Segmentation of the Multimodal Brain Tumor Images Used Res-U-Net. - Jindong Sun; Yanjun Peng; Dapeng Li; Yanfei Guo (BrainLes@MICCAI (1), 2020)

CCUT-Net: Pixel-Wise Global Context Channel Attention UT-Net for Head and Neck Tumor Segmentation. - Jiao Wang; Yanjun Peng; Yanfei Guo; Dapeng Li; Jindong Sun (HECKTOR@MICCAI, 2021)

Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN. - Jindong Sun; Yanjun Peng; Yanfei Guo; Dapeng Li (Neurocomputing, 2021)

MFAUNet: Multiscale feature attentive U-Net for cardiac MRI structural segmentation. - Dapeng Li 001; Yanjun Peng; Yanfei Guo; Jindong Sun (IET Image Process., 2022)

MLRD-Net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation. - Xue Chen; Yanjun Peng; Yanfei Guo; Jindong Sun; Dapeng Li; Jianming Cui (Medical Biol. Eng. Comput., 2022)

DSLN: Dual-tutor student learning network for multiracial glaucoma detection. - Yanfei Guo; Yanjun Peng; Jindong Sun; Dapeng Li 001; Bin Zhang 052 (Neural Comput. Appl., 2022)

A new piecewise reproducing kernel function algorithm for solving nonlinear Hamiltonian systems. - Jing Niu; Yuntao Jia; Jindong Sun (Appl. Math. Lett., 2023)

The multimodal MRI brain tumor segmentation based on AD-Net. - Yanjun Peng; Jindong Sun (Biomed. Signal Process. Control., 2023)

A histogram-driven generative adversarial network for brain MRI to CT synthesis. - Yanjun Peng; Jindong Sun; Yande Ren; Dapeng Li 001; Yanfei Guo (Knowl. Based Syst., 2023)

Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation. - Dapeng Li 001; Yanjun Peng; Jindong Sun; Yanfei Guo (Medical Biol. Eng. Comput., 2023)

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation. - Xue Chen; Yanjun Peng; Dapeng Li; Jindong Sun (J. Digit. Imaging, 2023)

The cross-modality survival prediction method of glioblastoma based on dual-graph neural networks. - Jindong Sun; Yanjun Peng (Expert Syst. Appl., 2024)