beneficios de la l carnitina en el embarazo L-Carnitina Posibles efectos adversos de la

C.ArduraF.Hernndez-RamajoR.Martn-FerreroM

10.3390/ijms24129835 142 Wendorff-TobollaL

10.1016/j.biomaterials.2023.122301 41 IatridisJ

Comparison of velocity-selective-inversion arterial spin labeling schemes Rapid Bayesian inference for perfusion quantification using ASL-MRI with a VAE-based neural network structure Navigator-based slice tracking for liver pCASL using spin-echo EPI acquisition A novel Fourier-based perspective to analyze and compensate for corruption in arterial spin labeling MRI Combined Parkinsons Disease Related Patterns using ASL MRI and FDG PET Identifying Brain Resting-state Networks from Arterial Spin Labeling with Spectral Clustering MT-DICE for Simultaneous Quantification of Perfusion, Permeability, and Susceptibility Intensity-based Deep Learning for SPION concentration estimation in MR imaging Resolution Dependency Study of Cerebral Blood Volume and Vessel Size Index 3D Artificial Cerebral Blood Volume Generation from T1W Structural MRI Comparison of Blood Flow Measurement of Posterior Cerebral Circulation at Vertebral and Basilar Arteries Using Phase Contrast MRI Visualization of Collateral Vessels in 4D TRANCE MR Angiography Compaired with 3D TOF in Moyamoya Disease MRI evidence for reduced human brain oxygen metabolism during midazolam sedation DC-Swin: Deep Cascade of Swin Transformer with Sensitivity Map for Parallel MRI Reconstruction 2.5D Networks for Physics-Guided Deep Learning Reconstruction of 3D Non-Cartesian MRI from Limited Training Data Greedy Learning for Memory-Efficient Self-Supervised MRI Reconstruction High Resolution MR Reconstruction with Functionally Separate Neural Networks Improving variational network based 2D MRI reconstruction via feature-space data consistency Accelerate Single-Channel 3D MRI through Undersampling and Deep Neural Network Reconstruction Deep Unfolding MR reconstruction - weighting the k-space sampling Density in training Loss (wkDeLo) A Regularized Conditional GAN for Posterior Sampling in MR Image Reconstruction Acquisition Adaptive Unrolled Deep Learning Framework for Parallel MRI Posterior Sampling for Accelerated Multicoil MRI Reconstruction using a Conditional Normalizing Flow MixRecon: A neural network mixing CNN and Transformer utilizes hybrid representations of image features for Accelerated MRI Reconstruction Model-based neural ODE network for parallel MRI reconstruction Multicoil Deep Equilibrium MRI Reconstruction Recovery with self-calibrated denoisers from multiple undersampled images (ReSiDe-M) Accelerating MRI Using Vision Transformer with Unpaired Unsupervised Training On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging Deep Learning-based MRI Reconstruction with Artificial Fourier Transform(AFT)-Net When System Model meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging Self-Supervised MR Image Reconstruction with Stage-by-Stage Data Refinement Accelerated MRI Reconstruction Using a Lightweight Recurrent Transformer: ReconFormer Through-plane Super-resolution of Prostate MRI Using Diffusion Models Deep learning of 3D T2-weighted MRI provides support for arachnoid granulation hypertrophy in patients with Parkinsons disease Deep learning improves the estimation of fiber orientation distribution for tractography in the human Automated hybrid approach to diagnose Parkinson's disease via deep learning and radiomics Biophysical model estimation of white matter using machine learning combined dictionary-based non-negative linear least square optimization Association of neuroanatomical changes with neuropsychological changes in Treated Adult HIV-Positive Patients The effects of brain diffusion MRI preprocessing pipelines in a clinical study of neurodegenerative disease Generative diffusion model for DSC MRI artifact correction Image distortion correction for diffusion MRI using U-Net and Transformer MP-PCA image denoising technique for high resolution quantitative susceptibility mapping (QSM) of the human brain in vivo Manifold Learning and Dimensionality Estimation for the Human Functional Connectome Realizing a robust multi-task training strategy with deep learning: application in Spine MR image quality assessment Respiratory Motion Artifact Simulation for DL application in Cardiac MR Image Quality Assessment Deep Learning based prediction of the planes for automated planning of MRI imaging of cervical neural foramina and lumbar pars interarticularis Deep learning-based saturation band placement in spine localizer images Within Patient Contrast Adjustment Through a Self-Consistent Deep Learning Model when Imaging Near Metal: An Example in Angiography Real-time style transfer for quantitative susceptibility mapping using unsupervised learning CloudBrain-LabelAI: An Online Intelligent Medical Imaging Annotation and Training Platform Self-contained comprehensive quantification of dynamic contrast-enhanced MRI using physics+kinetics-based network learning (PKNet) Predicting the Risk of Non-Saccular Aneurysms Based on the Dynamic Contrast-Enhanced Magnetic Resonance Imaging To evaluate the utility of magnetization transfer (MT) imaging in the study of normal uterus and common uterine lesions