Copertina

Enhancing quality and speed in database-free neural network reconstructions of undersampled MRI with SCAMPI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Siedler, Thomas M., Jakob, Peter M., Herold, Volker
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhancing quality and speed in database‐free neural network reconstructions of undersampled MRI with SCAMPI
di: Thomas M. Siedler, et al.
Pubblicazione: (2024)

Fast undersampled dynamic MRI reconstruction using explicit representation learning with Gaussian splatting
di: Terpstra, M. L., et al.
Pubblicazione: (2026)

Transformer‐ and joint learning‐based dual‐domain networks for undersampled MRI segmentation
di: Jizhong Duan, et al.
Pubblicazione: (2024)

AI‐based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction models
di: Laurens Beljaards, et al.
Pubblicazione: (2024)

Greybox: A hybrid algorithm for direct estimation of tracer kinetic parameters from undersampled DCE‐MRI data
di: Aditya Rastogi, et al.
Pubblicazione: (2024)

Real-time cardiac cine MRI -- A comparison of a diffusion probabilistic model with alternative state-of-the-art image reconstruction techniques for undersampled spiral acquisitions
di: Schad, Oliver, et al.
Pubblicazione: (2024)

Deep equilibrium–adversarial robust unfolding network for MRI reconstruction
di: Tian Zhou, et al.
Pubblicazione: (2025)

MRI Simulation and Reconstruction Framework for Magnetic Vector Fields
di: Bschorr, Fabian, et al.
Pubblicazione: (2025)

A reconstruction algorithm of electrical impedance tomography based on one-dimensional convolutional neural network
di: Song, Zhenzhong, et al.
Pubblicazione: (2025)

Super‐resolution reconstruction of MR vessel wall images using a deep neural network
di: Wenjing Xu, et al.
Pubblicazione: (2025)

Streak artefact removal in x‐ray dark‐field computed tomography using a convolutional neural network
di: Tom Kumschier, et al.
Pubblicazione: (2024)

Controlling spatial correlation in k-space interpolation networks for MRI reconstruction: denoising versus apparent blurring
di: Homolya, Istvan, et al.
Pubblicazione: (2025)

Rapid 2D 23Na MRI of the calf using a denoising convolutional neural network
di: Baker, Rebecca R., et al.
Pubblicazione: (2024)

A noise robust image reconstruction using slice aware cycle interpolator network for parallel imaging in MRI
di: Jeewon Kim, et al.
Pubblicazione: (2024)

Magnetization transfer explains most of the $T_1$ variability in the MRI literature
di: Assländer, Jakob
Pubblicazione: (2024)

Rapid CNN‐based needle localization for automatic slice alignment in MR‐guided interventions using 3D undersampled radial white‐marker imaging
di: Jonas Frederik Faust, et al.
Pubblicazione: (2024)

Automatic quality assessment of knee radiographs using knowledge graphs and convolutional neural networks
di: Qian Wang, et al.
Pubblicazione: (2024)

Self‐supervised adversarial diffusion models for fast MRI reconstruction
di: Mojtaba Safari, et al.
Pubblicazione: (2025)

Improving reconstruction of patient‐specific abnormalities in AI‐driven fast MRI with an individually adapted diffusion model
di: Jinsoo Uh, et al.
Pubblicazione: (2025)

Automatic joint inflammation estimation based on regression neural networks
di: Yanli Li, et al.
Pubblicazione: (2025)

Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
di: Khatun, Rupali, et al.
Pubblicazione: (2023)

Cramér-Rao Bound Optimized Subspace Reconstruction in Quantitative MRI
di: Mao, Andrew, et al.
Pubblicazione: (2023)

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
di: Feng, Jie, et al.
Pubblicazione: (2022)

SMURF: Scalable method for unsupervised reconstruction of flow in 4D flow MRI
di: Hans, Atharva, et al.
Pubblicazione: (2025)

Singular value decomposition based under‐sampling pattern optimization for MRI reconstruction
di: Xinglong Liang, et al.
Pubblicazione: (2025)

Effect of a consistent reconstruction algorithm on inter‐scanner reproducibility in diffusion MRI
di: Qiang Liu, et al.
Pubblicazione: (2025)

Distribution matching with subset‐ k ‐space embedding for multi‐contrast MRI reconstruction
di: Yu Guan, et al.
Pubblicazione: (2025)

Self‐supervised arbitrary‐scale super‐angular resolution diffusion MRI reconstruction
di: Shuangxing Wang, et al.
Pubblicazione: (2025)

Dynamic cone beam CT reconstruction via spatiotemporal Gaussian neural representation
di: Yabo Fu, et al.
Pubblicazione: (2025)

Image space formalism of convolutional neural networks for k-space interpolation
di: Dawood, Peter, et al.
Pubblicazione: (2024)

Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks
di: Aravind R. Krishnan, et al.
Pubblicazione: (2024)

The role of dendritic spines in water exchange measurements with diffusion MRI: Double Diffusion Encoding and free-waveform MRI
di: Chakwizira, Arthur, et al.
Pubblicazione: (2025)

A neural network to create super‐resolution MR from multiple 2D brain scans of pediatric patients
di: Jose Benitez‐Aurioles, et al.
Pubblicazione: (2024)

An end‐to‐end deep learning method for reconstructing SMS‐PI accelerated musculoskeletal MRI
di: Mahmoud Mostapha, et al.
Pubblicazione: (2025)

Report on the quantitative intra‐voxel incoherent motion diffusion MRI reconstruction grand challenge
di: Xiaoyu Hu, et al.
Pubblicazione: (2025)

Rational Approximation of Golden Angles: Accelerated Reconstructions for Radial MRI
di: Scholand, Nick, et al.
Pubblicazione: (2024)

Enhanced brain tumor classification in MRI using an optimized deep random graph dilated diffusion convolutional attention network
di: Jaswinder Singh, et al.
Pubblicazione: (2025)

An implicit neural deformable ray model for limited and sparse view‐based spatiotemporal reconstruction
di: Yuanwei He, et al.
Pubblicazione: (2025)

Fast MRI of bones in the knee -- An AI-driven reconstruction approach for adiabatic inversion recovery prepared ultra-short echo time sequences
di: Nunn, Philipp Hans, et al.
Pubblicazione: (2025)

Low‐dose spectral CT reconstruction based on structural prior network
di: Yuedong Liu, et al.
Pubblicazione: (2025)