Waldstein, Sebastian M.

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Schlegl, T., Seeböck, P., Waldstein, S. M., Schmidt-Erfurth, U., & Langs, G. (2017) · Lecture Notes in Computer Science

Anomaly Detection Techniques and ApplicationsRetinal Imaging and Analysis

Cited by 2,627

Artificial intelligence in retina

Schmidt-Erfurth, U., Sadeghipour, A., Gerendas, B. S., Waldstein, S. M., & Bogunović, H. (2018) · Progress in Retinal and Eye Research

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 779

A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration

Schmidt-Erfurth, U., & Waldstein, S. M. (2016) · Progress in Retinal and Eye Research

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 390

Pigment Epithelial Detachment Followed by Retinal Cystoid Degeneration Leads to Vision Loss in Treatment of Neovascular Age-Related Macular Degeneration

Schmidt-Erfurth, U., Waldstein, S. M., Deak, G.-G., Kundi, M., & Simader, C. (2015) · Ophthalmology

Retinal Diseases and TreatmentsRetinal and Macular Surgery

Cited by 211

Exploiting epistemic uncertainty of anatomy segmentation for anomaly detection in retinal OCT

Seebock, P., Orlando, J. I., Schlegl, T., Waldstein, S. M., Bogunovic, H., Klimscha, S., Langs, G., & Schmidt-Erfurth, U. (2020) · IEEE Transactions on Medical Imaging

Retinal Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 164

Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning

Rivail, A., Schmidt-Erfurth, U., Vogl, W.-D., Waldstein, S. M., Riedl, S., Grechenig, C., Wu, Z., & Bogunovic, H. (2019) · Lecture Notes in Computer Science

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 25