Understanding Motion in Sign Language: A New Structured Translation Dataset. - Jefferson Rodríguez; Juan Chacón; Edgar Rangel; Luis Guayacán; Claudia Hernández; Luisa Hernández; Fabio Martínez (ACCV (6), 2020)

Towards understanding spatio-temporal parkinsonian patterns from salient regions of a 3D convolutional network. - Luis Carlos Guayacán; Edgar Rangel; Fabio Martínez (EMBC, 2020)

Visualising and quantifying relevant parkinsonian gait patterns using 3D convolutional network. - Luis Carlos Guayacán; Fabio Martínez (J. Biomed. Informatics, 2021)

A Multimodal Geometric Deep Representation to Support Bi-Parametric Prostate Cancer Lesion Classification. - Yesid Gutiérrez; Juan A. Olmos; Luis Guayacán; Fabio Martínez (ISBI, 2023)

Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary Nodules. - Alejandra Moreno; Juan A. Olmos; Luis Guayacán; Fabio Martínez (ISBI, 2023)

Fast detection and localization of mitosis using a semi-supervised deep representation. - Santiago Castro; David Romo-Bucheli; Luis Guayacán; Fabio Martínez (Digital and Computational Pathology, 2023)

A persistent homology gait analysis for Parkinson disease characterization. - Luis Guayacán; Yessica Castrillón; Francisco Gómez 002; Fabio Martínez (Biomed. Signal Process. Control., 2025)

A digital eye-fixation biomarker using a deep anomaly scheme to classify Parkisonian patterns. - Juan Niño; Luis Guayacán; Santiago Gómez; Fabio Martínez (CoRR, 2025)