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

557 citations · 610 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.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…

cs.CV2014

Indoor 3D Video Monitoring Using Multiple Kinect Depth-Cameras

M. Martínez-Zarzuela, M. Pedraza-Hueso, F. J. Díaz-Pernas +2

This article describes the design and development of a system for remote indoor 3D monitoring using an undetermined number of Microsoft(R) Kinect sensors. In the proposed client-se…