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检索条件"机构=Center for Computer Graphics and Virtual Reality"
28 条 记 录,以下是1-10 订阅
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MultiAR: A Multi-User Augmented reality Platform for Biomedical Education
MultiAR: A Multi-User Augmented Reality Platform for Biomedi...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: Markus Perz Gijs Luijten Jens Kleesiek Dieter Schmalstieg Jan Egger Christina Gsaxner Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Institute for Artificial Intelligence in Medicine University Medicine Essen Essen Germany Cancer Research Center Cologne Essen West German Cancer Center Essen Germany Institute for Visualization and Interactive Systems University of Stuttgart Stuttgart Germany Virtual and Extended Reality in Medicine (ZvRM) University Hospital Essen Essen Germany
This paper addresses the growing integration of Augmented reality (AR) in biomedical sciences, emphasizing collaborative learning experiences. We present MultiAR, a versatile, domain-specific platform enabling multi-u... 详细信息
来源: 评论
Generalisation of Segmentation Using Generative Adversarial Networks
Generalisation of Segmentation Using Generative Adversarial ...
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IEEE International Symposium on Biomedical Imaging
作者: André Ferreira Gijs Luijten Behrus Puladi Jens Kleesiek Victor Alves Jan Egger Institute for AI in Medicine (IKIM) University Hospital Essen (AöR) Essen Germany Center Algoritmi / LASI University of Minho Braga Portugal Computer Algorithms for Medicine Laboratory Graz Austria Institute of Medical Informatics University Hospital RWTH Aachen Aachen Germany Department of Oral and Maxillofacial Surgery University Hospital RWTH Aachen Aachen Germany Institute of Computer Graphics and Vision (ICG) Graz University of Technology Graz Austria Cancer Research Center Cologne Essen (CCCE) West German Cancer Center Essen (WTZ) University Hospital Essen (AöR) Essen Germany Partner Site Essen German Cancer Consortium (DKTK) Essen Germany Department of Physics TU Dortmund University Dortmund Germany Center for Virtual and Extended Reality in Medicine (ZvRM) University Hospital Essen Essen Germany
State-of-the-art deep learning algorithms are easily biased and evaluated in misleading scenarios, especially in the medical context, where scenarios change rapidly and diseases develop quickly. The BraTS 2024 GoAT ch... 详细信息
来源: 评论
Evaluation of algorithms for multi-modality whole heart segmentation: An open-access grand challenge
arXiv
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arXiv 2019年
作者: Zhuang, Xiahai Li, Lei Payer, Christian Štern, Darko Urschler, Martin Heinrich, Mattias P. Oster, Julien Wang, Chunliang Smedby, Örjan Bian, Cheng Yang, Xin Heng, Pheng-Ann Mortazi, Aliasghar Bagci, Ulas Yang, Guanyu Sun, Chenchen Galisot, Gaetan Ramel, Jean-Yves Brouard, Thierry Tong, Qianqian Si, Weixin Liao, Xiangyun Zeng, Guodong Shi, Zenglin Zheng, Guoyan Wang, Chengjia MacGillivray, Tom Newby, David Rhode, Kawal Ourselin, Sebastien Mohiaddin, Raad Keegan, Jennifer Firmin, David Yang, Guang School of Data Science Fudan University Shanghai200433 China Fudan-Xinzailing Joint Research Center for Big Data Fudan University Shanghai200433 China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai200240 China Institute of Computer Graphics and Vision Graz University of Technology Graz8010 Austria Ludwig Boltzmann Institute for Clinical Forensic Imaging Graz8010 Austria Institute of Medical Informatics University of Lubeck Lubeck23562 Germany Inserm Université de Lorraine U1254 IADI Nancy France School for Technology and Health KTH Royal Institute of Technology StockholmSE-10044 Sweden School of Biomed. Eng. Health Science Centre Shenzhen University Shenzhen518060 China Dept. of Comp. Sci. and Eng. Chinese University of Hong Kong Hong Kong China University of Central Florida Orlando32816 United States School of Computer Science and Engineering Southeast University Nanjing210096 China Université de Tours 64 avenue Jean Portalis Tours37200 France School of Computer Science Wuhan University Wuhan430072 China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology SIAT Shenzhen China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Institute for Surgical Technology & Biomechanics University of Bern Bern3014 Switzerland BHF Centre for Cardiovascular Science University of Edinburgh Edinburgh United Kingdom Edinburgh Imaging Facility QMRI University of Edinburgh Edinburgh United Kingdom Department of Imaging Sciences & Biomedical Engineering Kings College London London United Kingdom Cardiovascular Research Centre Royal Brompton Hospital LondonSW3 6NP United Kingdom National Heart and Lung Institute Imperial College London London LondonSW7 2AZ United Kingdom
Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable for modeling and analysis of the ana... 详细信息
来源: 评论
Adaptive camera-based color mapping for mixed-reality applications
Adaptive camera-based color mapping for mixed-reality applic...
