Results 181 to 190 of about 14,221 (268)

Deep learning cone‐beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects

open access: yesJournal of Periodontology, EarlyView.
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics   +8 more
wiley   +1 more source

Learning Latent Representations to Bridge Coarse-Grained and Atomistic Resolutions in Polymer Simulations. [PDF]

open access: yesJ Chem Theory Comput
Desai S   +5 more
europepmc   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

open access: yesMedicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

GAN-based bone suppression using a combined loss function. [PDF]

open access: yesFront Artif Intell
Jochymek L   +3 more
europepmc   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

open access: yesMaterials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo   +11 more
wiley   +1 more source

Representation learning of single-cell RNA-seq data. [PDF]

open access: yesRNA
Ahlmann-Eltze C   +4 more
europepmc   +1 more source

Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu   +9 more
wiley   +1 more source

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