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Date: November 30,2021
Time: 3:00pm – 4:00pm CT
Duration: 1 hour

Researchers have spent decades developing new treatments, accelerating delivery of care, and improving the quality of life for trauma patients. AI-assisted medical imaging has empowered radiologists to isolate and identify the region of interest in CT scans; thus, reducing examination time by more than 95 percent. As a result, radiologists can accurately pinpoint the optimal location of an injury or disorder and deliver better lifesaving care. However, real-world design and development of large-scale medical imaging platforms pose several architectural choices that lead to inefficient production deployments.

Join a webinar with NVIDIA and Quantiphi, an Elite NVIDIA Service Delivery Partner, to learn about:

  • Developing AI applications for segmenting brain injuries, lung perfusion, and blood disorders
  • Addressing practical challenges like data harmonization, patient de-identification, and data augmentation
  • Building robust GPU-powered medical image segmentation workflows



You will receive an email with instructions on how to join the webinar shortly.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.


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Brad Genereaux

Medical Imaging & Smart Hospitals Alliance Manager, NVIDIA

Brad Genereaux is Medical Imaging and Smart Hospitals Alliance Manager at NVIDIA, where he is responsible for developer relations with a keen focus on accelerating artificial intelligence and deep learning, visualization, virtualization, and analytics in this space. As a passionate and engaged healthcare and medical imaging leader, Brad evangelizes the ubiquitous adoption and integration of seamless healthcare and medical imaging workflows into everyday clinical practice, specializing in turnkey healthcare solutions at scale. Brad is at the forefront of imaging interoperability within the healthcare ecosystem and is deeply involved with the community in building and implementing standards like DICOM, HL7, and IHE to make this happen.

Siddharth Kotwal

Practice Head - NVIDIA AI and Jetson, Quantiphi

Siddharth Kotwal leads the NVIDIA Practice at Quantiphi, an award-winning Applied AI and Software Services company. He primarily focuses on commercializing innovation and working backwards from customer needs to conceptualize, design, and develop scalable AI solutions. His area of expertise is hybrid video analytics and deep learning for natural language understanding. Outside of work, Siddharth enjoys reading about technology policy and playing blues music.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018