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Explaining COVID-19 diagnosis with Taylor decompositions

https://doi.org/10.1007/s00521-022-08021-7
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3 of the 39 references listed on this page are in the Retraction Watch database as retracted (export 2026-10-21): 10.1007/s00500-020-05275-y (notice 2024-07-22), 10.1007/s00500-020-05424-3 (notice 2024-07-22), 10.1155/2021/6633755 (notice 2023-09-27).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/mp.15359openalex-snapshot
A review of explainable and interpretable AI with applications in COVID‐19 imaging
inferredcites →https://doi.org/10.1007/978-981-16-3783-4_15openalex-snapshot
Explainable AI for Fighting COVID-19 Pandemic: Opportunities, Challenges, and Future Prospects
inferredcites →https://doi.org/10.1007/s00500-020-05275-yopenalex-snapshot
RETRACTED ARTICLE: Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm
inferredcites →https://doi.org/10.1007/s00500-020-05424-3openalex-snapshot
RETRACTED ARTICLE: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
inferredcites →https://doi.org/10.1007/s11227-021-04222-4openalex-snapshot
A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s42600-021-00132-9openalex-snapshot
A deep convolutional neural network for COVID-19 detection using chest X-rays
inferredcites →https://doi.org/10.1016/b978-0-12-824536-1.00033-2openalex-snapshot
Normalizing images is good to improve computer-assisted COVID-19 diagnosis
inferredcites →https://doi.org/10.1016/j.artmed.2021.102114openalex-snapshot
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans
inferredcites →https://doi.org/10.1016/j.asoc.2022.108966openalex-snapshot
Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification
inferredcites →https://doi.org/10.1016/j.bdr.2021.100287openalex-snapshot
A Decision-Level Fusion Method for COVID-19 Patient Health Prediction
inferredcites →https://doi.org/10.1016/j.cmpb.2020.105608openalex-snapshot
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104306openalex-snapshot
Deep learning for diagnosis of COVID-19 using 3D CT scans
inferredcites →https://doi.org/10.1016/j.dsp.2017.10.011openalex-snapshot
Methods for interpreting and understanding deep neural networks
inferredcites →https://doi.org/10.1016/j.patcog.2016.11.008openalex-snapshot
Explaining nonlinear classification decisions with deep Taylor decomposition
inferredcites →https://doi.org/10.1016/j.patcog.2021.108035openalex-snapshot
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
inferredcites →https://doi.org/10.1016/j.scs.2020.102589openalex-snapshot
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
inferredcites →https://doi.org/10.1016/s0140-6736(20)30183-5openalex-snapshot
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
inferredcites →https://doi.org/10.1038/s41598-020-76550-zopenalex-snapshot
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
inferredcites →https://doi.org/10.1038/s42256-021-00338-7openalex-snapshot
AI for radiographic COVID-19 detection selects shortcuts over signal
inferredcites →https://doi.org/10.1109/bibm49941.2020.9313304openalex-snapshot
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images
inferredcites →https://doi.org/10.1109/cbms52027.2021.00103openalex-snapshot
Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/iccvw.2017.191openalex-snapshot
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
inferredcites →https://doi.org/10.1109/iccvw.2019.00513openalex-snapshot
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
inferredcites →https://doi.org/10.1109/jas.2020.1003393openalex-snapshot
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning
inferredcites →https://doi.org/10.1109/jiot.2020.3038009openalex-snapshot
Efficient Security and Authentication for Edge-Based Internet of Medical Things
inferredcites →https://doi.org/10.1109/mnet.011.2000713openalex-snapshot
B5G-Enabled Distributed Artificial Intelligence on Edges for COVID-19 Pandemic Outbreak Prediction
inferredcites →https://doi.org/10.1109/tcbb.2021.3065361openalex-snapshot
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images
inferredcites →https://doi.org/10.1109/tip.2021.3058783openalex-snapshot
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
inferredcites →https://doi.org/10.1109/tnnls.2016.2599820openalex-snapshot
Evaluating the Visualization of What a Deep Neural Network Has Learned
inferredcites →https://doi.org/10.1109/wacv.2018.00097openalex-snapshot
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks
inferredcites →https://doi.org/10.1145/2939672.2939778openalex-snapshot
"Why Should I Trust You?"
inferredcites →https://doi.org/10.1146/annurev-bioeng-110220-012203openalex-snapshot
Deep Learning and Medical Image Analysis for COVID-19 Diagnosis and Prediction
inferredcites →https://doi.org/10.1148/radiol.2020200432openalex-snapshot
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
inferredcites →https://doi.org/10.1148/radiol.2020200642openalex-snapshot
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
inferredcites →https://doi.org/10.1155/2021/6633755openalex-snapshot
PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation
inferredcites →https://doi.org/10.3390/s21020455openalex-snapshot
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5086713openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-031-39965-7_53openalex-snapshot
Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans
inferred← citeshttps://doi.org/10.1007/s11571-025-10343-wopenalex-snapshot
Towards a transparent and interpretable AI model for medical image classifications
inferred← citeshttps://doi.org/10.1016/j.istruc.2024.107583openalex-snapshot
Explainability of convolutional neural networks for damage diagnosis using transmissibility functions
inferred← citeshttps://doi.org/10.1080/21645515.2025.2501358openalex-snapshot
Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study
inferred← citeshttps://doi.org/10.1109/access.2023.3296792openalex-snapshot
Explainable Deep Learning Models With Gradient-Weighted Class Activation Mapping for Smart Agriculture
inferred← citeshttps://doi.org/10.1109/access.2025.3616353openalex-snapshot
Paving the Roadmap for XAI and IML in Healthcare: Data-Driven Discoveries and the FIXAIH Framework
inferred← citeshttps://doi.org/10.1111/exsy.70017openalex-snapshot
Explainable Artificial Intelligence for Business and Economics: Methods, Applications and Challenges
inferred← citeshttps://doi.org/10.1111/exsy.70111openalex-snapshot
A Method‐Oriented Review of Explainable Artificial Intelligence for Neurological Medical Imaging
inferred← citeshttps://doi.org/10.1177/14759217241301288openalex-snapshot
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks
inferred← citeshttps://doi.org/10.3389/fphy.2023.1153637openalex-snapshot
Lightweight neural architectures to improve COVID-19 identification
inferred← citeshttps://doi.org/10.3390/info15010004openalex-snapshot
Explainable AI Evaluation: A Top-Down Approach for Selecting Optimal Explanations for Black Box Models
inferred← citeshttps://doi.org/10.63367/199115992026083704016openalex-snapshot
Weak Target Detection of Road Construction Vehicles via Multi-model Decision Fusion
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