Numerical Model for Cerebrovascular Hemodynamics with Indocyanine Green Fluorescence Videoangiography
Hwayeong CHEON; Young-Je SON; Sung-Bae PARK; Pyoung-Seop SHIM; Joo-Hiuk SON; Hee-Jin YANG.
Journal of Korean Neurosurgical Society
; : 382-392, 2023.
Artículo en Inglés | WPRIM | ID: wpr-976885
Documentos relacionados
Numerical Model for Cerebrovascular Hemodynamics with Indocyanine Green Fluorescence Videoangiography.
Multi-start Evolutionary Nonlinear OpTimizeR (MENOTR): A hybrid parameter optimization toolbox.
Vertex results for the robust analysis of uncertain biochemical systems.
PolyODENet: Deriving mass-action rate equations from incomplete transient kinetics data.
Detection of kinetic change points in piece-wise linear single molecule motion.
Fides: Reliable trust-region optimization for parameter estimation of ordinary differential equation models.
On the reliable estimation of sequential Monod kinetic parameters.
Adaptive Filtering Framework to Remove Nonspecific and Low-Efficiency Reactions in Multiplex Digital PCR Based on Sigmoidal Trends.
Analyzing transient respirometric data by analytical algorithm for Monod kinetic parameters.
Enhancing blood flow prediction in multi-exposure laser speckle contrast imaging through ensemble learning with K-mean clustering.