Yang, Guang
Royal Brompton Hospital · Imperial College London
6 papers on CoChatORCID 0000-0001-7344-7733
Most cited papers
- Verified
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · Apollo - University of Cambridge Repository
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 1,441
- Verified
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge
Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · arXiv
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 1,441
- Verified
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A. I., Etmann, C., McCague, C., Beer, L., et al. (2021) · Nature Machine Intelligence
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education
Cited by 1,044
- Verified
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: a mini-review, two showcases and beyond
Yang, G., Ye, Q., & Xia, J. (2022) · Information Fusion
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 717
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Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study
Ye, Q., Xia, J., & Yang, G. (2021) · 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)
Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI
Cited by 83
- Verified
Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges
Yang, G., Rao, A., Fernandez-Maloigne, C., Calhoun, V., & Menegaz, G. (2022) · 2022 IEEE International Conference on Image Processing (ICIP)
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 18
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