Fabio Martinez - Publications

An Anomaly Self-Supervised Representation To Classify Malignant Lung Nodules.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: March 05, 2025

A multi-attention deep architecture to stratify lung nodule malignancy from CT scans.

Journal: Medical engineering & physics

Published: May 06, 2024

A Riemannian multimodal representation to classify parkinsonism-related patterns from noninvasive observations of gait and eye movements.

Journal: Biomedical engineering letters

Published: March 24, 2024

APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges.

Journal: Scientific reports

Published: February 21, 2024

A self-supervised deep Riemannian representation to classify parkinsonian fixational patterns.

Journal: Artificial intelligence in medicine

Published: December 11, 2023

A Volumetric Deep Architecture to Discriminate Parkinsonian Patterns from Intermediate Pose Representations.

Journal: International journal of psychological research

Published: October 30, 2023

A non-aligned translation with a neoplastic classifier regularization to include vascular NBI patterns in standard colonoscopies.

Journal: Computers in biology and medicine

Published: August 25, 2023

Cardiac disease discrimination from 3D-convolutional kinematic patterns on cine-MRI sequences.

Journal: Biomedica : revista del Instituto Nacional de Salud

Published: July 07, 2023

A deep supervised cross-attention strategy for ischemic stroke segmentation in MRI studies.

Journal: Biomedical physics & engineering express

Published: December 23, 2022

A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: September 10, 2022

Multimodal Contrastive Supervised Learning to Classify Clinical Significance MRI Regions on Prostate Cancer.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: September 10, 2022

An inception-based deep multiparametric net to classify clinical significance MRI regions of prostate cancer.

Journal: Physics in medicine and biology

Published: March 02, 2022