activity
20142023
most citedAn inverse problem formulation for parameter estimation of a reaction diffusion model of low grade gliomas

82 citations · 503 across the 19 of their papers we have counts for

collaborators

19 papers

q-bio.PE2023★ 1 cited

Rare Events Analysis and Computation for Stochastic Evolution of Bacterial Populations

Yingxue Su, Brett Geiger, Ilya Timofeyev +2

In this paper, we develop a computational approach for computing most likely trajectories describing rare events that correspond to the emergence of non-dominant genotypes. This wo…

math.OC2023

An Operator-Splitting Approach for Variational Optimal Control Formulations for Diffeomorphic Shape Matching

Andreas Mang, Jiwen He, Robert Azencott

We present formulations and numerical algorithms for solving diffeomorphic shape matching problems. We formulate shape matching as a variational problem governed by a dynamical sys…

cs.CV2022

Automatic classification of deformable shapes

Hossein Dabirian, Radmir Sultamuratov, James Herring +4

Let be a dataset of smooth 3D-surfaces, partitioned into disjoint classes , . We show how optimized diffeomorphic registration applied…

cs.CV2022

CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications

Naveen Himthani, Malte Brunn, Jae-Youn Kim +3

We study the performance of CLAIRE -- a diffeomorphic multi-node, multi-GPU image-registration algorithm, and software -- in large-scale biomedical imaging applications with billio…

cs.CV2021★ 3 cited

Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies

Sorena Sarmadi, James J. Winkle, Razan N. Alnahhas +4

Our work targets automated analysis to quantify the growth dynamics of a population of bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of deforma…

math.OC2020★ 4 cited

Diffeomorphic Shape Matching by Operator Splitting in 3D Cardiology Imaging

Peng Zhang, Andreas Mang, Jiwen He +3

We develop an operator splitting approach to solve diffeomorphic matching problems for sequences of surfaces in three-dimensional space. The goal is to smoothly match, at a very fa…