A. Rabbani

发表

Dynamic modeling of the formation damage and mud cake deposition using filtration theories coupled with SEM image processing

S. Salehi, Arash Rabbani, A. Rabbani, 2017 .

An automated simple algorithm for realistic pore network extraction from micro-tomography images

Arash Rabbani, Saeed Salehi, Saeid Jamshidi, 2014 .

DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials pdf

Arash Rabbani, Masoud Babaei, Reza Shams, 2020, ArXiv.

Computer vision and unsupervised machine learning for pore-scale structural analysis of fractured porous media

R. Armstrong, Arash Rabbani, K. Regenauer‐Lieb, 2021 .

A Triple Pore Network Model (T-PNM) for Gas Flow Simulation in Fractured, Micro-porous and Meso-porous Media

Arash Rabbani, F. Javadpour, M. Babaei, 2020, Transport in Porous Media.

Hybrid pore-network and lattice-Boltzmann permeability modelling accelerated by machine learning

Arash Rabbani, Masoud Babaei, Arash Rabbani, 2019, Advances in Water Resources.

Automated segmentation and morphological characterization of placental intervillous space based on a single labeled image.

M. Babaei, M. Gharib, A. Rabbani, 2023, Micron.

Resolution enhancement of placenta histological images using deep learning

M. Babaei, A. Rabbani, 2022, Proceedings of the 4th International Conference on Statistics: Theory and Applications.

Image-based modeling of carbon storage in fractured organic-rich shale with deep learning acceleration

Arash Rabbani, M. Babaei, A. Rabbani, 2021 .

Reliability of Algorithms Interpreting Topological and Geometric Properties of Porous Media for Pore Network Modelling

Philip J. Withers, Todor G. Baychev, Andrey P. Jivkov, 2019, Transport in Porous Media.

Estimation of carbonates permeability using pore network parameters extracted from thin section images and comparison with experimental data

Riyaz Kharrat, Arash Rabbani, Shahab Ayatollahi, 2017 .

Estimation of 3-D pore network coordination number of rocks from watershed segmentation of a single 2-D image

Riyaz Kharrat, Arash Rabbani, Shahab Ayatollahi, 2016 .

Pore-Scale Modeling of Fluid–Rock Chemical Interactions in Shale during Hydraulic Fracturing

Arash Rabbani, M. Babaei, H. Fazeli, 2021, Energy & Fuels.

Pore system characteristics of soil aggregates and their relevance to aggregate stability

Arash Rabbani, S. Banwart, A. Blaud, 2020, Geoderma.

COMPARING THREE IMAGE PROCESSING ALGORITHMS TO ESTIMATE THE GRAIN-SIZE DISTRIBUTION OF POROUS ROCKS FROM BINARY 2D IMAGES AND SENSITIVITY ANALYSIS OF THE GRAIN OVERLAPPING DEGREE

Arash Rabbani, Shahab Ayatollahi, Arash Rabbani, 2015 .

Fast direct flow simulation in porous media by coupling with pore network and Laplace models

Ying Da Wang, R. Armstrong, Arash Rabbani, 2021 .

Direct characterization of solute transport in unsaturated porous media using fast X-ray synchrotron microtomography

Nghia T. Vo, Arash Rabbani, H. Steeb, 2020, Proceedings of the National Academy of Sciences.

Data-science-based reconstruction of 3-D membrane pore structure using a single 2-D micrograph

Jay R. Werber, A. Zydney, J. Hattrick-Simpers, 2023, Journal of Membrane Science.

Integrated Image Processing and Computational Techniques to Characterize Formation Damage

S. Salehi, C. Ezeakacha, A. Ghalambor, 2018 .

Rapid Reconstruction of 3-D Membrane Pore Structure Using a Single 2-D Micrograph

Jay R. Werber, A. Zydney, J. Hattrick-Simpers, 2023, 2301.10601.

Specific surface and porosity relationship for sandstones for prediction of permeability

Arash Rabbani, S. Jamshidi, A. Rabbani, 2014 .

Determination of Specific Surface of Rock Grains by 2D Imaging

S. Salehi, Arash Rabbani, S. Jamshidi, 2014 .

Gas Flow Models of Shale: A Review

H. Singh, Arash Rabbani, F. Javadpour, 2021 .

An image-based coal network model for simulating hydro-mechanical gas flow in coal: An application to carbon dioxide geo-sequestration

Junjian Wang, R. Armstrong, Arash Rabbani, 2022, Journal of Cleaner Production.

Multiscale Investigation of Pore Network Heterogeneity and Permeability of Fluid Catalytic Cracking (FCC) Particles

Guang-bo Zhao, Arash Rabbani, Yan Liang, 2022, Chemical Engineering Journal.

Inter-particle fluid flow visualisation of larger packed beds pertaining to heap leaching using X-ray computed tomography imaging

Arash Rabbani, M. Yellishetty, I. Ilankoon, 2020 .

Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications

D. Husmeier, C. Berry, Hao Gao, 2023, Comput. Medical Imaging Graph..

Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking

D. Husmeier, Hao Gao, A. Rabbani, 2022, Proceedings of the 4th International Conference on Statistics: Theory and Applications.

Graph Neural Network Emulation of Cardiac Mechanics

Hao Gao, Dirk Husmeier, Arash Rabbani, 2021, Proceedings of the 3rd International Conference on Statistics: Theory and Applications.

Pore network extraction using geometrical domain decomposition

Arash Rabbani, Peyman Mostaghimi, Ryan T. Armstrong, 2019, Advances in Water Resources.

Predicting 3D Physical Properties From a Single 2D Slice Based on Convolutional Neural Networks: 2D‐Slice‐To‐3D‐Properties for Porous Rocks

M. Babaei, Xiaojun Chen, A. Rabbani, 2023, Water Resources Research.

A hybrid fracture-micropore network model for multiphysics gas flow in coal

Junjian Wang, R. Armstrong, Arash Rabbani, 2020 .

Utilization of microcomputed tomography and pore network modeling to characterize foam dynamics

R. Armstrong, Arash Rabbani, G. Bournival, 2021 .

Automated segmentation and morphological characterization of placental histology images based on a single labeled image

M. Gharib, M. Babaei, A. Rabbani, 2022, ArXiv.

DeepAngle: Fast calculation of contact angles in tomography images using deep learning

R. Armstrong, Arash Rabbani, Chenhao Sun, 2022, Geoenergy Science and Engineering.