Results 161 to 170 of about 212,507 (282)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Structurally Constrained Stibenium: Metallomimetic C−Si Bond Activation

open access: yesAngewandte Chemie, EarlyView.
A structurally constrained stibenium cation supported by a 2,6‐bis(o‐carborano)pyridine pincer‐type ligand was prepared, and its preliminary reactivity toward silanes was investigated. Remarkably, Si−C bonds in silanes undergo activation via an oxidative‐addition‐type process at the cationic Sb center.
Donia Toami, Roman Dobrovetsky
wiley   +2 more sources

SCP‐Pose: Leveraging Structural Consistency Prior Knowledge for Real‐Time Category‐Level 6D Pose Estimation

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li   +6 more
wiley   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

open access: yesAdvanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim   +4 more
wiley   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

open access: yesAdvanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui   +11 more
wiley   +1 more source

Functional Segregation of Epileptogenicity within the Human Amygdala

open access: yesAnnals of Neurology, EarlyView.
Objective In temporal lobe epilepsy (TLE), the amygdala in the epileptogenic network is underestimated compared to other regions such as the hippocampus. Recent advances in anatomical neuroimaging and stereoelectroencephalography (SEEG) signal analyses could help better understand the involvement of the different amygdala nuclei in the genesis of ...
Odile Feys   +14 more
wiley   +1 more source

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