JUAN MANUEL
GÓRRIZ SÁEZ
CATEDRÁTICO DE UNIVERSIDAD
University of Leicester
Leicester, Reino UnidoPublicaciones en colaboración con investigadores/as de University of Leicester (47)
2024
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Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Expert Systems with Applications, Vol. 255
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Deep learning in crowd counting: A survey
CAAI Transactions on Intelligence Technology, Vol. 9, Núm. 5, pp. 1043-1077
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ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration
Physiological Measurement, Vol. 45, Núm. 5
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Guest Editorial: Knowledge-based deep learning system in bio-medicine
CAAI Transactions on Intelligence Technology
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Hypertrophic Cardiomyopathy Diagnosis Using Deep Learning Techniques
Human-centric Computing and Information Sciences, Vol. 14, pp. 1-21
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Stationary Wavelet Entropy and Cat Swarm Optimization to Detect COVID-19
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023
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AdaD-FNN for Chest CT-Based COVID-19 Diagnosis
IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 1, pp. 5-14
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An Evolutionary Attention-Based Network for Medical Image Classification
International Journal of Neural Systems, Vol. 33, Núm. 3
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Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
Computers in Biology and Medicine, Vol. 160
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Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Applied Soft Computing, Vol. 144
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
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Deep Learning and Vision Transformer for Medical Image Analysis
Journal of Imaging
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Deep learning in food category recognition
Information Fusion, Vol. 98
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Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Information Fusion
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EAYv3-CFC3: Ensemble Learning With Attention-Based Yv3 Combined With CFC3 Loss for Obscenity Detection
IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 8, Núm. 2, pp. 1097-1101
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Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis
IEEE Transactions on Emerging Topics in Computational Intelligence
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Optimization Algorithms and Machine Learning Techniques in Medical Image Analysis
Mathematical biosciences and engineering : MBE, Vol. 20, Núm. 3, pp. 5917-5920
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Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 5, pp. 1431-1441
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SCNN: A Explainable Swish-based CNN and Mobile App for COVID-19 Diagnosis
Mobile Networks and Applications, Vol. 28, Núm. 5, pp. 1936-1949
2022
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A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic Pooling
IEEE Sensors Journal, Vol. 22, Núm. 18, pp. 17573-17582