Results 141 to 150 of about 31,026 (252)

Personalized multimodal physiological modeling of menstrual cycle dynamics using endocrine, metabolic and wearable signals

Journal of Intelligent Medicine, EarlyView.
Abstract Menstrual cycle tracking remains challenged by the limited physiological scope and inconsistent generalizability of existing wearable‐based approaches, which often rely on individual sensing modalities that incompletely capture the complexity of menstrual physiology.
Ejay Nsugbe, Georgianna Lin
wiley   +1 more source

Secrecy Performance of O-RAN-Enabled RIS-Assisted FSO/RF Satellite Downlinks. [PDF]

Entropy (Basel)
Li Y, Chen X, Shi J, Lv G, Jin Y.
europepmc   +1 more source

Effect of Visualized Respiratory Training on Patient Cooperation and Image Quality in Gadoxetic Acid Disodium‐Enhanced Liver MRI: A Randomized Controlled Trial

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Respiratory motion artifacts impair diagnostic accuracy in gadoxetic acid disodium (Gd‐EOB‐DTPA)‐enhanced liver MRI. Conventional verbal pre‐scan breathing training often yields inconsistent patient cooperation and image quality, creating an urgent clinical need for optimized training methods.
Li Mei, Xin Luo, Bingyan Wang, Junfeng Wang, Chao Huang, Xuemei Hu, Qin Li, Wenyan Zhang   +7 more
wiley   +1 more source

SNR-Weighted Layer-Conditioned Magnetometer Array with Ellipsoid Calibration and Neural Network Initialization for Capsule Endoscopy Localization Under Asymmetric Sensor Visibility. [PDF]

Sensors (Basel)
Yaghoobian O, Wahid KA.
europepmc   +1 more source

High‐Throughput Quantitative Chemical Shift‐Encoded MRI of the Liver

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Access to MRI is limited by lengthy exam times and inefficient utilization. Focused protocols can reduce exam times, but workflow variability and inefficient room turnaround contribute to conservative scheduling with long exam slots.
Garrett C. Fullerton, Jiayi Tang, Jitka Starekova, Julius F. Heidenreich, Ali Pirasteh, David T. Harris, Daiki Tamada, Collin J. Buelo, Dan W. Rettmann, Diego Hernando, Scott B. Reeder   +10 more
wiley   +1 more source

High-Accuracy Off-Grid Sparse Bayesian Learning with Reliability-Guided Inference for Direction-of-Arrival Estimation. [PDF]

Sensors (Basel)
He W, Wang H, Zhao H, Shi Y.
europepmc   +1 more source

Association Between Deep Gray Matter Iron Deposition Dysregulation and Cognitive Performance in Type 2 Diabetes Mellitus Patients: A Quantitative Susceptibility Mapping Study

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Type 2 diabetes (T2DM) heightens cognitive impairment risk, yet the mechanisms remain unclear. Hyperglycemia‐induced iron dysregulation in deep gray matter (DGM) nuclei may be a crucial mechanism. Purpose To investigate DGM iron deposition in T2DM using Quantitative Susceptibility Mapping (QSM) and determine its association with ...
Kun Wang, Jiahe Wang, Ziyu Diao, Xin Tan, Shijun Qiu, Jie An   +5 more
wiley   +1 more source

Airborne Warning System Direction-Finding Based on Real-Time SNR Correction. [PDF]

Sensors (Basel)
Ding J, Shao H, Song H, Zhang J, Ding F, Zhang W, Liu J, Lv J.   +7 more
europepmc   +1 more source

Autonomous Velocity Encoding (VENC) Selection Improves Precision of Quantitative Flow Measurement

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The optimal velocity encoding limit (VENC) in phase contrast MRI is subject‐specific because it depends on peak flow rate and the presence of flow jets. Currently, VENC is set manually with limited prior knowledge of the peak velocity. Setting the correct VENC might improve measurement precision or shorten scan times.
Pierre Daudé, Rajiv Ramasawmy, Christine Mancini, Dominique Franson, Sunggun Lee, Anastasia Tsakirellis, W. Patricia Bandettini, Ahsan Javed, Kelvin Chow, Adrienne E. Campbell‐Washburn   +9 more
wiley   +1 more source

Vision-Radar Semantic Communication for Target-Oriented Visual Sensing: Image Reconstruction and Dynamic State Estimation. [PDF]

Sensors (Basel)
Xu H, Wang Y, Zhao R, Liu Q.
europepmc   +1 more source