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Explainable Artificial Intelligence for Medical Applications: A Review
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Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease
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Explainable artificial intelligence: an analytical review
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Melanoma Recognition via Visual Attention
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Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
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Transparency and Trust in Human-AI-Interaction: The Role of Model-Agnostic Explanations in Computer Vision-Based Decision Support
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Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-031-07704-3_26openalex-snapshot
On the Use of Explainable Artificial Intelligence for the Differential Diagnosis of Pigmented Skin Lesions
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Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications
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Moral Enhancement and Artificial Intelligence: Moral AI?
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
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The Backpropagation Algorithm
inferredcites →https://doi.org/10.1007/978-981-97-1335-6_4openalex-snapshot
Evaluation of Randomized Input Sampling for Explanation (RISE) for 3D XAI - Proof of Concept for Black-Box Brain-Hemorrhage Classification
inferredcites →https://doi.org/10.1007/bf00993046openalex-snapshot
What makes a problem hard for a genetic algorithm? Some anomalous results and their explanation
inferredcites →https://doi.org/10.1007/s10462-021-10088-yopenalex-snapshot
Explainable artificial intelligence: a comprehensive review
inferredcites →https://doi.org/10.1007/s10618-022-00867-8openalex-snapshot
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
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Explainable AI: from black box to glass box
inferredcites →https://doi.org/10.1007/s12553-021-00620-zopenalex-snapshot
Malaria cell image classification by explainable artificial intelligence
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Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?
inferredcites →https://doi.org/10.1007/s40258-015-0203-4openalex-snapshot
Making Good Decisions in Healthcare with Multi-Criteria Decision Analysis: The Use, Current Research and Future Development of MCDA
inferredcites →https://doi.org/10.1007/s40846-023-00801-3openalex-snapshot
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
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Machine learning in digital health, recent trends, and ongoing challenges
inferredcites →https://doi.org/10.1016/c2018-0-01935-0openalex-snapshot
Artificial Intelligence in Precision Health
inferredcites →https://doi.org/10.1016/j.aej.2023.01.049openalex-snapshot
DA-Res2UNet: Explainable blood vessel segmentation from fundus images
inferredcites →https://doi.org/10.1016/j.artmed.2022.102423openalex-snapshot
A manifesto on explainability for artificial intelligence in medicine
inferredcites →https://doi.org/10.1016/j.bspc.2022.103584openalex-snapshot
Explainable AI decision model for ECG data of cardiac disorders
inferredcites →https://doi.org/10.1016/j.bspc.2023.104963openalex-snapshot
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
inferredcites →https://doi.org/10.1016/j.cmpb.2022.106620openalex-snapshot
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions
inferredcites →https://doi.org/10.1016/j.cmpb.2022.107161openalex-snapshot
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
inferredcites →https://doi.org/10.1016/j.cmpb.2023.107465openalex-snapshot
Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement
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Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson’s disease
inferredcites →https://doi.org/10.1016/j.cmpb.2023.107719openalex-snapshot
Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression
inferredcites →https://doi.org/10.1016/j.cmpb.2023.107879openalex-snapshot
DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104578openalex-snapshot
Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box
inferredcites →https://doi.org/10.1016/j.compbiomed.2022.105587openalex-snapshot
The effect of machine learning explanations on user trust for automated diagnosis of COVID-19
inferredcites →https://doi.org/10.1016/j.compbiomed.2022.106156openalex-snapshot
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
inferredcites →https://doi.org/10.1016/j.compbiomed.2023.106625openalex-snapshot
Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes
inferredcites →https://doi.org/10.1016/j.compeleceng.2023.108913openalex-snapshot
Integrating explainability into deep learning-based models for white blood cells classification
inferredcites →https://doi.org/10.1016/j.eswa.2021.116076openalex-snapshot
Audio based depression detection using Convolutional Autoencoder
inferredcites →https://doi.org/10.1016/j.future.2021.11.018openalex-snapshot
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation
inferredcites →https://doi.org/10.1016/j.health.2023.100206openalex-snapshot
An explainable artificial intelligence model for identifying local indicators and detecting lung disease from chest X-ray images
