/tag/matlab

  • MATLAB Seminar March 16 3-4PM: Medical Image Analysis and AI Workflows

     Medical images come from multiple sources such as MRI, CT, X-ray, ultrasound, and PET. Analysis of these images requires a comprehensive environment for data access, visualization, processing, and algorithm development. The main challenge is to extract clinically meaningful information based on advanced techniques such as Artificial Intelligence (AI). To achieve this, one needs to clean, segment, register, and label a large collection of images. For the AI analysis, there are many more challenges such as iteratively adjusting AI models or learning parameters. MATLAB provides tools such as Medical Imaging Toolbox and Deep Learning Toolbox and algorithms for end-to-end medical image analysis and AI workflow.
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  • Workshops

     UVA Research Computing provides training opportunities covering a variety of data analysis, basic programming and computational topics. All of the classes listed below are taught by experts and are freely available to UVa faculty, staff and students.
    New to High-Performance Computing? We offer orientation sessions to introduce you to the Afton & Rivanna HPC systems on Wednesdays (appointment required).
    Wednesdays 3:00-4:00pm Sign up for an “Intro to HPC” session Upcoming Workshops DATE WORKSHOP INSTRUCTOR There are currently no training events scheduled. Please check back soon! Research Computing is partnering with the Research Library and the Health Sciences Library to deliver workshops covering a variety of research computing topics.
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  • Quantifying Calcium Oscillations

     Calcium oscillations signify communication between zona glomerulosa cells of the mouse adrenal gland. Researchers in the Barrett Lab can capture these oscillatory events with calcium imaging, but they had difficulty analyzing the results. The Barrett Lab was in need of a comprehensive MATLAB program for quantitative analysis of the intracellular calcium signals from their cell imaging experiments. Prior to Research Computing’s involvement in the project, the Barrett Lab had been using fragments of code to analyze their data with little success. Research Computing developed a MATLAB application to create an efficient, centralized workflow that is also accessible to people who are new to MATLAB and programming.
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  • Automated Image Labeling and Iterative Learning - Live Seminar: September 15, 2020

     MathWorks engineers will offer a free live webinar on September 15th from 2:00 to 3:00 Eastern time.
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  • Deep Learning for Neuroscience - Live Seminar: September 22, 2020

     MathWorks engineers will offer a free live webinar on September 22nd from 2:00 to 3:30 Eastern time.
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  • XSEDE: Extreme Science and Engineering Development Environment

     XSEDE’s Mission was to substantially enhance the productivity of a growing community of scholars, researchers, and engineers through access to advanced digital services that support open research; and coordinate and add significant value to the leading cyberinfrastructure resources funded by the NSF and other agencies. — The XSEDE project ended on August 31, 2022 and was succeeded by the ACCESS project.
    XSEDE Home: www.xsede.org
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  • Matlab and UVA HPC

     MATLAB is an integrated technical computing environment from the MathWorks that combines array-based numeric computation, advanced graphics and visualization, and a high-level programming language. Separately licensed toolboxes provide additional domain-specific functionality.
    Mathworks provides MATLAB examples and tutorials for all experience levels here.
    Available Versions To find the available versions and learn how to load them, run:
    module spider matlab The output of the command shows the available MATLAB
    module versions. To load the most recent version of MATLAB
    , at the terminal window prompt run:
    module load matlab For detailed information about a particular MATLAB
    module, including how to load the module, run the module spider command with the module’s full version label.
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  • Data Analysis Packages on Ivy Linux VM

    Available Packages The following Data Analysis packages are available on the Ivy Linux Virtual Machines
    MATLAB MATrix LABoratory (MATLAB for short) is a software designed for quick scientific calculations, such as matrix manipulation, plotting, and others.
    It has hundreds of built-in functions for a wide variety of computations and several tools designed for specific
    research disciplines, including statistics and partial differential equations.

    • Limited licenses available, for more information on MATLAB and licensing, please click [here] (/userinfo/ivy/ivy-linux-sw/data-analysis/matlab)
      SAS SAS is large platform independent software with multiple components, and is used for statistical analysis, data ETL operations, as well as several other
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  • UVa Licensed MATLAB on Ivy Windows Virtual Machines

     MATLAB Overview MATLAB is a high-performance language for technical computing. It integrates
    computation, visualization, and programming environment. MATLAB stands for MATrix LABoratory. MATLAB was made
    to provide easy access to matrix software developed by the LINPACK (linear system package)
    and EISPACK (Eigen system package) projects. MATLAB includes a programming language
    environment with built-in editing and debugging tools, and supports object-oriented programming.
    Programming in MATLAB MATLAB has many advantages compared to conventional computer languages (e.g.,
    C, FORTRAN) for solving technical problems. MATLAB is an interactive system whose
    basic data element is an array, and almost all problems can be solved in MATLAB using that
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