activity
20142026
most citedA Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

557 citations · 731 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2026★ 11 cited

ME-WARD: A multimodal ergonomic analysis tool for musculoskeletal risk assessment from inertial and video data in working plac

Javier González-Alonso, Paula Martín-Tapia, David González-Ortega +3

This study presents ME-WARD (Multimodal Ergonomic Workplace Assessment and Risk from Data), a novel system for ergonomic assessment and musculoskeletal risk evaluation that impleme…

eess.SP2024★ 21 cited

Custom IMU-Based Wearable System for Robust 2.4 GHz Wireless Human Body Parts Orientation Tracking and 3D Movement Visualization on an Avatar

Javier González-Alonso, David Oviedo-Pastor, Héctor J. Aguado +3

Recent studies confirm the applicability of Inertial Measurement Unit (IMU)-based systems for human motion analysis. Notwithstanding, high-end IMU-based commercial solutions are ye…

eess.IV2024★ 557 cited

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez +1

In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of…

cs.IT2014★ 142 cited

Efficient transfer entropy analysis of non-stationary neural time series

Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente +2

Information theory allows us to investigate information processing in neural systems in terms of information transfer, storage and modification. Especially the measure of informati…