Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Weijie Gan

Weijie Gan
Alert button

SINCO: A Novel structural regularizer for image compression using implicit neural representations


Oct 26, 2022
Harry Gao, Weijie Gan, Zhixin Sun, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for SINCO: A Novel structural regularizer for image compression using implicit neural representations
Figure 2 for SINCO: A Novel structural regularizer for image compression using implicit neural representations
Figure 3 for SINCO: A Novel structural regularizer for image compression using implicit neural representations
Figure 4 for SINCO: A Novel structural regularizer for image compression using implicit neural representations

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping


Oct 12, 2022
Xiaojian Xu, Weijie Gan, Satya V. V. N. Kothapalli, Dmitriy A. Yablonskiy, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Figure 2 for CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Figure 3 for CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Figure 4 for CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees


Oct 07, 2022
Weijie Gan, Chunwei Ying, Parna Eshraghi, Tongyao Wang, Cihat Eldeniz, Yuyang Hu, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees
Figure 2 for Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees
Figure 3 for Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees
Figure 4 for Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation


Oct 05, 2022
Yuyang Hu, Weijie Gan, Chunwei Ying, Tongyao Wang, Cihat Eldeniz, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation
Figure 2 for SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation
Figure 3 for SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation
Figure 4 for SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Online Deep Equilibrium Learning for Regularization by Denoising


May 25, 2022
Jiaming Liu, Xiaojian Xu, Weijie Gan, Shirin Shoushtari, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for Online Deep Equilibrium Learning for Regularization by Denoising
Figure 2 for Online Deep Equilibrium Learning for Regularization by Denoising
Figure 3 for Online Deep Equilibrium Learning for Regularization by Denoising
Figure 4 for Online Deep Equilibrium Learning for Regularization by Denoising
* 28 pages, 8 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth


Apr 10, 2022
Weijie Gan, Cihat Eldeniz, Jiaming Liu, Sihao Chen, Hongyu An, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth
Figure 2 for Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth
Figure 3 for Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning Cross-Video Neural Representations for High-Quality Frame Interpolation


Feb 28, 2022
Wentao Shangguan, Yu Sun, Weijie Gan, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
Figure 2 for Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
Figure 3 for Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
Figure 4 for Learning Cross-Video Neural Representations for High-Quality Frame Interpolation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative $R_2^\ast$ Mapping


Sep 03, 2021
Xiaojian Xu, Satya V. V. N. Kothapalli, Jiaming Liu, Sayan Kahali, Weijie Gan, Dmitriy A. Yablonskiy, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative $R_2^\ast$ Mapping
Figure 2 for Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative $R_2^\ast$ Mapping
Figure 3 for Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative $R_2^\ast$ Mapping
Figure 4 for Learning-based Motion Artifact Removal Networks (LEARN) for Quantitative $R_2^\ast$ Mapping

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth


Jul 12, 2021
Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth
Figure 2 for MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth
Figure 3 for MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth
Figure 4 for MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees


Jan 22, 2021
Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

Add code
Alert button

Figure 1 for SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Figure 2 for SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Figure 3 for SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Figure 4 for SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>