Juan Olmos

Universidad Industrial de Santander

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Hecho en Colombia

Juan Olmos

Universidad Industrial de Santander

Perfil externo:

Citaciones:

Productos:

Productos

Patentes

Proyectos

Noticias

Coautorías según país de afiliación

Cargando información...

Evolución anual según la clasificación del ScienTI (Top 20)

Cargando información...

10 Productos

Más citado

API

Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalitiesAcceso Cerrado

Fuente: Pattern Recognition Letters

Temas:

Representation (politics)

Artificial intelligence

Computer science

Parkinson's disease

Convolutional neural network

Pattern recognition (psychology)

Machine learning

Disease

Cognitive psychology

Neuroscience

Psychology

Medicine

Pathology

Politics

Political science

Law

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

Parkinsonian gait patterns quantification from principal geodesic analysisAcceso Cerrado

Fuente: Pattern Analysis and Applications

Temas:

Gait

Geodesic

Artificial intelligence

Principal component analysis

Pattern recognition (psychology)

Computer science

Gait analysis

Parkinson's disease

Computer vision

Cluster analysis

Covariance

Mathematics

Physical medicine and rehabilitation

Disease

Statistics

Medicine

Pathology

Geometry

Publicado: 2022

Citaciones:

Altmétricas:

Artículo de revista

A local volumetric covariance descriptor for markerless Parkinsonian gait pattern quantificationAcceso Cerrado

Fuente: Multimedia Tools and Applications

Temas:

Gait

Covariance

Computer science

Artificial intelligence

Set (abstract data type)

Pattern recognition (psychology)

Gait analysis

Computation

Physical medicine and rehabilitation

Computer vision

Algorithm

Mathematics

Statistics

Medicine

Programming language

Publicado: 2022

Citaciones:

Altmétricas:

Artículo de revista

An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian RepresentationAcceso Cerrado

Fuente: Lecture notes in computer science

Temas:

Population

Parkinson's disease

Convolutional neural network

Representation (politics)

Computer science

Artificial intelligence

Machine learning

Pattern recognition (psychology)

Disease

Neuroscience

Psychology

Medicine

Pathology

Environmental health

Politics

Political science

Law

Publicado: 2022

Citaciones:

Altmétricas:

Capítulo de libro

Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson’s Disease DiagnosisAcceso Cerrado

Fuente: Lecture notes in computer science

Temas:

Gait

Kinematics

Artificial intelligence

Computer science

Projection (relational algebra)

Covariance

Gait analysis

Pattern recognition (psychology)

Population

Parkinson's disease

Covariance matrix

Physical medicine and rehabilitation

Computer vision

Mathematics

Algorithm

Disease

Statistics

Medicine

Pathology

Physics

Environmental health

Classical mechanics

Publicado: 2022

Citaciones:

Altmétricas:

Capítulo de libro

A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor PatternsAcceso Cerrado

Fuente: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Temas:

Parkinson's disease

Artificial intelligence

Gait

Representation (politics)

Pattern recognition (psychology)

Silhouette

Projection (relational algebra)

Computer science

Kinematics

Mathematics

Physical medicine and rehabilitation

Disease

Medicine

Algorithm

Pathology

Politics

Political science

Law

Physics

Classical mechanics

Publicado: 2022

Citaciones:

Altmétricas:

Artículo de revista

Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary NodulesAcceso Cerrado

Fuente: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

Temas:

Discriminative model

Artificial intelligence

Pattern recognition (psychology)

Embedding

Computer science

Pairwise comparison

Mathematics

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion ClassificationAcceso Cerrado

Fuente: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

Temas:

Parametric statistics

Artificial intelligence

Convolutional neural network

Pattern recognition (psychology)

Embedding

Deep learning

Computer science

Representation (politics)

Mathematics

Statistics

Politics

Political science

Law

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

Quantification of Parkinsonian unilateral involvement from ocular fixational patterns using a deep video representationAcceso Abierto

Fuente: Health and Technology

Temas:

Fixation (population genetics)

Eye movement

Population

Disease

Artificial intelligence

Parkinson's disease

Medicine

Physical medicine and rehabilitation

Computer science

Psychology

Pathology

Environmental health

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

A self-supervised deep Riemannian representation to classify parkinsonian fixational patternsAcceso Cerrado

Fuente: Artificial Intelligence in Medicine

Temas:

Computer science

Representation (politics)

Artificial intelligence

Pattern recognition (psychology)

Machine learning

Politics

Political science

Law

Publicado: 2024

Citaciones:

Altmétricas:

Artículo de revista

Cargando información...

