Cheng-Jian Qiu

According to our database, Cheng-Jian Qiu authored at least 15 papers between 2019 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

Automatic medical report generation combining contrastive learning and feature difference.

Chongwen Lyu, Chengjian Qiu, Kai Han, Saisai Li, Victor S. Sheng, Huan Rong, Yuqing Song, Yi Liu, Zhe Liu

Knowl. Based Syst., 2024

Deep semi-supervised learning for medical image segmentation: A review.

Kai Han, Victor S. Sheng, Yuqing Song, Yi Liu, Chengjian Qiu, Siqi Ma, Zhe Liu

Expert Syst. Appl., 2024

MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities.

Chengjian Qiu, Yuqing Song, Yi Liu, Yan Zhu, Kai Han, Victor S. Sheng, Zhe Liu

Biomed. Signal Process. Control., 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

Multi-task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion.

Kaiwen Chen, Chunyu Zhang, Chengjian Qiu, Yuqing Song, Anthony Miller, Lu Liu, Imran Ul Haq, Zhe Liu

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

LC-SegDiff: Label-Constraint Diffusion Model for Medical Image Segmentation.

Yonghan Lu, Chengjian Qiu, Qiaoying Teng, Jun Chen, Robert C. Free, Lu Liu, Yuqing Song, Zhe Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

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

Self-supervision Adversarial Learning Network for Liver Lesion Classification.

Cong Ma, Zhe Liu, Yuqing Song, Cheng-Jian Qiu, Aihong Yu, Jiawen Zhang

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

2019

Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP.

Zhe Liu, Cheng-Jian Qiu, Yu-Qing Song, Xiaohong Liu, Juan Wang, Victor S. Sheng

J. Comput. Sci. Technol., 2019