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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

T. Schlegl, P. Seeböck, S. Waldstein, U. Schmidt-Erfurth, и G. Langs. Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings, том 10265 из Lecture Notes in Computer Science, стр. 146--157. Springer, (2017)
DOI: 10.1007/978-3-319-59050-9\_12

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Ursula Schmidt-Erfurth

Ivonne Erfurth

Jens Erfurth

Henning Erfurth

Fritz Erfurth

Другие публикации лиц с тем же именем

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, и G. Langs. CoRR, (2018)Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography.O. Hassan, M. Menten, H. Bogunovic, U. Schmidt-Erfurth, A. Lotery, и D. Rueckert. ISBI, стр. 238-242. IEEE, (2021)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, и U. Schmidt-Erfurth. ISBI, стр. 1441-1445. IEEE, (2019)Spatio-Temporal Signatures to Predict Retinal Disease Recurrence.W. Vogl, S. Waldstein, B. Gerendas, C. Simader, A. Glodan, D. Podkowinski, U. Schmidt-Erfurth, и G. Langs. IPMI, том 9123 из Lecture Notes in Computer Science, стр. 152-163. Springer, (2015)Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning.S. Schürer-Waldheim, P. Seeböck, H. Bogunovic, B. Gerendas, и U. Schmidt-Erfurth. IEEE J. Biomed. Health Informatics, 26 (8): 3927-3937 (2022)End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.D. Romo-Bucheli, U. Schmidt-Erfurth, и H. Bogunovic. IEEE J. Biomed. Health Informatics, 24 (12): 3456-3465 (2020)Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT.D. Lachinov, P. Seeböck, J. Mai, F. Goldbach, U. Schmidt-Erfurth, и H. Bogunovic. MICCAI (1), том 12901 из Lecture Notes in Computer Science, стр. 431-441. Springer, (2021)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 и 2 other автор(ы). OMIA@MICCAI, том 14096 из Lecture Notes in Computer Science, стр. 132-141. Springer, (2023)Self-supervised Learning via Inter-modal Reconstruction and Feature Projection Networks for Label-Efficient 3D-to-2D Segmentation.J. Morano, G. Aresta, D. Lachinov, J. Mai, U. Schmidt-Erfurth, и H. Bogunovic. MICCAI (4), том 14223 из Lecture Notes in Computer Science, стр. 589-599. 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 и 5 other автор(ы). MICCAI (7), том 14226 из Lecture Notes in Computer Science, стр. 724-734. Springer, (2023)

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