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

At the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference at the Resorts World Convention Centre Singapore, NVIDIA experts shared 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 and Holoscan Spotlight

Uniting Doctors with Data Scientists to Accelerate AI in Medicine

MONAI is uniting doctors with data scientists to accelerate AI in medicine. Hear from leaders and practitioners in medicine about how they are using MONAI to turn AI into clinical impact.

Developing Digital Twins for Medical Devices

Watch how NVIDIA Clara Holoscan with NVIDIA Omniverse™ gives surgeons the ability to practice patient-specific procedures that can improve surgical efficiency and reduce patient time in the operating room.

Open-Source Healthcare AI Innovation Continues to Expand with MONAI v1.0

Open-Source Healthcare AI Innovation Continues to Expand with MONAI v1.0

Project MONAI is continuing to expand its capabilities to help developers accelerate medical imaging AI workflows. The release of MONAI 1.0 brings exciting updates, including MONAI Model Zoo, Auto-3D Segmentation, and active learning in MONAI Label.

Powering Ultra-High Speed Frame Rates in AI Medical Devices with the NVIDIA Clara Holoscan SDK

Powering Ultra-High Speed Frame Rates in AI Medical Devices with the NVIDIA Clara Holoscan SDK

NVIDIA Clara Holoscan SDK now provides a lightning-fast frame rate of 240Hz for 4K video that allows developers to combine data from more sensors and build AI applications that can provide surgical guidance. 

Workshops and Challenges

GRAIL: Graphs in biomedicAl Image Analysis
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SASHIMI: Simulation and Synthesis in Medical Imaging
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FAIR: aFfordable Healthcare and AI for Resource Diverse Global Health
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ACR-NCI-NVIDIA Breast Density Federated Learning Challenge
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Automated Machine Learning (AutoML) and Neural Architecture Search (NAS) in Medical Image Analysis
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DART: Domain Adaptation and Representation Transfer- Learning Transferable, Interpretable, and Robust Representations
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DeCaF: Distributed, Collaborative and Federated Learning
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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.

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

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