Ikuti
Weijie Gan
Weijie Gan
PhD in CSE @ WashU
Email yang diverifikasi di wustl.edu - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
RARE: Image reconstruction using deep priors learned without groundtruth
J Liu, Y Sun, C Eldeniz, W Gan, H An, US Kamilov
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1088-1099, 2020
1822020
Sgd-net: Efficient model-based deep learning with theoretical guarantees
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 598-610, 2021
422021
Online deep equilibrium learning for regularization by denoising
J Liu, X Xu, W Gan, U Kamilov
Advances in Neural Information Processing Systems 35, 25363-25376, 2022
342022
Phase2phase: Respiratory motion-resolved reconstruction of free-breathing magnetic resonance imaging using deep learning without a ground truth for improved liver imaging
C Eldeniz*, W Gan*, S Chen, TJ Fraum, DR Ludwig, Y Yan, J Liu, T Vahle, ...
Investigative Radiology 56 (12), 809-819, 2021
31*2021
Deformation-compensated learning for image reconstruction without ground truth
W Gan, Y Sun, C Eldeniz, J Liu, H An, US Kamilov
IEEE transactions on medical imaging 41 (9), 2371-2384, 2022
29*2022
SPICER: Self‐supervised learning for MRI with automatic coil sensitivity estimation and reconstruction
Y Hu*, W Gan*, C Ying, T Wang, C Eldeniz, J Liu, Y Chen, H An, ...
Magnetic Resonance in Medicine, 2024
21*2024
Learning cross-video neural representations for high-quality frame interpolation
W Shangguan, Y Sun, W Gan, US Kamilov
European Conference on Computer Vision, 511-528, 2022
182022
Learning‐based motion artifact removal networks for quantitative mapping
X Xu, SVVN Kothapalli, J Liu, S Kahali, W Gan, DA Yablonskiy, ...
Magnetic resonance in medicine 88 (1), 106-119, 2022
182022
Self-supervised deep equilibrium models with theoretical guarantees and applications to MRI reconstruction
W Gan, C Ying, PE Boroojeni, T Wang, C Eldeniz, Y Hu, J Liu, Y Chen, ...
IEEE Transactions on Computational Imaging 9, 796-807, 2023
15*2023
Image reconstruction for mri using deep cnn priors trained without groundtruth
W Gan, C Eldeniz, J Liu, S Chen, H An, US Kamilov
2020 54th Asilomar Conference on Signals, Systems, and Computers, 475-479, 2020
142020
Block coordinate plug-and-play methods for blind inverse problems
W Gan, Y Hu, J Liu, H An, U Kamilov
Advances in Neural Information Processing Systems 36, 2023
132023
DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging
H Xie*, W Gan*, B Zhou, X Chen, Q Liu, X Guo, L Guo, H An, US Kamilov, ...
arXiv e-prints, arXiv: 2311.04248, 2023
12*2023
Systems and methods of reconstructing magnetic resonance images using deep learning
H An, U Kamilov, W Gan, C Eldeniz, LIU Jiaming
US Patent 12,000,918, 2024
82024
Dose-aware diffusion model for 3D low-dose PET: multi-institutional validation with reader study and real low-dose data
H Xie, W Gan, B Zhou, MK Chen, M Kulon, A Boustani, BA Spencer, ...
arXiv preprint arXiv:2405.12996, 2024
72024
Ptychodv: Vision transformer-based deep unrolling network for ptychographic image reconstruction
W Gan, Q Zhai, MT McCann, CG Cardona, US Kamilov, B Wohlberg
IEEE Open Journal of Signal Processing 5, 539-547, 2024
72024
Stochastic deep unfolding for imaging inverse problems
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
Joint reconstruction and calibration using regularization by denoising with application to computed tomography
M Xie, J Liu, Y Sun, W Gan, B Wohlberg, US Kamilov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
72021
CoRRECT: a deep unfolding framework for motion-corrected quantitative R2* mapping
X Xu, W Gan, SVVN Kothapalli, DA Yablonskiy, US Kamilov
arXiv preprint arXiv:2210.06330, 2022
62022
MR‐assisted PET respiratory motion correction using deep‐learning based short‐scan motion fields
S Chen, TJ Fraum, C Eldeniz, J Mhlanga, W Gan, T Vahle, ...
Magnetic resonance in medicine 88 (2), 676-690, 2022
62022
DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5 D Diffusion Model
Y Hu, SVVN Kothapalli, W Gan, AL Sukstanskii, GF Wu, M Goyal, ...
Proc. Int. Symp. Biomedical Imaging (ISBI), 2024
52024
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