Xingjun Ma

Development of metaverse for intelligent healthcare

Secure, privacy-preserving and federated machine learning in medical imaging

Artificial intelligence in healthcare: transforming the practice of medicine

AI in health and medicine

Deep neural network models for computational histopathology: A survey

Multimodal biomedical AI

Deep learning in histopathology: the path to the clinic

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Diagnosis of Interturn Short-Circuit Faults in Permanent Magnet Synchronous Motors Based on Few-Shot Learning Under a Federated Learning Framework

Blockchain and Machine Learning for Communications and Networking Systems

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review

Industrial Internet-of-Things Security Enhanced With Deep Learning Approaches for Smart Cities

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

Trust and medical AI: the challenges we face and the expertise needed to overcome them

Machine learning-based approach: global trends, research directions, and regulatory standpoints

An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems

Dimensionality-Driven Learning with Noisy Labels

Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain

Understanding adversarial attacks on deep learning based medical image analysis systems

Privacy and Robustness in Federated Learning: Attacks and Defenses