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Hamidreza Khodashenas

1 accepted papers

2022

Y-Net: A Deep Convolutional Architecture for 3D Estimation of Contact Forces in Intracardiac Catheters

RA-L 2022

Estimating the applied forces in three dimensions during catheter-based surgeries can make the entire process tangible for surgeons. This will result in diminishing the risk of fatal errors while improving the outcome of the surgery. In this work, a novel deep convolutional neural network is propose

Cited by 18SourceScholar