Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

O. Eminaga, M. Abbas, Y. Tolkach, R. Nolley, C. Kunder, A. Semjonow, M. Boegemann, A. Loening, J. Brooks, and D. Rubin. CoRR, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Okyaz Eminaga

Other publications of authors with the same name

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology.O. Eminaga, M. Abbas, C. Kunder, Y. Tolkach, R. Han, J. Brooks, R. Nolley, A. Semjonow, M. Boegemann, R. West and 3 other author(s). CoRR, (2023)CMDX©-based single source information system for simplified quality management and clinical research in prostate cancer.O. Eminaga, M. Abbas, R. Hinkelammert, U. Titze, O. Bettendorf, E. Eltze, E. Özgür, and A. Semjonow. BMC Medical Informatics Decis. Mak., (2012)Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens.O. Eminaga, R. Hinkelammert, A. Semjonow, J. Neumann, M. Abbas, T. Koepke, O. Bettendorf, E. Eltze, and M. Dugas. BMC Medical Informatics Decis. Mak., (2010)Analysis of topographical distribution of prostate cancer and related pathological findings in prostatectomy specimens using cMDX document architecture.O. Eminaga, A. Semjonow, E. Eltze, O. Bettendorf, A. Schultheis, U. Warnecke-Eberz, I. Akbarov, S. Wille, and U. Engelmann. J. Biomed. Informatics, (2016)Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer.O. Eminaga, O. Al-Hamad, M. Boegemann, B. Breil, and A. Semjonow. Health Informatics J., 26 (2): 945-962 (2020)PlexusNet: A neural network architectural concept for medical image classification.O. Eminaga, M. Abbas, J. Shen, M. Laurie, J. Brooks, J. Liao, and D. Rubin. Comput. Biol. Medicine, (March 2023)Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis.O. Eminaga, M. Abbas, C. Kunder, A. Loening, J. Shen, J. Brooks, C. Langlotz, and D. Rubin. CoRR, (2019)Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.O. Eminaga, M. Abbas, Y. Tolkach, R. Nolley, C. Kunder, A. Semjonow, M. Boegemann, A. Loening, J. Brooks, and D. Rubin. CoRR, (2019)Deep Learning for Prostate Pathology.O. Eminaga, Y. Tolkach, C. Kunder, M. Abbas, R. Han, R. Nolley, A. Semjonow, M. Boegemann, S. Huss, A. Loening and 6 other author(s). CoRR, (2019)An Efficient Framework for Video Documentation of Bladder Lesions for Cystoscopy: A Proof-of-Concept Study.O. Eminaga, T. Ge, E. Shkolyar, M. Laurie, T. Lee, L. Hockman, X. Jia, L. Xing, and J. Liao. J. Medical Syst., 46 (11): 73 (2022)

BibSonomy

Disambiguation of "Eminaga, Okyaz"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

Please choose a person to relate this publication to

Okyaz Eminaga

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Eminaga, Okyaz"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning.

Please choose a person to relate this publication to

Okyaz Eminaga

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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