Maxime Bassenne
Maxime Bassenne
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Constant-energetics physical-space forcing methods for improved convergence to homogeneous-isotropic turbulence with application to particle-laden flows
M Bassenne, J Urzay, G I. Park, P Moin
Physics of Fluids 28 (3), 035114, 2016
392016
A simple dynamic subgrid-scale model for large-eddy simulations of particle-laden turbulence
GI Park, M Bassenne, J Urzay, P Moin
Physical Review Fluids 2 (4), 044301, 2017
332017
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
H Seo, C Huang, M Bassenne, R Xiao, L Xing
IEEE Transactions on Medical Imaging 39 (5), 1316-1325, 2020
262020
Characteristic regimes of subgrid-scale coupling in LES of particle-laden turbulent flows
J Urzay, M Bassenne, GI Park, P Moin
Center for Turbulence Research Annual Research Briefs, 3-13, 2014
182014
Spatially localized multi-scale energy transfer in turbulent premixed combustion
J Kim, M Bassenne, CAZ Towery, PE Hamlington, AY Poludnenko, ...
Journal of Fluid Mechanics 848, 78-116, 2018
142018
A dynamic subgrid-scale model based on differential filters for LES of particle-laden turbulent flows
GI Park, J Urzay, M Bassenne, P Moin
Center for Turbulence Research Annual Research Briefs, 17-26, 2015
132015
A dynamic spectrally-enriched subgrid-scale model for preferential concentration in particle-laden turbulence
M Bassenne, M Esmaily, D Livescu, P Moin, J Urzay
International Journal of Multiphase Flow 116, 270-280, 2019
82019
Extraction of coherent clusters and grid adaptation in particle-laden turbulence using wavelet filters
M Bassenne, J Urzay, K Schneider, P Moin
Physical Review Fluids 2 (5), 054301, 2017
82017
Turbophoresis of small inertial particles: theoretical considerations and application to wall-modelled large-eddy simulations
PL Johnson, M Bassenne, P Moin
Journal of Fluid Mechanics 883, 2020
62020
Wavelet multiresolution analysis of particle-laden turbulence
M Bassenne, P Moin, J Urzay
Physical Review Fluids 3 (8), 084304, 2018
42018
Dynamic spectrally-enriched LES subgrid-scale modeling for preferential concentration of inertial particles in turbulence
M Bassenne, M Esmaily, D Livescu, P Moin, J Urzay
Center for Turbulence Research Annual Research Briefs, 3-19, 2017
42017
Multi-scale geometrical Lagrangian statistics: Extensions and applications to particle-laden turbulent flows
B Kadoch, M Bassenne, M Esmaily-Moghadam, K Schneider, M Farge, ...
Center for Turbulence Research Proceedings of the Summer Program, 53-62, 2016
42016
Spatially-localized wavelet-based spectral analysis of preferential concentration in particle-laden turbulence
M Bassenne, J Urzay, P Moin
Center for Turbulence Research Annual Research Briefs, 3-16, 2015
42015
Computational model discovery with reinforcement learning
M Bassenne, A Lozano-Durán
arXiv preprint arXiv:2001.00008, 2019
32019
Extraction of coherent clusters in particle-laden turbulent flows using wavelet filters
M Bassenne, J Urzay, P Moin
Center for Turbulence Research Annual Research Briefs, 107-121, 2016
32016
On wall modeling for LES of particle-laden turbulent channel flows
M Bassenne, PL Johnson, J Urzay, P Moin
Center for Turbulence Research Proceedings of the Summer Program, 93-109, 2018
22018
Time-Accurate and highly-Stable Explicit operators for stiff differential equations
M Bassenne, L Fu, A Mani
Journal of Computational Physics 424, 109847, 2021
12021
A dynamic approximate deconvolution model for unfiltered scalars in LES
M Bassenne, J Urzay
Center for Turbulence Research Annual Research Briefs, 105-106, 2016
12016
Deep Learning Prediction of Cancer Prevalence from Satellite Imagery
JE Bibault, M Bassenne, H Ren, L Xing
Cancers 12 (12), 3844, 2020
2020
Closing the Gap between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions
H Seo, M Bassenne, L Xing
IEEE transactions on medical imaging, 2020
2020
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Articles 1–20