Dr. Kenneth A. Iczkowski Profile

Dr. Kenneth A. Iczkowski

Assiciate Professor at Medical College of Wisconsin

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Publications (6)

Proceedings Article | 4 April 2022 Poster

An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning

Michael Brehler, Allison Lowman, Samuel Bobholz, Savannah Duenweg, Fitzgerald Kyereme, Cassandra Naze, John Sherman, Kenneth Iczkowski, Peter LaViolette

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

Co-registration tool for large format whole mount prostate multi-plex histology

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

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SPIE Journal Paper | 13 October 2020

Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural network

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

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SPIE Journal Paper | 9 September 2020 Open Access

Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer

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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SPIE Journal Paper | 27 October 2017 Open Access

Optimized b-value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using diffusion weighted imaging

Sarah Hurrell, Sean McGarry, Amy Kaczmarowski, Kenneth Iczkowski, Kenneth Jacobsohn, Mark Hohenwalter, William Hall, William See, Anjishnu Banerjee, David Charles, Marja Nevalainen, Alexander Mackinnon, Peter LaViolette

JMI, Vol. 5, Issue 01, 011004, (October 2017) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.011004

KEYWORDS: Tissues, Cancer, Prostate, Prostate cancer, Magnetic resonance imaging, Diffusion, Diffusion weighted imaging, Pathology, Oncology, Surgery

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Proceedings Article | 13 March 2017 Presentation + Paper

Tissue mimicking simulations for temporal enhanced ultrasound-based tissue typing

Sharareh Bayat, Farhad Imani, Carlos Gerardo, Guy Nir, Shekoofeh Azizi, Pingkun Yan, Amir Tahmasebi, Storey Wilson, Kenneth Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu Salcudean, Parvin Mousavi, Purang Abolmaesumi

Proceedings Volume 10139, 101390D (2017) https://doi.org/10.1117/12.2255540

KEYWORDS: Tissues, Ultrasonography, Finite element methods, In vivo imaging, Prostate, Breast cancer, Image segmentation, Prostate cancer, Physics, Computer simulations, Cancer, Pathology, Data acquisition

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Showing 5 of 6 publications

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