Kenneth A. Iczkowski

According to our database, Kenneth A. Iczkowski authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Label-free evaluation of lung and heart transplant biopsies using virtual staining.

Yuzhu Li, Nir Pillar, Tairan Liu, Guangdong Ma, Yuxuan Qi, Kevin de Haan, Yijie Zhang, Xilin Yang, Adrian J. Correa, Guangqian Xiao, Kuang-Yu Jen, Kenneth A. Iczkowski, Yulun Wu, William Dean Wallace, Aydogan Ozcan

CoRR, 2024

2022

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

Michael Brehler, Allison K. Lowman, Samuel Bobholz, Savannah R. Duenweg, Fitzgerald Kyereme, Cassandra Naze, John Sherman, Kenneth A. Iczkowski, Peter S. LaViolette

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Prostate Cancer Histology Synthesis Using StyleGAN Latent Space Annotation.

Gagandeep B. Daroach, Savannah R. Duenweg, Michael Brehler, Allison K. Lowman, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Josiah A. Yoder, Peter S. LaViolette

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

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

Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

High-resolution Controllable Prostatic Histology Synthesis using StyleGAN.

Gagandeep B. Daroach, Josiah A. Yoder, Kenneth A. Iczkowski, Peter S. LaViolette

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2019

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence.

Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund

CoRR, 2019

Classification before Segmentation: Improved U-Net Prostate Segmentation.

Ronald J. Nowling, John Bukowy, Sean D. McGarry, Andrew S. Nencka, Oliver Blasko, Jay Urbain, Allison K. Lowman, Alexander Barrington, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts.

Guy Nir, Soheil Hor, Davood Karimi, Ladan Fazli, Brian F. Skinnider, Peyman Tavassoli, Dmitry Turbin, Carlos F. Villamil, Gang Wang, R. Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Peter C. Black, Purang Abolmaesumi, S. Larry Goldenberg, Septimiu E. Salcudean

Medical Image Anal., 2018

2017

Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations.

Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir M. Tahmasebi, Guy Nir, Jin Tae Kwak, Sheng Xu, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., 2017