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

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

3 May 2020

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Papers citing "DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials"

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Title
DeepAngle: Fast calculation of contact angles in tomography images using deep learning A. Rabbani Chenhao Sun M. Babaei V. Niasar R. Armstrong P. Mostaghimi 29 4 0 28 Nov 2022
Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking A. Rabbani Hao Gao D. Husmeier 31 3 0 30 Jul 2022
AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography Zangir Iklassov Dmitrii Medvedev O. Nazarov Shakhboz Razzokov OOD AI4CE 19 1 0 26 May 2022
Point-Cloud Deep Learning of Porous Media for Permeability Prediction Ali Kashefi T. Mukerji 3DPC AI4CE 73 35 0 18 Jul 2021