Samuel A. Bobholz
at Medical College of Wisconsin
SPIE Involvement:
Author
Publications (5)

Proceedings Article | 4 April 2022 Poster
Proceedings Volume 12039, 120391L (2022) https://doi.org/10.1117/12.2610793
KEYWORDS: Prostate cancer, Statistical analysis, Prostate, Pathology, Neural networks, Machine learning, Computer aided diagnosis and therapy, Cancer

Proceedings Article | 15 February 2021 Presentation + Paper
M. Brehler, A. K. Lowman, S. Bobholz, S. D. McGarry, J. Connelly, E. Cochran, P. S. LaViolette
Proceedings Volume 11603, 116030B (2021) https://doi.org/10.1117/12.2580725
KEYWORDS: Brain, Tumors, Tissues, Positron emission tomography, Alzheimer's disease, Magnetic resonance imaging, Pathology, Image processing, Deconvolution

Proceedings Article | 15 February 2021 Presentation + Paper
M. Brehler, A. K. Lowman, S. Bobholz, S. D. McGarry, A. Banerjee, K. Iczkowski, P. S. LaViolette
Proceedings Volume 11603, 116030T (2021) https://doi.org/10.1117/12.2580059
KEYWORDS: Image registration, Prostate, Tissues, Statistical analysis, Multiplexing, Image processing, Prostate cancer, Data acquisition

SPIE Journal Paper | 13 October 2020
John Bukowy, Halle Foss, Sean McGarry, Allison Lowman, Sarah Hurrell, Kenneth Iczkowski, Anjishnu Banerjee, Samuel Bobholz, Alexander Barrington, Alex Dayton, Jackson Unteriner, Kenneth Jacobsohn, William See, Marja Nevalainen, Andrew Nencka, Tyler Ethridge, David Jarrard, Peter LaViolette
JMI, Vol. 7, Issue 05, 057501, (October 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.5.057501
KEYWORDS: Image segmentation, Prostate, Magnesium, Biopsy, Prostate cancer, Tissues, Education and training, Deep learning, Networks, Machine learning

SPIE Journal Paper | 9 September 2020 Open Access
Sean McGarry, John Bukowy, Kenneth Iczkowski, Allison Lowman, Michael Brehler, Samuel Bobholz, Andrew Nencka, Alex Barrington, Kenneth Jacobsohn, Jackson Unteriner, Petar Duvnjak, Michael Griffin, Mark Hohenwalter, Tucker Keuter, Wei Huang, Tatjana Antic, Gladell Paner, Watchareepohn Palangmonthip, Anjishnu Banerjee, Peter LaViolette
JMI, Vol. 7, Issue 05, 054501, (September 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.5.054501
KEYWORDS: Tumor growth modeling, Statistical modeling, Prostate cancer, Magnetic resonance imaging, Tissues, Pathology, Cancer, Biopsy, Performance modeling, Data modeling

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