Juzheng Miao

According to our database, Juzheng Miao authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation.

Juzheng Miao, Siping Zhou, Guang-Quan Zhou, Kai-Ni Wang, Meng Yang, Shoujun Zhou, Yang Chen

IEEE Trans. Medical Imaging, April, 2024

2023

Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes.

Kaini Wang, Shuaishuai Zhuang, Juzheng Miao, Yang Chen, Jie Hua, Guang-Quan Zhou, Xiaopu He, Shuo Li

IEEE J. Biomed. Health Informatics, October, 2023

CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading.

Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan

CoRR, 2023

MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation.

Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li

CoRR, 2023

CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation.

Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images.

Kai-Ni Wang, Xin Yang, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou, Xiahai Zhuang, Dong Ni

Medical Image Anal., 2022

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification.

Kai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fine-Grained Correlation Loss for Regression.

Chaoyu Chen, Xin Yang, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Learn Fine-Grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images.

Guangquan Zhou, Juzheng Miao, Xin Yang, Rui Li, En-Ze Huo, Wenlong Shi, Yuhao Huang, Jikuan Qian, Chaoyu Chen, Dong Ni

IEEE J. Biomed. Health Informatics, 2021

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound.

Ruobing Huang, Zehui Lin, Haoran Dou, Jian Wang, Juzheng Miao, Guangquan Zhou, Xiaohong Jia, Wenwen Xu, Zihan Mei, Yijie Dong, Xin Yang, Jianqiao Zhou, Dong Ni

Medical Image Anal., 2021

2020

Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound.

Jian Wang, Juzheng Miao, Xin Yang, Rui Li, Guangquan Zhou, Yuhao Huang, Zehui Lin, Wufeng Xue, Xiaohong Jia, Jianqiao Zhou, Ruobing Huang, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020