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Juzheng Miao
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2020 – today
- 2024
- [j7]Hao Wei
, Peilun Shi, Juzheng Miao
CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading. Comput. Biol. Medicine 175: 108459 (2024) - [j6]Cheng Chen
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 98: 103310 (2024) - [j5]Juzheng Miao
SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 43(4): 1347-1364 (2024) - [c6]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. MICCAI (11) 2024: 167-177 - [c5]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. MICCAI (11) 2024: 297-307 - [i10]Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu:
Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. CoRR abs/2405.13584 (2024) - [i9]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. CoRR abs/2407.05412 (2024) - [i8]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. CoRR abs/2407.05416 (2024) - 2023
- [j4]Kaini Wang
Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes. IEEE J. Biomed. Health Informatics 27(10): 4816-4827 (2023) - [c4]Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng:
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV 2023: 21369-21380 - [i7]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:
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR abs/2309.08842 (2023) - [i6]Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan
CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading. CoRR abs/2309.15493 (2023) - 2022
- [j3]Kai-Ni Wang, Xin Yang, Juzheng Miao, Lei Li
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images. Medical Image Anal. 77: 102362 (2022) - [c3]Kai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification. MICCAI (3) 2022: 78-87 - [c2]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:
Fine-Grained Correlation Loss for Regression. MICCAI (8) 2022: 663-672 - [i5]Kai-Ni Wang, Xin Yang, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou, Xiahai Zhuang, Dong Ni:
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.05344 (2022) - [i4]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:
Fine-grained Correlation Loss for Regression. CoRR abs/2207.00347 (2022) - [i3]Kai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification. CoRR abs/2207.01287 (2022) - 2021
- [j2]Ruobing Huang, Zehui Lin
AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound. Medical Image Anal. 72: 102137 (2021) - [j1]Guangquan Zhou
Learn Fine-Grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images. IEEE J. Biomed. Health Informatics 25(10): 3854-3864 (2021) - [i2]Guangquan Zhou, Juzheng Miao, Xin Yang, Rui Li, En-Ze Huo, Wenlong Shi, Yuhao Huang, Jikuan Qian, Chaoyu Chen, Dong Ni:
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images. CoRR abs/2105.09124 (2021) - 2020
- [c1]Jian Wang, Juzheng Miao, Xin Yang, Rui Li, Guangquan Zhou
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound. MICCAI (6) 2020: 190-199 - [i1]Jian Wang, Juzheng Miao, Xin Yang, Rui Li, Guangquan Zhou, Yuhao Huang, Zehui Lin, Wufeng Xue, Xiaohong Jia, Jianqiao Zhou, Ruobing Huang, Dong Ni:
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound. CoRR abs/2008.03435 (2020)
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