Dr. Jianing Wang Profile

Dr. Jianing Wang

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Publications (9)

SPIE Journal Paper | 24 November 2021

Hybrid active shape and deep learning method for the accurate and robust segmentation of the intracochlear anatomy in clinical head CT and CBCT images

Yubo Fan, Dongqing Zhang, Rueben Banalagay, Jianing Wang, Jack Noble, Benoit Dawant

JMI, Vol. 8, Issue 06, 064002, (November 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.6.064002

KEYWORDS: Image segmentation, Computed tomography, Independent component analysis, Scanners, Autoregressive models, Data modeling, Optical inspection, Image quality, Computer programming, Electrodes

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Validation of a hybrid active shape and deep learning intracochlear anatomy segmentation method for image-guided cochlear implant programming

Yubo Fan, Jianing Wang, Rueben Banalagay, Jack Noble, Benoit Dawant

Proceedings Volume 11598, 1159824 (2021) https://doi.org/10.1117/12.2582148

KEYWORDS: Image segmentation, Computer programming, Electrodes, Independent component analysis, Visualization, Image processing

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Proceedings Article | 15 February 2021 Presentation + Paper

Metal artifact reduction, intra cochlear anatomy segmentation, and cochlear implant electrodes localization in CT images with a multi-task 3D network

Jianing Wang, Yiyuan Zhao, Jack Noble, Benoit Dawant

Proceedings Volume 11596, 115960U (2021) https://doi.org/10.1117/12.2580931

KEYWORDS: Image segmentation, Electrodes, Computed tomography, Independent component analysis, 3D image processing, Metals, Image resolution, Image processing, Computer programming

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Proceedings Article | 16 March 2020 Presentation + Paper

Validation of a metal artifact reduction method based on 3D conditional GANs for CT images of the ear

Jianing Wang, Srijata Chakravorti, Yiyuan Zhao, Jack Noble, Benoit Dawant

Proceedings Volume 11315, 1131507 (2020) https://doi.org/10.1117/12.2549398

KEYWORDS: Electrodes, Image segmentation, Computed tomography, Ear, 3D image processing

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Proceedings Article | 10 March 2020 Presentation + Paper

Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images

Yubo Fan, Dongqing Zhang, Jianing Wang, Jack Noble, Benoit Dawant

Proceedings Volume 11313, 113131D (2020) https://doi.org/10.1117/12.2549390

KEYWORDS: Image segmentation, Computed tomography, Head, Image processing, Image quality

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Proceedings Article | 15 March 2019 Presentation + Paper

Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data

Dongqing Zhang, Rueben Banalagay, Jianing Wang, Yiyuan Zhao, Jack Noble, Benoit Dawant

Proceedings Volume 10949, 1094907 (2019) https://doi.org/10.1117/12.2512529

KEYWORDS: Image segmentation, Computed tomography, 3D image processing, Head, Electrodes, Image processing algorithms and systems, Ear, Image processing

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Proceedings Article | 27 February 2018 Presentation + Paper

Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks

Jianing Wang, Fuyao Chen, Laura Dellalana, Madan Jagasia, Eric Tkaczyk, Benoit Dawant

Proceedings Volume 10575, 105750N (2018) https://doi.org/10.1117/12.2293334

KEYWORDS: Image segmentation, Skin, Photography, 3D image processing, 3D metrology, Image resolution, Medicine, Convolutional neural networks, Cameras, Visualization

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SPIE Journal Paper | 14 November 2017

Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initialization

Jianing Wang, Yuan Liu, Jack Noble, Benoit Dawant

JMI, Vol. 4, Issue 04, 044005, (November 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.4.044005

KEYWORDS: Image registration, Head, Magnetic resonance imaging, Brain, 3D image processing, Medical imaging, 3D modeling, Data modeling, Image segmentation, Neuroimaging

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Proceedings Article | 24 February 2017 Paper

Automatic selection of landmarks in T1-weighted head MRI with regression forests for image registration initialization

Jianing Wang, Yuan Liu, Jack Noble, Benoit Dawant

Proceedings Volume 10133, 101332M (2017) https://doi.org/10.1117/12.2254769

KEYWORDS: Neuroimaging, Image registration, Head, Magnetic resonance imaging, Medical imaging, 3D image processing, Machine learning, Image segmentation, Brain, 3D modeling, Data modeling

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Showing 5 of 9 publications

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