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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)

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Katharina Klimscha

Sophie Schweizer

Sophie Illch

Sophie Wichers

Sophie Buchholz

Other publications of authors with the same name

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. IEEE Trans. Med. Imaging, 38 (4): 1037-1047 (2019)Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.A. Breger, J. Orlando, P. Harár, M. Dörfler, S. Klimscha, C. Grechenig, B. Gerendas, U. Schmidt-Erfurth, and M. Ehler. J. Math. Imaging Vis., 62 (3): 395 (2020)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)Correction to "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 (4): 1291 (2020)RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.H. Bogunovic, F. Venhuizen, S. Klimscha, S. Apostolopoulos, A. Bab-Hadiashar, U. Bagci, M. Beg, L. Bekalo, Q. Chen, C. Ciller and 22 other author(s). IEEE Trans. Medical Imaging, 38 (8): 1858-1874 (2019)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)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)On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.A. Breger, J. Orlando, P. Harár, M. Dörfler, S. Klimscha, C. Grechenig, B. Gerendas, U. Schmidt-Erfurth, and M. Ehler. 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)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)

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Disambiguation of "Klimscha, Sophie"

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U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.

Please choose a person to relate this publication to

Katharina Klimscha

Sophie Schweizer

Sophie Illch

Sophie Wichers

Sophie Buchholz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Klimscha, Sophie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.

Please choose a person to relate this publication to

Katharina Klimscha

Sophie Schweizer

Sophie Illch

Sophie Wichers

Sophie Buchholz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.