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Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

Computers in biology and medicine, 2023-10, Vol.165, p.107441-107441, Article 107441

2023

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Explainable, trustworthy, and ethical machine learning for healthcare: A survey

Computers in biology and medicine, 2022-10, Vol.149, p.106043-106043, Article 106043

2022

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

Computers in biology and medicine, 2021-10, Vol.137, p.104816-104816, Article 104816

2021

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Survey on deep learning for radiotherapy

Computers in biology and medicine, 2018-07, Vol.98, p.126-146

2018

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Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework

Computers in biology and medicine, 2022-04, Vol.143, p.105242-105242, Article 105242

2022

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Self-supervised representation learning from 12-lead ECG data

Computers in biology and medicine, 2022-02, Vol.141, p.105114, Article 105114

2022

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A scoping review of transfer learning research on medical image analysis using ImageNet

Computers in biology and medicine, 2021-01, Vol.128, p.104115-104115, Article 104115

2021

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Brain tumor classification using deep CNN features via transfer learning

Computers in biology and medicine, 2019-08, Vol.111, p.103345-103345, Article 103345

2019

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A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals

Computers in biology and medicine, 2022-04, Vol.143, p.105288-105288, Article 105288

2022

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

Computers in biology and medicine, 2021-01, Vol.128, p.104121-104121, Article 104121

2021

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Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review

Computers in biology and medicine, 2023-03, Vol.155, p.106649-106649, Article 106649

2023

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Cross comparison representation learning for semi-supervised segmentation of cellular nuclei in immunofluorescence staining

Computers in biology and medicine, 2024-03, Vol.171, p.108102-108102, Article 108102

2024

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DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques

Computers in biology and medicine, 2021-09, Vol.136, p.104649-104649, Article 104649

2021

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Online semi-supervised learning for motor imagery EEG classification

Computers in biology and medicine, 2023-10, Vol.165, p.107405-107405, Article 107405

2023

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Pre-trained convolutional neural networks as feature extractors for tuberculosis detection

Computers in biology and medicine, 2017-10, Vol.89, p.135-143

2017

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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

Computers in biology and medicine, 2018-09, Vol.100, p.270-278

2018

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Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

Computers in biology and medicine, 2021-10, Vol.137, p.104803-104803, Article 104803

2021

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Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm

Computers in biology and medicine, 2020-07, Vol.122, p.103804-103804, Article 103804

2020

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A machine learning model for early detection of diabetic foot using thermogram images

Computers in biology and medicine, 2021-10, Vol.137, p.104838-104838, Article 104838

2021

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IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach

Computers in biology and medicine, 2022-04, Vol.143, p.105265-105265, Article 105265

2022

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An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery

Computers in biology and medicine, 2020-11, Vol.126, p.104041-104041, Article 104041

2020

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Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

Computers in biology and medicine, 2022-07, Vol.146, p.105602-105602, Article 105602

2022

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Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis

Computers in biology and medicine, 2021-09, Vol.136, p.104678-104678, Article 104678

2021

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LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector

Computers in biology and medicine, 2021-10, Vol.137, p.104807-104807, Article 104807

2021

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Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation

Computers in biology and medicine, 2020-11, Vol.126, p.104037-104037, Article 104037

2020

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Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

Explainable, trustworthy, and ethical machine learning for healthcare: A survey

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

Survey on deep learning for radiotherapy

Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework

Self-supervised representation learning from 12-lead ECG data

A scoping review of transfer learning research on medical image analysis using ImageNet

Brain tumor classification using deep CNN features via transfer learning

A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals

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

Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review

Cross comparison representation learning for semi-supervised segmentation of cellular nuclei in immunofluorescence staining

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques

Online semi-supervised learning for motor imagery EEG classification

Pre-trained convolutional neural networks as feature extractors for tuberculosis detection

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm

A machine learning model for early detection of diabetic foot using thermogram images

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach

An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTSCAN Imagery

Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis

LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation

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