A numerical investigation of blow-up in reaction-diffusion problems with traveling heat sources. - Hancan Zhu; Kewei Liang; Xiaoliang Cheng (J. Comput. Appl. Math., 2010)

An adaptive algorithm for the Thomas-Fermi equation. - Shengfeng Zhu; Hancan Zhu; Qingbiao Wu; Yasir Khan (Numer. Algorithms, 2012)

Random local binary pattern based label learning for multi-atlas segmentation. - Hancan Zhu; Hewei Cheng; Yong Fan 001 (Image Processing, 2015)

Metric learning for label fusion in multi-atlas based image segmentation. - Hancan Zhu; Hewei Cheng; Xuesong Yang; Yong Fan 001 (ISBI, 2016)

Metric Learning for Multi-atlas based Segmentation of Hippocampus. - Hancan Zhu; Hewei Cheng; Xuesong Yang; Yong Fan 001 (Neuroinformatics, 2017)

The convergence rate of semi-supervised regression with quadratic loss. - Baohuai Sheng; Hancan Zhu (Appl. Math. Comput., 2018)

Patch-based local learning method for cerebral blood flow quantification with arterial spin-labeling MRI. - Hancan Zhu; Guanghua He; Ze Wang (Medical Biol. Eng. Comput., 2018)

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. - Hancan Zhu; Feng Shi 001; Li Wang 026; Sheng-Che Hung; Meng-Hsiang Chen; Shuai Wang 002; Weili Lin; Dinggang Shen (Frontiers Neuroinformatics, 2019)

Joint Neighboring Coding with a Low-Rank Constraint for Multi-Atlas Based Image Segmentation. - Hancan Zhu; Guanghua He (J. Medical Imaging Health Informatics, 2020)

FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation. - Hancan Zhu; Ehsan Adeli 001; Feng Shi 001; Dinggang Shen (Neuroinformatics, 2020)

Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. - Shuai Wang 003; Yang Cong; Hancan Zhu; Xianyi Chen; Liangqiong Qu; Huijie Fan; Qiang Zhang 008; Mingxia Liu 001 (IEEE J. Biomed. Health Informatics, 2021)

Editorial: Weakly supervised deep learning-based methods for brain image analysis. - Hancan Zhu; Mingxia Liu 001; Zhenyu Tang 002; Shuai Wang 003 (Frontiers Neuroinformatics, 2022)

Deep convolutional neural network for hippocampus segmentation with boundary region refinement. - Guanghua He; Guying Zhang; Lianlian Zhou; Hancan Zhu (Medical Biol. Eng. Comput., 2023)

Enhancing Hippocampus Segmentation: SwinUNETR Model Optimization with CPS. - Wangang Cheng; Guanghua He; Hancan Zhu (PRCV (14), 2024)

LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors. - Guanghua He; Wangang Cheng; Hancan Zhu; Gaohang Yu (CoRR, 2024)

A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis. - Wangang Cheng; Guanghua He; Keli Hu; Mingyu Fang; Liang Dong; Zhong Li; Hancan Zhu (CoRR, 2024)

DGCPPISP: a PPI site prediction model based on dynamic graph convolutional network and two-stage transfer learning. - Zijian Feng; Weihong Huang; Haohao Li; Hancan Zhu; Yanlei Kang; Zhong Li (BMC Bioinform., 2024)

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation. - Guanghua He; Wangang Cheng; Hancan Zhu; Xiaohao Cai; Gaohang Yu (CoRR, 2025)

MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation. - Hancan Zhu; Jinhao Chen; Guanghua He (CoRR, 2025)