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Pan Zhou

Also published under: pan zhou, P. Zhou

Publications

242

Citations

7,799

Publications by Year

20072025

Co-Authors:

Derek AbbottQingsong AiSaid F. Al-SarawiYang BaiYichong Bai

Show All Co-Authors (502)

Pan Zhou

Also published under: pan zhou, P. Zhou

Affiliation

School of Cyber Science and Engineering

Huazhong University of Science and Technology

Wuhan, China

Publication Topics

Mobile Edge Computing,
Federated Learning,
Edge Server,
Global Model,
Convolutional Neural Network,
Estimation Algorithm,
Base Station,
Computational Resources,
Deep Neural Network,
Time Slot,
Deep Reinforcement Learning,
Edge Computing

Biography

Pan Zhou (Senior Member, IEEE) received the B.S. degree in advanced class and the M.S. degree from the Department of Electronics and Information Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China, in 2006 and 2008, respectively, and the Ph.D. degree from the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA, in 2011. From 2011 to 2013, he was a Senior Technical Member with Oracle Inc., Austin, TX, USA, and worked on Hadoop and distributed storage system for Big Data analytics with Oracle Cloud Platform. He is currently a Full Professor and the Ph.D. Advisor with Hubei Engineering Research Center on Big Data Security, the School of Cyber Science and Engineering, HUST...

Publications

242

Citations

7,799

Publications by Year

20072025

Co-Authors:

Derek Abbott
Qingsong Ai
Said F. Al-Sarawi
Yang Bai
Yichong Bai

Show All Co-Authors (502)

Author's Published Works

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Showing 1-10 of 10 results

Conferences (8)

Journals (1)

Magazines (1)

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M. Halle(6)
R. Kikinis(4)
Michael Halle(4)
S.A. Benton(2)
Ron Kikinis(2)
Isomics, Inc.(1)
Harvard Medical School, Brigham and Women's Hospital, Harvard University, Boston, MA, USA(1)
Department of Computer Science & Technology, Tsinghua University, Beijing, China(1)
Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, USA(1)
Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA(1)
IEEE Visualization, 2003. VIS 2003.(2)
1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(1)
2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)(1)
2011 IEEE Fifth International Conference on Semantic Computing(1)
2019 IEEE Global Humanitarian Technology Conference (GHTC)(1)
IEEE(10)
Seattle, WA, USA(3)
Arlington, VA, USA(1)
Hong Kong, China(1)
Palo Alto, CA, USA(1)
Paris, France(1)
Medical Imaging(4)
3D Slicer(3)
Computer Graphics(3)
Magnetic Resonance Imaging(3)
3D Display(2)

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Affordable Custom Three-Dimensional Anatomy Atlases

Nayra Pumar-Carreras;Carlos Luque;Michael Halle;Babacar Diao;Cheikh Tidiane Diop;Juan Ruiz-Alzola

2019 IEEE Global Humanitarian Technology Conference (GHTC)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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In this paper, we present methodology and tools for creating custom three-dimensional anatomical atlases for medical education based on web technologies and open-source software. Traditional medical anatomy education has relied on printed anatomical atlases, in-person lectures, and anatomical dissection. This traditional approach underserves populations in need due to high cost, lack of availabili...Show More

Affordable Custom Three-Dimensional Anatomy Atlases

Nayra Pumar-Carreras;Carlos Luque;Michael Halle;Babacar Diao;Cheikh Tidiane Diop;Juan Ruiz-Alzola

2019 IEEE Global Humanitarian Technology Conference (GHTC)

Year: 2019 | Conference Paper |

Ontological Labels for Automated Location of Left Ventricular Remodeling

Shane Steinert-Threlkeld;Siamak Ardekani;Jose L.V. Mejino;Landon T. Detwiler;James F. Brinkley;Michael Halle;Ron Kikinis;Raimond L. Winslow;Michael I. Miller;J. Tilak Ratnanather

2011 IEEE Fifth International Conference on Semantic Computing

Year: 2011 | Conference Paper |

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In a previous study, Ardekani et. al. used the Large Deformation Diffeomorphic Metric Mapping (LDDMM) image registration algorithm to analyze the left ventricle of 25 human subjects at both end systole (ES) and end diastole (ED) phases of the cardiac cycle. Of these 25 subjects, 12 had nonischemic cardiomyopathy (NICM) and 13 had ischemic cardiomyopathy (ICM). An average template image at each of ...Show More

Ontological Labels for Automated Location of Left Ventricular Remodeling

Shane Steinert-Threlkeld;Siamak Ardekani;Jose L.V. Mejino;Landon T. Detwiler;James F. Brinkley;Michael Halle;Ron Kikinis;Raimond L. Winslow;Michael I. Miller;J. Tilak Ratnanather

2011 IEEE Fifth International Conference on Semantic Computing

Year: 2011 | Conference Paper |

3-D Displays and Signal Processing

Janusz Konrad;Michael Halle

IEEE Signal Processing Magazine

Year: 2007 | Volume: 24, Issue: 6 | Magazine Article |

Cited by: Papers (118) | Patents (4)

