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

557 citations · 685 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP202421 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…

cs.HC202417 cited

A Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring

David González-Ortega, Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela +1

In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform and its synchronized working with a driving simulator. T…

eess.IV2024557 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.CV2024

A comparative study on wearables and single-camera video for upper-limb out-of-thelab activity recognition with different deep learning architectures

Mario Martínez-Zarzuela, David González-Ortega, Míriam Antón-Rodríguez +3

The use of a wide range of computer vision solutions, and more recently high-end Inertial Measurement Units (IMU) have become increasingly popular for assessing human physical acti…

cs.CY202475 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…

cs.CV202415 cited

Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator

David González-Ortega, Francisco Javier Díaz-Perna, Mario Martínez-Zarzuela +1

Driver's gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens th…