no code implementations • 18 Mar 2024 • Antonio Pepe, Richard Schussnig, Jianning Li, Christina Gsaxner, Dieter Schmalstieg, Jan Egger
Shape reconstruction from imaging volumes is a recurring need in medical image analysis.
no code implementations • 1 Dec 2023 • Christina Gsaxner, Shohei Mori, Dieter Schmalstieg, Jan Egger, Gerhard Paar, Werner Bailer, Denis Kalkofen
Diminished reality (DR) refers to the removal of real objects from the environment by virtually replacing them with their background.
no code implementations • 6 Sep 2022 • Christina Gsaxner, Jianning Li, Antonio Pepe, Yuan Jin, Jens Kleesiek, Dieter Schmalstieg, Jan Egger
The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-through augmented reality display, is the main player in the recent boost in medical augmented reality research.
no code implementations • 22 Nov 2021 • Antonio Pepe, Jan Egger, Marina Codari, Martin J. Willemink, Christina Gsaxner, Jianning Li, Peter M. Roth, Gabriel Mistelbauer, Dieter Schmalstieg, Dominik Fleischmann
Conclusion: This suggests that pre-existing annotations can be an inexpensive resource in clinics to ease ill-posed and repetitive tasks like cross-section extraction for surveillance of aortic dissections.
no code implementations • 1 Oct 2020 • Shohei Mori, Okan Erat, Wolfgang Broll, Hideo Saito, Dieter Schmalstieg, Denis Kalkofen
We use the RGB-D information in a cost function for both the color and the geometric appearance to derive a global optimization for simultaneous inpainting of color and depth.
no code implementations • 22 Jul 2019 • Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg, Hideo Saito
We present DetectFusion, an RGB-D SLAM system that runs in real-time and can robustly handle semantically known and unknown objects that can move dynamically in the scene.
no code implementations • 11 May 2018 • Jürgen Wallner, Kerstin Hochegger, Xiaojun Chen, Irene Mischak, Knut Reinbacher, Mauro Pau, Tomislav Zrnc, Katja Schwenzer-Zimmerer, Wolfgang Zemann, Dieter Schmalstieg, Jan Egger
Therefore, the aim of this trial was to assess the practical feasibility of an easy available, functional stable and licensed-free segmentation approach to be used in the clinical practice.
no code implementations • 12 Mar 2018 • Jan Egger, Xiaojun Chen, Lucas Bettac, Mark Hänle, Tilmann Gräter, Wolfram Zoller, Dieter Schmalstieg, Alexander Hann
Ultimately, the algorithm enables a fast and accurate segmentation of liver metastasis in clinical US images, which can support the manual outlining in daily practice.
no code implementations • 9 Oct 2017 • Alexander Hann, Lucas Bettac, Mark M. Haenle, Tilmann Graeter, Andreas W. Berger, Jens Dreyhaupt, Dieter Schmalstieg, Wolfram G. Zoller, Jan Egger
In this work, we present the application of an algorithm for the segmentation of liver metastases due to pancreatic cancer using a set of 105 different images of metastases.
no code implementations • 17 Aug 2017 • Jan Egger, Jürgen Wallner, Markus Gall, Xiaojun Chen, Katja Schwenzer-Zimmerer, Knut Reinbacher, Dieter Schmalstieg
In this contribution, a software system for computer-aided position planning of miniplates to treat facial bone defects is proposed.
no code implementations • 18 Apr 2017 • Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G. Zoller, Alexander Hann
In this contribution, we present the results of an interactive segmentation approach for liver metastases in US acquisitions.
no code implementations • 2 Mar 2016 • Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Xiaojun Chen, Wolfram G. Zoller, Dieter Schmalstieg, Alexander Hann
We present an interactive segmentation approach for liver tumors in US acquisitions.
no code implementations • 21 Oct 2015 • Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Alexander Hann, Xiaojun Chen, Tuomas Alhonnoro, Mika Pollari, Dieter Schmalstieg, Michael Moche
The visual feedback and interactivity make the proposed tool well suitable for the clinical workflow.
no code implementations • CVPR 2014 • Jonathan Ventura, Clemens Arth, Gerhard Reitmayr, Dieter Schmalstieg
We propose a novel solution to the generalized camera pose problem which includes the internal scale of the generalized camera as an unknown parameter.
no code implementations • CVPR 2014 • Michael Donoser, Dieter Schmalstieg
The prevalent approach to image-based localization is matching interest points detected in the query image to a sparse 3D point cloud representing the known world.
no code implementations • CVPR 2014 • Michael Donoser, Dieter Schmalstieg
The state-of-the-art in image segmentation builds hierarchical segmentation structures based on analyzing local feature cues in spectral settings.