Prof. Jinyi Qi Profile

Prof. Jinyi Qi

Professor at Univ of California Davis

SPIE Involvement:

Conference Program Committee | Author

Publications (22)

Proceedings Article | 2 April 2024 Paper

Predicting glioma IDH mutation using multiparametric MRI and fractal analysis

Brandon Qi, Jinyi Qi

Proceedings Volume 12930, 129301C (2024) https://doi.org/10.1117/12.3006661

KEYWORDS: Tumors, Magnetic resonance imaging, Fractal analysis, Radiomics, Genetics, Cancer, Brain

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Proceedings Article | 13 March 2024 Presentation

Mesoscopic FLIm for detection of residual cancer in transoral robotic surgery

Mohamed Hassan, Brent Weyers, Julien Bec, Jinyi Qi, Dorina Gui, Arnaud Bewley, Marianne Abouyared, Andrew Birkeland, Laura Marcu

Proceedings Volume PC12818, (2024) https://doi.org/10.1117/12.3003627

KEYWORDS: Cancer, Tumor growth modeling, Robotic surgery, Data modeling, Cancer detection, Tumors, Tissues, Surgery, Cross validation, Resection

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Proceedings Article | 7 April 2023 Presentation + Paper

Super-resolution reconstruction of γ-ray CT images for PET-enabled dual-energy CT imaging

Yansong Zhu, Benjamin Spencer, Zhaoheng Xie, Edwin Leung, Reimund Bayerlein, Negar Omidvari, Simon Cherry, Jinyi Qi, Ramsey Badawi, Guobao Wang

Proceedings Volume 12463, 124631F (2023) https://doi.org/10.1117/12.2654431

KEYWORDS: Image resolution, Positron emission tomography, X-ray computed tomography, Super resolution, Image restoration, X-rays, Computed tomography, X-ray imaging, Medical image reconstruction

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Proceedings Article | 17 March 2023 Presentation

Anatomy-specific classification models using FLIm for head & neck cancer surgical guidance

Mohamed Hassan, Brent Weyers, Julien Bec, Farzad Fereidouni, Jinyi Qi, Dorina Gui, Andrew Birkeland, Arnaud Bewley, Marianne Abouyared, D. Gregory Farwell, Laura Marcu

Proceedings Volume 12354, 123540D (2023) https://doi.org/10.1117/12.2651235

KEYWORDS: Tumor growth modeling, Neck, Head, Cancer, Tongue, Tissues, Surgery, Physiology, Oncology, Lymphatic system

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Proceedings Article | 4 April 2022 Poster + Paper

Sparse-view CT spatial resolution enhancement via a densely connected convolutional neural network with spatial guidance

Nimu Yuan, Jian Zhou, Jinyi Qi

Proceedings Volume 12031, 120312F (2022) https://doi.org/10.1117/12.2611818

KEYWORDS: Spatial resolution, Signal to noise ratio, X-ray computed tomography, Resolution enhancement technologies, Convolutional neural networks, Image quality, Temporal resolution, Computed tomography

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Proceedings Article | 28 May 2019 Paper

Motion correction of respiratory-gated PET image using deep learning based image registration framework

Tiantian Li, Mengxi Zhang, Wenyuan Qi, Evren Asma, Jinyi Qi

Proceedings Volume 11072, 110720Q (2019) https://doi.org/10.1117/12.2534851

KEYWORDS: Positron emission tomography, Image registration, Motion estimation, Image restoration, Neural networks, Monte Carlo methods, Image quality, Reconstruction algorithms, Image analysis, Data acquisition

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Proceedings Article | 28 May 2019 Paper

Generative adversarial networks based regularized image reconstruction for PET

Zhaoheng Xie, Reheman Baikejiang, Kuang Gong, Xuezhu Zhang, Jinyi Qi

Proceedings Volume 11072, 110720P (2019) https://doi.org/10.1117/12.2534842

KEYWORDS: Positron emission tomography, Image restoration, Denoising, Neural networks, Computed tomography, Image quality, Reconstruction algorithms

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Proceedings Article | 28 May 2019 Paper

Direct patlak reconstruction from dynamic PET using unsupervised deep learning

Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li

Proceedings Volume 11072, 110720R (2019) https://doi.org/10.1117/12.2534902

KEYWORDS: Data modeling, Neural networks, Convolution, Blood, Expectation maximization algorithms, Medical imaging, Positron emission tomography, Magnetic resonance imaging, Reconstruction algorithms