inferredcites →https://doi.org/10.1016/j.imu.2023.101286openalex-snapshot
Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods
inferredcites →https://doi.org/10.1016/j.inffus.2019.12.012openalex-snapshot
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
inferredcites →https://doi.org/10.1016/j.inffus.2022.11.028openalex-snapshot
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data
inferredcites →https://doi.org/10.1016/j.inffus.2023.101805openalex-snapshot
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
inferredcites →https://doi.org/10.1016/j.iswa.2023.200275openalex-snapshot
Skin cancer classification using explainable artificial intelligence on pre-extracted image features
inferredcites →https://doi.org/10.1016/j.jare.2022.08.021openalex-snapshot
A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
inferredcites →https://doi.org/10.1016/j.jbi.2020.103655openalex-snapshot
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies
inferredcites →https://doi.org/10.1016/j.jbi.2023.104303openalex-snapshot
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection
inferredcites →https://doi.org/10.1016/j.jpurol.2021.10.009openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.knosys.2022.109278openalex-snapshot
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
inferredcites →https://doi.org/10.1016/j.media.2021.101985openalex-snapshot
A survey on incorporating domain knowledge into deep learning for medical image analysis
inferredcites →https://doi.org/10.1016/j.media.2022.102470openalex-snapshot
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
inferredcites →https://doi.org/10.1016/j.media.2022.102684openalex-snapshot
Guidelines and evaluation of clinical explainable AI in medical image analysis
inferredcites →https://doi.org/10.1016/j.mlwa.2022.100322openalex-snapshot
Deep attention-based neural networks for explainable heart sound classification
inferredcites →https://doi.org/10.1016/j.mlwa.2023.100492openalex-snapshot
Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach for accurate diagnosis
inferredcites →https://doi.org/10.1016/j.neunet.2020.06.015openalex-snapshot
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
inferredcites →https://doi.org/10.1016/j.patrec.2023.10.013openalex-snapshot
Explainable few-shot learning with visual explanations on a low resource pneumonia dataset
inferredcites →https://doi.org/10.1016/j.patter.2024.100946openalex-snapshot
An evaluation of synthetic data augmentation for mitigating covariate bias in health data
inferredcites →https://doi.org/10.1016/j.pec.2020.08.031openalex-snapshot
What makes a patient ready for Shared Decision Making? A qualitative study
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A new machine learning method for identifying Alzheimer's disease
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Algorithmic fairness in artificial intelligence for medicine and healthcare
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Interpretable artificial intelligence for classification of alveolar bone defect in patients with cleft lip and palate
inferredcites →https://doi.org/10.1038/s41598-024-53778-7openalex-snapshot
Artificial intelligence framework for heart disease classification from audio signals
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Enhancing early Parkinson’s disease detection through multimodal deep learning and explainable AI: insights from the PPMI database
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Health intelligence: how artificial intelligence transforms population and personalized health
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
inferredcites →https://doi.org/10.1038/s42256-019-0114-4openalex-snapshot
Principles alone cannot guarantee ethical AI
inferredcites →https://doi.org/10.1038/s42256-019-0138-9openalex-snapshot
From local explanations to global understanding with explainable AI for trees
inferredcites →https://doi.org/10.1038/s42256-023-00711-8openalex-snapshot
From attribution maps to human-understandable explanations through Concept Relevance Propagation
inferredcites →https://doi.org/10.1057/s41599-023-02313-6openalex-snapshot
Detecting depression on video logs using audiovisual features
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Big data analytics in medical engineering and healthcare: methods, advances and challenges
inferredcites →https://doi.org/10.1080/03772063.2022.2114953openalex-snapshot
Erythemato-Squamous Diseases Prediction and Interpretation Using Explainable AI
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Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence
inferredcites →https://doi.org/10.1093/bib/bbad453openalex-snapshot
Explainable artificial intelligence for omics data: a systematic mapping study
inferredcites →https://doi.org/10.1093/bib/bbx044openalex-snapshot
Deep learning for healthcare: review, opportunities and challenges
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Disease classification for whole-blood DNA methylation: Meta-analysis, missing values imputation, and XAI
inferredcites →https://doi.org/10.1109/3ict56508.2022.9990755openalex-snapshot
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
inferredcites →https://doi.org/10.1109/64.87686openalex-snapshot
Explanations in knowledge systems: design for explainable expert systems
inferredcites →https://doi.org/10.1109/access.2021.3068597openalex-snapshot
Diagnosis Support Model of Cardiomegaly Based on CNN Using ResNet and Explainable Feature Map
