Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. - Fang Liu 005; Julia V. Velikina; Walter F. Block; Richard Kijowski; Alexey A. Samsonov (IEEE Trans. Medical Imaging, 2017)

MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping. - Fang Liu 005; Li Feng; Richard Kijowski (CoRR, 2018)

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction. - Fang Liu 005; Lihua Chen; Richard Kijowski; Li Feng (CoRR, 2018)

SpecNet: Spectral Domain Convolutional Neural Network. - Bochen Guan; Jinnian Zhang; William A. Sethares; Richard Kijowski; Fang Liu 005 (CoRR, 2019)

Spectral Domain Convolutional Neural Network. - Bochen Guan; Jinnian Zhang; William A. Sethares; Richard Kijowski; Fang Liu 005 (ICASSP, 2021)

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging. - Chaojie Zhang; Shengjia Chen; Ozkan Cigdem; Haresh Rengaraj Rajamohan; Kyunghyun Cho; Richard Kijowski; Cem M. Deniz (CoRR, 2024)

Modified Risk Formulation for Improving the Prediction of Knee Osteoarthritis Progression. - Haresh Rengaraj Rajamohan; Richard Kijowski; Kyunghyun Cho; Cem M. Deniz (CoRR, 2024)

Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence. - Ozkan Cigdem; Eisa Hedayati; Haresh Rengaraj Rajamohan; Kyunghyun Cho; Gregory Chang; Richard Kijowski; Cem M. Deniz (Comput. Biol. Medicine, 2025)

A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis. - Haresh Rengaraj Rajamohan; Richard Kijowski; Kyunghyun Cho; Cem M. Deniz (Signal Image Video Process., 2025)