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检索条件"机构=Institute of Engineering and Computer Graphics"
394 条 记 录,以下是351-360 订阅
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Framework for integrating project-based learning, experience and practice in professional graduate education for engineering leaders in industry leading to the professional engineering doctorate and fellow levels
Framework for integrating project-based learning, experience...
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2005 ASEE Annual Conference and Exposition: The Changing Landscape of engineering and Technology Education in a Global World
作者: Keating, Donald A. Stanford, Thomas G. Dunlap, Duane D. McHenry, Albert L. Deloatch, Eugene M. Lee, Peter Y. Depew, Dennis R. Bertoline, Gary R. Dyrenfurth, Michael J. Tricamo, Stephen J. Palmer, Harvey J. Davis, Isadore T. Morrison, Ray E. Tidwell, Joseph P. Gonzalez-Landis, Kathleen O'Brien, Joe Snellenberger, Jay M. Quick, David H. Olson, Roger N. Coulson, Lynda M. University of South Carolina United States Western Carolina University United States Arizona State University East United States Morgan State University United States California Polytechnic State University United States Purdue University United States New Jersey Institute of Technology United States Rochester Institute of Technology United States Raytheon Missile Systems United States Lockheed-Martin Company United States Boeing Company United States Engineering Partnership-Arizona United States Hewlett-Packard United States Rolls-Royce Corporation United States ASEE-Graduate Studies Division United States Department of Chemical Engineering University of South Carolina United States Department of Engineering and Technology Western Carolina University United States College of Technology Andapplied Sciences Arizona State University East United States School of Engineering Morgan State University United States College of Engineering California State Polytechnic University United States College of Technology Purdue University United States Discovery Resources Envision Center Department of Computer Graphics College of Technology Purdue University United States Department of Industrial and Manufacturing Engineering Kate Gleason College of Engineering Rochester Institute of Technology United States Engineering University Relations Raytheon Missile Systems Tucson AZ United States ASEE Corporate Members Council Lockheed Martin Aero Technical Institute and Engineering Workforce Development Lockheed Martin Aeronautics Company Fort Worth TX United States ASEE-Continuing Professional Development Division Southwest Regional University United States Engineering and Technical Education Boeing Company Meza AZ United States Hewlett-Packard Company Palo Alto CA United States Rolls-Royce Corporation Indianapolis IN United States R and D Customer Requirements Allison Advanced Development Company Rolls-Royce Corporation Indianapolis IN United States Lockheed Martin Aero Technica
This is the third of four papers prepared for a special panel session of the National Collaborative Task Force on engineering Graduate Education Reform. The paper formulates a very creative approach and framework for ... 详细信息
来源: 评论
CG-SENSE revisited: Results from the first ISMRM reproducibility challenge
arXiv
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arXiv 2020年
作者: Maier, Oliver Baete, Steven H. Fyrdahl, Alexander Hammernik, Kerstin Harrevelt, Seb Kasper, Lars Karakuzu, Agah Loecher, Michael Patzig, Franz Tian, Ye Wang, Ke Gallichan, Daniel Uecker, Martin Knoll, Florian Institute of Medical Engineering Graz University of Technology Graz Austria Center for Biomedical Imaging New York University School of Medicine New YorkNY United States Department of Clinical Physiology Karolinska University Hospital Karolinska Institutet Stockholm Sweden Department of Computing Imperial College London London United Kingdom Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands Institute for Biomedical Engineering ETH Zurich University of Zurich Zurich Switzerland Translational Neuromodeling Unit Institute for Biomedical Engineering University of Zurich ETH Zurich Zurich Switzerland NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montréal Montréal Canada Department of Radiology Stanford University StanfordCA United States Department of Radiology and Imaging Sciences University of Utah Salt Lake CityUT United States Ming Hsieh Department of Electrical and Computer Engineering Viterbi School of Engineering University of Southern California Los AngelesCA United States Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA United States Cardiff University Brain Research Imaging Centre Cardiff United Kingdom Institute for Diagnostic and Interventional Radiology University Medical Center Göttingen Göttingen Germany Germany University of Göttingen Germany University of Göttingen Germany
Purpose The aim of this work is to shed light on the issue of reproducibility in MR image reconstruction in the context of a challenge. Participants had to recreate the results of "Advances in sensitivity encodin... 详细信息
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3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection
arXiv
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arXiv 2017年