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Proceedings Article | 28 May 2019 Paper

Low-dose CT image denoising without high-dose reference images

Nimu Yuan, Jian Zhou, Jinyi Qi

Proceedings Volume 11072, 110721C (2019) https://doi.org/10.1117/12.2533654

KEYWORDS: Denoising, X-ray computed tomography, Computed tomography, Data modeling, Neural networks, Signal to noise ratio, Image denoising, Medical research

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Proceedings Article | 1 March 2019 Presentation + Paper

Low-dose CT count-domain denoising via convolutional neural network with filter loss

Nimu Yuan, Jian Zhou, Kuang Gong, Jinyi Qi

Proceedings Volume 10948, 109480R (2019) https://doi.org/10.1117/12.2513479

KEYWORDS: Denoising, X-ray computed tomography, Network architectures, Computed tomography, Convolutional neural networks, Distance measurement, Reconstruction algorithms

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Proceedings Article | 9 March 2017 Presentation + Paper

Nonlinear PET parametric image reconstruction with MRI information using kernel method

Kuang Gong, Guobao Wang, Kevin Chen, Ciprian Catana, Jinyi Qi

Proceedings Volume 10132, 101321G (2017) https://doi.org/10.1117/12.2254273

KEYWORDS: Machine learning, Positron emission tomography, Magnetic resonance imaging, Image restoration, Reconstruction algorithms, Functional imaging, Oncology, Neurology, Spatial resolution, Image quality, Tissues, Blood, Image filtering, Tumors, Signal to noise ratio

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Proceedings Article | 9 March 2017 Paper

Dynamic PET Image reconstruction for parametric imaging using the HYPR kernel method

Benjamin Spencer, Jinyi Qi, Ramsey Badawi, Guobao Wang

Proceedings Volume 10132, 101324W (2017) https://doi.org/10.1117/12.2254497

KEYWORDS: Machine learning, Image quality, Data modeling, CT reconstruction, Positron emission tomography, Reconstruction algorithms, Image denoising, Denoising

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SPIE Journal Paper | 8 December 2014

Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection

Li Yang, Andrea Ferrero, Rosalie Hagge, Ramsey Badawi, Jinyi Qi

JMI, Vol. 1, Issue 03, 035501, (December 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.035501

KEYWORDS: Signal to noise ratio, Image restoration, Monte Carlo methods, Reconstruction algorithms, 3D image processing, Positron emission tomography, Tumors, Computer simulations, Fourier transforms, Tomography

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Proceedings Article | 11 March 2014 Paper

Evaluation of penalty design in penalized maximum-likelihood image reconstruction for lesion detection

Li Yang, Andrea Ferrero, Rosalie Hagge, Ramsey Badawi, Jinyi Qi

Proceedings Volume 9037, 90370K (2014) https://doi.org/10.1117/12.2042918

KEYWORDS: Signal to noise ratio, Image restoration, 3D image processing, Positron emission tomography, Tumors, Computer simulations, Image quality, Monte Carlo methods, Tomography, 3D vision

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Proceedings Article | 4 March 2014 Paper

Bi-modal imaging of atherosclerotic plaques: Automated method for co-registration between fluorescence lifetime imaging and intravascular ultrasound data

Dimitris Gorpas, Hussain Fatakdawala, Julien Bec, Dinglong Ma, Diego Yankelevich, John Bishop, Jinyi Qi, Laura Marcu

Proceedings Volume 8926, 892638 (2014) https://doi.org/10.1117/12.2040311

KEYWORDS: Intravascular ultrasound, Image segmentation, Luminescence, Image processing, Data acquisition, Fluorescence lifetime imaging, Image restoration, Image registration, Image filtering, Arteries

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Proceedings Article | 17 March 2011 Paper

Fast iterative image reconstruction using sparse matrix factorization with GPU acceleration

Jian Zhou, Jinyi Qi

Proceedings Volume 7961, 79610K (2011) https://doi.org/10.1117/12.878799

KEYWORDS: Image restoration, Optical spheres, Matrices, Systems modeling, Computing systems, Sensors, Imaging systems, Error control coding, Projection systems, X-rays

