Cover Image

Field strength-dependent performance variability in deep learning-based analysis of magnetic resonance imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qadir, Muhammad Ibtsaam, Schonlau, Duane, Dydak, Ulrike, Kolbinger, Fiona R.
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Medical Physics J.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Limited-angle SPECT image reconstruction using deep image prior
by: Hori, Kensuke, et al.
Published: (2025)

Quantitative perfusion and water transport time model from multi b-value diffusion magnetic resonance imaging validated against neutron capture microspheres
by: Liu, M., et al.
Published: (2023)

Comparing DWI image quality of deep-learning-reconstructed EPI with RESOLVE in breast lesions at 3.0T: a pilot study
by: Tsarouchi, Marialena I., et al.
Published: (2024)

Comparing the physical characteristics of ultrasound and magnetic resonance imaging to diagnose ovarian cysts
by: Jassim, Tariq Nadhim, et al.
Published: (2024)

Extracting quantitative biological information from brightfield cell images using deep learning
by: Helgadottir, Saga, et al.
Published: (2020)

Low contrast detection and super-resolution in CT images: evaluation of a novel approach based on Centroidal Voronoi Tessellation
by: Lasagni, Lorenzo
Published: (2025)

Probabilistic volumetric speckle suppression in OCT using deep learning
by: Chintada, Bhaskara Rao, et al.
Published: (2023)

$μ$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning
by: Jallais, Maëliss, et al.
Published: (2023)

Ultrashort echo time and zero echo time MR imaging and their applications at high magnetic fields: A literature survey
by: More, Soham Sharad, et al.
Published: (2022)

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
by: Yousefirizi, Fereshteh, et al.
Published: (2022)

Toward ground-truth optical coherence tomography via three-dimensional unsupervised deep learning processing and data
by: Wu, Renxiong, et al.
Published: (2023)

Multi-dynamic deep image prior for cardiac MRI
by: Vornehm, Marc, et al.
Published: (2024)

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
by: Deshpande, Rucha, et al.
Published: (2024)

Performance of GAN-based augmentation for deep learning COVID-19 image classification
by: Fedoruk, Oleksandr, et al.
Published: (2023)

Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiography
by: Tang, Songyuan, et al.
Published: (2024)

Conditional Diffusion Models for CT Image Synthesis from CBCT: A Systematic Review
by: Altalib, Alzahra, et al.
Published: (2025)

Ghost imaging-based Non-contact Heart Rate Detection
by: Yu, Jianming, et al.
Published: (2024)

Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imaging
by: Zhu, Zheren, et al.
Published: (2024)

Optimization of Dark-Field CT for Lung Imaging
by: Guo, Peiyuan, et al.
Published: (2024)

X-ray dark-field via spectral propagation-based imaging
by: Ahlers, Jannis N., et al.
Published: (2023)

Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation
by: Epstein, Sean C., et al.
Published: (2022)

Small metal artifact detection and inpainting in cardiac CT images
by: McKeown, Trevor, et al.
Published: (2024)

Robust phase retrieval with complexity-guidance for coherent X-ray imaging
by: Butola, Mansi, et al.
Published: (2022)

Resolving quantitative MRI model degeneracy in self-supervised machine learning
by: Minore, Giulio V., et al.
Published: (2025)

Influence of Medical Foreign Bodies on Dark-Field Chest Radiographs: First experiences
by: Kaster, Lennard, et al.
Published: (2024)

Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
by: Wang, Yang, et al.
Published: (2024)

First performance of hybrid spectra CT reconstruction: a general Spectrum-Model-Aided Reconstruction Technique (SMART)
by: Pan, Huiying, et al.
Published: (2024)

VOLT: Volumetric Wide-Field Microscopy via 3D-Native Probabilistic Transport
by: He, Yetao, et al.
Published: (2026)

Virtual Extended-Range Tomography (VERT): Contact-free realistic ultrasonic bone imaging
by: Chung-Jukko, Aaron, et al.
Published: (2024)

Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data
by: Ciupek, Dominika, et al.
Published: (2025)

A comprehensive liver CT landmark pair dataset for evaluating deformable image registration algorithms
by: Zhang, Zhendong, et al.
Published: (2024)

Data-driven imaging geometric recovery of ultrahigh resolution robotic micro-CT for in-vivo and other applications
by: Li, Mengzhou, et al.
Published: (2024)

Let Distortion Guide Restoration (DGR): A physics-informed learning framework for Prostate Diffusion MRI
by: Long, Ziyang, et al.
Published: (2026)

Intraoperative perfusion assessment by continuous, low-latency hyperspectral light-field imaging: development, methodology, and clinical application
by: Kray, Stefan, et al.
Published: (2025)

Coherence Based Sound Speed Aberration Correction -- with clinical validation in fetal ultrasound
by: Vrålstad, Anders Emil, et al.
Published: (2024)

Choroidal thinning assessment through facial video analysis
by: He, Qinghua, et al.
Published: (2024)

Rapid online deep artifact suppression for real-time spiral bSSFP CMR with blipped-CAIPI simultaneous multi-slice imaging at 1.5 T
by: Åkesson, Julius, et al.
Published: (2026)

Timing is everything: How subtle timing changes in MRI echo planar imaging can significantly alter mechanical vibrations and sound level
by: Seginer, Amir, et al.
Published: (2025)

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
by: Schad, Oliver, et al.
Published: (2024)

Systematic Review on Learning-based Spectral CT
by: Bousse, Alexandre, et al.
Published: (2023)