inferredcites →https://doi.org/10.1109/access.2023.3255403openalex-snapshot
Interpretable Classification of Pneumonia Infection Using eXplainable AI (XAI-ICP)
inferredcites →https://doi.org/10.1109/access.2023.3269694openalex-snapshot
An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System
inferredcites →https://doi.org/10.1109/access.2023.3289320openalex-snapshot
Assessing Bias in Skin Lesion Classifiers With Contemporary Deep Learning and Post-Hoc Explainability Techniques
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Lung Sound Classification With Multi-Feature Integration Utilizing Lightweight CNN Model
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Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
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PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network
inferredcites →https://doi.org/10.1109/bhi50953.2021.9508618openalex-snapshot
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records
inferredcites →https://doi.org/10.1109/bibm52615.2021.9669648openalex-snapshot
An Causal XAI Diagnostic Model for Breast Cancer Based on Mammography Reports
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00020openalex-snapshot
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/embc48229.2022.9871291openalex-snapshot
CoughLIME: Sonified Explanations for the Predictions of COVID-19 Cough Classifiers
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/icscds53736.2022.9760858openalex-snapshot
Alzheimer's Disease Analysis using Explainable Artificial Intelligence (XAI)
inferredcites →https://doi.org/10.1109/ict4da59526.2023.10302183openalex-snapshot
Towards Explainable Artificial Intelligence for Pneumonia and Tuberculosis Classification from Chest X-Ray
inferredcites →https://doi.org/10.1109/iscslp.2012.6423452openalex-snapshot
Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMS in acoustic modeling
inferredcites →https://doi.org/10.1109/itsc57777.2023.10422003openalex-snapshot
Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems
inferredcites →https://doi.org/10.1109/jas.2017.7510508openalex-snapshot
Recent progresses in deep learning based acoustic models
inferredcites →https://doi.org/10.1109/mc.2018.3620965openalex-snapshot
Toward Human-Understandable, Explainable AI
inferredcites →https://doi.org/10.1109/ssci47803.2020.9308260openalex-snapshot
Interpretable Machine Learning Tools: A Survey
inferredcites →https://doi.org/10.1109/tai.2021.3104791openalex-snapshot
CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging
inferredcites →https://doi.org/10.1109/tcbb.2022.3190265openalex-snapshot
A Deep Learning Approach Considering Image Background for Pneumonia Identification Using Explainable AI (XAI)
inferredcites →https://doi.org/10.1109/tcyb.2020.2989158openalex-snapshot
Video Saliency Prediction via Joint Discrimination and Local Consistency
inferredcites →https://doi.org/10.1109/tem.2021.3104751openalex-snapshot
Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram
inferredcites →https://doi.org/10.1109/tencon54134.2021.9707468openalex-snapshot
Exploring Alzheimer's Disease Prediction with XAI in various Neural Network Models
inferredcites →https://doi.org/10.1109/tim.2022.3232159openalex-snapshot
Reduce System Redundancy and Optimize Sensor Disposition for EMG–IMU Multimodal Fusion Human–Machine Interfaces With XAI
inferredcites →https://doi.org/10.1109/tnnls.2020.3027314openalex-snapshot
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
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/10.1109/wacv45572.2020.9093360openalex-snapshot
Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization
inferredcites →https://doi.org/10.1109/wids-psu57071.2023.00048openalex-snapshot
Classification of Gastrointestinal Cancer through Explainable AI and Ensemble Learning
inferredcites →https://doi.org/10.1117/12.2520149openalex-snapshot
Developing the sensitivity of LIME for better machine learning explanation
inferredcites →https://doi.org/10.1136/bmjinnov-2021-000668openalex-snapshot
End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study
inferredcites →https://doi.org/10.1136/bmjopen-2020-045343openalex-snapshot
Impact of COVID-19 pandemic on utilisation of healthcare services: a systematic review
inferredcites →https://doi.org/10.1145/3301275.3308446openalex-snapshot
DARPA's explainable artificial intelligence (XAI) program
inferredcites →https://doi.org/10.1145/3347320.3357688openalex-snapshot
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
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A Multimodal, Multimedia Point-of-Care Deep Learning Framework for COVID-19 Diagnosis
inferredcites →https://doi.org/10.1145/3450337.3483487openalex-snapshot
Explainability via Interactivity? Supporting Nonexperts’ Sensemaking of pre-trained CNN by Interacting with Their Daily Surroundings
inferredcites →https://doi.org/10.1145/3462244.3479879openalex-snapshot
Towards Sonification in Multimodal and User-friendlyExplainable Artificial Intelligence
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It’s Complicated: The Relationship between User Trust, Model Accuracy and Explanations in AI
inferredcites →https://doi.org/10.1145/3583558openalex-snapshot
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
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User Characteristics in Explainable AI: The Rabbit Hole of Personalization?
