Cover Image

A Physics-Driven Neural Network with Parameter Embedding for Generating Quantitative MR Maps from Weighted Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Lingjing, Zhang, Chengxiu, Yi, Yinqiao, Wang, Yida, Song, Yang, Yan, Xu, Xu, Shengfang, Zhu, Dalin, Cao, Mengqiu, Zhou, Yan, Wang, Chenglong, Yang, Guang
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A physics‐driven neural network with parameter embedding for generating quantitative MR maps from weighted images
by: Lingjing Chen, et al.
Published: (2026)

LINEAR: Learning Implicit Neural Representation With Explicit Physical Priors for Accelerated Quantitative T1rho Mapping
by: Liu, Yuanyuan, et al.
Published: (2024)

Plug-and-Play Latent Feature Editing for Orientation-Adaptive Quantitative Susceptibility Mapping Neural Networks
by: Gao, Yang, et al.
Published: (2023)

QSMnet-INR: Single-Orientation Quantitative Susceptibility Mapping via Implicit Neural Representation in k-Space
by: Cai, Xuan, et al.
Published: (2025)

Parameter-Efficient Instance-Adaptive Neural Video Compression
by: Yang, Hyunmo, et al.
Published: (2024)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
by: Lin, Shijie, et al.
Published: (2025)

Optimization of MR Fingerprinting for Free-Breathing Quantitative Abdominal Imaging
by: van Riel, Max H. C., et al.
Published: (2020)

Improving the Test-retest Reliability of Quantitative Susceptibility Mapping
by: Huang, Shuai, et al.
Published: (2024)

All-in-One Deep Learning Framework for MR Image Reconstruction
by: Jeong, Geunu, et al.
Published: (2024)

Maximum Spherical Mean Value (mSMV) Filtering for Whole Brain Quantitative Susceptibility Mapping
by: Roberts, Alexandra G., et al.
Published: (2023)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
by: Wang, Shanshan, et al.
Published: (2024)

Self-supervised feature learning for cardiac Cine MR image reconstruction
by: Xu, Siying, et al.
Published: (2025)

MoE-dqINR: A Unified Mixture-of-Experts Implicit Neural Representation Framework for Scan-Specific Dynamic and Quantitative MRI Reconstruction
by: Wu, Yinzhe, et al.
Published: (2026)

Activation Map-based Vector Quantization for 360-degree Image Semantic Communication
by: Ma, Yang, et al.
Published: (2024)

High-resolution myelin-water fraction and quantitative relaxation mapping using 3D ViSTa-MR fingerprinting
by: Liao, Congyu, et al.
Published: (2023)

D4PM: A Dual-branch Driven Denoising Diffusion Probabilistic Model with Joint Posterior Diffusion Sampling for EEG Artifacts Removal
by: Shao, Feixue, et al.
Published: (2025)

TaQ-DiT: Time-aware Quantization for Diffusion Transformers
by: Liu, Xinyan, et al.
Published: (2024)

Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference?
by: Wu, Yinzhe, et al.
Published: (2025)

Deep Learning-Driven Quantitative Spectroscopic Photoacoustic Imaging for Segmentation and Oxygen Saturation Estimation
by: Shang, Ruibo, et al.
Published: (2025)

PyPeT: A Python Perfusion Tool for Automated Quantitative Brain CT and MR Perfusion Analysis
by: Borghouts, Marijn, et al.
Published: (2025)

MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model
by: Zhao, Ting, et al.
Published: (2024)

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging
by: Zhao, Ting, et al.
Published: (2025)

Analyzing Model Misspecification in Quantitative MRI: Application to Perfusion ASL
by: Wang, Jiachen, et al.
Published: (2026)

RINN: One Sample Radio Frequency Imaging based on Physics Informed Neural Network
by: Shang, Fei, et al.
Published: (2025)

DehazeMamba: SAR-guided Optical Remote Sensing Image Dehazing with Adaptive State Space Model
by: Zhao, Zhicheng, et al.
Published: (2025)

DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography
by: Xue, Zhihao, et al.
Published: (2024)

DEMIST: Decoupled Multi-stream latent diffusion for Quantitative Myelin Map Synthesis
by: Wang, Jiacheng, et al.
Published: (2025)

Neural-Optic Co-Designed Polarization-Multiplexed Metalens for Compact Computational Spectral Imaging
by: Zhang, Qiangbo, et al.
Published: (2023)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
by: Yan, Hao, et al.
Published: (2024)

Technical report on target classification in SAR track
by: Xu, Haonan, et al.
Published: (2024)

Beyond MR Image Harmonization: Resolution Matters Too
by: Hays, Savannah P., et al.
Published: (2024)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
by: Huang, Wenqi, et al.
Published: (2024)

PlainUSR: Chasing Faster ConvNet for Efficient Super-Resolution
by: Wang, Yan, et al.
Published: (2024)

Data-Driven Calibration Technique for Quantitative Radar Imaging
by: Idriss, Zacharie, et al.
Published: (2025)

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description
by: Liu, Yipeng, et al.
Published: (2023)

Hybrid Kinetics Embedding Framework for Dynamic PET Reconstruction
by: Ye, Yubo, et al.
Published: (2024)

Survival Prediction Across Diverse Cancer Types Using Neural Networks
by: Yan, Xu, et al.
Published: (2024)

ELFATT: Efficient Linear Fast Attention for Vision Transformers
by: Wu, Chong, et al.
Published: (2025)

RimSet: Quantitatively Identifying and Characterizing Chronic Active Multiple Sclerosis Lesion on Quantitative Susceptibility Maps
by: Zhang, Jinwei, et al.
Published: (2023)

Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas
by: Eidex, Zach, et al.
Published: (2024)