling Deep Networks and Voting Schemes
Diagnostics, Vol. 12, Núm. 6
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Improving hand gestures recognition capabilities by ensembling convolutional networks
Expert Systems, Vol. 39, Núm. 5
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PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment
Scientific Data
2021
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A SELF-TRAINING FRAMEWORK FOR GLAUCOMA GRADING IN OCT B-SCANS
European Signal Processing Conference
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Automatic segmentation of the retinal nerve fiber layer by means of mathematical morphology and deformable models in 2D optical coherence tomography imaging
Sensors, Vol. 21, Núm. 23
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Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks
Artificial Intelligence in Medicine, Vol. 118
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Comparative study of supervised machine learning color-based segmentation for object detection in x-ray baggage images for intelligent transportation systems
Advances in Science, Technology and Innovation (Springer Nature), pp. 89-98
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Complete Stacked Denoising Auto-Encoders for Regression
Neural Processing Letters, Vol. 53, Núm. 1, pp. 787-797
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Complete autoencoders for classification with missing values
Neural Computing and Applications, Vol. 33, Núm. 6, pp. 1951-1957