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ORCIDWenqi Huang 0003
Person information
- affiliation: Technical University of Munich, Institutes of Radiology and Artificial Intelligence and Informatics in Medicine, Germany
- affiliation (former): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Research Center for Medical AI, China
Other persons with the same name
- Wenqi Huang 0001 (aka: WenQi Huang 0001, Wen-Qi Huang 0001, Wen Qi Huang 0001) — Huazhong University of Science and Technology, Wuhan, China
- Wenqi Huang 0002
![[0009-0004-9422-4589]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0004-9422-4589")
— China Southern Power Grid, Guangzhou, China (and 1 more) - Wenqi Huang 0004 — University of Manchester, Department of Electrical and Electronic Engineering, UK
- Wenqi Huang 0005 — NVIDIA
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2020 – today
- 2025
[i14]Veronika Spieker, Hannah Eichhorn, Wenqi Huang, Jonathan K. Stelter, Tabita Catalán, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel:
PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. CoRR abs/2501.09403 (2025)- 2024
- [j7]Jiazhen Pan, Manal Hamdi, Wenqi Huang, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert:
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. Medical Image Anal. 91: 103017 (2024) - [j6]Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik:
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. IEEE Trans. Medical Imaging 43(7): 2420-2433 (2024) - [c8]Patrick T. Haft, Wenqi Huang, Gastão Cruz, Daniel Rueckert, Veronika A. Zimmer, Kerstin Hammernik:
Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. Bildverarbeitung für die Medizin 2024: 82-87 - [c7]Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert:
Direct Cardiac Segmentation from Undersampled K-Space using Transformers. ISBI 2024: 1-4 - [c6]Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel:
Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. MICCAI (7) 2024: 614-624 - [i13]Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren, Daniel Rückert, Francisco Sahli Costabal, Kerstin Hammernik, Claudia Prieto, Dimitrios C. Karampinos, Julia A. Schnabel:
Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. CoRR abs/2404.08350 (2024) - [i12]Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert:
Direct Cardiac Segmentation from Undersampled K-space Using Transformers. CoRR abs/2406.00192 (2024) - [i11]Wenqi Huang, Veronika Spieker, Siying Xu, Gastão Cruz, Claudia Prieto, Julia A. Schnabel, Kerstin Hammernik, Thomas Kustner, Daniel Rueckert:
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. CoRR abs/2412.12742 (2024) - 2023
- [j5]Zhuo-Xu Cui, Sen Jia, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Leslie Ying, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging. IEEE Trans. Medical Imaging 42(12): 3540-3554 (2023) - [c5]Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastão Cruz, Daniel Rueckert, Kerstin Hammernik:
Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. IPMI 2023: 548-560 - [c4]Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis:
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. UNSURE@MICCAI 2023: 1-11 - [c3]Veronika A. Zimmer, Kerstin Hammernik, Vasiliki Sideri-Lampretsa, Wenqi Huang, Anna Reithmeir, Daniel Rueckert, Julia A. Schnabel:
Towards Generalised Neural Implicit Representations for Image Registration. DGM4MICCAI 2023: 45-55 - [c2]Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel:
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. DGM4MICCAI 2023: 183-192 - [c1]Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert:
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. MICCAI (10) 2023: 228-238 - [i10]Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik:
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging. CoRR abs/2302.02504 (2023) - [i9]Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert:
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling. CoRR abs/2307.12672 (2023) - [i8]Veronika Spieker, Wenqi Huang, Hannah Eichhorn, Jonathan K. Stelter, Kilian Weiss, Veronika A. Zimmer, Rickmer F. Braren, Dimitrios C. Karampinos, Kerstin Hammernik, Julia A. Schnabel:
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. CoRR abs/2308.08830 (2023) - [i7]Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis:
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. CoRR abs/2309.16831 (2023) - 2022
- [i6]Wenqi Huang, Hongwei Li, Gastão Cruz, Jiazhen Pan, Daniel Rueckert, Kerstin Hammernik:
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging. CoRR abs/2212.08479 (2022) - 2021
- [j4]Wenqi Huang, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep low-Rank plus sparse network for dynamic MR imaging. Medical Image Anal. 73: 102190 (2021) - [j3]Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. IEEE Trans. Computational Imaging 7: 1314-1327 (2021) - [j2]Jing Cheng, Zhuo-Xu Cui, Wenqi Huang, Ziwen Ke, Leslie Ying, Haifeng Wang, Yanjie Zhu, Dong Liang:
Learning Data Consistency and its Application to Dynamic MR Imaging. IEEE Trans. Medical Imaging 40(11): 3140-3153 (2021) - [j1]Ziwen Ke, Wenqi Huang, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Learned Low-Rank Priors in Dynamic MR Imaging. IEEE Trans. Medical Imaging 40(12): 3698-3710 (2021) - [i5]Ziwen Ke, Zhuoxu Cui, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Manifold Learning for Dynamic MR Imaging. CoRR abs/2104.01102 (2021) - [i4]Wenqi Huang, Sen Jia, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Yanjie Zhu, Dong Liang:
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging. CoRR abs/2104.05901 (2021) - [i3]Zhuo-Xu Cui, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Kankan Zhao, Ziwen Ke, Wenqi Huang, Haifeng Wang, Yanjie Zhu, Dong Liang:
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI. CoRR abs/2112.09891 (2021) - 2020
- [i2]Ziwen Ke, Wenqi Huang, Jing Cheng, Sen Jia, Haifeng Wang, Xin Liu, Hairong Zheng, Leslie Ying, Yanjie Zhu, Dong Liang:
Deep Low-rank Prior in Dynamic MR Imaging. CoRR abs/2006.12090 (2020) - [i1]Wenqi Huang, Ziwen Ke, Zhuoxu Cui, Jing Cheng, Zhilang Qiu, Sen Jia, Yanjie Zhu, Dong Liang:
Deep Low-rank plus Sparse Network for Dynamic MR Imaging. CoRR abs/2010.13677 (2020)
Coauthor Index
aka: Daniel Rückert
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