Research of Fault Diagnosis on Numerically-Controlled System. - Qinghua Li; Chunshan He; Shiqiang Ma (CSISE (3), 2011)

The impact of fear of the sea on working memory performance: a research based on virtual reality. - Dandan Pan; Qing Xu 002; Shiqiang Ma; Kunlong Zhang (VRST, 2018)

Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network. - Jie Song; Jiawei Li; Shiqiang Ma; Jijun Tang; Fei Guo 001 (BIBM, 2020)

A Deep Supervision CNN Network for Brain Tumor Segmentation. - Shiqiang Ma; Zehua Zhang; Jiaqi Ding; Xuejian Li; Jijun Tang; Fei Guo 001 (BrainLes@MICCAI (2), 2020)

MIASNet: A medical image segmentation method predicting future based on past and current cases. - Shiqiang Ma; Xuejian Li; Jijun Tang; Fei Guo 001 (BIBM, 2021)

GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture. - Shiqiang Ma; Xuejian Li; Zehua Zhang; Jijun Tang; Fei Guo 001 (BIBM, 2021)

A Zero-Shot Method for 3D Medical Image Segmentation. - Shiqiang Ma; Xuejian Li; Jijun Tang; Fei Guo 001 (ICME, 2021)

Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation. - Nanxing Zhang; Shiqiang Ma; Xuejian Li; Jiahui Zhang; Jijun Tang; Fei Guo 001 (BIBM, 2022)

Inferring gene regulatory network via fusing gene expression image and RNA-seq data. - Xuejian Li; Shiqiang Ma; Jin Liu 012; Jijun Tang; Fei Guo 001 (Bioinform., 2022)

TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation. - Xuejian Li; Shiqiang Ma; Jijun Tang; Fei Guo 001 (CoRR, 2022)

EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation. - Shiqiang Ma; Xuejian Li; Jijun Tang; Fei Guo 001 (CoRR, 2022)

MixUNet: Mix the 2D and 3D Models for Robust Medical Image Segmentation. - Jiawei Li; Shizhan Chen; Shiqiang Ma; Fei Guo 001; Jijun Tang (BIBM, 2023)

SiamSegNet: A multimodal Segmentation Method Based on Cross-modal Generation for Medical Image Segmentation. - Shiqiang Ma; Fei Guo 001; Jijun Tang (DASFAA (3), 2024)

Aggregate-aware model with bidirectional edge generation for medical image segmentation. - Shiqiang Ma; Xuejian Li; Jijun Tang; Fei Guo 001 (Appl. Soft Comput., 2024)

TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation. - Xuejian Li; Shiqiang Ma; Junhai Xu; Jijun Tang; Shengfeng He; Fei Guo 001 (Expert Syst. Appl., 2024)

Self-Support Prototype-Aware For Few-Shot Semantic Segmentation. - Jiaxiang Fang; Shiqiang Ma; Shengfeng He; Fei Guo 001 (ICASSP, 2025)