Results 161 to 170 of about 32,167 (215)

Evaluation of the use of segmentation-based and deconvolution-based three-dimensional joint space width analysis of the hand and wrist. [PDF]

JBMR Plus
Quintiens J, Waungana TH, Kuczynski MT, Manske SL, van Lenthe GH.   +4 more
europepmc   +1 more source

NIRGB‐GS: Near‐Infrared Assisted Low‐Light Scene Reconstruction and Enhancement via Gaussian Splatting

Advanced Intelligent Systems, EarlyView.
This article proposes NIRGB‐GS, a multimodal 3DGS variant that enables reliable 3D reconstruction and normal‐light novel‐view synthesis for extremely low‐light scenes by fusing paired near‐infrared and noisy RGB captures. High‐SNR near‐infrared modality and modality‐specific appearance encoding together resolve the issues of unstable pose/geometry ...
Chengyun Yang, Yi Zhang, Yu Lei, Qiaofeng Li   +3 more
wiley   +1 more source

PLIN3-triggered lipophagic flux releases FFAs to facilitate CSFV propagation. [PDF]

Virulence
Li B, Zou L, Sun C, Jiang J, Li S, Wang J, He Y, Qin Y, Zeng S, Song Y, Zeng W, Yi L, Fan S, Chen J, Wu K.   +14 more
europepmc   +1 more source

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

Advanced 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, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Metastatic Fibrolamellar Hepatocellular Carcinoma in a Young Adult: A Case Report and Narrative Review. [PDF]

J Hepatocell Carcinoma
El Darzi R, Ashy C, Khrayzat A, Chahine S, Tawil A, Temraz S.   +5 more
europepmc   +1 more source

Explainable AI‐Driven Optimization of Electrode Activation Reduces Power Consumption While Preserving Object Recognition in Retinal Prostheses

Advanced Intelligent Systems, EarlyView.
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley   +1 more source

CycleGAN-based image-to-image translation for synthetic contrast enhancement in non-contrast cardiac CT: a ViT-CNN hybrid deep learning approach. [PDF]

BMC Med Inform Decis Mak
Park D, Kim J, Ruan X, Chow W, Baskaran L.   +4 more
europepmc   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Simulation of Dense Star Map in Deep Space Based on Gaia Catalogue. [PDF]

Sensors (Basel)
Li P, Bao G, Zhou Z, Gong J.
europepmc   +1 more source

A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films

Advanced Intelligent Systems, EarlyView.
A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms, Luca Torresi, Shahbaz Tareq Bandesha, Jan Hansmann, Holger Röhm, Alexander Colsmann, Marco Schott, Pascal Friederich   +7 more
wiley   +1 more source