Results 171 to 180 of about 16,073 (260)

Development of an Artificial Intelligence–Driven Three‐Dimensional Reconstruction Model of Renal Vasculature for Surgical Planning in Robot‐Assisted Partial Nephrectomy

The International Journal of Medical Robotics and Computer Assisted Surgery, Volume 22, Issue 4, August 2026.
ABSTRACT Background This single‐centre study aimed to implement and internally validate a deep learning pipeline based on a 3D SegResNet architecture for automatic segmentation of renal vascular structures from contrast‐enhanced CT images, enabling accurate three‐dimensional reconstructions to support surgical planning in robot‐assisted partial ...
Davide Brusa, Riccardo Bertolo, Francesco Ditonno, Greta Pettenuzzo, Lorenzo Pierangelo Treccani, Alessandro Veccia, Filippo Caudana, Francesco Fontana, Maria Angela Cerruto, Alessandro Antonelli   +9 more
wiley   +1 more source

Load-Swing Attenuation in a Quadcopter-Payload System Through Trajectory Optimisation. [PDF]

Sensors (Basel)
Feng B, Khatamianfar A.
europepmc   +1 more source

Directional X‐Ray Scattering and Microtomography for Laboratory‐Based Imaging of Fibrous Materials and Biological Tissues

Small Science, Volume 6, Issue 8, August 2026.
A compact laboratory X‐ray system enables directional dark‐field imaging and tomography with sensitivity to scattering along two orthogonal directions. The approach provides volumetric mapping of sub‐resolution microstructure in engineering and biological samples, which reveals structural heterogeneity, fiber organization, and anisotropic scattering ...
Carlos Navarrete‐León, Álvaro José González‐Grajales, Harry Allan, Adam Doherty, Alissa Parmenter, Rocco D’Antuono, David Bate, Alberto Astolfo, Silvia Cipiccia, Charlotte K. Hagen, Alessandro Olivo, Marco Endrizzi   +11 more
wiley   +1 more source

Function inference of million-scale microbiomes using multi-GPU acceleration. [PDF]

Microbiol Spectr
Zhang Y, Wang M, Sun Y, Gao H, Su X.
europepmc   +1 more source

AI‐assisted automated endpoint interpretation for turbidity‐based digital LAMP using bright‐field microscopy

VIEW, Volume 7, Issue 4, August 2026.
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen, Yiliang Bao, Yue Wang, Kaixuan Guo, Meimei Zeng, Yan Deng, Song Li, Yuan Guo   +7 more
wiley   +1 more source

Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine. [PDF]

Phys Med Biol
Chi Y, Schubert K, Badal A, Roncali E.
europepmc   +1 more source

Forecasting Continuum Intensity for Solar Active Region Emergence Prediction Using Transformers

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Early and accurate prediction of solar active region (AR) emergence is crucial for space weather forecasting. Building on established Long Short‐Term Memory (LSTM) based approaches for forecasting the continuum intensity decrease associated with AR emergence, this work expands the modeling with new architectures and targets.
Jonas Tirona, Sarang Patil, Spiridon Kasapis, Eren Dogan, John Stefan, Irina N. Kitiashvili, Alexander G. Kosovichev, Mengjia Xu   +7 more
wiley   +1 more source

Cloud-to-Edge Deployment of Optimized nnU-Net for Ischemic Stroke Lesion Segmentation on Resource-Constrained Embedded Devices. [PDF]

Sensors (Basel)
Alcaraz-Ortiz D, Zapata-Pérez JF, Martinez-Alajarin J.   +2 more
europepmc   +1 more source

Global Subseasonal‐to‐Seasonal Marine Heatwave Forecasts Boosted by Explainable Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Marine heatwaves (MHWs) pose increasing risks to marine ecosystems and climate‐sensitive activities. Subseasonal‐to‐seasonal (S2S) MHW forecasts are essential for early warning, yet dynamical prediction systems show limited reliability. Here, we present MHWCorrNet, an interpretable deep learning‐based post‐processing framework for ECMWF IFS ...
Minghui Guo, Kang Xu, Lei Zhang, Weiqiang Wang   +3 more
wiley   +1 more source

Artificial intelligence in action: building simulation and analysis tools for powder diffraction. [PDF]

Acta Crystallogr A Found Adv
Scardi P, Malagutti MA.
europepmc   +1 more source