Chong Yin

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

Kenny Erleben, Oswin Krause, S. Darkner, 2022, ArXiv.

Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images

Siqi Liu, P. Yuen, Chong Yin, 2022, IJCAI.

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

Kenny Erleben, Oswin Krause, S. Darkner, 2022, iMIMIC@MICCAI.

Long-term follow-up of Dupuytren disease after injection of triamcinolone acetonide in Chinese patients in Taiwan

M-C Chang, Tung-Fu Huang, H.-H. M. Yu, 2017, The Journal of hand surgery, European volume.

Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis

V. Wong, Qingxiong Tan, G. Wong, 2022, JHEP reports : innovation in hepatology.

Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification

Pong C. Yuen, Rui Shao, Siqi Liu, 2021, MICCAI.

cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis

Kenny Erleben, S. Darkner, M. B. Nielsen, 2022, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).