no code implementations • 23 Jun 2023 • FNU Abhimanyu, Andrew L. Orekhov, John Galeotti, Howie Choset
In this paper, we present a novel deep-learning model for deformable registration of ultrasound images and an unsupervised approach to training this model.
no code implementations • 23 Jun 2023 • FNU Abhimanyu, Andrew L. Orekhov, Ananya Bal, John Galeotti, Howie Choset
We also show how our approach, together with a robot performing force-controlled scans, can be used to generate synthetic deformed images to significantly expand the size of a femoral vessel segmentation training dataset without the need for additional manual labeling.
no code implementations • 8 Sep 2022 • FNU Abhimanyu, Tejas Zodage, Umesh Thillaivasan, Xinyue Lai, Rahul Chakwate, Javier Santillan, Emma Oti, Ming Zhao, Ralph Boirum, Howie Choset, Matthew Travers
Conventional recycling processes rely on shredding and sorting waste streams, but for WEEE, which is comprised of numerous dissimilar materials, we explore targeted disassembly of numerous objects for improved material recovery.