Junshen Xu

According to our database, Junshen Xu authored at least 14 papers between 2017 and 2023.

Collaborative distances:

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

2023

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI.

Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

IEEE Trans. Medical Imaging, June, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.

Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

CoRR, 2023

Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space.

Molin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson

Proceedings of the Medical Imaging with Deep Learning, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.

Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

2022

SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI.

Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.

Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-scale Neural ODEs for 3D Medical Image Registration.

Junshen Xu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deformed2Self: Self-supervised Denoising for Dynamic Medical Imaging.

Junshen Xu, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information.

Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy.

Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network.

Junshen Xu, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency.

Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.

Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

200x Low-dose PET Reconstruction using Deep Learning.

Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk

CoRR, 2017