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Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.

G. Ding, M. Young, S. Bourgault, S. Lee, D. Albiani, A. Kirker, F. Forooghian, M. Sarunic, A. Merkur, and M. Beg. EMBC, page 7388-7391. IEEE, (2013)

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Marinko Oluic

Marinko Pandzic

V Saile

V Geoffroy

V Ustinov

Other publications of authors with the same name

LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.D. Ma, D. Lu, S. Chen, M. Heisler, S. Dabiri, S. Lee, H. Lee, G. Ding, M. Sarunic, and M. Beg. Comput. Medical Imaging Graph., (2021)Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography.R. Chen, T. Yu, G. Xu, D. Ma, M. Sarunic, and M. Beg. CoRR, (2021)Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks.S. Chen, D. Ma, S. Lee, T. Yu, G. Xu, D. Lu, K. Popuri, M. Ju, M. Sarunic, and M. Beg. CoRR, (2022)Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework.S. Lee, N. Charon, B. Charlier, K. Popuri, E. Lebed, M. Sarunic, A. Trouvé, and M. Beg. Medical Image Anal., (2017)Exact Surface Registration of Retinal Surfaces From 3-D Optical Coherence Tomography Images.S. Lee, E. Lebed, M. Sarunic, and M. Beg. IEEE Trans. Biomed. Eng., 62 (2): 609-617 (2015)On identification of sinoatrial node in zebrafish heart based on functional time series from optical mapping.G. Ding, E. Lin, A. Ribeiro, M. Sarunic, G. Tibbits, and M. Beg. EMBC, page 6518-6521. IEEE, (2013)Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.D. Ma, D. Lu, M. Heisler, S. Dabiri, S. Lee, G. Ding, M. Sarunic, and M. Beg. MIDL, volume 121 of Proceedings of Machine Learning Research, page 493-502. PMLR, (2020)Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.D. Lu, M. Heisler, D. Ma, S. Dabiri, S. Lee, G. Ding, M. Sarunic, and M. Beg. CoRR, (2019)Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.G. Ding, M. Young, S. Bourgault, S. Lee, D. Albiani, A. Kirker, F. Forooghian, M. Sarunic, A. Merkur, and M. Beg. EMBC, page 7388-7391. IEEE, (2013)Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning.J. Lo, M. Heisler, V. Vanzan, S. Karst, I. Matovinovic, S. Loncaric, E. Navajas, M. Beg, and M. Sarunic. CoRR, (2020)

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Disambiguation of "Sarunic, Marinko V."

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Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.

Please choose a person to relate this publication to

Marinko Oluic

Marinko Pandzic

V Saile

V Geoffroy

V Ustinov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sarunic, Marinko V."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.

Please choose a person to relate this publication to

Marinko Oluic

Marinko Pandzic

V Saile

V Geoffroy

V Ustinov

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
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MSOffice XML

Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.