Deep learning in pore scale imaging and modeling
Pore-scale imaging and modeling has advanced greatly through the integration of Deep
Learning into the workflow, from image processing to simulating physical processes. In …
Learning into the workflow, from image processing to simulating physical processes. In …
Blood vessel segmentation algorithms—review of methods, datasets and evaluation metrics
Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
Tortuosity of porous media: Image analysis and physical simulation
Tortuosity is widely used as a critical parameter to predict transport properties of porous
media, such as rocks and soils. But unlike other standard microstructural properties, the …
media, such as rocks and soils. But unlike other standard microstructural properties, the …
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
Abstract We present the PoreFlow-Net, a 3D convolutional neural network architecture that
provides fast and accurate fluid flow predictions for 3D digital rock images. We trained our …
provides fast and accurate fluid flow predictions for 3D digital rock images. We trained our …
Trade and the Topography of the Spatial Economy
We develop a general equilibrium framework to determine the spatial distribution of
economic activity on any surface with (nearly) any geography. Combining the gravity …
economic activity on any surface with (nearly) any geography. Combining the gravity …
[HTML][HTML] In vivo quantitative photoacoustic evaluation of the liver and kidney pathology in tyrosinemia
Hereditary tyrosinemia type Ⅰ (HT1) is a severe autosomal recessive inherited metabolic
disease, which can result in severe damage of liver and kidney. Photoacoustic imaging (PAI) …
disease, which can result in severe damage of liver and kidney. Photoacoustic imaging (PAI) …
ML-LBM: predicting and accelerating steady state flow simulation in porous media with convolutional neural networks
Fluid mechanics simulation of steady state flow in complex geometries has many
applications, from the micro-scale (cell membranes, filters, rocks) to macro-scale …
applications, from the micro-scale (cell membranes, filters, rocks) to macro-scale …
The effects of roads on trade and migration: Evidence from a planned capital city
M Morten, J Oliveira - American Economic Journal: Applied …, 2024 - pubs.aeaweb.org
A large body of literature studies how infrastructure facilitates trade. We ask whether
infrastructure also facilitates migration. Using a general equilibrium trade model and rich …
infrastructure also facilitates migration. Using a general equilibrium trade model and rich …
Holistic and component plant phenoty** using temporal image sequence
Background Image-based plant phenoty** facilitates the extraction of traits noninvasively
by analyzing large number of plants in a relatively short period of time. It has the potential to …
by analyzing large number of plants in a relatively short period of time. It has the potential to …
The geometry of the subducted slab beneath Sumatra revealed by regional and teleseismic traveltime tomography
The geometry of the subducted Indo‐Australian plate beneath Sumatra is still controversial
because of the historical lack of a dense seismic network. Since 2005, Indonesia has been …
because of the historical lack of a dense seismic network. Since 2005, Indonesia has been …