Results 251 to 260 of about 1,403,569 (408)

Gender-affirming DIEP Flap Breast Augmentation. [PDF]

open access: yesPlast Reconstr Surg Glob Open
Nolan IT   +5 more
europepmc   +1 more source

New spontaneous breast seroma 5 years after augmentation: a case report [PDF]

open access: hybrid, 2009
Danai Chourmouzi   +2 more
openalex   +1 more source

Multifunctional Ultra‐Bright Plasmonic Gold@Fluorescence Nanoprobe for Biomedical Applications

open access: yesAggregate, EarlyView.
Plasmonic gold nanoparticles (AuNPs) with intrinsic superiorities in metal‐enhanced fluorescence (MEF) have been widely utilized in amplifying signal enhancement, fluorescent labeling, and theranostics. This review systematically discusses plasmonic AuNPs‐driven MEFs, from their enhancement mechanisms, influencing factors, and enhanced types, to their ...
Caiping Ding   +4 more
wiley   +1 more source

The Surgeon's Digital Eye: Assessing Artificial Intelligence-generated Images in Breast Augmentation and Reduction. [PDF]

open access: yesPlast Reconstr Surg Glob Open
Yassa A   +5 more
europepmc   +1 more source

Two‐Stage GAN‐Based Generation of Virtual 3D Multicrystalline Silicon Reproducing Nucleation and Crystal Growth Processes Using Crystallographic Information from Real Ingots

open access: yesAdvanced Intelligent Discovery, EarlyView.
We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru   +7 more
wiley   +1 more source

Chyle Leak After Breast Augmentation [PDF]

open access: bronze, 2009
Diana Tam, Terrence Scamp, John Tan
openalex   +1 more source

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li   +7 more
wiley   +1 more source

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