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International Symposium on Mixed and Augmented reality (ISMAR)
作者: Martin Knecht Christoph Traxler Werner Purgathofer Michael Wimmer Institute of Computer Graphics and Algorithms University of Technology Vienna Austria VRVis Research Center for Virtual Reality and Visualization Austria
We present a novel adaptive color mapping method for virtual objects in mixed-reality environments. In several mixed-reality applications, added virtual objects should be visually indistinguishable from real objects. ... 详细信息
来源: 评论
System for inspection of large high-resolution radiography datasets
System for inspection of large high-resolution radiography d...
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IEEE Conference on Aerospace
作者: Tom Wypych So Yamaoka Kevin Ponto Falko Kuester San Diego Department of Computer Science and Engineering CalIT2 Center of Graphics Visualization and Virtual Reality (GRAVITY) University of California USA
High-resolution image collections pose unique challenges to analysts tasked with managing the associated data assets and deriving new information from them. While significant progress has been made towards rapid autom... 详细信息
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Advanced illumination techniques for GPU-based volume raycasting  09
Advanced illumination techniques for GPU-based volume raycas...
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ACM SIGGRAPH 2009 Courses, SIGGRAPH '09
作者: Hadwiger, Markus Ljung, Patric Salama, Christof Rezk Ropinski, Timo VRVis Research Center for Virtual Reality and Visualization Donau-City-Straße 1 A-1220 Vienna Austria Siemens Corporate Research Imaging and Visualization Department 755 College Road East Princeton NJ 08540 United States Computer Graphics Group University of Siegen Hölderlinstr. 3 57068 Siegen Germany Visualization and Computer Graphics Research Group University of Münster Einsteinstr. 62 48149 Münster Germany
Volume raycasting techniques are important for both visual arts and visualization. They allow efficient generation of visual effects and visualization of scientific data obtained by tomography or numerical simulation.... 详细信息
来源: 评论
Delocalized unsteady vortex region detectors
Delocalized unsteady vortex region detectors
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13th International Fall Workshop Vision, Modeling, and Visualization 2008, VMV 2008
作者: Fuchs, Raphael Peikert, Ronald Sadlo, Filip Alsallakh, Bilal Gröller, Meister Eduard Institute of Computer Graphics and Algorithms TU Vienna Austria VRVis Research Center for Virtual Reality and Visualization Vienna Austria Computer Graphics Laboratory ETH Zurich Switzerland
In this paper we discuss generalizations of instantaneous, local vortex criteria. We incorporate information on spatial context and temporal development into the detection process. The presented method is generic in s... 详细信息
来源: 评论
Advanced illumination for gpu volume
Advanced illumination for gpu volume
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ACM SIGGRAPH ASIA 2008 Courses, SIGGRAPH Asia'08
作者: Salama, Christof Rezk Ropinski, Timo Hadwiger, Markus Ljung, Patric Computer Graphics Group University of Siegen Hölderlinstr. 3 57068 Siegen Germany Visualization and Computer Graphics Research Group University of Münster Einsteinstr. 62 48149 Münster Germany VRVis Research Center for Virtual Reality and Visualization Donau-City-StraBe A-1220 Vienna Austria Siemens Corporate Research Imaging and Visualization Department 755 College Road East Princeton NJ 08540 United States
Volume raycasting techniques are important for both visual arts and. They allow an efficient generation of visual effects and visualization of scientific data obtained by tomography or numerical. Thanks to their flexi... 详细信息
来源: 评论
On-line boosting for car detection from aerial images
On-line boosting for car detection from aerial images
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2007 IEEE International Conference on Research, Innovation and Vision for the Future, RIVF 2007
作者: Nguyen, Thuy Thi Grabner, Helmut Bischof, Horst Gruber, Barbara Institute for Computer Graphics and Vision Graz University of Technology Austria VRVis Research Center for Virtual Reality and Visualization Graz Austria
In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient car detection from high resolution aerial i... 详细信息
来源: 评论
self-CD: Interactive self-collision detection for deformable body simulation using GPUs
self-CD: Interactive self-collision detection for deformable...
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Third Asian Simulation Conference, Asiasim 2004
作者: Choi, Yoo-Joo Kim, Young J. Kim, Myoung-Hee Department of Computer Science and Engineering Ewha Womans University Seoul Korea Republic of Center for Computer Graphics and Virtual Reality Ewha Womans Univesity Seoul Korea Republic of
This paper presents an efficient self-collision detection algorithm for deformable body simulation using programmable graphics processing units (GPUs). The proposed approach stores a triangular mesh representation of ... 详细信息
来源: 评论