Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source
Medical images offer vast opportunities to improve clinical workflows and outcomes. Specifically, in the context of cancer radiotherapy, clinicians need to go through computer tomography (CT) scans and manually segment (contour) anatomical structures. This is…
Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source webinar
In this webinar, Dr. Ozan Oktay and Dr. Anton Schwaighofer will analyze these challenges within the context of image-guided radiotherapy procedures and will present the latest research outputs of Project InnerEye in tackling these challenges.…
Mixed reality and robotics: Unlocking more intuitive human-machine collaboration
Robots are becoming more capable and cost-effective, leading to an increasing role in our daily lives, both at home and in the workplace. However, for robots to operate easily alongside humans, people should be able…
Mixed reality and robotics: Unlocking more intuitive human-machine collaboration webinar
In this webinar, join Jeff Delmerico and Helen Oleynikova, Senior Scientists at the Mixed Reality and AI Zurich Lab, in exploring how mixed reality (MR)—which blends the digital world with the physical one—can be used…
MMTM: Multimodal Transfer Module for CNN Fusion (short video)
CVPR 2020 short video MMTM: Multimodal Transfer Module for CNN Fusion – Microsoft Research