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

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.

D. Morley, H. Foroosh, S. Shaikh, and U. Bagci. CoRR, (2017)

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.

Melek Bagci

Die Studienfachwahl der türkischen Studierenden im Zusammenhang zur Entstehung von Identitätskonstruktionen sowie Motivations- und Interessenfaktoren: eine qualitative BiographieforschungM. Bagci. FU Berlin, (2009)

Ulas Aktas

Faruk Bagci

Ahmet Bagci

Faruk Bagci

Other publications of authors with the same name

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.D. Morley, H. Foroosh, S. Shaikh, and U. Bagci. CoRR, (2017)DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos.A. Aboah, U. Bagci, A. Mussah, N. Owor, and Y. Adu-Gyamfi. CVPR Workshops, page 5359-5365. IEEE, (2023)INN: Inflated Neural Networks for IPMN Diagnosis.R. LaLonde, I. Tanner, K. Nikiforaki, G. Papadakis, P. Kandel, C. Bolan, M. Wallace, and U. Bagci. MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 101-109. Springer, (2019)PAN: Projective Adversarial Network for Medical Image Segmentation.N. Khosravan, A. Mortazi, M. Wallace, and U. Bagci. MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 68-76. Springer, (2019)Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections.U. Bagci, J. Yao, J. Caban, T. Palmore, A. Suffredini, and D. Mollura. EMBC, page 5096-5099. IEEE, (2011)A graph-theoretic approach for segmentation of PET images.U. Bagci, J. Yao, J. Caban, E. Turkbey, O. Aras, and D. Mollura. EMBC, page 8479-8482. IEEE, (2011)Efficient ribcage segmentation from CT scans using shape features.Z. Xu, U. Bagci, C. Jonsson, S. Jain, and D. Mollura. EMBC, page 2899-2902. IEEE, (2014)Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation.S. Masoudi, S. Anwar, S. Harmon, P. Choyke, B. Turkbey, and U. Bagci. EMBC, page 1624-1628. IEEE, (2020)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.A. Desai, F. Calivá, C. Iriondo, N. Khosravan, A. Mortazi, S. Jambawalikar, D. Torigian, J. Ellermann, M. Akçakaya, U. Bagci and 19 other author(s). CoRR, (2020)A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning.N. Khosravan, H. Celik, B. Turkbey, E. Jones, B. Wood, and U. Bagci. CoRR, (2018)

BibSonomy

Disambiguation of "Bagci, Ulas"

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

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.

Please choose a person to relate this publication to

Melek Bagci

Ulas Aktas

Faruk Bagci

Ahmet Bagci

Faruk Bagci

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bagci, Ulas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.

Please choose a person to relate this publication to

Melek Bagci

Ulas Aktas

Faruk Bagci

Ahmet Bagci

Faruk Bagci

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

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.