Cover Image

Optimizing Transmit Field Inhomogeneity of Parallel RF Transmit Design in 7T MRI using Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Zhengyi, Liang, Hao, Wang, Xiao, Yan, Xinqiang, Huo, Yuankai
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast-RF-Shimming: Accelerate RF Shimming in 7T MRI using Deep Learning
by: Lu, Zhengyi, et al.
Published: (2025)

MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI
by: Lu, Zhengyi, et al.
Published: (2026)

Disentangled Representation Learning with Transmitted Information Bottleneck
by: Dang, Zhuohang, et al.
Published: (2023)

STT-GS: Sample-Then-Transmit Edge Gaussian Splatting with Joint Client Selection and Power Control
by: Li, Zhen, et al.
Published: (2025)

Field-of-View Extension for Brain Diffusion MRI via Deep Generative Models
by: Gao, Chenyu, et al.
Published: (2024)

CT-NeRF: Incremental Optimizing Neural Radiance Field and Poses with Complex Trajectory
by: Ran, Yunlong, et al.
Published: (2024)

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
by: Wang, Kun, et al.
Published: (2023)

SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images
by: Zheng, Jintu, et al.
Published: (2024)

Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient
by: Zhu, Yanfan, et al.
Published: (2024)

SlimmeRF: Slimmable Radiance Fields
by: Yuan, Shiran, et al.
Published: (2023)

DeepLatent: Think with Images via Parallel Latent Visual Reasoning
by: Lu, Dongchen, et al.
Published: (2026)

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
by: Cui, Ziteng, et al.
Published: (2023)

Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise
by: Huang, Qinglong, et al.
Published: (2024)

Fast Electromagnetic and RF Circuit Co-Simulation for Passive Resonator Field Calculation and Optimization in MRI
by: Zhang, Zhonghao, et al.
Published: (2025)

PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields
by: Chen, Zheng, et al.
Published: (2023)

Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing
by: Yang, Yuechen, et al.
Published: (2026)

Robust Fiber Orientation Distribution Function Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI
by: Yao, Tianyuan, et al.
Published: (2023)

SCR2-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning
by: Zhu, Junchao, et al.
Published: (2025)

Uncertainty-Based Ensemble Learning in CMR Semantic Segmentation
by: Liu, Yiwei, et al.
Published: (2025)

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
by: Bao, Yanqi, et al.
Published: (2023)

SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation
by: Cao, Xiao, et al.
Published: (2024)

MSR:Hybrid Field Modeling for CT-MRI Rigid-Deformable Registration of the Cervical Spine with an Annotated Dataset
by: Zhang, Bohai, et al.
Published: (2026)

MC-NeRF: Multi-Camera Neural Radiance Fields for Multi-Camera Image Acquisition Systems
by: Gao, Yu, et al.
Published: (2023)

DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstruction
by: Liu, Bo, et al.
Published: (2025)

Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
by: Lee, Ho Hin, et al.
Published: (2025)

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception
by: Huo, Guohao, et al.
Published: (2025)

SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields
by: Wang, Yuanjian, et al.
Published: (2025)

VF-NeRF: Viewshed Fields for Rigid NeRF Registration
by: Segre, Leo, et al.
Published: (2024)

Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)

DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
by: Zhao, Ruowen, et al.
Published: (2025)

OPONeRF: One-Point-One NeRF for Robust Neural Rendering
by: Zheng, Yu, et al.
Published: (2024)

M-Net: MRI Brain Tumor Sequential Segmentation Network via Mesh-Cast
by: Lu, Jiacheng, et al.
Published: (2025)

PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation
by: Lu, Jiacheng, et al.
Published: (2026)

Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
by: Long, Yitian, et al.
Published: (2025)

Is-NeRF: In-scattering Neural Radiance Field for Blurred Images
by: Luo, Nan, et al.
Published: (2025)

mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis
by: Liu, Quan, et al.
Published: (2024)

DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction
by: Zhu, Junchao, et al.
Published: (2026)

SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
by: Zhu, Lin, et al.
Published: (2024)

LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection
by: Liu, Zhengyi, et al.
Published: (2024)

Hyperparameter Optimization and Reproducibility in Deep Learning Model Training
by: Afzaal, Usman, et al.
Published: (2025)