MICCAI 2021 Daily – Thursday

Project MONAI was incubated at MICCAI 2019 with the vision of being an open source, freely available collaborative framework built by and for the MICCAI community. The goal is to accelerate the pace of innovation and clinical translation by building a robust software framework that benefits nearly every level of medical imaging, deep learning research, and deployment. Through this journey, Project MONAI is now supported by 18 organizations and 100 contributors, working across 10 working groups, and an advisory board chaired by Dr. Stephen Aylward of Kitware. Learn More Project MONAI has made great strides in accomplishing its vision and continues to release new and updated software libraries to address the needs and rapidly evolving AI research directions of the medical imaging community. At MICCAI 2021, Project MONAI is releasing: • MONAI v0.7 which is the core library for designing, training, evaluating, and comparing domain-specialized healthcare imaging AI models. • MONAI Label v0.2 is Project MONAI’s open-source AI-assisted annotation tool that helps researchers and clinicians collaborate and iteratively train AI models as they annotate their data in user-friendly applications such as 3D Slicer and OHIF. 16 DAILY MICCAI Thursday Medical Imaging Technology Prerna Dogra is a Senior Product Manager for Healthcare at NVIDIA, where she leads the Clara Application Framework and the collaborative open- source initiative Project MONAI. Vanessa Braunstein is a molecular biologist by training and now works on the product marketing team at NVIDIA. She received her BA from UC Berkeley and then studied public health and business at UCSF and UCLA. Stephen Aylward is the senior director of strategic initiatives at Kitware. He is also a MICCAI Fellow and an adjunct professor of Computer Science at the University of North Carolina. From AI research innovation to clinical evaluation powered by MONAI