msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping von He, Junjie, Peng, Yunsong, Fu, Bangkang, Zhu, Yuemin, Wang, Lihui, Wang, Rongpin

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StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images von Fu, Bangkang, Zhang, Mudan, He, Junjie, Cao, Ying, Guo, Yuchen, Wang, Rongpin

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HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation von Fu, Bangkang, Peng, Yunsong, He, Junjie, Tian, Chong, Sun, Xinhuan, Wang, Rongpin

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SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images von He, Junjie, Zhang, Mudan, Li, Wuchao, Peng, Yunsong, Fu, Bangkang, Liu, Chen, Wang, Jian, Wang, Rongpin

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TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma von Sun, Xinhuan, Li, Wuchao, Fu, Bangkang, Peng, Yunsong, He, Junjie, Wang, Lihui, Yang, Tongyin, Meng, Xue, Li, Jin, Wang, Jinjing, Huang, Ping, Wang, Rongpin

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mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain von He, Junjie, Fu, Bangkang, Xiong, Zhenliang, Peng, Yunsong, Wang, Rongpin

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Medical image segmentation method based on multi-scale feature fusion von FU BANGKANG, SUN XINHUAN, WANG RONGPIN, PENG YUNSONG, HE JUNJIE

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Weak supervision classification method for pathological image mixed multi-instance learning based on double attention von FU BANGKANG, SUN XINHUAN, WANG RONGPIN, PENG YUNSONG, HE JUNJIE, LI WUCHAO

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Multi-parameter MRI breast focus auxiliary diagnosis method based on generative adversarial technology von FU BANGKANG, SUN XINHUAN, PENG YUNSONG, WANG RONGPIN, ZHANG BING, YANG ZHENLU, TIAN CHONG, TANG LEI, HE JUNJIE, HAN RONGCHENG

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