Dr. Hongming Shan Profile

Dr. Hongming Shan

at Fudan Univ

SPIE Involvement:

Author

Publications (12)

Proceedings Article | 14 October 2022 Presentation + Paper

CoCoDiff: a contextual conditional diffusion model for low-dose CT image denoising

Qi Gao, Hongming Shan

Proceedings Volume 12242, 122420I (2022) https://doi.org/10.1117/12.2634939

KEYWORDS: Diffusion, Computed tomography, Denoising, Performance modeling, Image processing, Image denoising, Visual process modeling, Data modeling, Image quality, Process modeling

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SPIE Journal Paper | 14 February 2020

Deep adversarial network for super stimulated emission depletion imaging

Mengzhou Li, Hongming Shan, Sergey Pryshchep, Maria Lopez, Ge Wang

JNP, Vol. 14, Issue 01, 016009, (February 2020) https://doi.org/10.1117/12.10.1117/1.JNP.14.016009

KEYWORDS: Stimulated emission depletion microscopy, Image resolution, Point spread functions, Super resolution, Data modeling, Confocal microscopy, Deconvolution, Microscopes, Image enhancement, Microscopy

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Proceedings Article | 11 September 2019 Presentation + Paper

Quadratic neural networks for CT metal artifact reduction

Fenglei Fan, Ge Wang, Hongming Shan, Lars Gjesteby

Proceedings Volume 11113, 111130W (2019) https://doi.org/10.1117/12.2530363

KEYWORDS: Metals, Neurons, Neural networks, Computed tomography, Machine learning, Medical imaging, Network architectures

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Proceedings Article | 10 September 2019 Paper

Deep learning based CT thermometry for thermal tumor ablation

Nathan Wang, Hongming Shan, Mengzhou Li, Pingkun Yan

Proceedings Volume 11113, 111131T (2019) https://doi.org/10.1117/12.2530771

KEYWORDS: Thermometry, Computed tomography, Ultrasonography, Tissues, Neural networks, Ultrasonics, Robotics, Tomography, Surgery, Temperature metrology

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Proceedings Article | 10 September 2019 Presentation + Paper

Dual network architecture for few-view CT - trained on ImageNet data and transferred for medical imaging

Xiaohua Zhang, Shaohua Liu, Ruola Ning, Huidong Xie, Hongming Shan, Ge Wang, Wenxiang Cong

Proceedings Volume 11113, 111130V (2019) https://doi.org/10.1117/12.2531198

KEYWORDS: X-ray computed tomography, Network architectures, CT reconstruction, Image filtering, Medical imaging, X-rays, Optical filters, Associative arrays

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Proceedings Article | 10 September 2019 Presentation + Paper

Super-resolution MRI and CT through GAN-CIRCLE

Qing Lyu, Chenyu You, Hongming Shan, Yi Zhang, Ge Wang

Proceedings Volume 11113, 111130X (2019) https://doi.org/10.1117/12.2530592

KEYWORDS: Magnetic resonance imaging, Computed tomography, X-ray computed tomography, Super resolution, Image resolution, Neural networks, Scanners, Spatial resolution

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Proceedings Article | 10 September 2019 Paper

Deep-learning-based breast CT for radiation dose reduction

Hongming Shan, Wenxiang Cong, Ge Wang, Xiaohua Zhang, Shaohua Liu, Ruola Ning

Proceedings Volume 11113, 111131L (2019) https://doi.org/10.1117/12.2530234

KEYWORDS: Breast, Computed tomography, X-ray computed tomography, Image restoration, Neural networks, X-rays, Network architectures, Image quality, Data modeling, Convolution

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Proceedings Article | 10 September 2019 Paper

Low-dose CT simulation with a generative adversarial network

Hongming Shan, Uwe Kruger, Xun Jia, Klaus Mueller, Ge Wang

Proceedings Volume 11113, 111131F (2019) https://doi.org/10.1117/12.2529698

KEYWORDS: X-ray computed tomography, Computed tomography, Denoising, Gallium nitride, Computer programming, Data modeling, Computer simulations, Neural networks, Medical imaging, Germanium

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Proceedings Article | 9 September 2019 Paper

Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach

Hongming Shan, Yang Yang, Ge Wang, Christopher Wiedeman

Proceedings Volume 11105, 1110504 (2019) https://doi.org/10.1117/12.2529984

KEYWORDS: Tissue optics, Acquisition tracking and pointing, Reconstruction algorithms, Acoustics, Ultrasonography, Photoacoustic tomography, Feature extraction, 3D modeling, Thermography, Mathematical modeling

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Proceedings Article | 28 May 2019 Paper

Quadratic autoencoder for low-dose CT denoising

Ge Wang, Hongming Shan, Fenglei Fan

Proceedings Volume 11072, 110722Z (2019) https://doi.org/10.1117/12.2534908

KEYWORDS: Neurons, Denoising, Computed tomography, Surgery, Convolution, Machine learning, Feature extraction, Prototyping, Neodymium, Computer programming

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Proceedings Article | 28 May 2019 Paper

A novel transfer learning framework for low-dose CT

Hongming Shan, Uwe Kruger, Ge Wang

Proceedings Volume 11072, 110722Y (2019) https://doi.org/10.1117/12.2534848

KEYWORDS: Denoising, Computed tomography, Neural networks, Image processing, Machine learning, Medical image reconstruction

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Proceedings Article | 25 September 2017 Presentation + Paper

Deep learning methods for CT image-domain metal artifact reduction

Lars Gjesteby, Qingsong Yang, Yan Xi, Bernhard Claus, Yannan Jin, Bruno De Man, Ge Wang, Hongming Shan

Proceedings Volume 10391, 103910W (2017) https://doi.org/10.1117/12.2274427

KEYWORDS: Computed tomography, Image processing, Radiotherapy, Machine learning, Image quality, Reconstruction algorithms, Convolutional neural networks

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Showing 5 of 12 publications

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