Results 201 to 210 of about 65,094 (251)

The Impact and Reliability of Tissue Segmentation on In Vivo Magnetic Resonance Spectroscopy Metabolite Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantification of metabolite concentrations using MRS requires tissue‐dependent signal corrections. Accurate estimation of voxel tissue composition is therefore essential. Commonly used brain tissue segmentation tools differ in their algorithms and implementation, potentially introducing variability in MRS‐derived concentration ...
Jessica Archibald, Kay Chioma Igwe, Antonia Kaiser, Karl Landheer, Jaimie Lee, John L. K. Kramer, Aaron T. Gudmundson, Helge J. Zöllner, Georg Oeltzschner, Candace C. Fleischer, Niklaus Zölch, Jamie Near, Mark Mikkelsen   +12 more
wiley   +1 more source

Bayesian Temporal Prediction: A Robust Algorithm for Real-Time EEG Phase-Dependent Brain Stimulation. [PDF]

IEEE Trans Biomed Eng
Shirinpour S, Alekseichuk I, Guth MR, Haigh Z, Wischnewski M, Opitz A.   +5 more
europepmc   +1 more source

Uncertainty Quantification for Cardiac Diffusion Tensor Imaging Without Additional Datasets

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Cardiac diffusion tensor imaging (cDTI) is subject to physiological noise, thermal noise, and signal corruption, which cause errors in diffusion measures. While a larger dataset can be decimated to investigate the general precision of measures from fitting smaller datasets, uncertainty quantification (UQ) methods for fitting entire ...
Sam Coveney, Irvin Teh, May Lwin, Mehak Asad, Isaac Watson, Maryam Afzali, Erica Dall'Armellina, Jürgen E. Schneider   +7 more
wiley   +1 more source

Brain mechanisms underlying self-other distinction for bodily self-recognition. [PDF]

Front Neural Circuits
Oka YG, Isoda M.
europepmc   +1 more source

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

Extracting Weight of Evidence from p-Value via Bayesian Approach to Activation Likelihood Estimation Meta-Analysis. [PDF]

Brain Sci
Costa T, Manuello J, Cauda F, Crocetta A, Liloia D.   +4 more
europepmc   +1 more source

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra‐Low Field Using Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe, James Gholam, Leandro Beltrachini, Mara Cercignani, Derek Kenton Jones   +4 more
wiley   +1 more source

Emotion Processing in Schizophrenia: Insights From a Brain Imaging Study Comparing Patients, Siblings, and Healthy Controls. [PDF]

Hum Brain Mapp
Fiorito AM, Kheireddine A, Han H, Morel-Prieur C, Oriol N, Schneider FC, Sescousse G, Fakra E.   +7 more
europepmc   +1 more source

From Data to Decisions: How Machine Learning and Generative Artificial Intelligence Are Redefining Precision Medicine in Kidney Transplantation

Organ Medicine, EarlyView.
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley   +1 more source

Hidden State Inference or Continuous Belief Updating during a Dynamic Visuomotor Skill. [PDF]

J Neurosci
Harris DJ, Arthur T.
europepmc   +1 more source