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Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.

P. Seeböck, D. Romo-Bucheli, S. Waldstein, H. Bogunovic, J. Orlando, B. Gerendas, G. Langs, and U. Schmidt-Erfurth. ISBI, page 605-609. IEEE, (2019)

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Thor Waldstein

Karlheinz Waldstein

Julie Waldstein

Fanni Waldstein

Christina Waldstein

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Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.P. Seeböck, S. Waldstein, S. Klimscha, H. Bogunovic, T. Schlegl, B. Gerendas, R. Donner, U. Schmidt-Erfurth, and G. Langs. CoRR, (2018)Spatio-Temporal Signatures to Predict Retinal Disease Recurrence.W. Vogl, S. Waldstein, B. Gerendas, C. Simader, A. Glodan, D. Podkowinski, U. Schmidt-Erfurth, and G. Langs. IPMI, volume 9123 of Lecture Notes in Computer Science, page 152-163. Springer, (2015)U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.J. Orlando, P. Seeböck, H. Bogunovic, S. Klimscha, C. Grechenig, S. Waldstein, B. Gerendas, and U. Schmidt-Erfurth. ISBI, page 1441-1445. IEEE, (2019)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.P. Seeböck, J. Orlando, T. Schlegl, S. Waldstein, H. Bogunovic, S. Klimscha, G. Langs, and U. Schmidt-Erfurth. CoRR, (2019)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.P. Seeböck, J. Orlando, T. Schlegl, S. Waldstein, H. Bogunovic, S. Klimscha, G. Langs, and U. Schmidt-Erfurth. IEEE Trans. Med. Imaging, 39 (1): 87-98 (2020)Improve synthetic retinal OCT images with present of pathologies and textural information.E. Varnousfaderani, W. Vogl, J. Wu, B. Gerendas, C. Simader, G. Langs, S. Waldstein, and U. Schmidt-Erfurth. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97843V. SPIE, (2016)Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.P. Seeböck, D. Romo-Bucheli, S. Waldstein, H. Bogunovic, J. Orlando, B. Gerendas, G. Langs, and U. Schmidt-Erfurth. ISBI, page 605-609. IEEE, (2019)Geodesic denoising for optical coherence tomography images.E. Varnousfaderani, W. Vogl, J. Wu, B. Gerendas, C. Simader, G. Langs, S. Waldstein, and U. Schmidt-Erfurth. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840K. SPIE, (2016)Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices.J. Wu, B. Gerendas, S. Waldstein, C. Simader, and U. Schmidt-Erfurth. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903403. SPIE, (2014)Identifying and Categorizing Anomalies in Retinal Imaging Data.P. Seeböck, S. Waldstein, S. Klimscha, B. Gerendas, R. Donner, T. Schlegl, U. Schmidt-Erfurth, and G. Langs. CoRR, (2016)

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Disambiguation of "Waldstein, Sebastian M."

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Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.

Please choose a person to relate this publication to

Thor Waldstein

Karlheinz Waldstein

Julie Waldstein

Fanni Waldstein

Christina Waldstein

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Waldstein, Sebastian M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.

Please choose a person to relate this publication to

Thor Waldstein

Karlheinz Waldstein

Julie Waldstein

Fanni Waldstein

Christina Waldstein

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.