inferredcites →https://doi.org/10.1155/2020/8975078openalex-snapshot
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning
inferredcites →https://doi.org/10.1155/2022/5164970openalex-snapshot
Modern Diagnostic Imaging Technique Applications and Risk Factors in the Medical Field: A Review
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Towards Trustworthy AI in Dentistry
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Artificial Intelligence: Investment Trends and Selected Industry Uses
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Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
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P4 Medicine: How Systems Medicine Will Transform the Healthcare Sector and Society
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Evaluating Significant Features in Context-Aware Multimodal Emotion Recognition with XAI Methods
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Considerations for a More Ethical Approach to Data in AI: On Data Representation and Infrastructure
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Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges
inferredcites →https://doi.org/10.3389/fgene.2022.822666openalex-snapshot
Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data
inferredcites →https://doi.org/10.3389/fmed.2021.797616openalex-snapshot
The Clinical Value of Explainable Deep Learning for Diagnosing Fungal Keratitis Using in vivo Confocal Microscopy Images
inferredcites →https://doi.org/10.3389/fpsyg.2020.624137openalex-snapshot
Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech
inferredcites →https://doi.org/10.3389/frai.2022.825565openalex-snapshot
GANterfactual—Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning
inferredcites →https://doi.org/10.3390/app12041926openalex-snapshot
Explainable Machine Learning for Lung Cancer Screening Models
inferredcites →https://doi.org/10.3390/app12126230openalex-snapshot
Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence
inferredcites →https://doi.org/10.3390/app12199545openalex-snapshot
Robustness, Stability, and Fidelity of Explanations for a Deep Skin Cancer Classification Model
inferredcites →https://doi.org/10.3390/app13053125openalex-snapshot
Exploring the Capabilities of a Lightweight CNN Model in Accurately Identifying Renal Abnormalities: Cysts, Stones, and Tumors, Using LIME and SHAP
inferredcites →https://doi.org/10.3390/app13159031openalex-snapshot
Localization and Classification of Gastrointestinal Tract Disorders Using Explainable AI from Endoscopic Images
inferredcites →https://doi.org/10.3390/cancers15133376openalex-snapshot
Explainable CAD System for Classification of Acute Lymphoblastic Leukemia Based on a Robust White Blood Cell Segmentation
inferredcites →https://doi.org/10.3390/diagnostics13111932openalex-snapshot
Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP
inferredcites →https://doi.org/10.3390/diagnostics13203244openalex-snapshot
Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images
inferredcites →https://doi.org/10.3390/diagnostics14070681openalex-snapshot
A Multimodal Transformer Model for Recognition of Images from Complex Laparoscopic Surgical Videos
inferredcites →https://doi.org/10.3390/electronics11244086openalex-snapshot
XAI Framework for Cardiovascular Disease Prediction Using Classification Techniques
inferredcites →https://doi.org/10.3390/electronics12204323openalex-snapshot
A Comprehensive Review on Multiple Instance Learning
inferredcites →https://doi.org/10.3390/jcm12093058openalex-snapshot
Impact of Noisy Labels on Dental Deep Learning—Calculus Detection on Bitewing Radiographs
inferredcites →https://doi.org/10.3390/jimaging6060052openalex-snapshot
Explainable Deep Learning Models in Medical Image Analysis
inferredcites →https://doi.org/10.3390/make4020026openalex-snapshot
Fairness and Explanation in AI-Informed Decision Making
inferredcites →https://doi.org/10.3390/s21093279openalex-snapshot
Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach
inferredcites →https://doi.org/10.3390/s21144764openalex-snapshot
Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level
inferredcites →https://doi.org/10.3390/s21217116openalex-snapshot
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images
inferredcites →https://doi.org/10.3390/s23020634openalex-snapshot
Survey of Explainable AI Techniques in Healthcare
inferredcites →https://doi.org/10.3390/s23063176openalex-snapshot
Endoscopic Image Classification Based on Explainable Deep Learning
inferredcites →https://doi.org/10.37394/23209.2023.20.29openalex-snapshot
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