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An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis
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An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis

Shamsi, Afshar ; Asgharnezhad, Hamzeh ; Jokandan, Shirin Shamsi ; Khosravi, Abbas ; Kebria, Parham M. ; Nahavandi, Darius ; Nahavandi, Saeid ; Srinivasan, Dipti

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1408-1417

United States: IEEE

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Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
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Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

Brunese, Luca ; Mercaldo, Francesco ; Reginelli, Alfonso ; Santone, Antonella

Computer methods and programs in biomedicine, 2020-11, Vol.196, p.105608-105608, Article 105608 [Periódico revisado por pares]

Ireland: Elsevier B.V

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CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
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CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Khan, Asif Iqbal ; Shah, Junaid Latief ; Bhat, Mohammad Mudasir

Computer methods and programs in biomedicine, 2020-11, Vol.196, p.105581-105581, Article 105581 [Periódico revisado por pares]

Ireland: Elsevier B.V

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4
Automated EEG-based screening of depression using deep convolutional neural network
Automated EEG-based screening of depression using deep convolutional neural network
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Automated EEG-based screening of depression using deep convolutional neural network

Acharya, U. Rajendra ; Oh, Shu Lih ; Hagiwara, Yuki ; Tan, Jen Hong ; Adeli, Hojjat ; Subha, D. P

Computer methods and programs in biomedicine, 2018-07, Vol.161, p.103-113 [Periódico revisado por pares]

Ireland: Elsevier B.V

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5
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
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Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

Li, Xiaomeng ; Yu, Lequan ; Chen, Hao ; Fu, Chi-Wing ; Xing, Lei ; Heng, Pheng-Ann

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.523-534

United States: IEEE

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Kubios HRV – Heart rate variability analysis software
Kubios HRV – Heart rate variability analysis software
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Kubios HRV – Heart rate variability analysis software

Tarvainen, Mika P ; Niskanen, Juha-Pekka ; Lipponen, Jukka A ; Ranta-aho, Perttu O ; Karjalainen, Pasi A

Computer methods and programs in biomedicine, 2014-01, Vol.113 (1), p.210-220 [Periódico revisado por pares]

Kidlington: Elsevier Ireland Ltd

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7
Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition
Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition
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Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition

Khare, Smith K. ; Bajaj, Varun

IEEE transaction on neural networks and learning systems, 2021-07, Vol.32 (7), p.2901-2909

United States: IEEE

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Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
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Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

Al-masni, Mohammed A. ; Al-antari, Mugahed A. ; Park, Jeong-Min ; Gi, Geon ; Kim, Tae-Yeon ; Rivera, Patricio ; Valarezo, Edwin ; Choi, Mun-Taek ; Han, Seung-Moo ; Kim, Tae-Seong

Computer methods and programs in biomedicine, 2018-04, Vol.157, p.85-94 [Periódico revisado por pares]

Ireland: Elsevier B.V

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9
Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface
Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface
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Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface

Fahimi, Fatemeh ; Dosen, Strahinja ; Ang, Kai Keng ; Mrachacz-Kersting, Natalie ; Guan, Cuntai

IEEE transaction on neural networks and learning systems, 2021-09, Vol.32 (9), p.4039-4051

United States: IEEE

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10
Deep Convolutional Neural Networks for breast cancer screening
Deep Convolutional Neural Networks for breast cancer screening
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Deep Convolutional Neural Networks for breast cancer screening

Chougrad, Hiba ; Zouaki, Hamid ; Alheyane, Omar

Computer methods and programs in biomedicine, 2018-04, Vol.157, p.19-30 [Periódico revisado por pares]

Ireland: Elsevier B.V

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