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COVID-19 detection in chest X-ray images using deep boosted hybrid learning
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
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COVID-19 detection in chest X-ray images using deep boosted hybrid learning

Khan, Saddam Hussain ; Sohail, Anabia ; Khan, Asifullah ; Hassan, Mehdi ; Lee, Yeon Soo ; Alam, Jamshed ; Basit, Abdul ; Zubair, Saima

Computers in biology and medicine, 2021-10, Vol.137, p.104816-104816, Article 104816 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
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Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

Abdar, Moloud ; Samami, Maryam ; Dehghani Mahmoodabad, Sajjad ; Doan, Thang ; Mazoure, Bogdan ; Hashemifesharaki, Reza ; Liu, Li ; Khosravi, Abbas ; Acharya, U. Rajendra ; Makarenkov, Vladimir ; Nahavandi, Saeid

Computers in biology and medicine, 2021-08, Vol.135, p.104418-104418, Article 104418 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
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An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network

Baghdadi, Nadiah A. ; Malki, Amer ; Abdelaliem, Sally F. ; Magdy Balaha, Hossam ; Badawy, Mahmoud ; Elhosseini, Mostafa

Computers in biology and medicine, 2022-05, Vol.144, p.105383-105383, Article 105383 [Periódico revisado por pares]

United States: Elsevier Ltd

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4
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information
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MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information

Liu, Xiaoming ; Guo, Zhengsheng ; Cao, Jun ; Tang, Jinshan

Computers in biology and medicine, 2021-08, Vol.135, p.104543-104543, Article 104543 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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5
Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images
Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images
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Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images

Ahmad, Fareed ; Ghani Khan, Muhammad Usman ; Javed, Kashif

Computers in biology and medicine, 2021-07, Vol.134, p.104401-104401, Article 104401 [Periódico revisado por pares]

United States: Elsevier Ltd

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6
Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes
Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes
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Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes

Guarrasi, Valerio ; Soda, Paolo

Computers in biology and medicine, 2023-03, Vol.154, p.106625-106625, Article 106625 [Periódico revisado por pares]

United States: Elsevier Ltd

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7
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy
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Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy

Jabbarpour, Amir ; Mahdavi, Seied Rabi ; Vafaei Sadr, Alireza ; Esmaili, Golbarg ; Shiri, Isaac ; Zaidi, Habib

Computers in biology and medicine, 2022-04, Vol.143, p.105277-105277, Article 105277 [Periódico revisado por pares]

United States: Elsevier Ltd

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8
Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network
Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network
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Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network

Murarka, Shruti ; Wadichar, Aditya ; Bhurane, Ankit ; Sharma, Manish ; Acharya, U. Rajendra

Computers in biology and medicine, 2022-07, Vol.146, p.105594-105594, Article 105594 [Periódico revisado por pares]

United States: Elsevier Ltd

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9
CRIECNN: Ensemble convolutional neural network and advanced feature extraction methods for the precise forecasting of circRNA-RBP binding sites
CRIECNN: Ensemble convolutional neural network and advanced feature extraction methods for the precise forecasting of circRNA-RBP binding sites
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CRIECNN: Ensemble convolutional neural network and advanced feature extraction methods for the precise forecasting of circRNA-RBP binding sites

Lasantha, Dilan ; Vidanagamachchi, Sugandima ; Nallaperuma, Sam

Computers in biology and medicine, 2024-05, Vol.174, p.108466-108466, Article 108466 [Periódico revisado por pares]

United States: Elsevier Ltd

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10
Classifying ASD based on time-series fMRI using spatial–temporal transformer
Classifying ASD based on time-series fMRI using spatial–temporal transformer
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Classifying ASD based on time-series fMRI using spatial–temporal transformer

Deng, Xin ; Zhang, Jiahao ; Liu, Rui ; Liu, Ke

Computers in biology and medicine, 2022-12, Vol.151 (Pt B), p.106320-106320, Article 106320 [Periódico revisado por pares]

United States: Elsevier Ltd

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