AI for Biomedical Signals and Image Data

Event Type Start Time End Time
WebEx 24 Jun 2020 - 09:00 CEST 24 Jun 2020 - 12:30 CEST

Overview

The use of Artificial Intelligence (AI) techniques is growing in the medical and healthcare industry such as radiology diagnostics, digital health, physiological signal analysis, and patient monitoring applications. These powerful techniques can be applied to signals as well as images to perform tasks such as segmentation, classification and prediction.

MathWorks developers have purpose-built MATLAB's machine and deep learning functionality for engineering and science workflows. We understand that success goes beyond just developing an AI model. Ultimately, models need to be incorporated into a medical device or a cloud platform to deliver a final product or a service to the market.

In this technical presentation, we will explore the workflows involved in developing and deploying AI-based algorithms for medical applications. We will use real-world EMG and ECG datasets to demonstrate different machine learning and deep learning approaches to classify and predict 1-D time-series signals. We will also use these techniques for medical image classification and segmentation using clinical case studies such as left ventricle (LV) segmentation from cardiac MRI images and classification of parasitology slide images.

Highlights

  • Importing labelled biomedical signal datasets
  • Interactive labelling of biomedical signal and image data
  • Applying time-frequency and wavelet transformations to pre-process signals, extract signal features and automate deep feature extraction
  • Training machine learning models, designing new deep neural networks, evaluating model performance and optimising hyperparameters
  • Exchanging models with other deep learning frameworks via ONNX format
  • Accelerating model training with GPUs and deploying models on embedded target hardware

About the Presenter

Jérémy holds a M.Eng. (Dipl-Ing) with a major in Biomedical Engineering from Télécom Physique Strasbourg, France. Before joining MathWorks, he worked in the field of Systems Biology at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany). As a Senior Application Engineer at MathWorks, he focuses on Computational Biology as well as Data Analytics applications.

Agenda

Time Session
9:00 – 10:15 Machine and Deep Learning for Medical Signals
10:15 – 10:45  Break
10:45 – 12:00 Machine and Deep Learning for Medical Imaging
12:00 – 12:15 Q&A

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