作者: Häne, Christian Heng, Lionel Lee, Gim Hee Fraundorfer, Friedrich Furgale, Paul Sattler, Torsten Pollefeys, Marc Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA94720 United States Department of Computer Science ETH Zürich Universitätstrasse 6 Zürich8092 Switzerland Information Division DSO National Laboratories 12 Science Park Drive Singapore118225 Singapore Department of Computer Science National University of Singapore 13 Computing Drive Singapore117417 Singapore Institute for Computer Graphics & Vision Graz University of Technology Inffeldgasse 16 GrazA-8010 Austria Department of Mechanical and Process Engineering ETH Zürich Leonhardstrasse 21 Zürich8092 Switzerland Microsoft One Microsoft Way RedmondWA98052 United States
Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and small, provide appearance information about the environment, and work in various weather conditions. They can be used for multi... 详细信息
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In-depth assessment of an interactive graph-based approach for the segmentation for pancreatic metastasis in ultrasound acquisitions of the liver with two specialists in internal medicine
arXiv
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arXiv 2018年
作者: Egger, Jan Schmalstieg, Dieter Bettac, Lucas Hänle, Mark Hann, Alexander Chen, Xiaojun Gräter, Tilmann Egger, Jan Zoller, Wolfram G. Hann, Alexander Institute for Computer Graphics Vision Graz University of Technology Graz Austria Dept. of Internal Medicine I Ulm University Ulm Germany School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Dept. of Diagnostic and Interventional Radiology Ulm University Ulm Germany BioTechMed-Graz Graz Austria Dept. of Internal Medicine and Gastroenterology Katharinenhospital Stuttgart Germany
The manual outlining of hepatic metastasis in (US) ultrasound acquisitions from patients suffering from pancreatic cancer is common practice. However, such pure manual measurements are often very time consuming, and t... 详细信息
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Interactive outlining of pancreatic cancer liver metastases in ultrasound images
arXiv
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arXiv 2017年
作者: Egger, Jan Schmalstieg, Dieter Chen, Xiaojun Zoller, Wolfram G. Hann, Alexander Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 Graz8010 Austria BioTechMed Krenngasse 37/1 Graz8010 Austria Shanghai Jiao Tong University School of Mechanical Engineering 800 Dong Chuan Road Shanghai200240 China Department of Internal Medicine and Gastroenterology Katharinenhospital Stuttgart Germany Department of Internal Medicine I Ulm University Ulm Germany
Ultrasound (US) is the most commonly used liver imaging modality worldwide. Due to its low cost, it is increasingly used in the follow-up of cancer patients with metastases localized in the liver. In this contribution... 详细信息
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Navigating the Artificial Intelligence Revolution in NeuroOncology: A Multidisciplinary Viewpoint
SSRN
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SSRN 2024年
作者: Saxena, Sanjay Panda, Soumyaranjan Tiwari, Ekta Singh, Rajesh Fouda, Mostafa M. Kalra, Mannudeep K. Kotecha, Ketan Saba, Luca Suri, Jasjit S. Department of Computer Science & Engineering International Institute of Information Technology Odisha Bhubaneswar India Department of Computer Science & Information Technology Mahatma Gandhi Central University Bihar India Department of Computer & Engineering Visvesvaraya National Institute of Technology Maharashtra Nagpur India Department of Research and Innovation Uttaranchal Institute of Technology Uttaranchal University Dehradun248007 India Department of Electrical and Computer Engineering Idaho State University PocatelloID83209 United States Department of Radiology Massachusetts General Hospital BostonMA United States Symbiosis centre for Applied Artificial Intelligence Symbiosis Institute of Technology Symbiosis International University Pune India Cagliari Italy Department of ECE Idaho State University PocatelloID83209 United States Department of CE Graphics Era Deemed to be University Dehradun248002 India University Center for Research & Development Chandigarh University Mohali India Pune India Stroke Diagnostic and Monitoring Division AtheroPoint RosevilleCA95661 United States Harvard Medical School United States University Hospital of Cagliari Italy
This comprehensive review presents the role of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in neuro-oncology, focussing their groundbreaking impact on the field. It gives a historical o... 详细信息
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An efficient and effective automatic image annotation using positive and negative example images
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ICIC Express Letters 2011年 第8 B期5卷 2927-2932页
作者: Song, Haiyu Li, Xiongfei Wang, Pengjie Bao, Cuizhu Dong, Yuying Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Jilin University No. 2699 Qianjin Avenue Changchun 130012 China Institute of Computer Graphics and Image Processing Dalian Nationalities University No. 18 Liaohe Road Eco. and Tech. Dev. Zone Dalian 116600 China College of Computer Science and Engineering Dalian Nationalities University No. 18 Liaohe Road Eco. and Tech. Dev. Zone Dalian 116600 China College of Life Science Dalian Nationalities University No. 18 Liaohe Road Eco. and Tech. Dev. Zone Dalian 116600 China
Automatic image annotation is an active topic and difficult task in computer vision domain, which has attracted more and more researchers' attention. Many approaches have been proposed to automatically annotate im... 详细信息
来源: 评论
Economic impact for integrating constructivism, project-based learning and practice into high quality professional graduate education for engineers in industry to enhance corporate advantage and U.S. competitiveness in the global economy
Economic impact for integrating constructivism, project-base...
