Parallel-in-time simulation of biofluids. - Weifan Liu; Minghao W. Rostami (J. Comput. Phys., 2022)

GNAS-U2Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search. - Junding Sun; Chong Yao; Jie Liu 044; Weifan Liu; Zekuan Yu (IEEE Signal Process. Lett., 2022)

Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation. - Huaqi Zhang; Jie Liu 044; Pengyu Wang 005; Zekuan Yu; Weifan Liu; Huang Chen (IEEE J. Biomed. Health Informatics, 2022)

The Traditional Cultural Interactive Experience System Based on Leap Motion. - Min Chen; Weifan Liu; Yujie Zhao; Amanda Gozho (BDIOT, 2023)

Development of a sign language gesture recognition system based on "RealSense". - Siya Lu; Dahai Ding; Ziqi Wang; Weiqi Kuang; Weifan Liu; Xiaoyu Wei; Ran Hu (BIC, 2023)

BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors. - Xiao Liu; Hongyi Chen; Chong Yao; Rui Xiang; Kun Zhou; Peng Du; Weifan Liu; Jie Liu 044; Zekuan Yu (Comput. Biol. Medicine, 2023)

TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion. - Mengting Liu; Xiaojie Li; Jie Liu 044; Weifan Liu; Zekuan Yu (Comput. Biol. Medicine, 2023)

A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis. - Zekuan Yu; Meijia Li; Jiacheng Yang; Zilong Chen; Huixian Zhang; Weifan Liu; Fang Kai Han; Jie Liu 044 (Cogn. Comput., 2023)

BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification. - Xiao Liu; Chong Yao; Hongyi Chen; Rui Xiang; Hao Wu; Peng Du; Zekuan Yu; Weifan Liu; Jie Liu 044; Daoying Geng (Comput. Medical Imaging Graph., 2023)

A multigrid method for kernel functions acting on interacting structures with applications to biofluids. - Weifan Liu; Minghao W. Rostami (J. Comput. Phys., 2023)

USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT. - Yixin Jing; Jie Liu 044; Weifan Liu; Zhicheng Yang; Zhongwei Zhou; Zekuan Yu (Biomed. Signal Process. Control., 2024)

SRTRP-Net: A multi-task learning network for segmentation and prediction of stereotactic radiosurgery treatment response in brain metastases. - Xiao Liu; Peng Du; Zhiguang Dai; Rumeng Yi; Weifan Liu; Hao Wu; Daoying Geng; Jie Liu (Comput. Biol. Medicine, 2024)

MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality. - Huaqi Zhang; Jie Liu 044; Weifan Liu; Huang Chen; Zekuan Yu; Yixuan Yuan; Pengyu Wang 005; Jing Qin 001 (IEEE J. Biomed. Health Informatics, 2024)

MATNet: a multi-attention transformer network for nuclei segmentation in thymoma histopathology images. - Jin Qin; Jie Liu; Weifan Liu; Huang Chen; Dingrong Zhong (Multim. Tools Appl., 2024)

Mixed-GGNAS: Mixed Search-space NAS based on genetic algorithm combined with gradient descent for medical image segmentation. - Mengxiang Hu; Junchi Li; Yongquan Dong; Zichen Zhang 002; Weifan Liu; Peilin Zhang; Yuchao Ping; Le Jiang; Zekuan Yu (Expert Syst. Appl., 2025)

A parallel-in-time method based on the Parareal algorithm and High-Order Dynamic Mode Decomposition with applications to fluid simulations. - Weifan Liu (CoRR, 2025)

FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise. - Mengwen Ye; Yingzi Huangfu; Shujian Gao; Wei Ren; Weifan Liu; Zekuan Yu (CoRR, 2025)