OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 10.04.2026, 09:28

Guang Yang

950 Arbeiten20.503 Zitationen

Macau University of Science and Technology · MO

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

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

2021 · 672 Zit. · Information Fusion

Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images

2020 · 91 Zit. · IEEE Access

Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study

2021 · 80 Zit.

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation

2022 · 66 Zit. · Journal of Digital Imaging

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images

2021 · 36 Zit. · Applied Soft Computing

Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness

2024 · 35 Zit. · Computational and Structural Biotechnology Journal

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

2022 · 35 Zit. · Frontiers in Oncology

Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise

2021 · 32 Zit. · Radiology Artificial Intelligence

Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey

2023 · 21 Zit. · ACM Computing Surveys

Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

2021 · 15 Zit. · arXiv (Cornell University)

Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges

2022 · 13 Zit. · 2022 IEEE International Conference on Image Processing (ICIP)

Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study

2021 · 7 Zit. · arXiv (Cornell University)

Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey

2022 · 3 Zit. · arXiv (Cornell University)

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.

2021 · 3 Zit. · arXiv (Cornell University)

Ageing and Alzheimer’s Disease

2021 · 3 Zit. · Artificial Intelligence in Medicine