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In this article, main electronic 3-D display technologies from a signal processing perspective are overviewed. And the underlying physics, benefits, deficiencies of various displays are described. The general role of signal processing and provide specific examples of signal processing helping address certain display deficiencies are discussed. Challenges awaiting signal processing in quest of the ...Show More

3-D Displays and Signal Processing

Janusz Konrad;Michael Halle

IEEE Signal Processing Magazine

Year: 2007 | Volume: 24, Issue: 6 | Magazine Article |

3D Slicer

S. Pieper;M. Halle;R. Kikinis

2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)

Year: 2004 | Conference Paper |

Cited by: Papers (277) | Patents (2)

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To be applied to practical clinical research problems, medical image computing software requires infrastructure including routines to read and write various file formats, manipulate 2D and 3D coordinate systems, and present a consistent user interface paradigm and visualization metaphor. At the same time, research software needs to be flexible to facilitate implementation of new ideas. 3D Slicer i...Show More

3D Slicer

S. Pieper;M. Halle;R. Kikinis

2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)

Year: 2004 | Conference Paper |

Holographic video display of time-series volumetric medical data

W. Plesniak;M. Halle;S.D. Pieper;W. Wells;M. Jakab;D.S. Meier;S.A. Benton;R.G. Guttmann;R. Kikinis

IEEE Visualization, 2003. VIS 2003.

Year: 2003 | Conference Paper |

Cited by: Papers (1) | Patents (1)

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We describe an animated electro-holographic visualization of brain lesions due to the progression of multiple sclerosis. A research case study is used which documents the expression of visible brain lesions in a series of magnetic resonance imaging (MRI) volumes collected over the interval of one year. Some of the salient information resident within this data is described, and the motivation for u...Show More

Holographic video display of time-series volumetric medical data

W. Plesniak;M. Halle;S.D. Pieper;W. Wells;M. Jakab;D.S. Meier;S.A. Benton;R.G. Guttmann;R. Kikinis

IEEE Visualization, 2003. VIS 2003.

Year: 2003 | Conference Paper |

LightKit: a lighting system for effective visualization

M. Halle;J. Meng

IEEE Visualization, 2003. VIS 2003.

Year: 2003 | Conference Paper |

Cited by: Papers (18) | Patents (2)

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LightKit is a system for lighting three-dimensional synthetic scenes. LightKit simplifies the task of producing visually pleasing, easily interpretable images for visualization while making it harder to produce results where the scene illumination distracts from the visualization process. LightKit is based on lighting designs developed by artists and photographers and shown in previous studies to ...Show More

LightKit: a lighting system for effective visualization

M. Halle;J. Meng

IEEE Visualization, 2003. VIS 2003.

Year: 2003 | Conference Paper |

Physics-based subdivision surface modeling for medical imaging and simulation

Kaihuai Qin;Huawei Wang;Denggao Li;R. Kikinis;M. Halle

Proceedings International Workshop on Medical Imaging and Augmented Reality

Year: 2001 | Conference Paper |

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In this paper a physics-based dynamic subdivision surface model based on Catmull-Clark surfaces is introduced and a new technique for exact evaluation of the dynamic model parameters, such as mass, damping and stiffness matrices, and dynamic forces etc. is presented for the dynamic subdivision surface. A closed-form analytic formula for thin-plate energy of Catmull-Clark surfaces of arbitrary topo...Show More

Physics-based subdivision surface modeling for medical imaging and simulation

Kaihuai Qin;Huawei Wang;Denggao Li;R. Kikinis;M. Halle

Proceedings International Workshop on Medical Imaging and Augmented Reality

Year: 2001 | Conference Paper |

Conformal surface parameterization for texture mapping

S. Haker;S. Angenent;A. Tannenbaum;R. Kikinis;G. Sapiro;M. Halle

IEEE Transactions on Visualization and Computer Graphics

Year: 2000 | Volume: 6, Issue: 2 | Journal Article |

Cited by: Papers (210) | Patents (14)

We give an explicit method for mapping any simply connected surface onto the sphere in a manner which preserves angles. This technique relies on certain conformal mappings from differential geometry. Our method provides a new way to automatically assign texture coordinates to complex undulating surfaces. We demonstrate a finite element method that can be used to apply our mapping technique to a tr...Show More

Conformal surface parameterization for texture mapping

S. Haker;S. Angenent;A. Tannenbaum;R. Kikinis;G. Sapiro;M. Halle

IEEE Transactions on Visualization and Computer Graphics

Year: 2000 | Volume: 6, Issue: 2 | Journal Article |

Computer assisted planning of surgical procedures

Ron Kikinis;Harvey Cline;David Altobelli;Michael Halle;William Lorensen;Brahm Rhodes;Ferenc Jolesz

1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 1992 | Conference Paper |

A system for computer-assisted planning of surgical procedures has been developped. Its components are a workstation with hardware accelerated 3D rendering board, a software environment and a set of procedures. Data sets from over 41 patients have been analyzed so far. We found a potential for improving the surgeons understanding of the anatomical situation he was going to face and for reducing th...Show More