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An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.

J. Orlando, A. Breger, H. Bogunovic, S. Riedl, B. Gerendas, M. Ehler, and U. Schmidt-Erfurth. OMIA@MICCAI, volume 11855 of Lecture Notes in Computer Science, page 26-34. Springer, (2019)

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Richard Riedl

Alois Riedl

Martina Riedl

Karin Riedl

Eduard Riedl

Other publications of authors with the same name

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.T. Emre, A. Chakravarty, A. Rivail, D. Lachinov, O. Leingang, S. Riedl, J. Mai, H. Scholl, S. Sivaprasad, D. Rueckert and 3 other author(s). CoRR, (2023)SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.B. Fazekas, G. Aresta, D. Lachinov, S. Riedl, J. Mai, U. Schmidt-Erfurth, and H. Bogunovic. MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 320-329. Springer, (2022)Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration.R. Holland, O. Leingang, C. Holmes, P. Anders, J. Paetzold, R. Kaye, S. Riedl, H. Bogunovic, U. Schmidt-Erfurth, L. Fritsche and 5 other author(s). CoRR, (2023)Metadata-enhanced contrastive learning from retinal optical coherence tomography images.R. Holland, O. Leingang, H. Bogunovic, S. Riedl, L. Fritsche, T. Prevost, H. Scholl, U. Schmidt-Erfurth, S. Sivaprasad, A. Lotery and 2 other author(s). CoRR, (2022)Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT.T. Emre, M. Oghbaie, A. Chakravarty, A. Rivail, S. Riedl, J. Mai, H. Scholl, S. Sivaprasad, D. Rueckert, A. Lotery and 2 other author(s). CoRR, (2023)Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning.A. Rivail, U. Schmidt-Erfurth, W. Vogl, S. Waldstein, S. Riedl, C. Grechenig, Z. Wu, and H. Bogunovic. PRIME@MICCAI, volume 11843 of Lecture Notes in Computer Science, page 44-52. Springer, (2019)Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.T. Emre, M. Oghbaie, A. Chakravarty, A. Rivail, S. Riedl, J. Mai, H. Scholl, S. Sivaprasad, D. Rueckert, A. Lotery and 2 other author(s). OMIA@MICCAI, volume 14096 of Lecture Notes in Computer Science, page 132-141. Springer, (2023)Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.R. Holland, O. Leingang, C. Holmes, P. Anders, R. Kaye, S. Riedl, J. Paetzold, I. Ezhov, H. Bogunovic, U. Schmidt-Erfurth and 5 other author(s). MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 724-734. Springer, (2023)TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.T. Emre, A. Chakravarty, A. Rivail, S. Riedl, U. Schmidt-Erfurth, and H. Bogunovic. MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 625-634. Springer, (2022)Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.A. Chakravarty, T. Emre, O. Leingang, S. Riedl, J. Mai, H. Scholl, S. Sivaprasad, D. Rueckert, A. Lotery, U. Schmidt-Erfurth and 1 other author(s). CoRR, (2023)

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Disambiguation of "Riedl, Sophie"

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An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.

Please choose a person to relate this publication to

Richard Riedl

Alois Riedl

Martina Riedl

Karin Riedl

Eduard Riedl

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Riedl, Sophie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.

Please choose a person to relate this publication to

Richard Riedl

Alois Riedl

Martina Riedl

Karin Riedl

Eduard Riedl

Other publications of authors with the same name

Disambiguation

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DOI
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An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.