most citedPoroelasticity as a Model of Soft Tissue Structure: Hydraulic Permeability Inference for Magnetic Resonance Elastography in Silico

29 citations · 33 across the 3 of their papers we have counts for

collaborators

5 papers

physics.comp-ph202029 cited

Poroelasticity as a Model of Soft Tissue Structure: Hydraulic Permeability Inference for Magnetic Resonance Elastography in Silico

Damian R Sowinski, Matthew DJ McGarry, Elijah Van Houten +3

Magnetic Resonance Elastography allows noninvasive visualization of tissue mechanical properties by measuring the displacements resulting from applied stresses, and fitting a mecha…

q-bio.NC20203 cited

Towards a perceptual distance metric for auditory stimuli

Sarah Oh, Elijah FW Bowen, Antonio Rodriguez +5

Although perceptual (dis)similarity between sensory stimuli seems akin to distance, measuring the Euclidean distance between vector representations of auditory stimuli is a poor es…

cs.CV20201 cited

Visual stream connectivity predicts assessments of image quality

Elijah Bowen, Antonio Rodriguez, Damian Sowinski +1

Some biological mechanisms of early vision are comparatively well understood, but they have yet to be evaluated for their ability to accurately predict and explain human judgments…

hep-th2018

Shape Is Destiny II: Configurational Information Approach to Instantons and False Vacuum Decay in D-dimensional Spacetime

Marcelo Gleiser, Damian R. Sowinski

We extend the use of Configurational Information Measures (CIMSs) to instantons and vacuum decay in arbitrary spatial dimensions. We find that both the complexity and the informati…

hep-th2018

Shape is Destiny: Configurational Entropy as a Lifetime Predictor and Pattern Discriminator for Oscillons

Marcelo Gleiser, Michelle Stephens, Damian Sowinski

Oscillons are long-lived, spherically-symmetric, attractor scalar field configurations that emerge as certain field configurations evolve in time. It has been known for many years…