Elevate your AI Skills using MATLAB : Leveraging AI for Medical Imaging and Signal Processing
July 29, 2025
12:30 PM - 1:30 PM
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Leveraging AI for Medical Imaging and Signal Processing
AI techniques such as a deep learning are increasingly seen as powerful tools to address many complex problems in image segmentation and classification, such as pathology and radiology workflows. Also, the use of AI techniques on signals and time-series data is growing in popularity across different industries for a variety of applications, including many in the medical and healthcare areas such as digital health, physiological signal analysis, and patient monitoring applications.
In this technical talk, we'll explore in detail the workflow involved in developing and adapting a deep learning algorithm for medical image classification or segmentation problem using real-world case studies such as Left-Ventricle (LV) segmentation from cardiac MRI images and classifying parasitology slides. We will also use real-world EMG and ECG datasets to demonstrate various machine learning and deep learning approaches in MATLAB to show classification and prediction frameworks for 1-D signals.
Highlights include:
- Import and manage large sets of images and signals
- Exploring and evaluating machine learning models, designing new deep networks, optimizing hyperparameters, and exchanging models with deep learning frameworks via ONNX
- Perform classification tasks on images, and pixel-level semantic segmentation on images
- Applying time-frequency transformations and Wavelets to pre-process signals, and extract signal features, and automating deep feature extraction
- Semi-automate ground-truth labeling efforts to increase training dataset
- Understand hyperparameter tuning and why it's important
- Accelerating computations using GPUs and deploying models on embedded targets
Who Should Attend
Faculty, staff, researchers, and students are welcome!
About the Presenter
Reece Teramoto is a Senior Application Engineer for MathWorks. He has been with MathWorks for 8 years, working with engineers and researchers in the Aerospace, Defense, and Government industries. He specializes in the areas of artificial intelligence (AI), machine learning, and data analytics, and has partnered with customers on applications using AI for image processing, signal processing, and predictive maintenance. Reece graduated with a B. CS and B. EE from the University of Portland.
This event is part of a series of related topics. View the full list of events in this series.
Date posted
Jul 22, 2025
Date updated
Jul 22, 2025