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NVIDIA at MICCAI 2022

September 18-22

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

Join us at the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference at the Resorts World Convention Centre Singapore. Meet NVIDIA experts and learn the latest on MONAI, Federated Learning with NVIDIA Federated Learning Application Runtime Environment (NVFlare), and NVIDIA Clara Holoscan for a new era of software-defined medical devices.

MONAI Tutorial

September 22 8:00 a.m. - 3:00 p.m. SGT

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 Tutorial covers in-depth deep learning training with MONAI Core, from understanding the basics of medical-specific transforms and architectures, bundling AI models, Federated Learning, and state-of-the-art models like Swin UNETR. And at a high level, it will cover MONAI Label, an intelligent image labeling and learning tool, and MONAI Deploy, which helps package, test, and deploy AI applications.

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Workshops and Challenges

September 18 8:00 a.m. - 11:30 a.m. SGT	GRAIL: Graphs in biomedicAl Image Analysis Learn More >
September 18 8:00 a.m. - 11:30 a.m. SGT	SASHIMI: Simulation and Synthesis in Medical Imaging Learn More >
September 18 3:40 p.m. - 7:10 p.m. SGT	FAIR: aFfordable Healthcare and AI for Resource Diverse Global Health Learn More >
September 18 3:40 p.m. - 7:10 p.m. SGT	ACR-NCI-NVIDIA Breast Density Federated Learning Challenge Learn More >
September 22 8:00 a.m. - 11:30 a.m. SGT	Automated Machine Learning (AutoML) and Neural Architecture Search (NAS) in Medical Image Analysis Learn More >
September 22 8:00 a.m. - 3:00 p.m. SGT	DART: Domain Adaptation and Representation Transfer- Learning Transferable, Interpretable, and Robust Representations Learn More >
September 22 8:00 a.m. - 11:30 a.m. SGT	DeCaF: Distributed, Collaborative and Federated Learning Learn More >

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

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning (PDF, 4,897 KB)
Vishwesh Nath, Holger Roth, Dong Yang, Daguang Xu

Efficient population based hyperparameter scheduling for medical image segmentation (PDF, 2,429 KB)
Yufan He, Dong Yang, Andriy Myronenko, Daguang Xu

Clinical-realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-case Study (PDF, 1,156 KB)
Ziyue Xu, Andriy Myronenko, Dong Yang, Holger Roth, Can Zhao, Xiaosong Wang, Daguang Xu

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings
- Collaboration with Children’s National Hospital (PDF, 447 KB)
Pooneh Roshanitabrizi (CNHS), Holger Roth (NVIDIA), Alison Tompsett (CNHS), Athelia Paulli (CNHS), Kelsey Brown (CNHS), Andrea Beaton (CCHMC), Craig Sable (CNHS), Marius George Linguraru (CNHS)

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