Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View.
Jianyu Qi, Ding Zou, Wenrui Yan, Rui Ma, Jiaxu Li, Zhijie Zheng, Zhiguo Yang, Rongchang Zhao*. [paper] [Download]
AAAI, 2026. (CCF A)

Multi-organ medical image segmentation via adaptive disentangled domain generalization collaborative learning.
Min Dong, Yishuang Liu, Ating Yang, Ye Zhang, Rongchang Zhao, Ling Liu. [paper] [Download]
Neurocomputing, 2026. (JCR Q1 with Impact Factor: 6.5)

RadKAM: Attention-driven Kolmogorov-Arnold Model for automatic radiation-induced lymphopenia prediction by multimodal learning.
Rongchang Zhao, Zhangyue Wu, Jian Zhang, Zijian Zhang, Shuo Li. [paper] [Download]
MICCAI, 2025. (CCF B)

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation.
Rongchang Zhao, Huanchi Liu, Jian Zhang. [paper] [Download]
BIBM, 2025. (CCF B)

CFTA: Class-wise Fair Test-time Adaptation of Biased Models for Long-tailed Recognition.
Rongchang Zhao, xiangkun jian, Jian Zhang. [paper] [Download]
BIBM, 2025. (CCF B)

AIDC: Benchmark for Analytical Learning in Incremental Disease Classification.
Rongchang Zhao, Jianyu Qi, Rui Li, Jian Zhang, Jiaxu Li. [paper] [Download]
icassp, 2025. (CCF B)

Uncertainty-aware consistency learning for semi-supervised medical image segmentation.
Min Dong, Ating Yang, Zhenhang Wang, Dezhen Li, Jing Yang, Rongchang Zhao*. [paper] [Download]
Knowledge Based Systerm, 2025. (JCR Q1 with Impact Factor: 7.6)

MIST: Multi-Instance Selective Transformer for Histopathological Subtype Prediction.
Rongchang Zhao, Zijun Xi, Huanchi Liu, Xiangkun Jian, Jian Zhang, Zijian Zhang, Shuo Li. [paper] [Download]
Medical Image Analysis (MedIA), 2024. (Top journal on Medical image analysis with Impact Factor: 10.9)

Generating synthesized computed tomography from CBCT/LDCT using a novel Generative-Transformer Adversarial-CNN.
Min Yuan, Yufei Xie, Rongchang Zhao*, Ningning Lv, Zijian Zhang, Liye Zhu, Xiaolin Wu. [paper] [Download]
Biomedical Signal Processing and Control, 2024. (JCR Q1 with Impact Factor: 4.9)

The macular inner plexiform layer thickness as an early diagnostic indicator for Parkinson’s disease.
Xin Wang, et.al., Rongchang Zhao , Lu Shen. [paper] [Download]
npj Parkinson's Disease, 2022. (Top journal on NEUROSCIENCES with Impact Factor: 8.651)

Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning.
Rongchang Zhao , Xuanlin Chen, Zailiang Chen, Shuo Li. [paper] [Download]
Medical Image Analysis (MedIA), 2021. (Top journal on Medical image analysis with Impact Factor: 8.54)

EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis.
Rongchang Zhao , Xuanlin Chen, Zailiang Chen, Shuo Li. [paper] [Download]
ECCV, 2020. (CCF B)

Improving Knowledge Distillation via Category Structure.
Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao [paper] [Download]
ECCV, 2020. (CCF B)

Non-rigid retinal image registration using an unsupervised structure-driven regression network.
Beiji Zou, Zhiyou He, Rongchang Zhao* , Chengzhang Zhu, Wangmin Liao, and Shou Li. DOI: 10.1016/j.neucom.2020.04.122 [paper] [Download]
Neurocomputing, 2020. (Impact Factor: 4.072)

A Survey of Dictionary Learning in Medical Image Analysis and Its Application for Glaucoma Diagnosis.
Rongchang Zhao* , Hong Li, and Xiyao Liu. DOI: 10.1007/s11831-019-09383-3 [paper] [Download]
Archives of Computational Methods in Engineering, 2019. (Impact Factor: 7.242)

A novel glaucomatous representation method based on Radon and wavelet transform.
Beiji Zou, Changlong Chen, Rongchang Zhao* , Pingbo Ouyang, Chengzhang Zhu, Qilin Chen, and Xuanchu Duan. DOI: 10.1186/s12859-019-3267-6 [paper]
[Download]
BMC Bioinformatics, 2019. (Impact Factor: 2.511)

Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning.
Rongchang Zhao* , and Shuo Li. [paper] [Download]
Medical Image Analysis (MedIA), 2020. (Top journal on Medical image analysis with Impact Factor: 11.148)

Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis.
WangMin Liao, BeiJi Zou, Rongchang Zhao* , YuanQiong Chen, ZhiYou He, and MengJie Zhou. [paper] [Download]
IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), 2019. (Top journal on Medical image analysis with Impact Factor: 4.217)

Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning.
Rongchang Zhao , Xuanlin Chen, Xiyao Liu, Zailiang Chen, Fan Guo and Shuo Li. [paper]
IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI), 2019. (Top journal on Medical image analysis with Impact Factor: 4.217)

Multi-index Optic Disc Quantification via MultiTask Ensemble Learning.
Rongchang Zhao , Zailiang Chen, Xiyao Liu, Beiji Zou, and Shuo Li. [paper] [Download]
The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. (Top conference on Medical image analysis)

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis.
Rongchang Zhao , Wangmin Liao, Beiji Zou, Zailiang Chen and Shuo Li. [paper] [Download]
The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral, Acceptance rate: ~7.14%)