Okyaz Eminaga

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2023 J jnl
Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence.
CoRR
Okyaz Eminaga, Timothy Jiyong Lee, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Jin Long, Lukas Graham Hockman, Joseph C. Liao
2023 J jnl
Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence.
J. Biomed. Informatics
Okyaz Eminaga, Timothy Jiyong Lee, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Jin Long, Lukas Graham Hockman, Joseph C. Liao
2023 J jnl
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.
CoRR
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
2023 J jnl
PlexusNet: A neural network architectural concept for medical image classification.
Comput. Biol. Medicine
Okyaz Eminaga, Mahmoud Abbas, Jeanne Shen, Mark A. Laurie, James D. Brooks, Joseph C. Liao, Daniel L. Rubin
2022 J jnl
An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.
J. Medical Syst.
Okyaz Eminaga, T. Jessie Ge, Eugene Shkolyar, Mark A. Laurie, Timothy J. Lee, Lukas Hockman, Xiao Jia, Lei Xing, Joseph C. Liao
2020 J jnl
Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer.
Health Informatics J.
Okyaz Eminaga, Omran Al-Hamad, Martin Boegemann, Bernhard Breil, Axel Semjonow
2019 J jnl
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.
CoRR
Okyaz Eminaga, Mahmoud Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann, Andreas M. Loening, James D. Brooks, Daniel L. Rubin
2019 J jnl
Deep Learning for Prostate Pathology.
CoRR
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
2019 J jnl
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.
CoRR
Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin
2016 J jnl
Analysis of topographical distribution of prostate cancer and related pathological findings in prostatectomy specimens using cMDX document architecture.
J. Biomed. Informatics
Okyaz Eminaga, Axel Semjonow, Elke Eltze, Olaf Bettendorf, Anne Schultheis, Ute Warnecke-Eberz, Ilgar Akbarov, Sebastian Wille, Udo Engelmann
2013 J jnl
Linkage of Data from Diverse Data Sources (LDS): A Data Combination Model Provides Clinical Data of Corresponding Specimens in Biobanking Information System.
J. Medical Syst.
Okyaz Eminaga, Enver Özgür, Axel Semjonow, Jan Herden, Ilgar Akbarov, Ali Tok, Udo Engelmann, Sebastian Wille
2012 J jnl
CMDX©-based single source information system for simplified quality management and clinical research in prostate cancer.
BMC Medical Informatics Decis. Mak.
Okyaz Eminaga, Mahmoud Abbas, Reemt Hinkelammert, Ulf Titze, Olaf Bettendorf, Elke Eltze, Enver Özgür, Axel Semjonow
2010 J jnl
Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens.
BMC Medical Informatics Decis. Mak.
Okyaz Eminaga, Reemt Hinkelammert, Axel Semjonow, Joerg Neumann, Mahmoud Abbas, Thomas Koepke, Olaf Bettendorf, Elke Eltze, Martin Dugas