Robust quantification in noncontact Raman sensing requires dedicated correction of working distance dependent background effects, while laser power variations are readily stabilized using internal reference signals. Chemically relevant Raman intensity can be preserved for bulk composition measurements, under variable laser power and working distance ...
Tiril Aurora Lintvedt +3 more
wiley +1 more source
ASLNet: an explainable deep learning framework for glioma grading and survival prediction. [PDF]
Christodoulou RC +8 more
europepmc +1 more source
Commentary on Ferumoxytol and Beyond: Navigating the Shift Away From GBCAs in Neuro‐Oncology
Journal of Magnetic Resonance Imaging, EarlyView.
Vera C. Keil, Yelda Özsunar
wiley +1 more source
Synergistic effects of maize defoliation and common bean relay cropping in Western Ethiopia
Abstract Background Maize defoliation is practiced to enhance crop management by improving light penetration, nutrient allocation, controlling weeds, and providing supplementary feeds for livestock. A rapid decline in soil fertility and low crop yields associated with maize‐based monocropping has prompted the recent introduction of maize common bean ...
Alemayehu Dabesa +2 more
wiley +1 more source
ASL File Reader (MATLAB) [PDF]
This zip file contains the necessary files for reading binary ASL data and reading and parsing ASL header file metadata in ...
Ratliff, Bradley M.
core
Contrast-free functional MRI for assessing renal involvement in patients with ANCA-associated vasculitis. [PDF]
Scheuer M +11 more
europepmc +1 more source
ABSTRACT Purpose To develop a slice‐wise blurring‐free and densely sampled TE‐resolved multiple‐TE (mTE) ASL sequence (TASL) for measuring blood–brain barrier (BBB) water exchange time. Methods A 3D TSE spiral‐readout pCASL sequence was modified to enable TE‐resolved acquisition.
Bo Li +11 more
wiley +1 more source
Seizure-Induced Transient Early Venous Visualization on Angiography in Glioblastoma: A Case Report. [PDF]
Aburakawa D +4 more
europepmc +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
Streamlined calculation of kidney function using dynamic contrast-enhanced MRI with population-based arterial input function and a whole-kidney model. [PDF]
Mu X +10 more
europepmc +1 more source

