Results 101 to 110 of about 38,801 (275)
$$ {\boldsymbol{T}}_{\mathbf{2}} $$ -Weighted Imaging of Water, Fat and Silicone. [PDF]
ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {T}_2 $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and diagnostic contrast. We propose a
Nurdinova A +6 more
europepmc +2 more sources
ABSTRACT Purpose Ultrashort echo time (UTE) techniques are essential for the magnetic resonance imaging of short‐T2 signals. Current UTE techniques are time‐consuming and often require the acquisition of an inflexible volume. In this work, we implement new UTE sequences—differential single‐block presaturated UTE (δSB‐UTE) and differential multi‐block ...
Jason A. Reich +5 more
wiley +1 more source
The imbalanced classification problem is one of the common challenges in machine learning and widely exists in practical applications such as network traffic recognition.
HE Hongshun +4 more
doaj +2 more sources
ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1$$ {T}_1 $$ thermometry during microwave ablation with T1$$ {T}_1 $$ improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere ...
Moritz Gutt +7 more
wiley +1 more source
K-CC-MoCo: A Fast k-Space-Based Respiratory Motion Correction for Highly Accelerated First-Pass Perfusion Cardiovascular MR. [PDF]
ABSTRACT Purpose First‐pass perfusion cardiovascular MR (FPP‐CMR) enables the non‐invasive diagnosis of microcirculation and coronary artery disease. In free‐breathing FPP‐CMR, motion correction is usually performed in the image domain, requiring an initial reconstruction.
Moya-Sáez E +10 more
europepmc +2 more sources
Undersampling techniques for large datasets
DNA-Encoded Libraries allow for an efficient approach to synthesize and screen billions of small molecules against a target of interest. With more real-world binding data, this can improve training of machine learning models. However, one key challenge in DELs is the severe imbalances between the classes, in other words, there are ...
Lexin Chen, Ramon Alain Miranda Quintana
openaire +2 more sources
Position jitter and undersampling in pattern perception
The present paper addresses whether topographical jitter or undersampling might limit pattern perception in foveal, peripheral and strabismic amblyopic vision. In the first experiment, we measured contrast thresholds for detecting and identifying the orientation (up, down, left, right) of E-like patterns comprised of Gabor samples.
Levi, Dennis M +2 more
openaire +2 more sources
DynaTOF: Time‐Resolved Noncontrast Cerebral MR Angiography Using Spatially Modulated RF Saturation
ABSTRACT Purpose To develop a time‐resolved extension of three‐dimensional time‐of‐flight MR angiography, termed Dynamic TOF (DynaTOF), that exploits intrinsic RF saturation behavior to enable noncontrast visualization of cerebrovascular hemodynamics.
Naoyuki Takei +9 more
wiley +1 more source
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima +3 more
wiley +1 more source
Citation: 'undersampling' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08297 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for
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