Dr. Mia K. Markey
Professor at Univ of Texas at Austin
SPIE Involvement:
Area of Expertise:
Biomedical informatics , Machine learning , Biomedical image processing , Clinical decision support , Medical decision-making , cancer
Profile Summary

Dr. Mia K. Markey is a Professor of Biomedical Engineering and Engineering Foundation Endowed Faculty Fellow in Engineering at The University of Texas at Austin as well as Adjunct Professor of Imaging Physics at The University of Texas MD Anderson Cancer Center. Dr. Markey is a 1994 graduate of the Illinois Mathematics and Science Academy and has a B.S. in computational biology (1998). Dr. Markey earned her Ph.D. in biomedical engineering (2002), along with a certificate in bioinformatics, from Duke University.

The mission of Dr. Markey’s Biomedical Informatics Lab is to develop decision support systems for clinical decision making and scientific discovery. She seeks opportunities to advance health-related quality of life and health equity. For example, Prof. Markey leads a collaborative, multi-institutional team that is designing a decision support system to enable breast cancer patients, in consultation with their healthcare providers, to choose a reconstruction strategy with maximal potential to optimize psychosocial adjustment.

Dr. Markey has been recognized for excellence in research and teaching with awards from organizations such as the American Medical Informatics Association, the American Society for Engineering Education, the American Cancer Society, and the Society for Women’s Health Research. She is a Fellow of both the American Association for the Advancement of Science (AAAS) and American Institute for Medical and Biological Engineering (AIMBE), and is a Senior Member of both the IEEE and the SPIE. Dr. Markey is the editor of Physics of Mammographic Imaging (Taylor and Francis, 2012), which gives an overview on the current role and future potential of new alternatives to mammography in the context of clinical need, complementary approaches, and ongoing research.
Publications (52)

Proceedings Article | 3 April 2024 Presentation
Haoqi Wang, Mia Markey, Nicolas Pannetier, Mehul Sampat
Proceedings Volume 12931, 129310G (2024) https://doi.org/10.1117/12.3009174
KEYWORDS: Image segmentation, Computed tomography, Liver, Kidney, Deep learning, Image processing algorithms and systems, Algorithm testing, Voxels, Reproducibility, Education and training

Proceedings Article | 13 March 2024 Presentation + Paper
Mengkun Chen, Matthew Fox, Jason Reichenberg, Fabiana C. P. Lopes, Katherine Sebastian, Mia Markey, James Tunnell
Proceedings Volume 12831, 1283105 (2024) https://doi.org/10.1117/12.3001974
KEYWORDS: Education and training, Adaptive optics, Reflectivity, Confocal microscopy, Skin, Aluminum, Tissues, Performance modeling, Image processing, Deep learning

SPIE Journal Paper | 20 April 2023
Haoqi Wang, Krista Nicklaus, Eloise Jewett, Eeshaan Rehani, Tzuan A. Chen, Jeff Engelmann, Mary Catherine Bordes, Deepti Chopra, Gregory P. Reece, Z-Hye Lee, Mia K. Markey
JMI, Vol. 10, Issue S1, S11908, (April 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.S1.S11908
KEYWORDS: Photography, Eye models, Cancer, Visualization, Performance modeling, Artificial neural networks, Head, Neck, Eye, Tumor growth modeling

SPIE Journal Paper | 30 June 2022 Open Access
Mengkun Chen, Xu Feng, Matthew Fox, Jason Reichenberg, Fabiana C. P. Lopes, Katherine Sebastian, Mia Markey, James Tunnell
JBO, Vol. 27, Issue 06, 065004, (June 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.6.065004
KEYWORDS: Raman spectroscopy, Remote sensing, Tumor growth modeling, Confocal microscopy, Reflectivity, RGB color model, Tissues, Data modeling, Performance modeling, Tumors

SPIE Journal Paper | 23 September 2021 Open Access
Andrew Stier, Will Goth, Aislinn Hurley, Treshayla Brown, Xu Feng, Yao Zhang, Fabiana C. P. Lopes, Katherine Sebastian, Pengyu Ren, Matthew Fox, Jason Reichenberg, Mia Markey, James Tunnell
JBO, Vol. 26, Issue 09, 096007, (September 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.9.096007
KEYWORDS: Optical properties, Tissue optics, Tissues, Skin, Data modeling, Spatial frequencies, Surgery, Monte Carlo methods, Optical imaging, Reflectivity

Showing 5 of 52 publications
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