Junshen Xu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 21

Top Topics

Medical Image Registration

Medical Imaging

Top Venues

Publications

Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. CoRR (2023)
Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. PIPPI@MICCAI (2023)
Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. IEEE Trans. Medical Imaging 42 (6) (2023)
Molin Zhang, Junshen Xu, Yamin Arefeen, Elfar Adalsteinsson
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space. MIDL (2023)
Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. MICCAI (6) (2022)
Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. CoRR (2022)
Junshen Xu, Elfar Adalsteinsson
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging. CoRR (2021)
Junshen Xu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun
Multi-scale Neural ODEs for 3D Medical Image Registration. CoRR (2021)
Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning. MICCAI (7) (2021)
Junshen Xu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun
Multi-scale Neural ODEs for 3D Medical Image Registration. MICCAI (4) (2021)
Junshen Xu, Elfar Adalsteinsson
Deformed2Self: Self-supervised Denoising for Dynamic Medical Imaging. MICCAI (2) (2021)
Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning. CoRR (2021)
Junshen Xu, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network. ASMUS/PIPPI@MICCAI (2020)
Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency. CoRR (2020)
Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency. MICCAI (6) (2020)
Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy. MICCAI (6) (2020)
Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk
Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. Medical Imaging: Image Processing (2020)
Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy. CoRR (2020)
Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson
Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network. MICCAI (4) (2019)
Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network. CoRR (2019)
Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk
200x Low-dose PET Reconstruction using Deep Learning. CoRR (2017)