BiTr-Unet: A CNN-Transformer Combined Network for MRI Brain Tumor Segmentation. - Qiran Jia; Hai Shu (BrainLes@MICCAI (2), 2021)

mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. - Hai Shu; Ronghua Shi; Qiran Jia; Hongtu Zhu; Ziqi Chen 002 (IJCNN, 2022)

DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data. - Taehyo Kim; Hai Shu; Qiran Jia; Mony J. de Leon (AISTATS, 2024)

LUCIDus: An R Package For Implementing Latent Unknown Clustering By Integrating Multi-omics Data (LUCID) With Phenotypic Traits. - Yinqi Zhao; Qiran Jia; Jesse A. Goodrich; David V. Conti (R J., 2025)

A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data. - Taehyo Kim; Qiran Jia; Mony J. de Leon; Hai Shu (CoRR, 2025)