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MICCAI 2021

September 27th - October 1st, 2021

Virtual Event

Explore the best of MICCAI’s groundbreaking research in deep learning medical imaging research.

NVIDIA at MICCAI

Meet Prerna Dogra, Nicola Rieke, Marc Edgar and Nadim Daher explaining the highlights of NVIDIA Research for MICCAI. You will hear about the latest MONAI Release, Federated Learning with NVIDIA Federated Learning Application Runtime Environment (NVFlare), and NVIDIA Clara AGX Developer Kit for a new era of software defined medical devices.

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MONAI Bootcamp

MONAI is a freely available, community-supported, open-source PyTorch-based framework for deep learning in medical imaging. It provides domain-optimized foundational capabilities for developing medical imaging training workflows in a native PyTorch paradigm. The MONAI bootcamp covered both beginner and advanced, including new projects released through the Project MONAI.

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Demos

AI-Augmented Surgery in a Box

Join the CAMMA & NVIDIA demo showing the real-time deployment of multiple AI models for endoscopic video analysis using CLARA AGX.

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Conference Schedule

At MICCAI 2021, explore a range of groundbreaking work in the field of medical imaging. Take a closer look at the scheduled NVIDIA sessions that are part of this year’s program.

PRE- CONFERENCE	MONDAY, 27TH SEPT	TUESDAY, 28TH SEPT	WEDNESDAY, 29TH SEPT	THURSDAY, 30TH SEPT	FRIDAY, 1ST OCT	POST- CONFERENCE
22nd - 24th Sept MONAI MICCAI Bootcamp 2021	Affordable healthcare and AI for Resource diverse global health (FAIR) All day	MICCAI Student Board: Academia & Industry event 19.30 pm UTC			Distributed And Collaborative Learning (DCL) All day	23rd - 24th Oct MICCAI Hackathon 9:00 AM UTC
	ASMUS – 2021: International Workshop of Advances in Simplifying Medical UltraSound (ASMUS) All day				Domain Adaptation and Representation Transfer (DART) All day
	Kick-Off MICCAI Hackathon 9:30 AM UTC

Featured Papers

The Future of Digital Health with Federated Learning (PDF, 1,060 KB)
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust & M. Jorge Cardoso

Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging (PDF 1,681 KB)
Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures (PDF 650 KB)
Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu

The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation (PDF 2,327 KB)
Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports (PDF 821 KB)
Riddhish Bhalodia, Ali Hatamizadeh, Leo Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu

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Join the Community of 8k+ Startups

NVIDIA Inception nurtures cutting-edge startups that are revolutionizing industries through the applications or advancement of accelerated computing technologies.

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Learn more about NVIDIA in Medical Imaging.

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