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Xiangyun Tang - IEEE Xplore Author Profile

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Author details

Xiangyun Tang

Publications

23

Citations

609

Publications by Year

20182025

Co-Authors:

Bo AiSiru ChenYanyu ChengRobert H. DengDongshang Deng

Show All Co-Authors (56)

Xiangyun Tang

Affiliation

School of Information Engineering and Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance

Minzu University of China

Beijing, China

Publication Topics

Federated Learning,
Global Model,
Communication Overhead,
MNIST Dataset,
Data Privacy,
Internet Of Things,
Local Dataset,
Local Training,
Privacy Protection,
Threat Model,
Unmanned Aerial Vehicles,
Central Server

Biography

Xiangyun Tang (xiangyunt@bit.edu.cn) received her B.Eng degree in computer science from Minzu University of China, Beijing, in 2016. Currently she is a Ph.D student in the School of Cyberspace security, Beijing Institute of Technology. Her research interests include secure multi-party computation and machine learning security.(Based on document published on 16 August 2022).

Publications

23

Citations

609

Publications by Year

20182025

Co-Authors:

Bo Ai
Siru Chen
Yanyu Cheng
Robert H. Deng
Dongshang Deng

Show All Co-Authors (56)

Author's Published Works

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Showing 1-11 of 11 results

Conferences (9)

Journals (2)

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Steve Pieper(5)
S. Pieper(4)
R. Kikinis(3)
Fan Zhang(2)
M. Halle(2)
Isomics, Inc.(2)
Surgical Planning Laboratory, Brigham and Women's Hospital, USA(2)
CEO of Isomics, Cambridge, MA, USA(1)
GE Corporate R and D(1)
Dept of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA(1)
18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)(1)
2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)(1)
2007 IEEE/NIH Life Science Systems and Applications Workshop(1)
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society(1)
2021 IEEE 14th Pacific Visualization Symposium (PacificVis)(1)
IEEE(11)
Arlington, VA, USA(2)
Boston, MA, USA(2)
Bethesda, MD, USA(1)
Dublin, Ireland(1)
Kolkata, India(1)
3D Slicer(5)
White Matter(3)
Biomedical Informatics Research Network(2)
Brain Injury(2)
Clinical Use(2)

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Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach

Hao He;Fan Zhang;Steve Pieper;Nikos Makris;Yogesh Rathi;William Wells;Lauren J. O’Donnell

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

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The human brain’s white matter (WM) structure is of immense interest to the scientific community. Diffusion MRI gives a powerful tool to describe the brain WM structure non-invasively. To potentially enable monitoring of age-related changes and investigation of sex-related brain structure differences on the mapping between the brain connectome and healthy subjects’ age and sex, we extract fiber-cl...Show More

Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach

Hao He;Fan Zhang;Steve Pieper;Nikos Makris;Yogesh Rathi;William Wells;Lauren J. O’Donnell

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

Year: 2022 | Conference Paper |

Incorporating Uncertainty Into Path Planning for Minimally Invasive Robotic Neurosurgery

Sarah Frisken;Jie Luo;Nazim Haouchine;Steve Pieper;Yixin Wang;William M. Wells;Alexandra J. Golby

IEEE Transactions on Medical Robotics and Bionics

Year: 2022 | Volume: 4, Issue: 1 | Journal Article |

Cited by: Papers (2)

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New robotics devices can provide minimally invasive access to deep lesions in the brain through small openings in the skull, which can reduce infection risk and improve recovery times when compared to larger craniotomies. Several groups have introduced semi and fully automatic path planning tools to optimize lesion access while avoiding damage to critical structures along the path. These tools uti...Show More

Incorporating Uncertainty Into Path Planning for Minimally Invasive Robotic Neurosurgery

Sarah Frisken;Jie Luo;Nazim Haouchine;Steve Pieper;Yixin Wang;William M. Wells;Alexandra J. Golby

IEEE Transactions on Medical Robotics and Bionics

Year: 2022 | Volume: 4, Issue: 1 | Journal Article |

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

Loraine Franke;Daniel Karl I. Weidele;Fan Zhang;Suheyla Cetin-Karayumak;Steve Pieper;Lauren J. O’Donnell;Yogesh Rathi;Daniel Haehn

2021 IEEE 14th Pacific Visualization Symposium (PacificVis)

Year: 2021 | Conference Paper |

Cited by: Papers (6)

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Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain’s structural connectivity analysis. Recent dMRI studies aim to compare connectivity patterns across subject groups and disease populations to understand subtle abnormalities in the brain’s white matter connectivity and distributions of biologically sensitive dMRI derived metrics. Existing software prod...Show More

FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

Loraine Franke;Daniel Karl I. Weidele;Fan Zhang;Suheyla Cetin-Karayumak;Steve Pieper;Lauren J. O’Donnell;Yogesh Rathi;Daniel Haehn

2021 IEEE 14th Pacific Visualization Symposium (PacificVis)

Year: 2021 | Conference Paper |

3D Slicer as a tool for interactive brain tumor segmentation

Ron Kikinis;Steve Pieper

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2011 | Conference Paper |

Cited by: Papers (41)

