wovepaper — the arXiv observatory

NewEvery arXiv paper, its researchers & institutions — mapped.

papers

Publications (14)

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging

Chen Qian, Zi Wang, Xinlin Zhang +9

Backward Stochastic Differential Equations and Feynman-Kac Formula for Multidimensional LÃ©vy Processes, with Applications in Finance

Jianzhong Lin

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

Zi Wang, Xiaotong Yu, Chengyan Wang +25

physics.med-ph2022

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data

Dicheng Chen, Wanqi Hu, Huiting Liu +13

Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning

Chen Qian, Haoyu Zhang, Junnan Ma +26

Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence

Chen Qian, Haoyu Zhang, Yuncheng Gao +23

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI

Yirong Zhou, Chengyan Wang, Mengtian Lu +17

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation

Yirong Zhou, Chen Qian, Jiayu Li +11

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging

Zi Wang, Haoming Fang, Chen Qian +8

CloudBrain-MRS: An Intelligent Cloud Computing Platform for in vivo Magnetic Resonance Spectroscopy Preprocessing, Quantification, and Analysis

Xiaodie Chen, Jiayu Li, Dicheng Chen +13

FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning

Zejun Wu, Jiechao Wang, Zunquan Chen +9

Chaotic and Predictable Representations for Multidimensional LÃ©vy Processes

Jianzhong Lin

physics.med-ph2023

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal

Dicheng Chen, Meijin Lin, Huiting Liu +11

A General Stochastic Maximum Principle For Optimal Control Of Stochastic Systems Driven By Multidimensional Teugel's Martingales

Jianzhong Lin