Results 151 to 160 of about 12,972 (261)

Review of Stereo Matching Algorithms Based on Deep Learning. [PDF]

open access: yesComput Intell Neurosci, 2020
Zhou K, Meng X, Cheng B.
europepmc   +1 more source

Multimodal modeling of the ictal onset zone in refractory insular epilepsy and seizure outcome of magnetic resonance‐guided laser interstitial therapy: A pediatric single‐center retrospective study

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to evaluate seizure outcomes after magnetic resonance‐guided laser interstitial thermal therapy (MRgLITT) in children with insular epilepsy and to assess how the extent of ablation overlaps with multimodal definitions of the ictal onset zone (IOZ).
Lelio Guida   +15 more
wiley   +1 more source

Research progress in photo‐controlled radical involved luminescence materials

open access: yesFlexMat, EarlyView.
This review systematically dissects radical generation mechanisms, triplet‐exciton photophysics, material design strategies, and cutting‐edge applications in smart encryption, environmental sensing, and 3D printing. Abstract In recent years, photo‐controlled radical room‐temperature phosphorescent (RTP) materials have shown significant application ...
Sichen Meng   +8 more
wiley   +1 more source

Simultaneous Stereo Matching and Confidence Estimation Network. [PDF]

open access: yesJ Imaging
Schmähling T   +3 more
europepmc   +1 more source

Bio‐inspired vision: From principle, material architectures to system‐level integration

open access: yesFlexMat, EarlyView.
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin   +4 more
wiley   +1 more source

Impact of Single‐Cell RNA Reference Selection for the Deconvolution of Breast Cancer Spatial Transcriptomics Datasets

open access: yesInternational Journal of Cancer, EarlyView.
ABSTRACT Spot‐based spatial transcriptomics (ST) allows for unbiased gene expression analysis within tissue architecture, overcoming the limitations of single‐cell RNA sequencing (scRNA‐seq) by preserving spatial context. However, the high spatial resolution in ST leads to cellular heterogeneity within spots, requiring computational deconvolution to ...
Stefan Altendorfer   +2 more
wiley   +1 more source

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