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Dr. Joseph Ross Mitchell
AI Officer
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Dr. Mitchell has B.Sc. and M.Sc. degrees in Computer Science and a Ph.D. in Medical Biophysics. He moved from Mayo Clinic Arizona in 2019 to become Moffitt Cancer Center’s inaugural Artificial Intelligence Officer. In this role he leads efforts to develop digital tools that utilize artificial intelligence and other advanced technologies to improve the efficiency and quality of cancer care. Dr. Mitchell is also a senior member of Moffitt’s Department of Machine Learning and will collaborate with fellow research faculty to optimize projects utilizing artificial intelligence applications. Dr. Mitchell has over 200 publications, including 20 patents. He is one of four Principal Investigators of a $3.6M grant from the U.S. National Cancer Institute, designed to unravel the connections between medical imaging, genomics and disease progression in brain cancer.
Publications (3)
SPIE Journal Paper | 16 October 2020 Open Access
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Joseph Ross Mitchell, Konstantinos Kamnitsas, Kyle Singleton, Scott Whitmire, Kamala Clark-Swanson, Sara Ranjbar, Cassandra Rickertsen, Sandra Johnston, Kathleen Egan, Dana Rollison, John Arrington, Karl Krecke, Theodore Passe, Jared Verdoorn, Alex Nagelschneider, Carrie Carr, John Port, Alice Patton, Norbert Campeau, Greta Liebo, Laurence Eckel, Christopher Wood, Christopher Hunt, Prasanna Vibhute, Kent Nelson, Joseph Hoxworth, Ameet Patel, Brian Chong, Jeffrey Ross, Jerrold Boxerman, Michael Vogelbaum, Leland Hu, Ben Glocker, Kristin Swanson
JMI, Vol. 7, Issue 05, 055501, (October 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.5.055501
KEYWORDS: Image segmentation, Tumors, Brain, Magnetic resonance imaging, Neural networks, Neuroimaging, Cancer, Databases, Data modeling, Visualization
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SPIE Journal Paper | 21 July 2015 Open Access
QuantitativeT2: interactive quantitative T2 MRI witnessed in mouse glioblastoma
Tonima Sumya Ali, Thorarin Albert Bjarnason, Donna Senger, Jeffrey Dunn, Jeffery Joseph, Joseph Ross Mitchell
JMI, Vol. 2, Issue 03, 036002, (July 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.3.036002
KEYWORDS: Brain, Tumors, Tissues, Magnetic resonance imaging, Brain mapping, Magnesium, Control systems, Neuroimaging, Pathology, Image segmentation
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SPIE Journal Paper | 21 May 2015
Texture analysis of images using a two-dimensional fast time-frequency transform
Chun Hing Cheng, Pyari Mohan Pradhan, Joseph Ross Mitchell
JMI, Vol. 2, Issue 02, 024504, (May 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.2.024504
KEYWORDS: Time-frequency analysis, Image analysis, Medical imaging, Error analysis, Image processing, Fourier transforms, Magnetic resonance imaging, Brain, Neuroimaging, Matrix multiplication
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