Results 191 to 200 of about 55,999 (288)

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy

BJU International, EarlyView.
Objective To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgical margin assessment during radical prostatectomy (RP). Patients and Methods Fluorescence confocal microscopy images from the multicentre Imperial Prostate 8‐Fluorescence Confocal Microscopy for Rapid ...
Lixiang Fang, Nikhil Mayor, Alexander Light, Anna Silvanto, Aiman Haider, Chase Ng, Archana Gopalakrishnan, Ranil Johann Boaz, Mariana Bertoncelli Tanaka, Bijan Khoubehi, Giles Hellawell, Ricardo Almeida‐Magana, Larissa Mendes, Eoin Dinneen, Greg Shaw, Ben Challacombe, Paul Cathcart, Martin J. Connor, Taimur T. Shah, Hashim U. Ahmed, Francesca Fiorentino, Stamatia Giannarou, Mathias Winkler   +22 more
wiley   +1 more source

A practical guide to the implementation of AI in orthopaedic research part 8: Resource management checklist for AI-driven research projects in orthopaedics. [PDF]

J Exp Orthop
Longo UG, Bandini B, Saccomanno M, D'Hooghe P, Zsidai B, Oeding JF, Oettl FC, Samuelsson K, De Sire A, Feldt R, Yu Y, ESSKA Artificial Intelligence Working Group.   +11 more
europepmc   +1 more source

Image‐Based Spatio‐Temporal Interpolation for Split Rendering

Computer Graphics Forum, EarlyView.
Abstract Low‐powered devices – such as small form factor head‐mounted displays (HMDs) – struggle to deliver a smooth and high‐quality viewing experience, due to their limited power and rendering capabilities. Cloud rendering attempts to solve the quality issue, but leads to prohibitive latency and bandwidth requirements, hindering use with HMDs over ...
M. Steiner, T. Köhler, L. Radl, B. Budge, M. Steinberger   +4 more
wiley   +1 more source

Coordinated Meta-Storms enables comparison of million-level microbiomes. [PDF]

Bioinformatics
Wang M, Gao H, Zhang Y, Huang Y, Su X.
europepmc   +1 more source

UBVH: Unified Bounding Volume and Scene Geometry Representation for Ray Tracing

Computer Graphics Forum, EarlyView.
Abstract Bounding volume hierarchies (BVHs) are currently the most common data structure used to accelerate ray tracing. The existing BVH methods distinguish between the bounding volume representation associated with the interior BVH nodes and the scene geometry representation associated with leaf nodes.
M. Káčerik, J. Bittner
wiley   +1 more source

Information extraction from clinical notes: are we ready to switch to large language models? [PDF]

J Am Med Inform Assoc
Hu Y, Zuo X, Zhou Y, Peng X, Huang J, Keloth VK, Zhang VJ, Weng RL, Shyr C, Chen Q, Jiang X, Roberts KE, Xu H.   +12 more
europepmc   +1 more source

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source

Robust R-peak detection in noisy ECG using deep residual U-Net for enhanced cardiac rhythm analysis. [PDF]

Medicine (Baltimore)
Chaoya W, Chun P, Chao M.
europepmc   +1 more source

VividHairEdit: Disentangled Latent Control for High‐Fidelity Hairstyle Transfer via StyleGAN2 Inversion

Computer Graphics Forum, EarlyView.
VividHairEdit is an advanced StyleGAN2 inversion system for high‐fidelity hair transfer and editing. Our system features improved structural integration, vibrant appearance representation, and optimized latent code selection, achieving superior generation quality and usability. A user‐friendly sketch interface enables precise modifications that reflect
Eunyeong Choi, Sihun Jin, Dongjoon Kim
wiley   +1 more source

High performance GPU implementation of KNN algorithm: A review. [PDF]

MethodsX
Bidye P, Borkar P, Rakesh N.
europepmc   +1 more source