Deep Low-rank Prior in Dynamic MR Imaging. - Ziwen Ke; Wenqi Huang 003; Jing Cheng; Sen Jia 005; Haifeng Wang 003; Xin Liu 053; Hairong Zheng; Leslie Ying; Yanjie Zhu; Dong Liang 001 (CoRR, 2020)

Deep Low-rank plus Sparse Network for Dynamic MR Imaging. - Wenqi Huang 003; Ziwen Ke; Zhuoxu Cui; Jing Cheng; Zhilang Qiu; Sen Jia 005; Yanjie Zhu; Dong Liang 001 (CoRR, 2020)

Deep Manifold Learning for Dynamic MR Imaging. - Ziwen Ke; Zhuoxu Cui; Wenqi Huang 003; Jing Cheng; Sen Jia 005; Haifeng Wang 003; Xin Liu 053; Hairong Zheng; Leslie Ying; Yanjie Zhu; Dong Liang 001 (CoRR, 2021)

SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging. - Wenqi Huang 003; Sen Jia 005; Ziwen Ke; Zhuoxu Cui; Jing Cheng; Yanjie Zhu; Dong Liang 001 (CoRR, 2021)

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI. - Zhuo-Xu Cui; Jing Cheng; Qingyong Zhu; Yuanyuan Liu; Sen Jia 005; Kankan Zhao; Ziwen Ke; Wenqi Huang 003; Haifeng Wang 003; Yanjie Zhu; Dong Liang 001 (CoRR, 2021)

Deep low-Rank plus sparse network for dynamic MR imaging. - Wenqi Huang 003; Ziwen Ke; Zhuoxu Cui; Jing Cheng; Zhilang Qiu; Sen Jia 005; Leslie Ying; Yanjie Zhu; Dong Liang 001 (Medical Image Anal., 2021)

Deep Manifold Learning for Dynamic MR Imaging. - Ziwen Ke; Zhuo-Xu Cui; Wenqi Huang 003; Jing Cheng; Sen Jia 005; Leslie Ying; Yanjie Zhu; Dong Liang 001 (IEEE Trans. Computational Imaging, 2021)

Learning Data Consistency and its Application to Dynamic MR Imaging. - Jing Cheng; Zhuo-Xu Cui; Wenqi Huang 003; Ziwen Ke; Leslie Ying; Haifeng Wang 003; Yanjie Zhu; Dong Liang 001 (IEEE Trans. Medical Imaging, 2021)

Learned Low-Rank Priors in Dynamic MR Imaging. - Ziwen Ke; Wenqi Huang 003; Zhuo-Xu Cui; Jing Cheng; Sen Jia 005; Haifeng Wang 003; Xin Liu 053; Hairong Zheng; Leslie Ying; Yanjie Zhu; Dong Liang 001 (IEEE Trans. Medical Imaging, 2021)

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. - Wenqi Huang 003; Hongwei Bran Li; Jiazhen Pan; Gastão Cruz; Daniel Rueckert; Kerstin Hammernik (IPMI, 2023)

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. - Leonhard F. Feiner; Martin J. Menten; Kerstin Hammernik; Paul Hager; Wenqi Huang 003; Daniel Rueckert; Rickmer F. Braren; Georgios Kaissis (UNSURE@MICCAI, 2023)

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. - Jiazhen Pan; Suprosanna Shit; Özgün Turgut; Wenqi Huang 003; Hongwei Bran Li; Nil Stolt Ansó; Thomas Küstner; Kerstin Hammernik; Daniel Rueckert (MICCAI (10), 2023)

ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. - Veronika Spieker; Wenqi Huang 003; Hannah Eichhorn; Jonathan K. Stelter; Kilian Weiss; Veronika A. Zimmer; Rickmer F. Braren; Dimitrios C. Karampinos; Kerstin Hammernik; Julia A. Schnabel (DGM4MICCAI, 2023)

Towards Generalised Neural Implicit Representations for Image Registration. - Veronika A. Zimmer; Kerstin Hammernik; Vasiliki Sideri-Lampretsa; Wenqi Huang 003; Anna Reithmeir; Daniel Rueckert; Julia A. Schnabel (DGM4MICCAI, 2023)

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging. - Jiazhen Pan; Wenqi Huang 003; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (CoRR, 2023)

Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. - Zhuo-Xu Cui; Sen Jia 005; Jing Cheng; Qingyong Zhu; Yuanyuan Liu; Kankan Zhao; Ziwen Ke; Wenqi Huang 003; Haifeng Wang 003; Yanjie Zhu; Leslie Ying; Dong Liang 001 (IEEE Trans. Medical Imaging, 2023)

Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. - Patrick T. Haft; Wenqi Huang 003; Gastão Cruz; Daniel Rueckert; Veronika A. Zimmer; Kerstin Hammernik (Bildverarbeitung für die Medizin, 2024)

Direct Cardiac Segmentation from Undersampled K-Space using Transformers. - Yundi Zhang; Nil Stolt Ansó; Jiazhen Pan; Wenqi Huang 003; Kerstin Hammernik; Daniel Rueckert (ISBI, 2024)

Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (MICCAI (7), 2024)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rückert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (CoRR, 2024)

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. - Jiazhen Pan; Manal Hamdi; Wenqi Huang 003; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (Medical Image Anal., 2024)

Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. - Jiazhen Pan; Wenqi Huang 003; Daniel Rueckert; Thomas Küstner; Kerstin Hammernik (IEEE Trans. Medical Imaging, 2024)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. - Wenqi Huang 003; Veronika Spieker; Siying Xu; Gastão Cruz; Claudia Prieto; Julia A. Schnabel; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (IPMI (1), 2025)

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. - Veronika Spieker; Hannah Eichhorn; Wenqi Huang 003; Jonathan K. Stelter; Tabita Catalán; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Dimitrios C. Karampinos; Claudia Prieto; Julia A. Schnabel (CoRR, 2025)