Results 111 to 120 of about 55,131 (288)

GPU-acceleration of the distributed-memory database peptide search of mass spectrometry data. [PDF]

Sci Rep, 2023
Haseeb M, Saeed F.
europepmc   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Optimising the Configuration of the CMS GPU Reconstruction [PDF]

EPJ Web of Conferences
Particle track reconstruction for high energy physics experiments like CMS is computationally demanding but can benefit from GPU acceleration if properly tuned.
Ebrahim Abdulla, Bocci Andrea, Elmedany Wael, Al-Ammal Hesham   +3 more
doaj   +1 more source

KomaMRI.jl: An open-source framework for general MRI simulations with GPU acceleration. [PDF]

Magn Reson Med, 2023
Castillo-Passi C, Coronado R, Varela-Mattatall G, Alberola-López C, Botnar R, Irarrazaval P.   +5 more
europepmc   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

GPU-based parallel programming for FEM analysis in the optimization of steel frames

Journal of Asian Architecture and Building Engineering
Optimization of large-scale frame structures consumes a vast amount of time since the analysis of such complex systems contains several iterative processes.
Tevfik Oğuz Örmecioğlu, İbrahim Aydoğdu, Hilal Tuğba Örmecioğlu   +2 more
doaj   +1 more source

Dynamic inverse SNR-decorrelation OCT angiography with GPU acceleration. [PDF]

Biomed Opt Express, 2022
Deng X, Liu K, Zhu T, Guo D, Yin X, Yao L, Ding Z, Ye J, Li P.   +8 more
europepmc   +1 more source

Accelerating QDP++ using GPUs [PDF]

Proceedings of XXIX International Symposium on Lattice Field Theory — PoS(Lattice 2011), 2012
6 pages, 3 ...
openaire   +2 more sources

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source