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20242026
most citedPhenotyping calcification in vascular tissues using artificial intelligence

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.TO2026

Quantifying Local Strain Field and Deformation in Active Contraction of Bladder Using a Pretrained Transformer Model: A Speckle-Free Approach

Alireza Asadbeygi, Anne M. Robertson, Yasutaka Tobe +5

Accurate quantification of local strain fields during bladder contraction is essential for understanding the biomechanics of bladder micturition, in both health and disease. Conven…

physics.med-ph2025

Elucidating the high compliance mechanism by which the urinary bladder fills under low pressures

Fatemeh Azari, Anne M. Robertson, Yasutaka Tobe +6

The high compliance of the urinary bladder during filling is essential for its proper function, enabling it to accommodate significant volumetric increases with minimal rise in tra…

physics.med-ph2024★ 1 cited

Geometric Characterization of Rat Urinary Bladder Wall During Ex-Vivo Filling Using Micro-Computed Tomography (Micro-CT)

Fatemeh Azari, Anne M. Robertson, Lori A. Birder

This study employs micro-computed tomography (micro-CT) to unravel the geometrical intricacies of the rat urinary bladder wall during various states of ex-vivo filling, contrasting…

q-bio.TO2024

Quantifying Smooth Muscles Regional Organization in the Rat Bladder Using Immunohistochemistry, Multiphoton Microscopy and Machine Learning

Alireza Asadbeygi, Yasutaka Tobe, Naoki Yoshimura +4

The smooth muscle bundles (SMBs) in the bladder act as contractile elements which enable the bladder to void effectively. In contrast to skeletal muscles, these bundles are not hig…

cs.CV2024★ 1 cited

Phenotyping calcification in vascular tissues using artificial intelligence

Mehdi Ramezanpour, Anne M. Robertson, Yasutaka Tobe +2

Vascular calcification is implicated as an important factor in major adverse cardiovascular events (MACE), including heart attack and stroke. A controversy remains over how to inte…