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2005 ASEE Annual Conference and Exposition: The Changing Landscape of engineering and Technology Education in a Global World
作者: Snellenberger, J.M. Quick, D.H. Tidwell, J.P. O'Brien, J. Davis, T.I. McHenry, A.L. Bardo, J.W. Dunlap, D.D. Deloatch, E.M. Lee, P.Y. Palmer, H.J. Tricamo, S.J. Depew, D.R. Bertoline, G.R. Dyrenfurth, M.J. Keating, D.A. Stanford, T.G. Rolls-Royce Corporation United States Boeing Company United States Hewlett-Packard United States Raytheon Missile Systems United States Arizona State University East United States Western Carolina University United States Morgan State University United States California Polytechnic State University United States Rochester Institute of Technology United States New Jersey Institute of Technology United States Purdue University United States Rolls-Royce Corporation Indianapolis IN United States ASEE Corporate Members Council United States Allison Advanced Development Company Rolls-Royce Corporation Indianapolis IN United States Boeing Company Meza AN United States Hewlett-Packard Company Palo Alto CA United States Raytheon Missile Systems Tucson AZ United States College of Technology and Applied Sciences Arizona State University East United States Department of Engineering and Technology Western Carolina University United States ASEE Graduate Studies Division School of Engineering Morgan State University United States ASEE College of Engineering California State Polytechnic University United States Kate Gleason College of Engineering Rochester Institute of Technology United States Department of Industrial and Manufacturing Engineering College of Technology Purdue University United States Discovery Resources Envision Center Department of Computer Graphics College of Technology Purdue University United States Department of Graduate Studies College of Technology Purdue University United States Department of Mechanical Engineering University of South Carolina United States Department of Chemical Engineering University of South Carolina United States
This is the fourth of four papers prepared for a special panel session of the National Collaborative Task Force on engineering Graduate Education Reform focusing on new educational approaches and processes that better... 详细信息
来源: 评论
Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods
arXiv
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arXiv 2023年
作者: Foszner, Pawel Szczęsna, Agnieszka Ciampi, Luca Messina, Nicola Cygan, Adam Bizon, Bartosz Cogiel, Michal Golba, Dominik Macioszek, Elżbieta Staniszewski, Michal Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Institute of Information Science and Technologies National Research Council Pisa Italy QSystems.pro sp. z o.o. Mochnackiego 34 Bytom41-907 Poland Blees sp. z o.o. Zygmunta Starego 24a/10 Gliwice44-100 Poland Department of Transport Systems Traffic Engineering and Logistics Faculty of Transport and Aviation Engineering Silesian University of Technology Katowice Poland
Generally, crowd datasets can be collected or generated from real or synthetic sources. Real data is generated by using infrastructure-based sensors (such as static cameras or other sensors). The use of simulation too... 详细信息
来源: 评论
CrowdSim2: an Open Synthetic Benchmark for Object Detectors
arXiv
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arXiv 2023年
作者: Foszner, Pawel Szczęsna, Agnieszka Ciampi, Luca Messina, Nicola Cygan, Adam Bizon, Bartosz Cogiel, Michal Golba, Dominik Macioszek, Elżbieta Staniszewski, Michal Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Institute of Information Science and Technologies National Research Council Pisa Italy QSystems.pro sp. z o.o. Mochnackiego 34 Bytom41-907 Poland Blees sp. z o.o. Zygmunta Starego 24a/10 Gliwice44-100 Poland Department of Transport Systems Traffic Engineering and Logistics Faculty of Transport and Aviation Engineering Silesian University of Technology Katowice Poland
Data scarcity has become one of the main obstacles to developing supervised models based on Artificial Intelligence in computer Vision. Indeed, Deep Learning-based models systematically struggle when applied in new sc... 详细信息
来源: 评论