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ORCIDFabio Martínez
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2020 – today
- 2024
[j13]Edward Sandoval, Juan A. Olmos, Fabio Martínez
:
A self-supervised deep Riemannian representation to classify parkinsonian fixational patterns. Artif. Intell. Medicine 157: 102987 (2024)- [j12]Yesid Gutiérrez, John Arevalo, Fabio Martínez:
A contrastive weakly supervised learning to characterize malignant prostate lesions in BP-MRI. Biomed. Signal Process. Control. 96: 106584 (2024) - [j11]Franklin Sierra-Jerez, Fabio Martínez:
A non-aligned translation with a neoplastic classifier regularization to include vascular NBI patterns in standard colonoscopies. Comput. Biol. Medicine 170: 108008 (2024) - [j10]Juan A. Olmos, Antoine Manzanera, Fabio Martínez:
Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities. Pattern Recognit. Lett. 177: 157-163 (2024) - [i3]Lina Ruiz, Franklin Sierra-Jerez, Jair Ruiz, Fabio Martínez:
COLON: The largest COlonoscopy LONg sequence public database. CoRR abs/2403.00663 (2024) - 2023
- [j9]Santiago Niño, Juan A. Olmos, Juan C. Galvis, Fabio Martínez:
Parkinsonian gait patterns quantification from principal geodesic analysis. Pattern Anal. Appl. 26(2): 679-689 (2023) - [c33]Yesid Gutiérrez, Juan A. Olmos, Luis Guayacán, Fabio Martínez:
A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion Classification. ISBI 2023: 1-4 - [c32]Alejandra Moreno, Juan A. Olmos, Luis Guayacán, Fabio Martínez:
Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary Nodules. ISBI 2023: 1-4 - [c31]Alejandra Moreno, Andrea Rueda, Fabio Martínez:
A volumetric multi-head attention strategy for lung nodule classification in CT. Computer-Aided Diagnosis 2023 - [c30]Santiago Gómez, Daniel Mantilla, Brayan Valenzuela, Andres Ortiz, Daniela D. Vera, Paúl Camacho, Fabio Martínez:
Ischemic Stroke Segmentation from a Cross-Domain Representation in Multimodal Diffusion Studies. MICCAI (4) 2023: 776-785 - [c29]Santiago Castro, David Romo-Bucheli, Luis Guayacán, Fabio Martínez:
Fast detection and localization of mitosis using a semi-supervised deep representation. Digital and Computational Pathology 2023 - [c28]Santiago Gómez, Sebastian Florez, Daniel Mantilla, Paúl Camacho, Nick Tarazona, Fabio Martínez:
An attentional unet with an auxiliary class learning to support acute ischemic stroke segmentation on CT. Image Processing 2023 - [i2]Edgar Rangel, Fabio Martínez:
Parkinson gait modelling from an anomaly deep representation. CoRR abs/2301.11418 (2023) - [i1]Santiago Gómez, Daniel Mantilla, Gustavo Garzón, Edgar Rangel, Andres Ortiz, Franklin Sierra-Jerez, Fabio Martínez:
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge. CoRR abs/2309.15243 (2023) - 2022
- [j8]Alejandra Moreno, Jefferson Rodríguez, Fabio Martínez:
Kinematic motion representation in Cine-MRI to support cardiac disease classification. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(6): 707-718 (2022) - [j7]John Archila, Antoine Manzanera, Fabio Martínez:
A multimodal Parkinson quantification by fusing eye and gait motion patterns, using covariance descriptors, from non-invasive computer vision. Comput. Methods Programs Biomed. 215: 106607 (2022) - [j6]Oscar Mendoza, Fabio Martínez, Juan A. Olmos:
A local volumetric covariance descriptor for markerless Parkinsonian gait pattern quantification. Multim. Tools Appl. 81(21): 30733-30748 (2022) - [c27]Franklin Sierra-Jerez, Jair Ruiz, Fabio Martínez:
A Non-Aligned Deep Representation to Enhance Standard Colonoscopy Observations from Vascular Narrow Band Polyp Patterns. EMBC 2022: 1671-1674 - [c26]Gustavo Garzón, Santiago Gómez, Daniel Mantilla, Fabio Martínez:
A deep CT to MRI unpaired translation that preserve ischemic stroke lesions. EMBC 2022: 2708-2711 - [c25]Juan A. Olmos, Fabio Martínez:
A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns. EMBC 2022: 3538-3541 - [c24]Lina Ruiz, Fabio Martínez:
Weakly Supervised Polyp Segmentation from an Attention Receptive Field Mechanism. EMBC 2022: 3745-3748 - [c23]Edgar Rangel, Fabio Martínez:
A Parkinsonian Digital Biomarker Learned as an Anomaly Deep Generative Representation. EMBC 2022: 4188-4191 - [c22]Brayan Valenzuela, John Arevalo, William Contreras, Fabio Martínez:
A Spatio-Temporal Hypomimic Deep Descriptor to Discriminate Parkinsonian Patients. EMBC 2022: 4192-4195 - [c21]Juan A. Olmos, Juan C. Galvis, Fabio Martínez:
Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis. IBERAMIA 2022: 3-14 - [c20]Juan A. Olmos, Antoine Manzanera, Fabio Martínez:
An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian Representation. ICPRAI (1) 2022: 677-687 - [c19]Alejandra Moreno, Andrea Rueda, Fabio Martínez:
