Anton Civit

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Full Professor

Universidad de Sevilla

Spain

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About

Anton Civit is a Full Professor at Universidad de Sevilla, Spain. His research primarily focuses on deep learning applications in medical imaging, including the classification of skin diseases and the detection of viral infections such as Monkeypox and COVID-19. He has also explored innovative techniques in health technology, specifically regarding mobile health solutions and the use of neural networks for various diagnostic purposes.

Recent Grants

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Multidisciplinary tools for improving the efficacy of public prevention measures against smoking

Open Date: 2015-11-01

Close Date: 2018-10-31

Articles (11)

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2024

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2020

Collaborators (5)

José María Rodríguez Corral

Associate Professor

Universidad de Cádiz

SPAIN

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Francisco Jódar-Sánchez

University of Malaga

SPAIN

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Manuel Jesús Domínguez Morales

Profesor Sustituto Interino a Tiempo Completo

Universidad de Sevilla

SPAIN

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Arturo Morgado-Estevez

Universidad de Cádiz

SPAIN

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Saturnino Vicente Díaz

Profesor Titular de Universidad

Universidad de Sevilla

SPAIN

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Anton Civit

Research Interests

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Contact this professor

About

Recent Grants

Articles (11)

Classification of skin blemishes with cell phone images using deep learning techniques

A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images

Special Issue “Fighting COVID-19: Emerging Techniques and Aid Systems for Prevention, Forecasting and Diagnosis”

A study on the use of Edge TPUs for eye fundus image segmentation

AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks

Does Two-Class Training Extract Real Features? A COVID-19 Case Study

Affective State Assistant for Helping Users with Cognition Disabilities Using Neural Networks

Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images

Low-Power Embedded System for Gait Classification Using Neural Networks

A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial

Dual Machine-Learning System to Aid Glaucoma Diagnosis Using Disc and Cup Feature Extraction

Collaborators (5)

José María Rodríguez Corral

Francisco Jódar-Sánchez

Manuel Jesús Domínguez Morales

Arturo Morgado-Estevez

Saturnino Vicente Díaz

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