IBIIS & AIMI Seminar: Industrial Applied Research in Healthcare and Federated Learning at NVIDIA

When:
June 21, 2023 @ 12:00 pm – 1:00 pm
2023-06-21T12:00:00-07:00
2023-06-21T13:00:00-07:00
Where:
ZOOM: https://stanford.zoom.us/j/92801875181?pwd=TzAyOXd2UDJwYjJkc2xQZ1doaXA3QT09
Cost:
Free
Contact:
Ramzi Totah
16507214161

Daguang Xu, PhD
Senior Research Manager
NVIDIA Healthcare

Title: Industrial Applied Research in Healthcare and Federated Learning at NVIDIA

Abstract: As the market leader in deep learning and parallel computing, NVIDIA is fully committed to advancing applied research in medical imaging. Our goal is to revolutionize the capabilities of medical doctors and radiologists by equipping them with powerful tools and applications based on deep learning. We firmly believe that the integration of deep learning and accelerated AI will have a profound impact on the life sciences, medicine, and the healthcare industry as a whole. To drive this transformative process, NVIDIA is actively democratizing deep learning through the provision of a comprehensive AI computing platform specifically designed for the healthcare community. These GPU-accelerated solutions not only promote collaboration but also prioritize the security of each institution’s information. By doing so, we are fostering a collective effort in harnessing the potential of deep learning to benefit healthcare.

During this talk, I will showcase remarkable research achievements accomplished by NVIDIA’s deep learning in medical imaging team. This includes breakthroughs in segmentation, self-supervised learning, federated learning, and other related areas. Additionally, I will provide insights into the exciting avenues of research that our team is currently exploring.