126 citations · 734 across the 65 of their papers we have counts for
10 papers · 1 filter
Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration
Robert Grupp, Mathias Unberath, Cong Gao +7
Fluoroscopy is the standard imaging modality used to guide hip surgery and is therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the complex…
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
Tom Vercauteren, Mathias Unberath, Nicolas Padoy +1
Data-driven computational approaches have evolved to enable extraction of information from medical images with a reliability, accuracy and speed which is already transforming their…
Fast and Automatic Periacetabular Osteotomy Fragment Pose Estimation Using Intraoperatively Implanted Fiducials and Single-View Fluoroscopy
Robert Grupp, Ryan Murphy, Rachel Hegeman +6
Accurate and consistent mental interpretation of fluoroscopy to determine the position and orientation of acetabular bone fragments in 3D space is difficult. We propose a computer…
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories
Jan-Nico Zaech, Cong Gao, Bastian Bier +4
Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction. These artifacts ar…
Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video
Xingtong Liu, Ayushi Sinha, Masaru Ishii +3
We present a self-supervised learning-based pipeline for dense 3D reconstruction from full-length monocular endoscopic videos without a priori modeling of anatomy or shading. Our m…
Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics
Javad Fotouhi, Tianyu Song, Arian Mehrfard +8
Robot-assisted minimally invasive surgery has shown to improve patient outcomes, as well as reduce complications and recovery time for several clinical applications. While increasi…
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…
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods
Xingtong Liu, Ayushi Sinha, Masaru Ishii +4
We present a self-supervised approach to training convolutional neural networks for dense depth estimation from monocular endoscopy data without a priori modeling of anatomy or sha…
A Biomechanical Study on the Use of Curved Drilling Technique for Treatment of Osteonecrosis of Femoral Head
Mahsan Bakhtiarinejad, Farshid Alambeigi, Alireza Chamani +3
Osteonecrosis occurs due to the loss of blood supply to the bone, leading to spontaneous death of the trabecular bone. Delayed treatment of the involved patients results in collaps…
Localizing dexterous surgical tools in X-ray for image-based navigation
Cong Gao, Mathias Unberath, Russell Taylor +1
X-ray image based surgical tool navigation is fast and supplies accurate images of deep seated structures. Typically, recovering the 6 DOF rigid pose and deformation of tools with…