36 citations · 36 across the 1 of their papers we have counts for
5 papers
Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging
Javad Fotouhi, Giacomo Taylor, Mathias Unberath +5
We present a novel methodology to detect imperfect bilateral symmetry in CT of human anatomy. In this paper, the structurally symmetric nature of the pelvic bone is explored and is…
LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices
Laura Fink, Sing Chun Lee, Jie Ying Wu +6
With the increasing computational power of today's workstations, real-time physically-based rendering is within reach, rapidly gaining attention across a variety of domains. These…
Closing the Calibration Loop: An Inside-out-tracking Paradigm for Augmented Reality in Orthopedic Surgery
Jonas Hajek, Mathias Unberath, Javad Fotouhi +6
In percutaneous orthopedic interventions the surgeon attempts to reduce and fixate fractures in bony structures. The complexity of these interventions arises when the surgeon perfo…
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee +4
Machine learning-based approaches outperform competing methods in most disciplines relevant to diagnostic radiology. Interventional radiology, however, has not yet benefited substa…
Plan in 2D, execute in 3D: An augmented reality solution for cup placement in total hip arthroplasty
Javad Fotouhi, Clayton P. Alexander, Mathias Unberath +9
Reproducibly achieving proper implant alignment is a critical step in total hip arthroplasty (THA) procedures that has been shown to substantially affect patient outcome. In curren…