LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising. - Dayang Wang; Yongshun Xu; Shuo Han 009; Zhan Wu; Li Zhou 014; Bahareh Morovati; Hengyong Yu (CoRR, 2023)

Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis. - Bahareh Morovati; Reza Lashgari; Mojtaba Hajihasani; Hasti Shabani (J. Digit. Imaging, 2023)

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising. - Li Zhou 014; Dayang Wang; Yongshun Xu; Shuo Han 009; Bahareh Morovati; Shuyi Fan; Hengyong Yu (MICCAI (12), 2024)

ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction. - Li Zhou 014; Changsheng Fang; Bahareh Morovati; Yongtong Liu; Shuo Han 009; Yongshun Xu; Hengyong Yu (CoRR, 2024)

LoMAE: Simple Streamlined Low-Level Masked Autoencoders for Robust, Generalized, and Interpretable Low-Dose CT Denoising. - Dayang Wang; Shuo Han 009; Yongshun Xu; Zhan Wu; Li Zhou 014; Bahareh Morovati; Hengyong Yu (IEEE J. Biomed. Health Informatics, 2024)

Photon-Counting CT Reconstruction Using Separable Attention-Based Tensor Neural Network Prior. - Bahareh Morovati; Shuo Han 009; Li Zhou 014; Dayang Wang; Hengyong Yu (ISBI, 2025)

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction. - Changsheng Fang; Yongtong Liu; Bahareh Morovati; Shuo Han 009; Yu Shi; Li Zhou 014; Shuyi Fan; Hengyong Yu (CoRR, 2025)