A5101690002- Manufacturing Process and Optimization
- Advanced Numerical Analysis Techniques
- Advanced MRI Techniques and Applications
- Model Reduction and Neural Networks
- Advanced Image and Video Retrieval Techniques
- Optical Coherence Tomography Applications
- Computer Graphics and Visualization Techniques
- Retinal Imaging and Analysis
- Advanced machining processes and optimization
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Medical Image Segmentation Techniques
- Fluid Dynamics and Turbulent Flows
- Advanced X-ray Imaging Techniques
- Image Processing and 3D Reconstruction
- Force Microscopy Techniques and Applications
- Seismic Imaging and Inversion Techniques
- Image Retrieval and Classification Techniques
- Cardiovascular Function and Risk Factors
- Photoacoustic and Ultrasonic Imaging
- Gene Regulatory Network Analysis
- Robotics and Sensor-Based Localization
- Advanced Manufacturing and Logistics Optimization
- Enzyme Structure and Function
University of Wisconsin–Milwaukee
2014-2024
University of Notre Dame
2021
Children's Hospital of Philadelphia
2020
University of Pennsylvania
2020
Milwaukee School of Engineering
2010-2015
Australian National University
2002-2012
Michigan Technological University
2004-2009
University of California, Davis
2006
University of California, Berkeley
2001-2004
Manufacturing Institute
2001-2002
Near-wall blood flow and wall shear stress (WSS) regulate major forms of cardiovascular disease, yet they are challenging to quantify with high fidelity. Patient-specific computational experimental measurement WSS suffers from uncertainty, low resolution, noise issues. Physics-informed neural networks (PINNs) provide a flexible deep learning framework integrate mathematical equations governing data. By leveraging knowledge about the (herein, Navier–Stokes), PINN overcomes large data...
Optical Coherence Tomography (OCT) is one of the most emerging imaging modalities that has been used widely in field biomedical imaging. From its emergence 1990's, plenty hardware and software improvements have made. Its applications range from ophthalmology to dermatology coronary etc. Here, focus on OCT retinal able non-invasively produce cross-sectional volume images tissues which are further for analysis tissue structure properties. Due underlying physics, usually suffer a granular...
Multi-modal image registration is the primary step in integrating information stored two or more images, which are captured using multiple imaging modalities. In addition to intensity variations and structural differences between they may have partial full overlap, adds an extra hurdle success of process. this contribution, we propose a multi-modal mono-modal transformation method that facilitates direct application well-founded methods order obtain accurate alignment images both cases, with...
Optical Coherence Tomography (OCT) is an emerging technique in the field of biomedical imaging, with applications ophthalmology, dermatology, coronary imaging etc. Due to underlying physics, OCT images usually suffer from a granular pattern, called speckle noise, which restricts process interpretation. Here, sparse and low rank decomposition based method used for reduction retinal images. This works on input data that consists several B-scans same location. The next step batch alignment...
“CyberCut™” is a testbed for an Internet-based CAD/CAM system. It was specifically designed to be networked, automated system, with seamless communication flow from client-side designer server-side machining service. The creation of CyberCut required several new software modules. These include: a) Web-based design tool in which Design-for-Manufacturing information and rules constrain the manufacturable parts; b) geometric representation called SIF-DSG, unambiguous between process planner; c)...
<h3>Objectives</h3> To investigate the extent improvement or deterioration in employee job security, control workload is associated with a change mental health. <h3>Design</h3> Self-report panel data (2000, 2004) on health (symptoms of depression and generalised anxiety) demands, insecurity. Changes exposures outcomes were calculated by subtracting wave 1 from 2 scores. regressed onto changes work conditions, adjusting for confounders. Sensitivity analyses assessed reverse causation, floor...
The advent of the X-ray free-electron laser (XFEL) has made it possible to record diffraction snapshots biological entities injected into beam before onset radiation damage. Algorithmic means must then be used determine snapshot orientations and thence three-dimensional structure object. Existing Bayesian approaches are limited in reconstruction resolution typically 1/10 object diameter, with computational expense increasing as eighth power ratio diameter resolution. We present an approach...
In this paper, we describe a new brute force algorithm for building the -Nearest Neighbor Graph (k-NNG). The k-NNG has many applications in areas such as machine learning, bio-informatics, and clustering analysis. While there are very efficient algorithms data of low dimensions, high dimensional search is best algorithm. There two main parts to algorithm: first part finding distances between input vectors, which may be formulated matrix multiplication problem; second selection k-NNs each...
The Gillespie Stochastic Simulation Algorithm (GSSA) and its variants are cornerstone techniques to simulate reaction kinetics in situations where the concentration of reactant is too low allow deterministic such as differential equations. inherent limitations GSSA include time required for executing a single run need multiple runs parameter sweep exercises due stochastic nature simulation. Even very efficient prohibitively expensive compute perform sweeps. Here we present novel variant...
Advancements in widefield infrared spectromicroscopy have recently been demonstrated following the commissioning of IRENI (InfraRed ENvironmental Imaging), a Fourier Transform (FTIR) chemical imaging beamline at Synchrotron Radiation Center. The present study demonstrates effects magnification, spatial oversampling, spectral pre-processing and deconvolution, focusing on intracellular detection distribution an exogenous metal tris-carbonyl derivative 1 single MDA-MB-231 breast cancer cell. We...
Image feature detector and descriptor algorithms have made a big advance in almost every area of computer vision applications including object localisation, tracking, mobile robot mapping, watermarking, panorama stitching 3D surface reconstruction by assisting the detection description points set given images. In this paper, we evaluate performance four robust namely SIFT, SURF, BRIEF ORB on multi-view microscopic samples obtained scanning electron microscope (SEM), widely used equipment...
We use the Cellular Potts Model (CPM) to study contact angle (CA) hysteresis in multiphase (solid-liquid-vapour) systems. simulate a droplet over tilted patterned surface, and bubble placed under surface immersed liquid. The difference between bubbles droplets was discussed through their CA hysteresis. Dependency of on structure other parameters also investigated. This analysis allows decoupling 1D (pinning triple line) 2D (adhesion area) effects provides new insight into nature