Dr. Kar-Ming Fung Profile

Dr. Kar-Ming Fung

at Univ of Oklahoma Health Sciences Ctr

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Author

Publications (15)

Proceedings Article | 3 April 2024 Presentation + Paper

Deep learning-based ROI detection of AEH and EC on histopathology WSIs for predicting hormonal treatment response

Seyed Kahaki, Ian Hagemann, Kenny Cha, Christopher Trindade, Nicholas Petrick, Nicolas Kostelecky, Lindsay Borden, Doaa Atwi, Kar-Ming Fung, Weijie Chen

Proceedings Volume 12933, 129330S (2024) https://doi.org/10.1117/12.3008276

KEYWORDS: Deep learning, Performance modeling, Machine learning, Pathology, Data modeling, Cancer, Therapeutics, Oncology, Medicine

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Proceedings Article | 13 March 2024 Poster

Epidural needle guidance using a forward-view polarization-sensitive optical coherence tomography probe

Chen Wang, Yunlong Liu, Paul Calle, Qinghao Zhang, Feng Yan, Ebenezer Raj Selvaraj Mercyshalinie, Kar-Ming Fung, Sixia Chen, Chongle Pan, Qinggong Tang

Proceedings Volume PC12830, PC1283015 (2024) https://doi.org/10.1117/12.3005243

KEYWORDS: Optical coherence tomography, Nervous system, Tissues, Spinal cord, Deep learning, Structural imaging, Spine, Polarization, Endoscopes, Data modeling

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Proceedings Article | 13 March 2024 Presentation

Pre-transplantation assessment of human lungs using polarization-sensitive optical coherence tomography

Feng Yan, Ebenezer Raj Selvarai Mercyshalinie, Qinghao Zhang, Chen Wang, Zhongxin Yu, Kar-Ming Fung, Qinggong Tang

Proceedings Volume PC12830, PC128301U (2024) https://doi.org/10.1117/12.3001984

KEYWORDS: Lung, Optical coherence tomography, Tissues, Transplantation, Pulmonary disorders, Polarization density, Polarization, Optical imaging, Displays, Biopsy

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Proceedings Article | 13 March 2024 Presentation

Evaluation of human kidney for transplantation using polarization-sensitive optical coherence tomography

Feng Yan, Chen Wang, Bornface Mutembei, Zaid Alhajeri, Qinghao Zhang, Ebenezer Raj Selvarai Mercyshalinie, Zhongxin Yu, Yu Chen, Kar-Ming Fung, Qinggong Tang

Proceedings Volume PC12834, PC1283404 (2024) https://doi.org/10.1117/12.3001968

KEYWORDS: Kidney, Transplantation, Optical coherence tomography, Tissues, Perfusion imaging, Natural surfaces, Imaging systems, Two photon excitation microscopy, Optical surfaces, Collagen

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Proceedings Article | 13 March 2024 Presentation

Feasibility of using polarization-sensitive optical coherence tomography endoscope in kidney tumor biopsy guidance

Chen Wang, Haoyang Cui, Qinghao Zhang, Paul Calle, Feng Yan, Ebenezer Raj Selvaraj Mercyshalinie, Kar-Ming Fung, Ajay Jain, Chongle Pan, Qinggong Tang

Proceedings Volume 12817, 128170C (2024) https://doi.org/10.1117/12.3001367

KEYWORDS: Tumors, Tissues, Optical coherence tomography, Kidney, Biopsy, Endoscopes, Endoscopy, Blood vessels, Biological imaging, Surgery

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Proceedings Article | 12 March 2024 Paper

Evaluating the imaging quality of multiplexed illumination Fourier ptychography microscopy

Patrik Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Xuxin Chen, Kar-Ming Fung, Hong Liu, Yuchen Qiu

Proceedings Volume 12843, 1284306 (2024) https://doi.org/10.1117/12.3001674

KEYWORDS: Light emitting diodes, Multiplexing, Image quality, Image processing, Medical image reconstruction

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SPIE Journal Paper | 15 February 2024

End-to-end deep learning method for predicting hormonal treatment response in women with atypical endometrial hyperplasia or endometrial cancer

Seyed Mostafa M. Kahaki, Ian Hagemann, Kenny Cha, Christopher Trindade, Nicholas Petrick, Nicolas Kostelecky, Lindsay Borden, Doaa Atwi, Kar-Ming Fung, Weijie Chen

JMI, Vol. 11, Issue 01, 017502, (February 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.1.017502

KEYWORDS: Education and training, Deep learning, Data modeling, Performance modeling, Feature extraction, Machine learning, Radiomics, RGB color model, Tumor growth modeling, Statistical modeling

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Proceedings Article | 17 March 2023 Presentation

Percutaneous nephrostomy guidance by a polarization-sensitive optical coherence tomography probe

Chen Wang, Yunlong Liu, Paul Calle, Feng Yan, Nathan Bradley, Kar-Ming Fung, Sanjay Patel, Zhongxin Yu, Chongle Pan, Qinggong Tang

Proceedings Volume PC12353, PC1235308 (2023) https://doi.org/10.1117/12.2650429

KEYWORDS: Optical coherence tomography, Tissues, Kidney, Computed tomography, Ultrasonography, Tissue optics, Spatial resolution, Renal calculi, Image resolution, Endoscopy

