Perfil del autor: Civit Masot, Javier
Datos institucionales
Nombre | Civit Masot, Javier |
Departamento | Arquitectura y Tecnología de Computadores |
Área de conocimiento | Arquitectura y Tecnología de Computadores |
Categoría profesional | Profesor Ayudante Doctor |
Correo electrónico | Solicitar |
Estadísticas
-
Nº publicaciones
35
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Nº visitas
5358
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Nº descargas
8297
Publicaciones |
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Artículo
Diagnosis Aid System for Colorectal Cancer Using Low Computational Cost Deep Learning Architectures
(MDPI, 2024)
Colorectal cancer is the second leading cause of cancer-related deaths worldwide. To prevent deaths, regular screenings ... |
Artículo
A lightweight xAI approach to cervical cancer classification
(Springer, 2024)
Cervical cancer is caused in the vast majority of cases by the human papilloma virus (HPV) through sexual contact and ... |
Artículo
A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images
(MDPI, 2023)
Monkeypox is a smallpox-like disease that was declared a global health emergency in July 2022. Because of this resemblance, ... |
Artículo
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
(Elsevier, 2022)
Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of ... |
Artículo
Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
(Elsevier, 2022)
Background: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other ... |
Capítulo de Libro
Perspective Chapter: Internet of Things in Healthcare: New Trends, Challenges and Hurdles
(IntechOpen, 2022)
Applied to health field, Internet of Things (IoT) systems provides continuous and ubiquitous monitoring and assistance, ... |
Capítulo de Libro
Sistema lumínico para la medición de la reacción motora
(3ciencias, 2022)
El mundo del deporte ha sufrido un gran cambio, llevando al extremo las exigencias físicas de los deportistas. Uno de los ... |
Capítulo de Libro
Herramienta de visualización, análisis y conversión de datasets analógicos a imágenes para su posterior procesado por Deep Learning
(3ciencias, 2022)
Las herramientas de aprendizaje automático se desarrollaron inicialmente para clasificar información visual y detectar ... |
Capítulo de Libro
Sistema integral de ayuda a la conducción mediante procesamiento con redes neuronales convolucionales
(3ciencias, 2022)
Los sistemas de ayuda a la conducción han experimentado un gran auge en los últimos años, convirtiéndose en un punto ... |
Artículo
AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
(MDPI, 2021)
Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, ... |
Artículo
A study on the use of Edge TPUs for eye fundus image segmentation
(Elsevier, 2021)
Medical image segmentation can be implemented using Deep Learning methods with fast and efficient segmentation networks. ... |
Artículo
Does Two-Class Training Extract Real Features? A COVID-19 Case Study
(MDPI, 2021)
Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals ... |
Capítulo de Libro
ResNet
(Springer, 2021)
In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with ... |
Tesis Doctoral
A Contribution to Deep Learning based Medical Image Diagnosis Aids
(2020)
In this work, an in-depth study about the use of Deep Learning techniques to support healthcare professionals for the ... |
Artículo
Affective State Assistant for Helping Users with Cognition Disabilities Using Neural Networks
(MDPI, 2020)
Non-verbal communication is essential in the communication process. This means that its lack can cause misinterpretations ... |
Ponencia
Incremental Learning For Fundus Image Segmentation
(IARIA XPS Press, 2020)
Automated Fundus image segmentation is tradition-ally done in the image acquisition instrument and, thus, in thiscase it ... |
Ponencia
EMG-Controlled Robotic Prosthetic Arm With Neural Network Training
(IARIA XPS Press, 2020)
The project consists of the creation of a roboticarm controlled remotely through a brace developed by ThalmicLabs, able ... |
Ponencia
Lower-Limb Falling Detection System Using Gated Recurrent Neural Networks
(IARIA XPS Press, 2020)
Accidental falls are one of the most common causes of premature disability and mortality related to unnatural causes. This ... |
Artículo
Dual Machine-Learning system to aid Glaucoma Diagnosis using disc and cup feature extraction.
(IEEE Computer Society, 2020)
Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The ... |
Ponencia
Multidataset Incremental Training for Optic Disc Segmentation
(Springer, 2020)
When convolutional neural networks are applied to image segmentation results depend greatly on the data sets used to train ... |
Artículo
Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
(MDPI, 2020)
The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify ... |
Ponencia
Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI
(ScitePress Digital Library, 2019)
Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, ... |
Artículo
TPU Cloud-Based Generalized U-Net for Eye Fundus Image Segmentation
(IEEE Computer Society, 2019)
Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on ... |
Ponencia
Polyp Detection in Gastrointestinal Images using Faster Regional Convolutional Neural Network
(ScitePress Digital Library, 2019)
Colorectal cancer is the third most frequently diagnosed malignancy in the world. To prevent this disease, polyps, the ... |
Ponencia
An Automated Fall Detection System Using Recurrent Neural Networks
(Springer, 2019)
Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. ... |
Ponencia
Localización e identificación automática de pólipos mediante una red neuronal convolucional por regiones
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
Este trabajo expone la metodología llevada a cabo para la aplicación de un modelo Deep Learning con el fin de detectar ... |
Ponencia
Clasificación de tumores en cáncer de mama basado en redes neuronales de convolución
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
El cáncer de mama es una de las causas más frecuentes de mortalidad en las mujeres. Con la llegada de los sistemas ... |
Ponencia
Deep learning glaucoma diagnosis aid
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
El glaucoma es una de las principales causas de ceguera. Cambia la morfología del nervio óptico. La copa es la región ... |
Ponencia
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices
(ScitePress Digital Library, 2019)
Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ... |
Ponencia
Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks
(ScitePress Digital Library, 2019)
Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the ... |
Ponencia
Multi-dataset Training for Medical Image Segmentation as a Service
(ScitePress Digital Library, 2019)
Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a ... |
Artículo
Evaluation of user satisfaction and usability of a mobile app for smoking cessation
(Elsevier, 2019)
Background Mobile apps have a great potential to support patients in healthcare, and to encourage healthy behavioral changes ... |
Ponencia
Deep learning as a tool for improving efficiency the of glial tumor diagnosis
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)
La aplicación de técnicas basadas en Inteligencia Artificial como apoyo a la detección y diagnosis de cáncer mediante ... |
Ponencia
Sistema informático móvil para el apoyo al cese tabáquico mediante mensajes motivacionales personalizados
(3ciencias. Editorial Área de Innovación y Desarrollo,S.L., 2018)
El proyecto SmokeFreeBrain estudia la efectividad de una variedad de intervenciones con el objetivo de dejar de fumar ... |
Artículo
Modelling side to side intestinal anastomosis
(Springer, 2017)
Side-to-side intestinal anastomosis is a surgical procedure where an incision is performed between two parallel segments ... |