Neurreg: Neural registration and its application to image segmentation

Registration is a fundamental task in medical image analysis which can be applied to several tasks including image segmentation, intra-operative tracking, multi-modal image alignment, and motion analysis. Popular registration tools such as ANTs and NiftyReg optimize an objective function for each pair of images from scratch which is time-consuming for large images with complicated deformation. Facilitated by the rapid progress of deep learning, learning-based approaches such as VoxelMorph have been emerging for image registration.

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Can Zhao

Dr. Can Zhao has been a Research Scientist at NVIDIA since 2019, focusing on deep learning for medical imaging. Her research focuses on developing foundation models and generative AI technologies that can have broad impact on medical imaging research and healthcare. She led the development of object detection and image generation modules of MONAI, an open-source AI framework for healthcare research.

Wenqi Li

Wenqi Li is a senior applied research scientist at NVIDIA, focusing on computer vision and machine learning techniques for medical image analysis. Wenqi received his Ph.D. in applied computing from The University of Dundee (Scotland, UK) in 2015.

Personal webpage: https://wyli1072.appspot.com/

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