Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification. - Lingyun Gao; Mingquan Ye; Xiaojie Lu; Daobin Huang (Genom. Proteom. Bioinform., 2017)

Brain Tumor Segmentation Based on 3D Unet with Multi-Class Focal Loss. - Jie Chang 001; Xiaoci Zhang; Minquan Ye; Daobin Huang; Peipei Wang; Chuanwen Yao (CISP-BMEI, 2018)

Learning rich features with hybrid loss for brain tumor segmentation. - Daobin Huang; Minghui Wang; Ling Zhang; Haichun Li; Minquan Ye; Ao Li 001 (BMC Medical Informatics Decis. Mak., 2021)

ncRNA-Protein Interaction Prediction using Convolutional Architecture with Cross-correlation Information. - Daobin Huang; Mingquan Ye; Jie Chang 001; Yuting Liu; Ling Zhang (ICBBT, 2022)

Improving Blood Cell Detection Accuracy using an Attention-based YOLOv5 Network. - Shuangyan Zhu; Yuan Zhou; Yuting Liu; Ming Hu; Daobin Huang (ICAICE, 2023)