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Proceedings Article | 13 March 2009 Paper

Direct reconstruction of PET receptor binding parametric images using a simplified reference tissue model

Guobao Wang, Jinyi Qi

Proceedings Volume 7258, 72580V (2009) https://doi.org/10.1117/12.813910

KEYWORDS: Positron emission tomography, Tissues, Reconstruction algorithms, Receptors, Blood, Data modeling, Thalamus, Image restoration, Plasma, Computer simulations

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Proceedings Article | 28 February 2007 Paper

High-resolution image reconstruction for PET using estimated detector response functions

Michel Tohme, Jinyi Qi

Proceedings Volume 6498, 649819 (2007) https://doi.org/10.1117/12.716739

KEYWORDS: Sensors, Positron emission tomography, Scanners, Monte Carlo methods, Systems modeling, Image restoration, Computing systems, Data acquisition, Reconstruction algorithms, Image quality

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Proceedings Article | 4 May 2004 Paper

Fast approach to evaluate MAP reconstruction for lesion detection and localization

Jinyi Qi, Ronald Huesman

Proceedings Volume 5372, (2004) https://doi.org/10.1117/12.535916

KEYWORDS: Monte Carlo methods, Reconstruction algorithms, Tolerancing, Computer simulations, Data modeling, Tomography, Positron emission tomography, Convolution, Expectation maximization algorithms, Analytical research

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Proceedings Article | 1 July 2003 Paper

Optimization of Bayesian emission tomographic reconstruction for region-of-interest quantitation

Jinyi Qi

Proceedings Volume 5016, (2003) https://doi.org/10.1117/12.479850

KEYWORDS: Expectation maximization algorithms, Reconstruction algorithms, Tomography, Positron emission tomography, Smoothing, Monte Carlo methods, Fourier transforms, Single photon emission computed tomography, Image resolution, Solids

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Proceedings Article | 21 May 1999 Paper

Fast computation of the covariance of MAP reconstructions of PET images

Jinyi Qi, Richard Leahy

Proceedings Volume 3661, (1999) https://doi.org/10.1117/12.348589

KEYWORDS: Monte Carlo methods, Positron emission tomography, Brain, Brain mapping, Fourier transforms, Tin, Statistical analysis, Data modeling, Expectation maximization algorithms, Signal attenuation

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Proceedings Article | 24 June 1998 Paper

Study of lesion contrast recovery for statistical PET image reconstruction with accurate system models

Ching-Han Hsu, Jinyi Qi

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310922

KEYWORDS: Error control coding, Systems modeling, Sensors, Expectation maximization algorithms, Positron emission tomography, Reconstruction algorithms, Data modeling, Image restoration, Statistical modeling, Signal attenuation

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Showing 5 of 22 publications

Conference Committee Involvement (18)

Physics of Medical Imaging

17 February 2025 | San Diego, California, United States

Physics of Medical Imaging

19 February 2024 | San Diego, California, United States

Physics of Medical Imaging

20 February 2023 | San Diego, California, United States

Physics of Medical Imaging

20 February 2022 | San Diego, California, United States

Physics of Medical Imaging

15 February 2021 | Online Only, California, United States

Physics of Medical Imaging

16 February 2020 | Houston, Texas, United States

Physics of Medical Imaging

17 February 2019 | San Diego, California, United States

Physics of Medical Imaging

12 February 2018 | Houston, Texas, United States

Physics of Medical Imaging

13 February 2017 | Orlando, Florida, United States

Physics of Medical Imaging Posters

13 February 2017 | Orlando, FL, United States

Physics of Medical Imaging

28 February 2016 | San Diego, California, United States

Physics of Medical Imaging

22 February 2015 | Orlando, Florida, United States

Physics of Medical Imaging

17 February 2014 | San Diego, California, United States

Physics of Medical Imaging

11 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States

Physics of Medical Imaging

5 February 2012 | San Diego, California, United States

Physics of Medical Imaging

13 February 2011 | Lake Buena Vista (Orlando), Florida, United States

Physics of Medical Imaging

15 February 2010 | San Diego, California, United States

Physics of Medical Imaging

9 February 2009 | Lake Buena Vista (Orlando Area), Florida, United States

Showing 5 of 18 Conference Committees

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