Junyu Chen

According to our database, Junyu Chen authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Pretraining Deformable Image Registration Networks with Random Images.

Junyu Chen, Shuwen Wei, Yihao Liu, Aaron Carass, Yong Du

CoRR, May, 2025

Beyond the LUMIR challenge: The pathway to foundational registration models.

Junyu Chen, Shuwen Wei, Joel Honkamaa, Pekka Marttinen, Hang Zhang, Min Liu, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Benedikt Wiestler, Tim Hable, Jin Kim, Dan Ruan, Frederic Madesta, Thilo Sentker, Wiebke Heyer, Lianrui Zuo, Yuwei Dai, Jing Wu, Jerry L. Prince, Harrison X. Bai, Yong Du, Yihao Liu, Alessa Hering, Reuben Dorent, Lasse Hansen, Mattias P. Heinrich, Aaron Carass

CoRR, May, 2025

A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond.

Junyu Chen, Yihao Liu, Shuwen Wei, Zhangxing Bian, Shalini Subramanian, Aaron Carass, Jerry L. Prince, Yong Du

Medical Image Anal., 2025

2024

On Finite Difference Jacobian Computation in Deformable Image Registration.

Yihao Liu, Junyu Chen, Shuwen Wei, Aaron Carass, Jerry L. Prince

Int. J. Comput. Vis., September, 2024

Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising.

Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong

IEEE Trans. Medical Imaging, June, 2024

Unsupervised learning of spatially varying regularization for diffeomorphic image registration.

Junyu Chen, Shuwen Wei, Yihao Liu, Zhangxing Bian, Yufan He, Aaron Carass, Harrison X. Bai, Yong Du

CoRR, 2024

Vector Field Attention for Deformable Image Registration.

Yihao Liu, Junyu Chen, Lianrui Zuo, Aaron Carass, Jerry L. Prince

CoRR, 2024

Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?

Zhangxing Bian, Ahmed Alshareef, Shuwen Wei, Junyu Chen, Yuli Wang, Jonghye Woo, Dzung L. Pham, Jiachen Zhuo, Aaron Carass, Jerry L. Prince

CoRR, 2024

From Registration Uncertainty to Segmentation Uncertainty.

Junyu Chen, Yihao Liu, Shuwen Wei, Zhangxing Bian, Aaron Carass, Yong Du

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives.

Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou

Medical Image Anal., April, 2023

Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration.

Junyu Chen, Yihao Liu, Yufan He, Yong Du

CoRR, 2023

SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images.

Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li

CoRR, 2023

Deformable Cross-Attention Transformer for Medical Image Registration.

Junyu Chen, Yihao Liu, Yufan He, Yong Du

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction.

Zhangxing Bian, Shuwen Wei, Yihao Liu, Junyu Chen, Jiachen Zhuo, Fangxu Xing, Jonghye Woo, Aaron Carass, Jerry L. Prince

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

TransMorph: Transformer for unsupervised medical image registration.

Junyu Chen, Eric C. Frey, Yufan He, William Paul Segars, Ye Li, Yong Du

Medical Image Anal., 2022

Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation.

Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li

CoRR, 2022

Unsupervised Learning of Diffeomorphic Image Registration via TransMorph.

Junyu Chen, Eric C. Frey, Yong Du

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

A Noise-Level-Aware Framework for PET Image Denoising.

Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021

Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks.

Junyu Chen, Ye Li, Licia P. Luna, Hyun Woo Chung, Steven P. Rowe, Yong Du, Lilja B. Solnes, Eric C. Frey

CoRR, 2021

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration.

Junyu Chen, Yufan He, Eric C. Frey, Ye Li, Yong Du

CoRR, 2021

2019

Generating Patient-like Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks.

Junyu Chen, Ye Li, Eric C. Frey

CoRR, 2019