| Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis GLH Wong, VWK Hui, Q Tan, J Xu, HW Lee, TCF Yip, B Yang, YK Tse, ... JHEP Reports 4 (3), 100441, 2022 | 28 | 2022 |
| Face image illumination processing based on generative adversarial nets W Ma, X Xie, C Yin, J Lai 2018 24th International Conference on Pattern Recognition (ICPR), 2558-2563, 2018 | 14 | 2018 |
| Focusing on clinically interpretable features: selective attention regularization for liver biopsy image classification C Yin, S Liu, R Shao, PC Yuen Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 8 | 2021 |
| Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis J Lu, C Yin, O Krause, K Erleben, MB Nielsen, S Darkner International Workshop on Interpretability of Machine Intelligence in …, 2022 | 2 | 2022 |
| Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images C Yin, S Liu, VWS Wong, PC Yuen Proceedings of the Thirty-First International Joint Conference on …, 2022 | 2 | 2022 |
| cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis J Lu, C Yin, K Erleben, MB Nielsen, S Darkner 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |
| MACHINE LEARNING MODEL IS MORE ACCURATE THAN CONVENTIONAL RISK SCORES TO PREDICT HEPATOCELLULAR CARCINOMA IN PATIENTS WITH CHRONIC VIRAL HEPATITIS GLH Wong, VWK Hui, Q Tan, TCF Yip, YK Tse, C Yin, V Wong, PC Yuen HEPATOLOGY 74, 92A-92A, 2021 | | 2021 |
| Towards Understanding Deep Policy Gradients: A Case Study on PPO B Liu, C Yin | | 2020 |
| MACHINE LEARNING MODELS TO PREDICT HEPATOCELLULAR CARCINOMA IN PATIENTS WITH CHRONIC VIRAL HEPATITIS–A TERRITORY-WIDE STUDY FROM HOSPITAL AUTHORITY DATA COLLABORATION LAB … GLHC Wong, Q Tan, YK Tse, B Yang, TCF Yip, C Yin, VWK Hui, BW Yuen, ... The Liver Meeting Digital Experience™, 2020 | | 2020 |
