12 citations · 20 across the 9 of their papers we have counts for
10 papers
UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture
Asees Kaur, Suzanne S. Sindi, Erica M. Rutter
Accurate segmentation of vascular structures in digital subtraction angiography (DSA) images remains challenging due to the thin, elongated, and branching nature of blood vessels.…
Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models
Stephen Williams, Daravuth Cheam, Michele K. Nishiguchi +3
Bacteria often develop distinct phenotypes to adapt to environmental stress. In particular, they can produce biofilms, dense communities of bacteria that live in a complex extracel…
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)
Maria-Veronica Ciocanel, John T. Nardini, Kevin B. Flores +3
Agent-based modeling (ABM) is a powerful tool for understanding self-organizing biological systems, but it is computationally intensive and often not analytically tractable. Equati…
Evaluating COVID-19 Surveillance Testing Strategies at Colorado School of Mines: A Stochastic Modeling Approach
Laura Albrecht, Karin Leiderman, Suzanne Sindi +1
This study introduces a stochastic model of COVID-19 transmission tailored to the Colorado School of Mines campus and evaluates surveillance testing strategies within a university…
N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
A. Ali Heydari, Oscar A. Davalos, Katrina K. Hoyer +1
Single-cell RNA sequencing (scRNAseq) is rapidly advancing our understanding of cellular composition within complex tissues and organisms. A major limitation in most scRNAseq analy…
A Statistical Model of Word Rank Evolution
Alex John Quijano, Rick Dale, Suzanne Sindi
The availability of large linguistic data sets enables data-driven approaches to study linguistic change. The Google Books corpus unigram frequency data set is used to investigate…
A field guide to cultivating computational biology
Anne E Carpenter, Casey S Greene, Piero Carnici +11
Biomedical research centers can empower basic discovery and novel therapeutic strategies by leveraging their large-scale datasets from experiments and patients. This data, together…
Slack Reactants: A State-Space Truncation Framework to Estimate Quantitative Behavior of the Chemical Master Equation
Jinsu Kim, Jason Dark, German Enciso +1
State space truncation methods are widely used to approximate solutions of the chemical master equation. While most methods of this kind focus on truncating the state space directl…
Ensemble-based Topological Entropy Calculation (E-tec)
Eric Roberts, Suzanne Sindi, Spencer Smith +1
Topological entropy measures the number of distinguishable orbits in a dynamical system, thereby quantifying the complexity of chaotic dynamics. One approach to computing topologic…
Topological Chaos in a Three-Dimensional Spherical Fluid Vortex
Spencer A. Smith, Joshua Arenson, Eric Roberts +2
In chaotic deterministic systems, seemingly stochastic behavior is generated by relatively simple, though hidden, organizing rules and structures. Prominent among the tools used to…