Research graph
References from Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
Brain tumor segmentation of mri images: a comprehensive review on the application of artificial intelligence tools
10.1016/j.compbiomed.2022.106405 · 2023 · External reference
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: a review
10.1016/j.media.2021.102049 · 2021 · External reference
Recent advances in deep learning applications for retinal diagnosis using oct
2020 · External reference
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2021 · External reference
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Darpa's explainable artificial intelligence (xai) program
2019 · External reference
10.1609/aimag.v38i3.2741
10.1609/aimag.v38i3.2741 · External reference
Unbox the black-box for the medical explainable ai via multi-modal and multi-centre data fusion: a mini-review, two showcases and beyond
10.1016/j.inffus.2021.07.016 · 2022 · External reference
Unresolved reference
2023 · External reference
Explainable ai for healthcare 5.0: opportunities and challenges
10.1109/access.2022.3197671 · 2022 · External reference
User-centric explainability in healthcare: a knowledge-level perspective of informed machine learning
2022 · External reference
Unresolved reference
2023 · External reference
Explainable medical imaging ai needs human-centered design: guidelines and evidence from a systematic review
10.1038/s41746-022-00699-2 · 2022 · External reference
Explainable deep learning methods in medical image classification: a survey
10.1145/3625287 · 2023 · External reference
A survey on deep learning and explainability for automatic report generation from medical images
10.1145/3522747 · 2022 · External reference
Explainable convolutional neural networks: a taxonomy, review, and future directions
10.1145/3563691 · 2023 · External reference
Explainable artificial intelligence methods in combating pandemics: a systematic review
10.1109/rbme.2022.3185953 · 2022 · External reference
Explainable artificial intelligence (xai) in deep learning-based medical image analysis
10.1016/j.media.2022.102470 · 2022 · External reference
10.1016/j.compbiomed.2023.106668
10.1016/j.compbiomed.2023.106668 · External reference
Explainable ai in medical imaging: an overview for clinical practitioners–saliency-based xai approaches
10.1016/j.ejrad.2023.110787 · 2023 · External reference
Explainable ai in medical imaging: an overview for clinical practitioners–beyond saliency-based xai approaches
10.1016/j.ejrad.2023.110786 · 2023 · External reference
Unresolved reference
2021 · External reference
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
10.3389/fncom.2020.00006 · 2020 · External reference
Assessment of convolutional neural networks for automated classification of chest radiographs
10.1148/radiol.2018181422 · 2019 · External reference
10.1038/s42256-019-0138-9
10.1038/s42256-019-0138-9 · External reference
A model-agnostic, network theory-based framework for supporting xai on classifiers
10.1016/j.eswa.2023.122588 · 2024 · External reference
Explainable AI for medical data: current methods, limitations, and future directions
2023 · External reference
10.1016/j.inffus.2023.101805
10.1016/j.inffus.2023.101805 · External reference
Neural additive models: interpretable machine learning with neural nets
2021 · External reference
Explainable deep learning models in medical image analysis
10.3390/jimaging6060052 · 2020 · External reference
Explainable deep learning for efficient and robust pattern recognition: a survey of recent developments
10.1016/j.patcog.2021.108102 · 2021 · External reference
10.1145/2939672.2939778
10.1145/2939672.2939778 · 2016 · External reference
Game theory interpretation of digital soil mapping convolutional neural networks
2020 · External reference
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2020 · External reference
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2016 · External reference
10.1016/j.knosys.2019.105237
10.1016/j.knosys.2019.105237 · External reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · External reference
10.5244/c.34.146
10.5244/c.34.146 · External reference
10.1109/wacv.2018.00097
10.1109/wacv.2018.00097 · 2018 · External reference
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10.1371/journal.pone.0130140
10.1371/journal.pone.0130140 · External reference
10.1002/9780470770801
10.1002/9780470770801 · 2008 · External reference
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2017 · External reference
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2019 · External reference
Occlusion-based explanations in deep recurrent models for biomedical signals
10.3390/e23081064 · 2021 · External reference
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10.1111/ecog.05360
10.1111/ecog.05360 · External reference
Explainable ai (xai): core ideas, techniques, and solutions
10.1145/3561048 · 2023 · External reference
Unresolved reference
2022 · External reference
Unboxing the black box of attention mechanisms in remote sensing big data using xai
10.3390/rs14246254 · 2022 · External reference
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10.1016/j.patcog.2016.11.008
10.1016/j.patcog.2016.11.008 · External reference
Systematic review: a road map version 2.2
2002 · External reference
Systematic literature reviews in software engineering – a systematic literature review
10.1016/j.infsof.2008.09.009 · 2009 · External reference
Systematic literature reviews in software engineering – a tertiary study
10.1016/j.infsof.2010.03.006 · 2010 · External reference
Explainable ai for retinoblastoma diagnosis: interpreting deep learning models with lime and shap
10.3390/diagnostics13111932 · 2023 · External reference
10.3390/app13063438