A Multi-Scale Self-Attention Network to Discriminate Pulmonary Nodules. ISBI 2022: 1-4 - [c18]Miguel Plazas, Raúl Ramos-Pollán, Fabian León, Fabio Martínez:
Towards reduction of expert bias on Gleason score classification via a semi-supervised deep learning strategy. Image Processing 2022 - 2021
- [j5]Jefferson Rodríguez, Fabio Martínez:
How important is motion in sign language translation? IET Comput. Vis. 15(3): 224-234 (2021) - [j4]Luis Carlos Guayacán, Fabio Martínez:
Visualising and quantifying relevant parkinsonian gait patterns using 3D convolutional network. J. Biomed. Informatics 123: 103935 (2021) - [j3]Isail Salazar, Said Pertuz, William Contreras, Fabio Martínez:
A convolutional oculomotor representation to model parkinsonian fixational patterns from magnified videos. Pattern Anal. Appl. 24(2): 445-457 (2021) - [c17]Fabian León, Fabio Martínez:
Learning a Triplet Embedding Distance to Represent Gleason Patterns. EMBC 2021: 3229-3232 - [c16]Henry Peña, Santiago Gómez, David Romo-Bucheli, Fabio Martínez:
Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors. EMBC 2021: 5570-5573 - [c15]Jefferson Rodríguez, David Romo-Bucheli, Franklin Sierra, Diana Valenzuela, Carolina Valenzuela, Lina Vasquez, Paúl Camacho, Daniel Mantilla, Fabio Martínez:
A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans. ISBI 2021: 1665-1668 - 2020
- [c14]Jefferson Rodríguez, Juan Chacón, Edgar Rangel, Luis Guayacán, Claudia Hernández, Luisa Hernández, Fabio Martínez:
Understanding Motion in Sign Language: A New Structured Translation Dataset. ACCV (6) 2020: 669-684 - [c13]Franklin Sierra, Yesid Gutiérrez, Fabio Martínez:
An online deep convolutional polyp lesion prediction over Narrow Band Imaging (NBI). EMBC 2020: 2412-2415 - [c12]Luis Carlos Guayacán, Edgar Rangel, Fabio Martínez:
Towards understanding spatio-temporal parkinsonian patterns from salient regions of a 3D convolutional network. EMBC 2020: 3688-3691
2010 – 2019
- 2019
- [c11]Isail Salazar, Said Pertuz, William Contreras, Fabio Martínez:
Parkinsonian Ocular Fixation Patterns from Magnified Videos and CNN Features. CIARP 2019: 740-750 - 2018
- [c10]Jefferson Rodríguez, Fabio Martínez:
A Kinematic Gesture Representation Based on Shape Difference VLAD for Sign Language Recognition. ICCVG 2018: 438-449 - [c9]Everson Sarmiento, Jean Pico, Fabio Martínez:
Cardiac disease prediction from spatio-temporal motion patterns in cine-MRI. ISBI 2018: 1305-1308 - 2017
- [j2]Fabio Martínez, Antoine Manzanera, Eduardo Romero:
Spatio-temporal multi-scale motion descriptor from a spatially-constrained decomposition for online action recognition. IET Comput. Vis. 11(7): 541-549 (2017) - 2016
- [c8]Fabio Martínez, Antoine Manzanera, Michèle Gouiffès, Thanh Phuong Nguyen:
Action-centric Polar Representation of Motion Trajectories for Online Action Recognition. VISIGRAPP (4: VISAPP) 2016: 442-448 - 2015
- [j1]Fabio Martínez, Josué Ruano, Martín Gómez, Eduardo Romero:
Estimating the size of polyps during actual endoscopy procedures using a spatio-temporal characterization. Comput. Medical Imaging Graph. 43: 130-136 (2015) - [c7]Fabio Martínez, Antoine Manzanera, Michèle Gouiffès, Annelies Braffort:
A Gaussian Mixture Representation of Gesture Kinematics for On-Line Sign Language Video Annotation. ISVC (2) 2015: 293-303 - 2014
- [c6]Fabio Martínez, Antoine Manzanera, Eduardo Romero:
Representing activities with layers of velocity statistics for multiple human action recognition in surveillance applications. Video Surveillance and Transportation Imaging Applications 2014: 90260G - 2013
- [c5]Angélica Maria Atehortúa Labrador, Fabio Martínez, Eduardo Romero Castro:
A Novel Right Ventricle Segmentation Approach from Local Spatio-temporal MRI Information. CIARP (2) 2013: 206-213 - 2012
- [c4]Christian Cifuentes, Fabio Martínez, Eduardo Romero:
A 3D Physics-based Model to Simulate Normal and Pathological Gait Patterns. GRAPP/IVAPP 2012: 197-201 - [c3]Fabio Martínez, Oscar Acosta, Renaud de Crevoisier, Eduardo Romero:
Local jet features and statistical models in a hybrid Bayesian framework for prostate estimation in CBCT images. Computer-Aided Diagnosis 2012: 83151R - [c2]Juan Carlos León, Fabio Martínez, Eduardo Romero:
A Robust Background Subtraction Algorithm using the a ∑-∆ Estimation - Applied to the Visual Analysis of Human Motion. VISAPP (1) 2012: 484-489 - 2011
- [c1]Fabio Martínez, Juan Carlos León, Eduardo Romero:
Pathology Classification of Gait Human Gestures. VISAPP 2011: 710-713
Coauthor Index
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last updated on 2024-12-08 02:25 CET by the dblp team
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