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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.

A. Varadarajan, P. Bavishi, P. Raumviboonsuk, P. Chotcomwongse, S. Venugopalan, A. Narayanaswamy, J. Cuadros, K. Kanai, G. Bresnick, M. Tadarati, S. Silpa-Archa, J. Limwattanayingyong, V. Nganthavee, J. Ledsam, P. Keane, G. Corrado, L. Peng, and D. Webster. CoRR, (2018)

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Michael Keane

R. A. A. Bowler

Â°Ake Â°Akerström

Mohamed A A Anndif

Eltohamy A A Yousef

Other publications of authors with the same name

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.A. Varadarajan, P. Bavishi, P. Raumviboonsuk, P. Chotcomwongse, S. Venugopalan, A. Narayanaswamy, J. Cuadros, K. Kanai, G. Bresnick, M. Tadarati and 8 other author(s). CoRR, (2018)Learning to Address Intra-segment Misclassification in Retinal Imaging.Y. Zhou, M. Xu, Y. Hu, H. Lin, J. Jacob, P. Keane, and D. Alexander. MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 482-492. Springer, (2021)A Linear Approach to Absolute Pose Estimation for Light Fields.S. Nousias, M. Lourakis, P. Keane, S. Ourselin, and C. Bergeles. 3DV, page 672-681. IEEE, (2020)Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.M. Wang, T. Lin, A. Lin, K. Yu, Y. Peng, L. Wang, C. Chen, K. Zou, H. Liang, M. Chen and 39 other author(s). CoRR, (2024)Code-free deep learning for multi-modality medical image classification.E. Korot, Z. Guan, D. Ferraz, S. Wagner, G. Zhang, X. Liu, L. Faes, N. Pontikos, S. Finlayson, H. Khalid and 4 other author(s). Nat. Mach. Intell., 3 (4): 288-298 (2021)Gabor Fusion Master Slave Optical Coherence Tomography.A. Podoleanu, R. Cernat, A. Bradu, M. Marques, N. Israelsen, O. Bang, S. Rivet, P. Keane, D. Garway-Heath, and R. Rajendram. ICTON, page 1. IEEE, (2019)A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images.A. Alfahaid, T. Morris, T. Cootes, P. Keane, H. Khalid, N. Pontikos, P. Sergouniotis, and K. Balaskas. MIUA, volume 1065 of Communications in Computer and Information Science, page 231-241. Springer, (2019)"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets.T. Panch, T. Pollard, H. Mattie, E. Lindemer, P. Keane, and L. Celi. npj Digit. Medicine, (2020)

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Disambiguation of "Keane, Pearse A."

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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.

Please choose a person to relate this publication to

Michael Keane

R. A. A. Bowler

Â°Ake Â°Akerström

Mohamed A A Anndif

Eltohamy A A Yousef

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Keane, Pearse A."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.

Please choose a person to relate this publication to

Michael Keane

R. A. A. Bowler

Â°Ake Â°Akerström

Mohamed A A Anndif

Eltohamy A A Yousef

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
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Chicago
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Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.