10.3390/app13063438 · External reference
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2022 · External reference
Ganterfactual—counterfactual explanations for medical non-experts using generative adversarial learning
10.3389/frai.2022.825565 · 2022 · External reference
Explainable ai for glaucoma prediction analysis to understand risk factors in treatment planning
10.1109/tim.2022.3171613 · 2022 · External reference
An explainable ai system for medical image segmentation with preserved local resolution: mammogram tumor segmentation
10.1109/access.2023.3330465 · 2023 · External reference
Explainable artificial intelligence (xai) for deep learning based medical imaging classification
10.3390/jimaging9090177 · 2023 · External reference
The effect of machine learning explanations on user trust for automated diagnosis of covid-19
10.1016/j.compbiomed.2022.105587 · 2022 · External reference
10.3390/s22249983
10.3390/s22249983 · External reference
Improving explainable ai with patch perturbation-based evaluation pipeline: a covid-19 x-ray image analysis case study
10.1038/s41598-023-46493-2 · 2023 · External reference
An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributes
2023 · External reference
Wireless capsule endoscopy image classification: an explainable ai approach
2023 · External reference
Explanation-driven hci model to examine the mini-mental state for Alzheimer's disease
10.1145/3527174 · 2023 · External reference
Unresolved reference
2023 · External reference
An explainable system for diagnosis and prognosis of covid-19
2020 · External reference
10.1145/3472163.3472175
10.1145/3472163.3472175 · 2021 · External reference
Prediction of quality of life in people with als: on the road towards explainable clinical decision support
10.1145/3477127.3477128 · 2021 · External reference
10.1145/3575879.3576014
10.1145/3575879.3576014 · 2022 · External reference
10.1145/3581641.3584075
10.1145/3581641.3584075 · 2023 · External reference
10.1145/3581641.3584044
10.1145/3581641.3584044 · 2023 · External reference
Predicting the evolution of pain relief: ensemble learning by diversifying model explanations
10.1145/3466781 · 2021 · External reference
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2023 · External reference
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2021 · External reference
Volumetric breast density estimation on mri using explainable deep learning regression
10.1038/s41598-020-75167-6 · 2020 · External reference
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
10.1016/j.media.2020.101908 · 2021 · External reference
Doctor's dilemma: evaluating an explainable subtractive spatial lightweight convolutional neural network for brain tumor diagnosis
10.1145/3457187 · 2021 · External reference
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of mrnet
10.1371/journal.pmed.1002699 · 2018 · External reference
Assessment of knee pain from mr imaging using a convolutional Siamese network
10.1007/s00330-020-06658-3 · 2020 · External reference
Layer-wise relevance propagation for explaining deep neural network decisions in mri-based Alzheimer's disease classification
10.3389/fnagi.2019.00194 · 2019 · External reference
Tuberculosis detection in chest radiograph using convolutional neural network architecture and explainable artificial intelligence
10.1007/s00521-022-07258-6 · 2024 · External reference
Explainable multi-instance and multi-task learning for covid-19 diagnosis and lesion segmentation in ct images
10.1016/j.knosys.2022.109278 · 2022 · External reference
Clinical interpretable deep learning model for glaucoma diagnosis
10.1109/jbhi.2019.2949075 · 2019 · External reference
Unresolved reference
2023 · External reference
Explainable deep learning-based clinical decision support engine for mri-based automated diagnosis of temporomandibular joint anterior disk displacement
10.1016/j.cmpb.2023.107465 · 2023 · External reference
Fairness-related performance and explainability effects in deep learning models for brain image analysis
10.1117/1.jmi.9.6.061102 · 2022 · External reference
10.1109/icip46576.2022.9897529
10.1109/icip46576.2022.9897529 · 2022 · External reference
Towards trustworthy ai in dentistry
10.1177/00220345221106086 · 2022 · External reference
Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric mri
10.1007/s00330-023-09710-0 · 2023 · External reference
Unresolved reference
2021 · External reference
10.1145/3616131.3616137
10.1145/3616131.3616137 · 2023 · External reference
xvitcos: explainable vision transformer based covid-19 screening using radiography
10.1109/jtehm.2021.3134096 · 2021 · External reference
Unresolved reference
2020 · External reference
Automated prediction of covid-19 severity upon admission by chest x-ray images and clinical metadata aiming at accuracy and explainability
10.1038/s41598-023-30505-2 · 2023 · External reference
Explainable ai and mass surveillance system-based healthcare framework to combat covid-i9 like pandemics
10.1109/mnet.011.2000458 · 2020 · External reference
10.1038/s41591-020-01192-7
10.1038/s41591-020-01192-7 · External reference
Explaining the black-box smoothly—a counterfactual approach
10.1016/j.media.2022.102721 · 2023 · External reference
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2017 · External reference
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10.1007/978-3-030-33850-3_1
10.1007/978-3-030-33850-3_1 · 2019 · External reference
Sanity checks for saliency maps
2018 · External reference
10.1038/s42256-019-0048-x
10.1038/s42256-019-0048-x · External reference
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A unified approach to interpreting model predictions
2017 · External reference
10.1007/s11263-019-01228-7
10.1007/s11263-019-01228-7 · External reference
