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Learning Deep Representations of Fine-Grained Visual Descriptions

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Attention Correctness in Neural Image Captioning

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A State-of-the-Art Survey on Deep Learning Theory and Architectures

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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

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Density-Aware Single Image De-raining Using a Multi-stream Dense Network

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The History Began from AlexNet: A Comprehensive Survey on Deep Learning ApproachesPreprint

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Explainable Deep Learning Models in Medical Image Analysis

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Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: a mini-review, two showcases and beyond

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AI in Medical Imaging Informatics: Current Challenges and Future Directions

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The importance of interpretability and visualization in machine learning for applications in medicine and health care

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TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays

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On Interpretability of Artificial Neural Networks: A Survey

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Tell Me Where to Look: Guided Attention Inference Network

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Transparency of deep neural networks for medical image analysis: A review of interpretability methods

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Deep learning in microscopy image analysis: a survey

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Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

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On the Automatic Generation of Medical Imaging Reports

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Deep Learning for Medical Anomaly Detection – A Survey

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Thoracic Disease Identification and Localization with Limited Supervision

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Photographic Text-to-Image Synthesis with a Hierarchically-Nested Adversarial Network

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Deep Learning in Neuroradiology

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Artificial Intelligence in Lung Cancer Pathology Image Analysis

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A survey on U-shaped networks in medical image segmentations

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ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images

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Survey on Explainable AI: From Approaches, Limitations and Applications Aspects

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Multimodal Recurrent Model with Attention for Automated Radiology Report Generation

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Global guidance network for breast lesion segmentation in ultrasound images

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Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction

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Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches

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Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges

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A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

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Deep learning in generating radiology reports: A survey

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Automated radiology report generation using conditioned transformers

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Context-aware convolutional neural network for grading of colorectal cancer histology images

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Explainable artificial intelligence in skin cancer recognition: A systematic review

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Interpretation and visualization techniques for deep learning models in medical imaging

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Explainable Deep Learning Methods in Medical Image Classification: A Survey

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Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer

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Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward

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Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine

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Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

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Deep Texture Manifold for Ground Terrain Recognition

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Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

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A multimodal whole-slide foundation model for pathology

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Learning to detect chest radiographs containing pulmonary lesions using visual attention networks

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Learning efficient, explainable and discriminative representations for pulmonary nodules classification

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Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network

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Explainable artificial intelligence for medical imaging systems using deep learning: a comprehensive review

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Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging

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

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Interpretable Spatio-Temporal Attention for Video Action Recognition

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Interpret Neural Networks by Identifying Critical Data Routing Paths

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A Comprehensive Review for Typical Applications Based Upon Unmanned Aerial Vehicle Platform

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A Survey on Biomedical Image Captioning

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