Okyaz Eminaga

According to our database, Okyaz Eminaga authored at least 12 papers between 2010 and 2023.

Collaborative distances:

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

2023

Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence.

Okyaz Eminaga, Timothy Jiyong Lee, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Jin Long, Lukas Graham Hockman, Joseph C. Liao

J. Biomed. Informatics, June, 2023

PlexusNet: A neural network architectural concept for medical image classification.

Okyaz Eminaga, Mahmoud Abbas, Jeanne Shen, Mark A. Laurie, James D. Brooks, Joseph C. Liao, Daniel L. Rubin

Comput. Biol. Medicine, March, 2023

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.

Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach, Ryan Han, James D. Brooks, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Robert B. West, Jin Long, Richard E. Fan, Olaf Bettendorf

CoRR, 2023

2022

An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.

Okyaz Eminaga, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Timothy J. Lee, Lukas Hockman, Xiao Jia, Lei Xing, Joseph C. Liao

J. Medical Syst., 2022

2020

Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer.

Okyaz Eminaga, Omran Al-Hamad, Martin Boegemann, Bernhard Breil, Axel Semjonow

Health Informatics J., 2020

2019

Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.

Okyaz Eminaga, Mahmoud Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann, Andreas M. Loening, James D. Brooks, Daniel L. Rubin

CoRR, 2019

Deep Learning for Prostate Pathology.

Okyaz Eminaga, Yuri Tolkach, Christian Kunder, Mahmoud Abbas, Ryan Han, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Sebastian Huss, Andreas M. Loening, Robert B. West, Geoffrey A. Sonn, Richard E. Fan, Olaf Bettendorf, James D. Brooks, Daniel L. Rubin

CoRR, 2019

Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.

Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin

CoRR, 2019

2016

Analysis of topographical distribution of prostate cancer and related pathological findings in prostatectomy specimens using cMDX document architecture.

Okyaz Eminaga, Axel Semjonow, Elke Eltze, Olaf Bettendorf, Anne Schultheis, Ute Warnecke-Eberz, Ilgar Akbarov, Sebastian Wille, Udo Engelmann

J. Biomed. Informatics, 2016

2013

Linkage of Data from Diverse Data Sources (LDS): A Data Combination Model Provides Clinical Data of Corresponding Specimens in Biobanking Information System.

Okyaz Eminaga, Enver Özgür, Axel Semjonow, Jan Herden, Ilgar Akbarov, Ali Tok, Udo Engelmann, Sebastian Wille

J. Medical Syst., 2013

2012

CMDX©-based single source information system for simplified quality management and clinical research in prostate cancer.

Okyaz Eminaga, Mahmoud Abbas, Reemt Hinkelammert, Ulf Titze, Olaf Bettendorf, Elke Eltze, Enver Özgür, Axel Semjonow

BMC Medical Informatics Decis. Mak., 2012

2010

Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens.

Okyaz Eminaga, Reemt Hinkelammert, Axel Semjonow, Joerg Neumann, Mahmoud Abbas, Thomas Koepke, Olaf Bettendorf, Elke Eltze, Martin Dugas

BMC Medical Informatics Decis. Mak., 2010