Arash Rabbani

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.

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

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

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

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

Pore network extraction using geometrical domain decomposition

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

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

Arash Rabbani, Saeed Salehi, Saeid Jamshidi, 2014 .

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.

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 .

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 .

Evolution of Pore-Scale Morphology of Oil Shale During Pyrolysis: A Quantitative Analysis

Todor G. Baychev, Andrey P. Jivkov, Arash Rabbani, 2017, Transport in Porous Media.

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 .