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Proceedings Article | 14 March 2023 Presentation + Paper

Evaluating the depth of field for Fourier ptychography microscopy

Ke Zhang, Patrik Gilley, Neman Abdoli, Kar-Ming Fung, Yuchen Qiu

Proceedings Volume 12380, 123800C (2023) https://doi.org/10.1117/12.2655152

KEYWORDS: Depth of field, Modulation transfer functions, Microscopy

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Proceedings Article | 6 March 2023 Presentation

Feasibility of using polarization-sensitive optical coherence tomography (PS-OCT) in epidural anesthesia guidance

Chen Wang, Yunlong Liu, Paul Calle, Feng Yan, Alberto de Armendi, Shashank Shettar, Kar-Ming Fung, Chongle Pan, Qinggong Tang

Proceedings Volume PC12368, PC1236802 (2023) https://doi.org/10.1117/12.2650474

KEYWORDS: Optical coherence tomography, Tissues, Spinal cord, Tissue optics, Spine, Polarization, Endoscopy, Endoscopes, Convolutional neural networks

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Proceedings Article | 4 August 2022 Presentation

Endoscopic optical coherence tomography for epidural anesthesia guidance (Conference Presentation)

Chen Wang, Paul Calle, Justin Reynolds, Nu Bao Tran Ton, Feng Yan, Anthony Donaldson, Avery Ladymon, Pamela Roberts, Alberto De Armendi, Kar-Ming Fung, Shashank Shettar, Chongle Pan, Qinggong Tang

Proceedings Volume PC11949, PC119490I (2022) https://doi.org/10.1117/12.2609975

KEYWORDS: Optical coherence tomography, Endoscopy, Tissues, Spinal cord, Surgery, Distance measurement, Visualization, System integration, Image resolution, GRIN lenses

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Proceedings Article | 2 March 2022 Paper

Improving the resolution of chromosome imaging by high numerical aperture Fourier ptychography microscopy

Ke Zhang, Patrik Gilley, Xianglan Lu, Xuxin Chen, Neman Abdoli, Roy Zhang, Kar-Ming Fung, Hong Liu, Bin Zheng, Shibo Li, Yuchen Qiu

Proceedings Volume 11961, 1196102 (2022) https://doi.org/10.1117/12.2610806

KEYWORDS: Microscopy

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Proceedings Article | 2 March 2022 Poster + Paper

Virtual adversarial training for semi-supervised breast mass classification

Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa Thai, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 11961, 1196106 (2022) https://doi.org/10.1117/12.2611851

KEYWORDS: Medical imaging, Mammography, Cancer

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SPIE Journal Paper | 31 January 2022 Open Access

Using Fourier ptychography microscopy to achieve high-resolution chromosome imaging: an initial evaluation

Ke Zhang, Xianglan Lu, Xuxin Chen, Roy Zhang, Kar-Ming Fung, Hong Liu, Bin Zheng, Shibo Li, Yuchen Qiu

JBO, Vol. 27, Issue 01, 016504, (January 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.1.016504

KEYWORDS: Objectives, Modulation transfer functions, Microscopes, Microscopy, Lenses, Imaging systems, Leukemia, Blood, Spectral resolution, Statistical analysis

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Significance: Searching analyzable metaphase chromosomes is a critical step for the diagnosis and treatment of leukemia patients, and the searching efficiency is limited by the difficulty that the conventional microscopic systems have in simultaneously achieving high resolution and a large field of view (FOV). However, this challenge can be addressed by Fourier ptychography microscopy (FPM) technology. Aim: The purpose of this study is to investigate the feasibility of utilizing FPM to reconstruct high-resolution chromosome images. Approach: An experimental FPM prototype, which was equipped with 4 × / 0.1 NA or 10 × / 0.25 NA objective lenses to achieve a theoretical equivalent NA of 0.48 and 0.63, respectively, was developed. Under these configurations, we first generated the system modulation transfer function (MTF) curves to assess the resolving power. Next, a group of analyzable metaphase chromosomes were imaged by the FPM system, which were acquired from the peripheral blood samples of the leukemia patients. The chromosome feature qualities were evaluated and compared with the results accomplished by the corresponding conventional microscopes. Results: The MTF curve results indicate that the resolving power of the 4 × / 0.1 NA FPM system is equivalent and comparable to the 20 × / 0.4 NA conventional microscope, whereas the performance of the 10 × / 0.25 NA FPM system is close to the 60 × / 0.95 NA conventional microscope. When imaging the chromosomes, the feature qualities of the 4 × / 0.1 NA FPM system are comparable to the results under the conventional 20 × / 0.4 NA lens, whereas the feature qualities of the 10 × / 0.25 NA FPM system are better than the conventional 60 × / 0.95 NA lens and comparable to the conventional 100 × / 1.25 NA lens. Conclusions: This study initially verified that it is feasible to utilize FPM to develop a high-resolution and wide-field chromosome sample scanner.

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Proceedings Article | 3 March 2020 Paper

Utilizing a transfer model to classify epithelium and stroma on digital histopathological images for ovarian cancer patients

Xuxin Chen, Roy Zhang, Kar-Ming Fung, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 11241, 112410F (2020) https://doi.org/10.1117/12.2547512

KEYWORDS: Tissues, Tumor growth modeling, Breast cancer, Image classification, Performance modeling, Tumors, Cancer

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