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User interaction is required for reliable segmentation of brain tumors in clinical practice and in clinical research. By incorporating current research tools, 3D Slicer provides a set of interactive, easy to use tools that can be efficiently used for this purpose. One of the modules of 3D Slicer is an interactive editor tool, which contains a variety of interactive segmentation effects. Use of the...Show More

3D Slicer as a tool for interactive brain tumor segmentation

Ron Kikinis;Steve Pieper

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2011 | Conference Paper |

Overview of the security architecture of the Comprehensive Maritime Awareness system

Myong H. Kang;Margery Li;Bruce Montrose;Amitabh Khashnobish;Scott Elliott;Mike Bell;Steven Pieper

MILCOM 2009 - 2009 IEEE Military Communications Conference

Year: 2009 | Conference Paper |

Cited by: Papers (3)

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The Comprehensive Maritime Awareness (CMA) system tries to identify anomalous behavior and potential threats associated with the global maritime domain that could impact the United States and coalition partners' security. It analyzes data from multiple sources that impose different data handling requirements, to discover potential threats. Security architecture and mechanisms are essential enabler...Show More

Overview of the security architecture of the Comprehensive Maritime Awareness system

Myong H. Kang;Margery Li;Bruce Montrose;Amitabh Khashnobish;Scott Elliott;Mike Bell;Steven Pieper

MILCOM 2009 - 2009 IEEE Military Communications Conference

Year: 2009 | Conference Paper |

A National Human Neuroimaging Collaboratory Enabled by the Biomedical Informatics Research Network (BIRN)

David B. Keator;J. S. Grethe;D. Marcus;B. Ozyurt;S. Gadde;Sean Murphy;S. Pieper;D. Greve;R. Notestine;H. J. Bockholt;P. Papadopoulos

IEEE Transactions on Information Technology in Biomedicine

Year: 2008 | Volume: 12, Issue: 2 | Journal Article |

Cited by: Papers (88)

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The aggregation of imaging, clinical, and behavioral data from multiple independent institutions and researchers presents both a great opportunity for biomedical research as well as a formidable challenge. Many research groups have well-established data collection and analysis procedures, as well as data and metadata format requirements that are particular to that group. Moreover, the types of dat...Show More

A National Human Neuroimaging Collaboratory Enabled by the Biomedical Informatics Research Network (BIRN)

David B. Keator;J. S. Grethe;D. Marcus;B. Ozyurt;S. Gadde;Sean Murphy;S. Pieper;D. Greve;R. Notestine;H. J. Bockholt;P. Papadopoulos

IEEE Transactions on Information Technology in Biomedicine

Year: 2008 | Volume: 12, Issue: 2 | Journal Article |

A System for Image Based Finite Element Modeling of Novel Defibrillation Strategies

John K. Triedman;Matthew Jolley;Robert MacLeod;Jeroen Stinstra;Dana Brooks;Steve Pieper

2007 IEEE/NIH Life Science Systems and Applications Workshop

Year: 2007 | Conference Paper |

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Recent development and dissemination of effective and highly automated devices for internal and external defibrillation have impacted the prognosis of sudden cardiac arrest. Evidence for the efficacy and safety and energy dosing of defibrillating devices is based largely on clinical experience in adults, but children and patients with congenital heart disease may have issues of body size and/or ca...Show More

A System for Image Based Finite Element Modeling of Novel Defibrillation Strategies

John K. Triedman;Matthew Jolley;Robert MacLeod;Jeroen Stinstra;Dana Brooks;Steve Pieper

2007 IEEE/NIH Life Science Systems and Applications Workshop

Year: 2007 | Conference Paper |

The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing community

S. Pieper;B. Lorensen;W. Schroeder;R. Kikinis

3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006.

Year: 2006 | Conference Paper |

Cited by: Papers (89) | Patents (4)

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Medical image computing researchers often face the problem of moving promising new algorithms from the proof of concept stage into a form compatible with clinical use. Algorithm developers lack the time and resources to engineer their code for robustness and compatibility, while end-users are anxious to try new techniques but require well designed and tested user interfaces to make practical use o...Show More

The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing community

S. Pieper;B. Lorensen;W. Schroeder;R. Kikinis

3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006.

Year: 2006 | Conference Paper |

Biomedical Informatics Research Network: integrating multi-site neuroimaging data acquisition, data sharing and brain morphometric processing

J. Jovicich;M.F. Beg;S. Pieper;C. Priebe;M.M. Miller;R. Buckner;B. Rosen

18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)

Year: 2005 | Conference Paper |

Cited by: Papers (4)

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The Biomedical Informatics Research Network (BIRN) is a National Institutes of Health (USA) initiative that fosters distributed collaborations in biomedical science by utilizing information technology innovations. Morphometry BIRN is one of its testbeds and has the goal to develop the ability to conduct clinical imaging studies across multiple sites, to analyze structural imaging data with the mos...Show More

Biomedical Informatics Research Network: integrating multi-site neuroimaging data acquisition, data sharing and brain morphometric processing

J. Jovicich;M.F. Beg;S. Pieper;C. Priebe;M.M. Miller;R. Buckner;B. Rosen

18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)

Year: 2005 | Conference Paper |

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)

HTML

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 |

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