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

557 citations · 664 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.CY2024★ 75 cited

Digital Distractions from the Point of View of Higher Education Students

María Ángeles Pérez-Juárez, David González-Ortega, Javier Manuel Aguiar-Pérez

Technology enables a more sustainable and universally accessible educational model. However, technology has brought a paradox into students' lives: it helps them engage in learning…