Results 161 to 170 of about 33,048 (289)

Arterial spin labeling performs comparably to 2‐[18F]fluoro‐2‐deoxy‐D‐glucose positron emission tomography for presurgical evaluation in pediatric lesional epilepsy

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to test whether arterial spin labeling (ASL) performs comparably to 2‐[18F]fluoro‐2‐deoxy‐D‐glucose positron emission tomography (FDG‐PET), the mainstay functional imaging technique, in pediatric lesional epilepsy, while avoiding radiotracer exposure and additional sedation.
Antonio Giulio Gennari, Dorottya Cserpan, Raimund Kottke, Niklaus Krayenbühl, Michael Messerli, Martin W. Hüllner, Ruth O'Gorman Tuura, Georgia Ramantani   +7 more
wiley   +1 more source

Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images. [PDF]

Sci Rep
Toyama N, Hidaka T, Tamura H, Ikeda Y.
europepmc   +1 more source

Picture naming: Stereoelectroencephalography and connectivity insights

Epilepsia, EarlyView.
Abstract Objective This study investigates the neural substrates of picture naming (PN) using stereoelectroencephalographic (SEEG) stimulations and evaluates the contribution of white matter (WM) fascicles related to the basal temporal language area (BTLA) to the broader functional PN network.
Insafe Mezjan, Fabien Rech, Olivier Aron, Louis Maillard, Sophie Colnat‐Coulbois   +4 more
wiley   +1 more source

A comprehensive benchmarking study on computational tools for cross-omics label transfer from single-cell RNA to ATAC data. [PDF]

G3 (Bethesda)
Wang Y, Zhao H.
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations. [PDF]

Nanophotonics
Sun Y, Wang F, Han J, Qu G, Zhang Z, Wei Y, Yang C, Ruan Q, Wang S, Wei H, Huang C, Guan J, Hu J.   +12 more
europepmc   +1 more source

Programmable crack dynamics engineering enables flexible strain sensors with high linearity

FlexMat, EarlyView.
First‐decoupling theoretical framework of crack evolution elucidating the control methods, mechanistic insights, and structure‐activity relationships is established. Crack propagation from uncontrollable randomness systematically evolves into spatially ordered states.
Chunjin Wu, Shaolong Wang, Xu Wang, Heng Zhu, Yongliang Tian, Xinchen Jiang, Xin Rao, Yutong Han, Changrun Wang, Wen‐Yong Lai   +9 more
wiley   +1 more source

Glue Strips Measurement and Breakage Detection Based on YOLOv11 and Pixel Geometric Analysis. [PDF]

Sensors (Basel)
Lu Y, Li X, Kang J, Xiong S, Zhu S.
europepmc   +1 more source

Eliminating disorderly A sites: Significantly enhanced external quantum efficiency of Bi3+ luminescence in double perovskite phosphor

InfoMat, EarlyView.
The structural transformation from disorder to order was achieved by regulating the A‐site of double perovskite, boosting IQE and EQE to 78% and 43%, respectively. The excellent luminescence properties of the representative CYNO:1%Bi3+ phosphor highlight the multifunctional application potential in solid‐state lighting, fingerprint recognition, and ...
Rui Wang, Asif Ali Haider, Hongzhi Zhang, Haonan Cui, Yiting Huang, Yuyao Fu, Zizhuo Yao, Shuangbao Wang, Jiyang Xie, Hong Li, Zhi Xie, Jing Zhu   +11 more
wiley   +1 more source

Skull-stripping induces shortcut learning in MRI-based Alzheimer's disease classification. [PDF]

Insights Imaging
Tinauer C, Sackl M, Stollberger R, Schmidt R, Ropele S, Langkammer C.   +5 more
europepmc   +1 more source