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Imaging


SCI’s imaging work addresses fundamental questions in 2D and 3D image processing, including filtering, segmentation, surface reconstruction, and shape analysis. In low-level image processing, this effort has produce new nonparametric methods for modeling image statistics, which have resulted in better algorithms for denoising and reconstruction. Work with particle systems has led to new methods for visualizing and analyzing 3D surfaces. Our work in image processing also includes applications of advanced computing to 3D images, which has resulted in new parallel algorithms and real-time implementations on graphics processing units (GPUs). Application areas include medical image analysis, biological image processing, defense, environmental monitoring, and oil and gas.

Sarang Joshi
Sarang Joshi
– Shape Statistics
– Segmentation
– Brain Atlasing
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Tolga Tasdizen
Tolga Tasdizen
– Image Processing
– Machine Learning
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Shireen Elhabian
Shireen Elhabian
– Image Analysis
– Computer Vision
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Chris Johnson
Chris Johnson
– Diffusion Tensor Analysis
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Amir Arzani
Amir Arzani
– Cardiovascular biomechanics
– Biotransport
– Scientific machine learning
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Research


Center for Integrative Biomedical Computing (CIBC)
CIBC is dedicated to producing open-source software tools for biomedical image-based modeling, biomedical simulation and estimation, and the visualization of biomedical data. The Center works closely with software users and collaborators in a range of scientific domains to produce user-optimized tools and provides advice, technical support, workshops, and education to enhance user success.
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Computational Biomechanics Group
Our research group focuses on studying the mechanisms behind initiation and progression of different diseases with a particular focus on cardiovascular disease. Particular attention is given to developing computational models that can capture the multiscale and multiphysics nature of cardiovascular disease. Another key focus of our lab is developing new scientific machine learning models with a broad range of applications. Our work spans a variety of disciplines such as computational fluid dynamics (CFD), computational nonlinear structural mechanics, scientific machine learning, mass transport, dynamical systems, medical imaging, mechanobiology, and multiscale modeling.
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