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titleTraining Update: March 16, 2020

As part of Harvard Medical School's response to COVID-19, HMS Research Computing is now working remotely.

All training classes will be held online until further notice, via Zoom meetings.

Registrations are now managed through the Harvard Training Portal, which requires a Harvard ID (HUID). Those members of the extensive HMS community who do not currently have HUIDs - such as employees at affiliate hospitals, or collaborators from other institutions - may self-register for one as a "Person of Interest" with their faculty member's sponsorship. This form may take several days to process, and is available here: 

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Medical Image Processing and Deep Learning with MATLAB

 

MATLAB helps you gain insight into your image and video data, develop algorithms, and automate image analysis tasks. With just a few lines of MATLAB code, you can apply deep learning techniques and build deep learning models without having to be an expert.

 

Join us for a complimentary 3-part webinar series and learn how to:

 

  • Use new apps and features to simplify image data exploration, processing, visualization, and algorithm development

  • Apply advanced computer vision techniques in biomedical imaging for object detection, tracking, and feature extraction

  • Preprocess and label datasets faster: automate ground-truth labeling of image, video, and audio data with our Deep Network Designer app

  • Access the latest models from TensorFlow, Keras, Caffe, PyTorch, and other open-source frameworks using ONNX

  • Accelerate your algorithms on NVIDIA® GPUs, clusters, and cloud resources

 

Session 1: Medical Image Processing with MATLAB (May 13, 2021)

Session 2: Pixels to Models: Taking Medical Imaging to the Next Level (May 20, 2021)

Session 3: Deep Learning in Medical Imaging (May 27, 2021)

 

 

To learn more about each session and register visit: https://www.mathworks.com/company/events/seminars/medical-image-processing-and-deep-learning-with-matlab.html

Medical Image Processing and deep Learning with MATLAB

MATLAB helps you gain insight into your image and video data, developed algorithms, and automate image analysis tasks. With just a few lines of MATLAB code, you can apply deep learning techniques and build deep learning models without having to be an expert.

Join us for a complimentary 3-part webinar series and learn how to:

  • Use new apps and features to simplify image data exploration, processing, visualization, and algorithm development

  • Apply advanced computer vision techniques in biomedical imaging for object detection, tracking and feature extraction

  • Preprocess and label datasets faster: automate ground-truth labeling of image, video, and audio data with our Deep Network Designer app

  • Access the latest models from TensorFlow, Kera, Caffe, PyTorch, and other open-source frameworks using ONNX

  • Accelelrate your algorithms on NIVIDA GPUs, clusters and cloud resources

Session 1: Medical IMage Processing with MATLAB (May 13, 2021)

Session 2: Pixels to Models: Taking Medical Imaging to the Next Level (May 20, 2021)

Session 3: Deep Learning in Medical Imaging (May 27, 2021)

To learn more about each session and register visit: https://www.mathworks.com/company/events/seminars/medical-image-processing-and-deep-learning-with-matlab.html

Spring 2021 (Part 2) Registration is open!

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