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An effective approach for CT lung segmentation using mask region-based convolutional neural networks

Artificial intelligence in medicine, 2020-03, Vol.103, p.101792-101792, Article 101792

2020

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Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals

Frontiers in human neuroscience, 2020-09, Vol.14, p.365-365

2020

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Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation

Sensors (Basel, Switzerland), 2020-11, Vol.20 (23), p.6711

2020

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Fast fully automatic heart fat segmentation in computed tomography datasets

Computerized medical imaging and graphics, 2020-03, Vol.80, p.101674-101674, Article 101674

2020

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A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

Pattern recognition letters, 2020-08, Vol.136, p.8-15

2020

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Automated recognition of lung diseases in CT images based on the optimum-path forest classifier

Neural computing & applications, 2019-02, Vol.31 (Suppl 2), p.901-914

2019

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A New Approach to Diagnose Parkinson’s Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis

Computational intelligence and neuroscience, 2018-01, Vol.2018 (2018), p.1-8

2018

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Fast fully automatic skin lesions segmentation probabilistic with Parzen window

Computerized medical imaging and graphics, 2020-10, Vol.85, p.101774-101774, Article 101774

2020

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Reducing the Schizophrenia Stigma: A New Approach Based on Augmented Reality

Computational Intelligence and Neuroscience, 2017-01, Vol.2017 (2017), p.1-10

2017

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Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy

Sensors (Basel, Switzerland), 2015-05, Vol.15 (6), p.12474-12497

2015

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Evolutionary algorithms for automatic lung disease detection

Measurement : journal of the International Measurement Confederation, 2019-07, Vol.140, p.590-608

2019

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IoT System for School Dropout Prediction Using Machine Learning Techniques Based on Socioeconomic Data

Electronics (Basel), 2020-10, Vol.9 (10), p.1613

2020

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New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities

Computer methods and programs in biomedicine, 2017-09, Vol.148, p.27-43

2017

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A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images

Expert systems with applications, 2017-04, Vol.72, p.1-17

2017

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Automatic classification of pulmonary diseases using a structural co-occurrence matrix

Neural computing & applications, 2020-08, Vol.32 (15), p.10935-10945

2020

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New level set approach based on Parzen estimation for stroke segmentation in skull CT images

Soft computing (Berlin, Germany), 2019-10, Vol.23 (19), p.9265-9286

2019

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Embedded real-time speed limit sign recognition using image processing and machine learning techniques

Neural computing & applications, 2017-12, Vol.28 (Suppl 1), p.573-584

2017

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Classification of Induced Magnetic Field Signals for the Microstructural Characterization of Sigma Phase in Duplex Stainless Steels

Metals (Basel ), 2016-07, Vol.6 (7), p.164

2016

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Rotation-invariant feature extraction using a structural co-occurrence matrix

Measurement : journal of the International Measurement Confederation, 2016-12, Vol.94, p.406-415

2016

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Evaluation of Goat Leather Quality Based on Computational Vision Techniques

Circuits, systems, and signal processing, 2020-02, Vol.39 (2), p.651-673

2020

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New fully automatic approach for tissue identification in histopathological examinations using transfer learning

IET image processing, 2022-09, Vol.16 (11), p.2875-2889

2022

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A novel mobile robot localization approach based on classification with rejection option using computer vision

Computers & electrical engineering, 2018-05, Vol.68, p.26-43

2018

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A new online approach for classification of pumps vibration patterns based on intelligent IoT system

Measurement : journal of the International Measurement Confederation, 2020-02, Vol.151, p.107138, Article 107138

2020

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Internet of Medical Things-Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans

IEEE access, 2020, Vol.8, p.71117-71135

2020

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Deep learning IoT system for online stroke detection in skull computed tomography images

Computer networks (Amsterdam, Netherlands : 1999), 2019-04, Vol.152, p.25-39

2019

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An effective approach for CT lung segmentation using mask region-based convolutional neural networks

Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals

Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation

Fast fully automatic heart fat segmentation in computed tomography datasets

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier

A New Approach to Diagnose Parkinson’s Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis

Fast fully automatic skin lesions segmentation probabilistic with Parzen window

Reducing the Schizophrenia Stigma: A New Approach Based on Augmented Reality

Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy

Evolutionary algorithms for automatic lung disease detection

IoT System for School Dropout Prediction Using Machine Learning Techniques Based on Socioeconomic Data

New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities

A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images

Automatic classification of pulmonary diseases using a structural co-occurrence matrix

New level set approach based on Parzen estimation for stroke segmentation in skull CT images

Embedded real-time speed limit sign recognition using image processing and machine learning techniques

Classification of Induced Magnetic Field Signals for the Microstructural Characterization of Sigma Phase in Duplex Stainless Steels

Rotation-invariant feature extraction using a structural co-occurrence matrix

Evaluation of Goat Leather Quality Based on Computational Vision Techniques

New fully automatic approach for tissue identification in histopathological examinations using transfer learning

A novel mobile robot localization approach based on classification with rejection option using computer vision

A new online approach for classification of pumps vibration patterns based on intelligent IoT system

Internet of Medical Things-Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans

Deep learning IoT system for online stroke detection in skull computed tomography images

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