Prof. Morgan Angus Darrow Profile

Prof. Morgan Angus Darrow

at UC Davis Health System

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 4 October 2024 Presentation

Classification of HER2 score in breast cancer images using deep learning and pyramid sampling

Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Musa Aydin, Aras Firat Unal, Aditya Gomatam, Zhen Guo, Morgan Darrow, Goren Kolodney, Karine Atlan, Tal Keidar Haran, Nir Pillar, Aydogan Ozcan

Proceedings Volume PC13118, PC131180E (2024) https://doi.org/10.1117/12.3027545

KEYWORDS: Image classification, Tissues, Breast cancer, Deep learning, Pathology, Systems modeling, Oncology, Cancer, Spatial learning, Pathogens

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Proceedings Article | 6 March 2023 Presentation

Virtual HER2 staining of label-free breast tissue using autofluorescence imaging and deep learning

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12368, PC123680J (2023) https://doi.org/10.1117/12.2648173

KEYWORDS: Tissues, Breast, Auto-fluorescence imaging, Transform theory, Receptors, Quantitative analysis, Microscopes, Luminescence, Diagnostics

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Proceedings Article | 4 October 2022 Presentation

Virtual immunohistochemical (IHC) staining of unlabeled tissue using deep learning (Conference Presentation)

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin De Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12204, PC122040O (2022) https://doi.org/10.1117/12.2632652

KEYWORDS: Tissues, Breast, Tumors, Transform theory, Receptors, Quantitative analysis, Neural networks, Diagnostics, Breast cancer

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Proceedings Article | 9 March 2020 Presentation

Augmented reality visualization for intraoperative guidance and tumor delineation based on fluorescence lifetime (Conference Presentation)

Tianchen Sun, Jakob Unger, Richard Bold, Morgan Darrow, Kwan-Liu Ma, Laura Marcu

Proceedings Volume 11229, 1122903 (2020) https://doi.org/10.1117/12.2547125

KEYWORDS: Visualization, Augmented reality, Tumors, Luminescence, Tissues, Surgery, Information visualization, Data acquisition, Real time imaging, Navigation systems

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Proceedings Article | 14 March 2018 Presentation

Real-time visualization of tumor margins in breast specimen using fluorescence lifetime (Conference Presentation)

Jakob Unger, Christoph Hebisch, Jennifer Phipps, Richard Bold, Morgan Darrow, Laura Marcu

Proceedings Volume 10472, 104720H (2018) https://doi.org/10.1117/12.2289619

KEYWORDS: Tumors, Luminescence, Cancer, Visualization, Breast cancer, Surgery, Breast, Machine learning, Video, Lead

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SPIE Journal Paper | 2 January 2018 Open Access

Method for accurate registration of tissue autofluorescence imaging data with corresponding histology: a means for enhanced tumor margin assessment

Jakob Unger, Tianchen Sun, Yi-Ling Chen, Jennifer Phipps, Richard Bold, Morgan Darrow, Kwan-Liu Ma, Laura Marcu

JBO, Vol. 23, Issue 01, 015001, (January 2018) https://doi.org/10.1117/12.10.1117/1.JBO.23.1.015001

KEYWORDS: Image registration, Tissues, Tissue optics, Auto-fluorescence imaging, Tumors, Luminescence, Diagnostics, Laser marking, Video, Image segmentation

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Proceedings Article | 19 April 2017 Presentation

Breast cancer margin delineation with fluorescence lifetime imaging (Conference Presentation)

Jennifer Phipps, Dimitris Gorpas, Morgan Darrow, Jakob Unger, Richard Bold, Laura Marcu

Proceedings Volume 10043, 100430C (2017) https://doi.org/10.1117/12.2253211

KEYWORDS: Tumors, Imaging systems, Tissues, Breast cancer, Fluorescence lifetime imaging, Cancer, Breast, Luminescence, Surgery, Collagen

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Showing 5 of 7 publications

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