Results 221 to 230 of about 329,555 (323)

Reducing respiratory artifacts in gadoxetic acid-enhanced magnetic resonance imaging via a patient-adapted breath-holding training strategy. [PDF]

Quant Imaging Med Surg
Fang L, Chen C, He S, Zhou X, Liu M, Zhang Z, Zhao J.   +6 more
europepmc   +1 more source

Scalp‐negative medial temporal interictal epileptic discharges alter large‐scale brain networks: A simultaneous high‐density electroencephalographic and intracranial electroencephalographic study

Epilepsia, EarlyView.
Abstract Objective Interictal epileptiform discharges (IEDs) observed on scalp electroencephalography (EEG) serve as a diagnostic hallmark of epilepsy. However, only a small fraction of IEDs recorded by intracranial EEG (iEEG) are detectable on the scalp; the vast majority remain invisible on scalp recordings.
Nicolas Roehri, Pia De Stefano, Laurent Spinelli, Renaud Marquis, Stanislas Lagarde, Shahan Momjian, Margitta Seeck, Serge Vulliemoz   +7 more
wiley   +1 more source

Deep Learning HASTE for Upper Abdominal MRI: Improved Image Quality, Speed, and Energy Efficiency in a Prospective Study. [PDF]

NMR Biomed
Gotta J, Bachir AA, Gruenewald LD, Strecker R, Nickel D, Martin SS, Booz C, Mahmoudi S, Al-Saleh S, Dahm D, Konrad P, Bernatz S, Reschke P, Höhne E, Hammerstingl RM, Eichler K, Gruber-Rouh T, Haberkorn SM, D'Angelo T, Weber C, Zeuzem S, Wiegering A, Sinkus R, Vogl TJ, Koch V.   +24 more
europepmc   +1 more source

A Deep Neural Network Based on Two‐Stage Training for Estimating Heart Rate Variability From Camera Videos

Health Care Science, EarlyView.
Heart Rate Variability Estimation from Camera Videos ABSTRACT Background Studies have shown that heart rate variability (HRV) is a predictor of the prognosis of cardiovascular diseases. Contact heartbeat monitoring equipment is widely used, especially in hospitals, and benefits from the rapidity and accuracy of the detection of physiological health ...
Lan Lan, Jin Yin, Haohan Zhang, Hua Jiang, Rui Qin, Xia Zhao, Yu Zhang, Yilong Wang, Jiajun Qiu   +8 more
wiley   +1 more source

Audio-visual speech-in-noise tests for evaluating speech reception thresholds: A scoping review. [PDF]

PLoS One
Hussain A, Goman AM, Gogate M, Dashtipour K, Kirton-Wingate J, Hussain Z, Sheikh A, Akeroyd MA, Hussain A.   +8 more
europepmc   +1 more source

Construction of a clickable probe‐based protein chip platform for discovering covalent mIDH1 inhibitors from natural medicinal extracts

iMeta, EarlyView.
In this study, we develop a flexible Ccc‐Chip (protein microarray + bioorthogonal click chemistry) for high‐throughput screening of natural covalent active molecules from medicinal plant extracts, identifying flavokawain C from Piper methysticum Forst as a novel covalent mIDH1 inhibitor.
Zhao Cui, Jiameng Li, Caifeng Li, Mo Sun, Wei Liu, Xuxia Cao, Shiwen Deng, Junxian Cao, Hongjun Yang, Peng Chen   +9 more
wiley   +1 more source

A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms. [PDF]

Sensors (Basel)
Cao T, Cui Y, Tan H, Lu W, Zhang F, Liu K, Chen X, Chen Y, Wang L.   +8 more
europepmc   +1 more source

Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology

InfoScience, EarlyView.
Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang, Hongqiang Wang, Xu Chen, Xin Peng   +3 more
wiley   +1 more source

An Adaptive Hyperfine Spectrum Extraction Algorithm for Optical Sensing Based on SG Filtering and VMD. [PDF]

Sensors (Basel)
Wu Y, Ma K, Yun Z, Zhang Y, Su Q, Kong X, Wu Z, Zhang W.   +7 more
europepmc   +1 more source