Image de couverture de livre

Image space formalism of convolutional neural networks for k-space interpolation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dawood, Peter, Breuer, Felix, Homolya, Istvan, Gram, Maximilian, Jakob, Peter M., Zaiss, Moritz, Blaimer, Martin
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Medical Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Image space formalism of convolutional neural networks for k‐space interpolation
par: P. Dawood, et autres
Publié: (2025)

Controlling spatial correlation in k-space interpolation networks for MRI reconstruction: denoising versus apparent blurring
par: Homolya, Istvan, et autres
Publié: (2025)

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
par: Rempe, M., et autres
Publié: (2024)

Generalizable synthetic MRI with physics-informed convolutional networks
par: Jacobs, Luuk, et autres
Publié: (2023)

Rotary Excitation of non-sinusoidal pulsed magnetic fields: Towards non-invasive direct detection of cardiac conduction
par: Albertova, Petra, et autres
Publié: (2023)

Controlling sharpness, SNR and SAR for 3D FSE at 7T by end-to-end learning
par: Dawood, Peter, et autres
Publié: (2024)

Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
par: Williams, Josh, et autres
Publié: (2023)

ResDynUNet++: A nested U-Net with residual dynamic convolution blocks for dual-spectral CT
par: Yuan, Ze, et autres
Publié: (2025)

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
par: Yiasemis, George, et autres
Publié: (2024)

Multi-head automated segmentation by incorporating detection head into the contextual layer neural network
par: Kys, Edwin, et autres
Publié: (2026)

Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI
par: Mao, Andrew, et autres
Publié: (2023)

Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy
par: Weragoda, Sugandima, et autres
Publié: (2024)

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT
par: Moriakov, Nikita, et autres
Publié: (2024)

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm
par: Blumenthal, Moritz, et autres
Publié: (2025)

Rapid patient-specific neural networks for intraoperative X-ray to volume registration
par: Gopalakrishnan, Vivek, et autres
Publié: (2025)

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
par: Solomon, Eddy, et autres
Publié: (2024)

SIREM: Speech-Informed MRI Reconstruction with Learned Sampling
par: Hasan, Md, et autres
Publié: (2026)

Online learning in motion modeling for intra-interventional image sequences
par: Gunnarsson, Niklas, et autres
Publié: (2024)

Design, Implementation and Analysis of a Compressed Sensing Photoacoustic Projection Imaging System
par: Haltmeier, Markus, et autres
Publié: (2024)

LDConv: Linear deformable convolution for improving convolutional neural networks
par: Zhang, Xin, et autres
Publié: (2023)

UltraScatter: Ray-Based Simulation of Ultrasound Scattering
par: Duelmer, Felix, et autres
Publié: (2025)

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
par: Moriakov, Nikita, et autres
Publié: (2025)

Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction
par: Webber, George, et autres
Publié: (2024)

Exploiting network optimization stability for enhanced PET image denoising using deep image prior
par: Hashimoto, Fumio, et autres
Publié: (2025)

A Realistic Collimated X-Ray Image Simulation Pipeline
par: El-Zein, Benjamin, et autres
Publié: (2024)

Development of an Unpaired Deep Neural Network for Synthesizing X-ray Fluoroscopic Images from Digitally Reconstructed Tomography in Image Guided Radiotherapy
par: Hayashi, Chisako, et autres
Publié: (2025)

$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
par: Zhang, Liping, et autres
Publié: (2023)

Supervised Diffusion-Model-Based PET Image Reconstruction
par: Webber, George, et autres
Publié: (2025)

Automatic Tissue Differentiation in Parotidectomy using Hyperspectral Imaging
par: Wisotzky, Eric L., et autres
Publié: (2024)

Adaptive local boundary conditions to improve Deformable Image Registration
par: Inacio, Eloïse, et autres
Publié: (2024)

Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification
par: Yang, Zhenyu, et autres
Publié: (2025)

Clinical Metadata Guided Limited-Angle CT Image Reconstruction
par: Shi, Yu, et autres
Publié: (2025)

Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
par: Hahne, Christopher, et autres
Publié: (2024)

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
par: Lei, Yang, et autres
Publié: (2024)

Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
par: Balcerak, Michal, et autres
Publié: (2024)

On filter design in deep convolutional neural network
par: Hirani, Gaurav, et autres
Publié: (2024)

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction
par: Webber, George, et autres
Publié: (2025)

Physics-Constrained Diffusion Reconstruction with Posterior Correction for Quantitative and Fast PET Imaging
par: Hou, Yucun, et autres
Publié: (2025)

Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation
par: Summerfield, Nicholas, et autres
Publié: (2025)

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction
par: Li, Xia, et autres
Publié: (2024)