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Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance
v1v2v3 (latest)

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance

IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
21 March 2022
Qinqin Yang
Zi Wang
Kunyuan Guo
C. Cai
X. Qu
    PINNOODMedImAI4CE
ArXiv (abs)PDFHTML

Papers citing "Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance"

22 / 22 papers shown
Title
Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning
Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning
Chen Qian
Haoyu Zhang
Junnan Ma
Liuhong Zhu
Qingrui Cai
...
Jianhua Wang
Di Guo
Hai Zhong
Jianjun Zhou
X. Qu
OODMedIm
72
0
0
17 Oct 2025
PALo: Learning Posture-Aware Locomotion for Quadruped Robots
Xiangyu Miao
Jun Sun
Hang Lai
Xinpeng Di
Jiahang Cao
Yong Yu
Weinan Zhang
252
0
0
06 Mar 2025
Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRSNeuroImage (NeuroImage), 2025
Runhan Chen
Meijin Lin
Jianshu Chen
L. Lin
Jiazheng Wang
...
Shaoxing Liu
Yuan Long
Di Guo
X. Qu
Haiwei Han
152
0
0
06 Mar 2025
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction
Linyu Fan
Che Wang
Ming Ye
Qizhi Yang
Zejun Wu
Xinghao Ding
Yue Huang
Jianfeng Bao
S. Cai
C. Cai
MedIm
483
0
0
05 Mar 2025
Single Exposure Quantitative Phase Imaging with a Conventional
  Microscope using Diffusion Models
Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024
Gabriel della Maggiora
L. Croquevielle
Harry Horsley
Thomas Heinis
Artur Yakimovich
MedIm
157
1
0
06 Jun 2024
Simultaneous Deep Learning of Myocardium Segmentation and T2
  Quantification for Acute Myocardial Infarction MRI
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI
Yirong Zhou
Chengyan Wang
Mengtian Lu
Kunyuan Guo
Zi Wang
...
Liuhong Zhu
Jianjun Zhou
Congbo Cai
He Wang
Xiaobo Qu
285
1
0
17 May 2024
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
Zi Wang
Min Xiao
Yirong Zhou
Chengyan Wang
Naiming Wu
...
Congbo Cai
He Wang
D. Guo
Guang Yang
Xiaobo Qu
267
10
0
24 Feb 2024
Quantitative Analysis of Molecular Transport in the Extracellular Space
  Using Physics-Informed Neural Network
Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network
Jiayi Xie
Hongfeng Li
Jin Cheng
Qingrui Cai
Hanbo Tan
Lingyun Zu
Xiaobo Qu
Hongbin Han
294
5
0
23 Jan 2024
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial
  Intelligence
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial IntelligenceMagnetic Resonance Letters (MRL), 2023
Yirong Zhou
Yanhuang Wu
Yuhan Su
Jing Li
Jianyun Cai
Yongfu You
D. Guo
X. Qu
238
7
0
18 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive
  Survey
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen
Zihui Yan
Yunjie Zhu
250
5
0
30 Sep 2023
A plug-and-play synthetic data deep learning for undersampled magnetic
  resonance image reconstruction
A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction
Min Xiao
Zehao Wang
Jiefeng Guo
Xiaobo Qu
OODMedIm
187
0
0
13 Sep 2023
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR
  Spectroscopy Processing, Reconstruction and Analysis
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and AnalysisIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023
Di Guo
Sijin Li
Jun Liu
Zhangren Tu
Tianyu Qiu
...
Donghai Lin
Qing Hong
Meijin Lin
Yanqin Lin
X. Qu
137
2
0
12 Sep 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable
  Deep Learning for Fast MRI Reconstruction
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
Zehao Wang
Xiaotong Yu
Chengyan Wang
Weibo Chen
Jiazheng Wang
...
C. Cai
Zhongze Chen
D. Guo
Guang Yang
X. Qu
AI4CE
255
19
0
25 Jul 2023
Deep Learning of Crystalline Defects from TEM images: A Solution for the
  Problem of "Never Enough Training Data"
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
Kishan Govind
D. Oliveros
A. Dlouhý
M. Legros
Stefan Sandfeld
118
10
0
12 Jul 2023
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations
  of Imperfection Factors and Macromolecular Signal
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular SignalIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Dicheng Chen
Meijin Lin
Huiting Liu
Jiayu Li
Yirong Zhou
...
Jing Li
Jianzhong Lin
Xi Chen
D. Guo
X. Qu
177
5
0
16 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and PerspectivesACM Computing Surveys (ACM Comput. Surv.), 2023
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINNAI4CE
317
55
0
29 May 2023
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks
  with Soft-Thresholding
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-ThresholdingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Chunyan Xiong
Meng Lu
Xiaotong Yu
JIAN-PENG Cao
Zhong Chen
D. Guo
X. Qu
MLT
302
1
0
14 Apr 2023
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix
  Factorization
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization
JIAN-PENG Cao
Chao Qian
Yihui Huang
Dicheng Chen
Yuncheng Gao
Jiyang Dong
D. Guo
X. Qu
329
1
0
29 Dec 2022
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic
  Resonance Imaging
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance ImagingIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Zehao Wang
H. Fang
Chen Qian
Boxuan Shi
L. Bao
...
Jianjun Zhou
Wenping Wei
Jianzhong Lin
D. Guo
X. Qu
276
12
0
23 Oct 2022
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data:
  Break Training Data Bottleneck in Artificial Intelligence
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence
Chen Qian
Yuncheng Gao
Mingyang Han
Zi Wang
Dan Ruan
...
Meijin Lin
D. Guo
Jianjun Zhou
Meiyun Wang
Xiaobo Qu
DiffMMedImOOD
322
0
0
20 Oct 2022
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI
Zi Wang
Chao Qian
D. Guo
Hongwei Sun
Rushuai Li
Bo Zhao
X. Qu
191
59
0
09 Dec 2021
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In
  Vivo Data
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data
Dicheng Chen
Wanqi Hu
Huiting Liu
Yirong Zhou
Tianyu Qiu
...
Xi Chen
Gen Yan
D. Guo
Jianzhong Lin
X. Qu
265
1
0
26 Jan 2021
1