10 Productos

Más citado

API

Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalitiesAcceso Cerrado

Fuente: Pattern Recognition Letters

Temas:

Representation (politics)

Artificial intelligence

Computer science

Parkinson's disease

Convolutional neural network

Pattern recognition (psychology)

Machine learning

Disease

Cognitive psychology

Neuroscience

Psychology

Medicine

Pathology

Politics

Political science

Law

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

Parkinsonian gait patterns quantification from principal geodesic analysisAcceso Cerrado

Fuente: Pattern Analysis and Applications

Temas:

Gait

Geodesic

Artificial intelligence

Principal component analysis

Pattern recognition (psychology)

Computer science

Gait analysis

Parkinson's disease

Computer vision

Cluster analysis

Covariance

Mathematics

Physical medicine and rehabilitation

Disease

Statistics

Medicine

Pathology

Geometry

Publicado: 2022

Citaciones:

Altmétricas:

Artículo de revista

A local volumetric covariance descriptor for markerless Parkinsonian gait pattern quantificationAcceso Cerrado

Fuente: Multimedia Tools and Applications

Temas:

Gait

Covariance

Computer science

Artificial intelligence

Set (abstract data type)

Pattern recognition (psychology)

Gait analysis

Computation

Physical medicine and rehabilitation

Computer vision

Algorithm

Mathematics

Statistics

Medicine

Programming language

Publicado: 2022

Citaciones:

Altmétricas:

Artículo de revista

An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian RepresentationAcceso Cerrado

Fuente: Lecture notes in computer science

Temas:

Population

Parkinson's disease

Convolutional neural network

Representation (politics)

Computer science

Artificial intelligence

Machine learning

Pattern recognition (psychology)

Disease

Neuroscience

Psychology

Medicine

Pathology

Environmental health

Politics

Political science

Law

Publicado: 2022

Citaciones:

Altmétricas:

Capítulo de libro

Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson’s Disease DiagnosisAcceso Cerrado

Fuente: Lecture notes in computer science

Temas:

Gait

Kinematics

Artificial intelligence

Computer science

Projection (relational algebra)

Covariance

Gait analysis

Pattern recognition (psychology)

Population

Parkinson's disease

Covariance matrix

Physical medicine and rehabilitation

Computer vision

Mathematics

Algorithm

Disease

Statistics

Medicine

Pathology

Physics

Environmental health

Classical mechanics

Publicado: 2022

Citaciones:

Altmétricas:

Capítulo de libro

A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor PatternsAcceso Cerrado

Fuente: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Temas:

Parkinson's disease

Artificial intelligence

Gait

Representation (politics)

Pattern recognition (psychology)

Silhouette

Projection (relational algebra)

Computer science

Kinematics

Mathematics

Physical medicine and rehabilitation

Disease

Medicine

Algorithm

Pathology

Politics

Political science

Law

Physics

Classical mechanics

Publicado: 2022

Citaciones:

Altmétricas:

Artículo de revista

Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary NodulesAcceso Cerrado

Fuente: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

Temas:

Discriminative model

Artificial intelligence

Pattern recognition (psychology)

Embedding

Computer science

Pairwise comparison

Mathematics

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion ClassificationAcceso Cerrado

Fuente: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

Temas:

Parametric statistics

Artificial intelligence

Convolutional neural network

Pattern recognition (psychology)

Embedding

Deep learning

Computer science

Representation (politics)

Mathematics

Statistics

Politics

Political science

Law

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

Quantification of Parkinsonian unilateral involvement from ocular fixational patterns using a deep video representationAcceso Abierto

Fuente: Health and Technology

Temas:

Fixation (population genetics)

Eye movement

Population

Disease

Artificial intelligence

Parkinson's disease

Medicine

Physical medicine and rehabilitation

Computer science

Psychology

Pathology

Environmental health

Publicado: 2023

Citaciones:

Altmétricas:

Artículo de revista

A self-supervised deep Riemannian representation to classify parkinsonian fixational patternsAcceso Cerrado

Fuente: Artificial Intelligence in Medicine

Temas:

Computer science

Representation (politics)

Artificial intelligence

Pattern recognition (psychology)

Machine learning

Politics

Political science

Law

Publicado: 2024

Citaciones:

Altmétricas:

Artículo de revista