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09/16/2022
CLAIRE – Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications
We study the performance of CLAIRE – a diffeomorphic multi-node, multi-G...
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08/28/2021
Overlapping Domain Decomposition Preconditioner for Integral Equations
The discretization of certain integral equations, e.g., the first-kind F...
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06/10/2021
Ensemble inversion for brain tumor growth models with mass effect
We propose a method for extracting physics-based biomarkers from a singl...
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02/24/2021
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization
Current clinical decision-making in oncology relies on averages of large...
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11/16/2020
RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems
We introduce a randomized algorithm, namely RCHOL, to construct an appro...
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09/09/2020
An efficient method for modeling flow in porous media with immersed faults
Modeling flow in geosystems with natural fault is a challenging problem ...
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09/09/2020
KNN-DBSCAN: a DBSCAN in high dimensions
Clustering is a fundamental task in machine learning. One of the most su...
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08/28/2020
Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems
We present a Gauss-Newton-Krylov solver for large deformation diffeomorp...
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06/17/2020
Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
We present a 3D fully-automatic method for the calibration of partial di...
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04/19/2020
Fast GPU 3D Diffeomorphic Image Registration
3D image registration is one of the most fundamental and computationally...
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11/04/2019
BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part II
In Part I of this article, we proposed an importance sampling algorithm ...
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11/02/2019
BIMC: The Bayesian Inverse Monte Carlo method for goal-oriented uncertainty quantification. Part I
We consider the problem of estimating rare event probabilities, focusing...
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10/27/2019
Fast Evaluation and Approximation of the Gauss-Newton Hessian Matrix for the Multilayer Perceptron
We introduce a fast algorithm for entry-wise evaluation of the Gauss-New...
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06/10/2019
ANODEV2: A Coupled Neural ODE Evolution Framework
It has been observed that residual networks can be viewed as the explici...
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02/27/2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
Residual neural networks can be viewed as the forward Euler discretizati...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/11/2018
A Novel Domain Adaptation Framework for Medical Image Segmentation
We propose a segmentation framework that uses deep neural networks and i...
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08/13/2018
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration
We introduce CLAIRE, a distributed-memory algorithm and software for sol...
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02/28/2018
PDE-constrained optimization in medical image analysis
PDE-constrained optimization problems find many applications in medical ...
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07/01/2017
Geometry-Oblivious FMM for Compressing Dense SPD Matrices
We present GOFMM (geometry-oblivious FMM), a novel method that creates a...
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08/11/2016
Distributed-memory large deformation diffeomorphic 3D image registration
We present a parallel distributed-memory algorithm for large deformation...
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04/07/2016
A Semi-Lagrangian two-level preconditioned Newton-Krylov solver for constrained diffeomorphic image registration
We propose an efficient numerical algorithm for the solution of diffeomo...
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02/03/2016
Inv-ASKIT: A Parallel Fast Diret Solver for Kernel Matrices
We present a parallel algorithm for computing the approximate factorizat...
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03/02/2015
Constrained H^1-regularization schemes for diffeomorphic image registration
We propose regularization schemes for deformable registration and effici...
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08/27/2014