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Refinado por: assunto: Engineering remover
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Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach
Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach
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Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach

Abascal, Juan F. P. J. ; Ducros, Nicolas ; Pronina, Valeriya ; Rit, Simon ; Rodesch, Pierre-Antoine ; Broussaud, Thomas ; Bussod, Suzanne ; Douek, Philippe C. ; Hauptmann, Andreas ; Arridge, Simon ; Peyrin, Francoise

IEEE access, 2021, Vol.9, p.25632-25647 [Periódico revisado por pares]

Piscataway: IEEE

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2
Detection of COVID-19 from Deep Breathing Sounds Using Sound Spectrum with Image Augmentation and Deep Learning Techniques
Detection of COVID-19 from Deep Breathing Sounds Using Sound Spectrum with Image Augmentation and Deep Learning Techniques
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Detection of COVID-19 from Deep Breathing Sounds Using Sound Spectrum with Image Augmentation and Deep Learning Techniques

Abayomi-Alli, Olusola O ; Damasevicius, Robertas ; Abbasi, Aaqif Afzaal ; Maskeliunas, Rytis

Electronics (Basel), 2022-08, Vol.11 (16), p.2520 [Periódico revisado por pares]

Basel: MDPI AG

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3
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks
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DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks

Abbas, Asmaa ; Abdelsamea, Mohammed M. ; Gaber, Mohamed Medhat

IEEE access, 2020, Vol.8, p.74901-74913 [Periódico revisado por pares]

Piscataway: IEEE

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4
Automatic Face Recognition System Using Deep Convolutional Mixer Architecture and AdaBoost Classifier
Automatic Face Recognition System Using Deep Convolutional Mixer Architecture and AdaBoost Classifier
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Automatic Face Recognition System Using Deep Convolutional Mixer Architecture and AdaBoost Classifier

Abbas, Qaisar ; Albalawi, Talal Saad ; Perumal, Ganeshkumar ; Celebi, M. Emre

Applied sciences, 2023-09, Vol.13 (17), p.9880 [Periódico revisado por pares]

Basel: MDPI AG

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5
A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features
A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features
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A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features

Abbas, Qaisar ; Alsheddy, Abdullah

IEEE access, 2021, Vol.9, p.47530-47564 [Periódico revisado por pares]

Piscataway: IEEE

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6
DenseHyper: an automatic recognition system for detection of hypertensive retinopathy using dense features transform and deep-residual learning
DenseHyper: an automatic recognition system for detection of hypertensive retinopathy using dense features transform and deep-residual learning
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DenseHyper: an automatic recognition system for detection of hypertensive retinopathy using dense features transform and deep-residual learning

Abbas, Qaisar ; Ibrahim, Mostafa E. A.

Multimedia tools and applications, 2020-11, Vol.79 (41-42), p.31595-31623 [Periódico revisado por pares]

New York: Springer US

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7
An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture
An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture
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An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture

Abbas, Qaisar ; Qureshi, Imran ; Ibrahim, Mostafa E A

Sensors (Basel, Switzerland), 2021-10, Vol.21 (20), p.6936 [Periódico revisado por pares]

Switzerland: MDPI AG

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8
Secure IoMT for Disease Prediction Empowered with Transfer Learning in Healthcare 5.0, the Concept and Case Study
Secure IoMT for Disease Prediction Empowered with Transfer Learning in Healthcare 5.0, the Concept and Case Study
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Secure IoMT for Disease Prediction Empowered with Transfer Learning in Healthcare 5.0, the Concept and Case Study

Abbas, Tahir ; Fatima, Areej ; Shahzad, Tariq ; Atta-ur-Rahman ; Alissa, Khalid ; Ghazal, Taher M. ; Al-Sakhnini, Mahmoud M. ; Abbas, Sagheer ; Khan, Muhammad Adnan ; Ahmed, Arfan

IEEE access, 2023-01, Vol.11, p.1-1 [Periódico revisado por pares]

IEEE

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9
Effect of deep transfer and multi-task learning on sperm abnormality detection
Effect of deep transfer and multi-task learning on sperm abnormality detection
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Effect of deep transfer and multi-task learning on sperm abnormality detection

Abbasi, Amir ; Miahi, Erfan ; Mirroshandel, Seyed Abolghasem

Computers in biology and medicine, 2021-01, Vol.128, p.104121-104121, Article 104121 [Periódico revisado por pares]

United States: Elsevier Ltd

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10
Classification of diabetic retinopathy using unlabeled data and knowledge distillation
Classification of diabetic retinopathy using unlabeled data and knowledge distillation
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Classification of diabetic retinopathy using unlabeled data and knowledge distillation

Abbasi, Sajjad ; Hajabdollahi, Mohsen ; Khadivi, Pejman ; Karimi, Nader ; Roshandel, Roshanak ; Shirani, Shahram ; Samavi, Shadrokh

Artificial intelligence in medicine, 2021-11, Vol.121, p.102176-102176, Article 102176 [Periódico revisado por pares]

Elsevier B.V

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