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ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions

Computer methods and programs in biomedicine, 2022-03, Vol.215, p.106620-106620, Article 106620

2022

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From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks

Computer methods and programs in biomedicine, 2023-06, Vol.236, p.107550-107550, Article 107550

2023

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CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients

Computer methods and programs in biomedicine, 2023-05, Vol.233, p.107492-107492, Article 107492

2023

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Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values

Computer methods and programs in biomedicine, 2024-04, Vol.246, p.108048-108048, Article 108048

2024

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SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data

Computer methods and programs in biomedicine, 2024-02, Vol.244, p.107966-107966, Article 107966

2024

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Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images

Computer methods and programs in biomedicine, 2023-03, Vol.230, p.107320-107320, Article 107320

2023

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Diagnosis of urinary tract infection based on artificial intelligence methods

Computer methods and programs in biomedicine, 2018-11, Vol.166, p.51-59

2018

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Symbolic knowledge extraction for explainable nutritional recommenders

Computer methods and programs in biomedicine, 2023-06, Vol.235, p.107536-107536, Article 107536

2023

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Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

Computer methods and programs in biomedicine, 2022-11, Vol.226, p.107161-107161, Article 107161

2022

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

Computer methods and programs in biomedicine, 2020-11, Vol.196, p.105608-105608, Article 105608

2020

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Blood vessel segmentation methodologies in retinal images – A survey

Computer methods and programs in biomedicine, 2012-10, Vol.108 (1), p.407-433

2012

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OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images

Computer methods and programs in biomedicine, 2021-03, Vol.200, p.105877-105877, Article 105877

2021

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Multi-input convolutional neural network for breast cancer detection using thermal images and clinical data

Computer methods and programs in biomedicine, 2021-06, Vol.204, p.106045, Article 106045

2021

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Interpretation of radiomics features–A pictorial review

Computer methods and programs in biomedicine, 2022-03, Vol.215, p.106609-106609, Article 106609

2022

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A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work

Computer methods and programs in biomedicine, 2021-09, Vol.209, p.106357-106357, Article 106357

2021

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A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach

Computer methods and programs in biomedicine, 2021-08, Vol.207, p.106190-106190, Article 106190

2021

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Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry

Computer methods and programs in biomedicine, 2020-07, Vol.190, p.105381-105381, Article 105381

2020

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Human fall detection on embedded platform using depth maps and wireless accelerometer

Computer methods and programs in biomedicine, 2014-12, Vol.117 (3), p.489-501

2014

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A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images

Computer methods and programs in biomedicine, 2021-04, Vol.202, p.105999-105999, Article 105999

2021

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Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods

Computer methods and programs in biomedicine, 2020-06, Vol.189, p.105316-105316, Article 105316

2020

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Artificial intelligence in diabetic retinopathy: Bibliometric analysis

Computer methods and programs in biomedicine, 2023-04, Vol.231, p.107358-107358, Article 107358

2023

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Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning

Computer methods and programs in biomedicine, 2020-04, Vol.187, p.105059-105059, Article 105059

2020

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Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review

Computer methods and programs in biomedicine, 2022-05, Vol.218, p.106731-106731, Article 106731

2022

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Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal

Computer methods and programs in biomedicine, 2013-03, Vol.109 (3), p.339-345

2013

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Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression

Computer methods and programs in biomedicine, 2023-10, Vol.240, p.107719-107719, Article 107719

2023

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ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks

CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients

Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values

SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images

Diagnosis of urinary tract infection based on artificial intelligence methods

Symbolic knowledge extraction for explainable nutritional recommenders

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)

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

Blood vessel segmentation methodologies in retinal images – A survey

OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images

Multi-input convolutional neural network for breast cancer detection using thermal images and clinical data

Interpretation of radiomics features–A pictorial review

A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work

A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach

Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry

Human fall detection on embedded platform using depth maps and wireless accelerometer

A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods

Artificial intelligence in diabetic retinopathy: Bibliometric analysis

Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning

Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review

Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal

Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression

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