25 citations · 32 across the 5 of their papers we have counts for
6 papers
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…
Ensemble inversion for brain tumor growth models with mass effect
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani +2
We propose a method for extracting physics-based biomarkers from a single multiparametric Magnetic Resonance Imaging (mpMRI) scan bearing a glioma tumor. We account for mass effect…
Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems
Malte Brunn, Naveen Himthani, George Biros +2
We present a Gauss-Newton-Krylov solver for large deformation diffeomorphic image registration. We extend the publicly available CLAIRE library to multi-node multi-graphics process…
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani +1
We present a 3D fully-automatic method for the calibration of partial differential equation (PDE) models of glioblastoma (GBM) growth with mass effect, the deformation of brain tis…
Fast GPU 3D Diffeomorphic Image Registration
Malte Brunn, Naveen Himthani, George Biros +2
3D image registration is one of the most fundamental and computationally expensive operations in medical image analysis. Here, we present a mixed-precision, Gauss--Newton--Krylov s…
A Novel Domain Adaptation Framework for Medical Image Segmentation
Amir Gholami, Shashank Subramanian, Varun Shenoy +6
We propose a segmentation framework that uses deep neural networks and introduce two innovations. First, we describe a biophysics-based domain adaptation method. Second, we propose…