Kai Han

According to our database, Kai Han authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CPSNet: a cyclic pyramid-based small lesion detection network.

Yan Zhu, Zhe Liu, Yuqing Song, Kai Han, Chengjian Qiu, Yangyang Tang, Jiawen Zhang, Yi Liu

Multim. Tools Appl., April, 2024

Imbalance multiclass problem: a robust feature enhancement-based framework for liver lesion classification.

Rui Hu, Yuqing Song, Yi Liu, Yan Zhu, Nuo Feng, Chengjian Qiu, Kai Han, Qiaoying Teng, Imran Ul Haq, Zhe Liu

Multim. Syst., April, 2024

2023

CMFCUNet: cascaded multi-scale feature calibration UNet for pancreas segmentation.

Cheng-Jian Qiu, Yuqing Song, Zhe Liu, Jing Yin, Kai Han, Yi Liu

Multim. Syst., April, 2023

Cascaded multi-point regression Network for high-quality generic lesion detection.

Han Li, Huan Rong, Victor S. Sheng, Yuqing Song, Cheng-Jian Qiu, Kai Han, Zhe Liu

Expert Syst. Appl., 2023

RTUNet: Residual transformer UNet specifically for pancreas segmentation.

Cheng-Jian Qiu, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng

Biomed. Signal Process. Control., 2023

A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach.

Siqi Ma, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Yang Jiang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Sample Selection Based on Uncertainty for Combating Label Noise.

Shuohui Hao, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Victor S. Sheng, Yan Zhu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Noisy-to-Clean Label Learning for Medical Image Segmentation.

Zihao Bu, Xiaoxiao Wang, Chengjian Qiu, Zhixuan Wang, Kai Han, Xiuhong Shan, Zhe Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

An Effective Semi-Supervised Approach for Liver CT Image Segmentation.

Kai Han, Lu Liu, Yu-Qing Song, Yi Liu, Cheng-Jian Qiu, Yangyang Tang, Qiaoying Teng, Zhe Liu

IEEE J. Biomed. Health Informatics, 2022

A survey on the interpretability of deep learning in medical diagnosis.

Qiaoying Teng, Zhe Liu, Yu-Qing Song, Kai Han, Yang Lu

Multim. Syst., 2022

Improving CT-image universal lesion detection with comprehensive data and feature enhancements.

Zhe Liu, Kai Han, Kaifeng Xue, Yuqing Song, Lu Liu, Yangyang Tang, Yan Zhu

Multim. Syst., 2022

HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.

Wen Hao, Jing Zhang, Jun Su, Yuqing Song, Zhe Liu, Yi Liu, Cheng-Jian Qiu, Kai Han

Comput. Methods Programs Biomed., 2022

2021

Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks.

Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng

Multim. Syst., 2021

Automatic CT Lesion Detection Based on Feature Pyramid Inference with Multi-scale Response.

Yangyang Tang, Zhe Liu, Yuqing Song, Kai Han, Jun Su, Wenqiang Wang, Fan Hu, Jiawen Zhang

Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021