126 citations · 734 across the 65 of their papers we have counts for
11 papers · 1 filter
Viewpoint Planning for Quantitative Coronary Angiography
Alexander Preuhs, Martin Berger, Sebastian Bauer +4
In coronary angiography the condition of myocardial blood supply is assessed by analyzing 2-D X-ray projections of contrasted coronary arteries. This is done using a flexible C-arm…
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
Cong Gao, Xingtong Liu, Michael Peven +2
Robotic surgery has been proven to offer clear advantages during surgical procedures, however, one of the major limitations is obtaining haptic feedback. Since it is often challeng…
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
Xingtong Liu, Ayushi Sinha, Mathias Unberath +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…
Augmented Reality-based Feedback for Technician-in-the-loop C-arm Repositioning
Mathias Unberath, Javad Fotouhi, Jonas Hajek +5
Interventional C-arm imaging is crucial to percutaneous orthopedic procedures as it enables the surgeon to monitor the progress of surgery on the anatomy level. Minimally invasive…
Exploiting Partial Structural Symmetry For Patient-Specific Image Augmentation in Trauma Interventions
Javad Fotouhi, Mathias Unberath, Giacomo Taylor +7
In unilateral pelvic fracture reductions, surgeons attempt to reconstruct the bone fragments such that bilateral symmetry in the bony anatomy is restored. We propose to exploit thi…
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…
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
Bastian Bier, Mathias Unberath, Jan-Nico Zaech +5
X-ray image guidance enables percutaneous alternatives to complex procedures. Unfortunately, the indirect view onto the anatomy in addition to projective simplification substantial…
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…
Double Your Views - Exploiting Symmetry in Transmission Imaging
Alexander Preuhs, Andreas Maier, Michael Manhart +3
For a plane symmetric object we can find two views - mirrored at the plane of symmetry - that will yield the exact same image of that object. In consequence, having one image of a…
On-the-fly Augmented Reality for Orthopaedic Surgery Using a Multi-Modal Fiducial
Sebastian Andress, Alex Johnson, Mathias Unberath +6
Fluoroscopic X-ray guidance is a cornerstone for percutaneous orthopaedic surgical procedures. However, two-dimensional observations of the three-dimensional anatomy suffer from th…
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…