Fabio Martínez
Orcid: 0000-0001-7353-049X
According to our database1,
Fabio Martínez
authored at least 46 papers
between 2011 and 2024.
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Bibliography
2024
A non-aligned translation with a neoplastic classifier regularization to include vascular NBI patterns in standard colonoscopies.
Comput. Biol. Medicine, March, 2024
Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities.
Pattern Recognit. Lett., January, 2024
2023
Pattern Anal. Appl., May, 2023
An attentional unet with an auxiliary class learning to support acute ischemic stroke segmentation on CT.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Ischemic Stroke Segmentation from a Cross-Domain Representation in Multimodal Diffusion Studies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary Nodules.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
A local volumetric covariance descriptor for markerless Parkinsonian gait pattern quantification.
Multim. Tools Appl., 2022
A multimodal Parkinson quantification by fusing eye and gait motion patterns, using covariance descriptors, from non-invasive computer vision.
Comput. Methods Programs Biomed., 2022
Kinematic motion representation in Cine-MRI to support cardiac disease classification.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Towards reduction of expert bias on Gleason score classification via a semi-supervised deep learning strategy.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022
Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Non-Aligned Deep Representation to Enhance Standard Colonoscopy Observations from Vascular Narrow Band Polyp Patterns.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Parkinsonian Digital Biomarker Learned as an Anomaly Deep Generative Representation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
A convolutional oculomotor representation to model parkinsonian fixational patterns from magnified videos.
Pattern Anal. Appl., 2021
Visualising and quantifying relevant parkinsonian gait patterns using 3D convolutional network.
J. Biomed. Informatics, 2021
A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Towards understanding spatio-temporal parkinsonian patterns from salient regions of a 3D convolutional network.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
A Kinematic Gesture Representation Based on Shape Difference VLAD for Sign Language Recognition.
Proceedings of the Computer Vision and Graphics - International Conference, 2018
2017
Spatio-temporal multi-scale motion descriptor from a spatially-constrained decomposition for online action recognition.
IET Comput. Vis., 2017
2016
Action-centric Polar Representation of Motion Trajectories for Online Action Recognition.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
2015
Estimating the size of polyps during actual endoscopy procedures using a spatio-temporal characterization.
Comput. Medical Imaging Graph., 2015
A Gaussian Mixture Representation of Gesture Kinematics for On-Line Sign Language Video Annotation.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
2014
Representing activities with layers of velocity statistics for multiple human action recognition in surveillance applications.
Proceedings of the Video Surveillance and Transportation Imaging Applications 2014, 2014
2013
A Novel Right Ventricle Segmentation Approach from Local Spatio-temporal MRI Information.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
2012
A Robust Background Subtraction Algorithm using the a ∑-∆ Estimation - Applied to the Visual Analysis of Human Motion.
Proceedings of the VISAPP 2012, 2012
Local jet features and statistical models in a hybrid Bayesian framework for prostate estimation in CBCT images.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the GRAPP & IVAPP 2012: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications, 2012
2011
Pathology Classification of Gait Human Gestures.
Proceedings of the VISAPP 2011, 2011