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

557 citations · 589 across the 4 of their papers we have counts for

collaborators

4 papers

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…