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Zihang Hu - IEEE Xplore Author Profile

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Author details

Zihang Hu

Publications

4

Citations

2

Publications by Year

20192024

Co-Authors:

Wei DengYule FuQirui GengXingyu LiWei Liu

Show All Co-Authors (19)

Zihang Hu

Affiliation

Department of software

Henan Normal University

Xinxiang City, Henan, China

Publication Topics

Anomaly Detection,
Anomaly Detection Methods,
Decision Tree,
Generative Adversarial Networks,
Labeled Data,
One-dimensional Data,
Random Forest,
Support Vector Machine,
Training Set,
AC Component,
Ability Of The Model,
Ablation Experiments

Publications

4

Citations

2

Publications by Year

20192024

Co-Authors:

Wei Deng
Yule Fu
Qirui Geng
Xingyu Li
Wei Liu

Show All Co-Authors (19)

Author's Published Works

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Conferences (1)

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Abishek Balachandran(1)
Eva Eibenberger(1)
Nguyen P. Nguyen(1)
Jyotipriya Das(1)
Youngjin Yoo(1)
Vancouver General Hospital, Vancouver, BC, Canada(1)
Donald and Barbara Zucker School of Medicine, Northwell Health, New York, NY, USA(1)
University of Maryland Medical Center, Baltimore, MD, USA(1)
Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA(1)
Department of Radiology, New York University, New York, NY, USA(1)
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)(1)
IEEE(1)
Montreal, BC, Canada(1)
3D Computed Tomography(1)
3D Images(1)
3D Landmarks(1)
3D Prediction(1)
3D U-Net(1)

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Results

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans

Nguyen P. Nguyen;Youngjin Yoo;Andrei Chekkoury;Eva Eibenberger;Thomas J. Re;Jyotipriya Das;Abishek Balachandran;Yvonne W. Lui;Pina C. Sanelli;Thomas J. Schroeppel;Uttam Bodanapally;Savvas Nicolaou;Tommi A. White;Filiz Bunyak;Dorin Comaniciu;Eli Gibson

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Year: 2021 | Conference Paper |

Cited by: Papers (3)

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Brain midline shift (MLS), demonstrated by imaging, is a qualitative and quantitative radiological feature which measures the extent of lateral shift of brain midline structures in response to mass effect caused by hematomas, tumors, abscesses or any other space occupying intracranial lesions. It can be used, with other parameters, to determine the urgency of neurosurgical interventions and to pre...Show More

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans

Nguyen P. Nguyen;Youngjin Yoo;Andrei Chekkoury;Eva Eibenberger;Thomas J. Re;Jyotipriya Das;Abishek Balachandran;Yvonne W. Lui;Pina C. Sanelli;Thomas J. Schroeppel;Uttam Bodanapally;Savvas Nicolaou;Tommi A. White;Filiz Bunyak;Dorin Comaniciu;Eli Gibson

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Year: 2021 | Conference Paper |

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