Juan A. Olmos

17 papers Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Geometric Multimodal Foundation Model Integrating Bp-MRI and Clinical Reports in Prostate Cancer Classification.
CoRR
Juan A. Olmos, Antoine Manzanera, Fabio Martínez
2025 J jnl
A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI.
CoRR
Mateo Ortiz, Juan A. Olmos, Fabio Martínez
2025 J jnl
A multimodal gait and ocular geometric representation to generate a Parkinson progression report.
Eng. Appl. Artif. Intell.
John Archila, Ivan Peña, Luis Fernando Celis, Juan A. Olmos, Antoine Manzanera, Fabio Martínez
2025 J jnl
Geometric multimodal learning to support prostate cancer diagnosis on limited and multicentric bi-parametric MRI data.
Neural Comput. Appl.
Juan A. Olmos, Antoine Manzanera, Fabio Martínez
2025 J jnl
Learning a geometric deep representation to classify Parkinson smooth pursuit patterns.
Pattern Anal. Appl.
Luis Fernando Celis, Juan A. Olmos, Antoine Manzanera, Fabio Martínez
2025 J jnl
Parkinson disease classification: a comparison of quantum and RBF kernels using support vector machine.
Quantum Mach. Intell.
Gregoire Cattan, Juan A. Olmos, Yash Chauhan, Fabio Martínez
2025 — conf
RIEMAE: Riemannian Masked Autoencoder for Classifying Malignant Prostate Cancer Patterns.
ISBI
Edward Sandoval, Juan A. Olmos, Fabio Martínez
2024 — conf
A Geometric Attention Mechanism to Classify Parkinsonism Smooth Pursuit Patterns.
IBERAMIA
Luis Fernando Celis, Juan A. Olmos, Fabio Martínez
2024 J jnl
A self-supervised deep Riemannian representation to classify parkinsonian fixational patterns.
Artif. Intell. Medicine
Edward Sandoval, Juan A. Olmos, Fabio Martínez
2024 J jnl
Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities.
Pattern Recognit. Lett.
Juan A. Olmos, Antoine Manzanera, Fabio Martínez
2023 — conf
A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion Classification.
ISBI
Yesid Gutiérrez, Juan A. Olmos, Luis Guayacán, Fabio Martínez
2023 — conf
Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary Nodules.
ISBI
Alejandra Moreno, Juan A. Olmos, Luis Guayacán, Fabio Martínez
2023 J jnl
Parkinsonian gait patterns quantification from principal geodesic analysis.
Pattern Anal. Appl.
Santiago Niño, Juan A. Olmos, Juan C. Galvis, Fabio Martínez
2022 — conf
A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns.
EMBC
Juan A. Olmos, Fabio Martínez
2022 J jnl
A local volumetric covariance descriptor for markerless Parkinsonian gait pattern quantification.
Multim. Tools Appl.
Oscar Mendoza, Fabio Martínez, Juan A. Olmos
2022 — conf
An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian Representation.
ICPRAI (1)
Juan A. Olmos, Antoine Manzanera, Fabio Martínez
2022 — conf
Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis.
IBERAMIA
Juan A. Olmos, Juan C. Galvis, Fabio Martínez