Publications

2019

Topographic Analysis of Photoreceptor Loss Correlated with Disease Morphology in Neovascular Age-Related Macular Degeneration
Riedl S, Cooney L, Grechenig C, Sadeghipour A, Pablik E, Seaman JW, Waldstein SM, Schmidt-Erfurth U
2019 RETINA


Effect of posterior vitreous detachment on treat-and-extend versus monthly ranibizumab for neovascular age-related macular degeneration
Waldstein SM, Coulibaly L, Riedl S, Sadeghipour A, Gerendas BS, Schmidt-Erfurth UM
2019 Br J Ophthalmology


Investigating a growth prediction model in advanced age-related macular degeneration with solitary geographic atrophy using quantitative autofluorescence
Reiter GS, Told R, Baumann L, Sacu S, Schmidt-Erfurth U, Pollreisz A
2019 RETINA


f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Schlegl T, Seeböck P, Waldstein SM, Langs G, Schmidt-Erfurth U
2019 Medical Image Analysis


On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems
Breger A, Orlando JI, Harar P, Dörfler M, Klimscha S, Grechenig C, Gerendas BS, Schmidt-Erfurth U, Ehler M
2019 Journal of Mathematical Imaging and Vision


Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning
Rivail A, Schmidt-Erfurth U, Vogl WD, Waldstein Sebastian M, Riedl S, Grechenig C, Wu Z, Bogunovic H
2019 PRIME-MICCAI


An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
Orlando JI, Breger A, Bogunovic H, Riedl S, Gerendas BS, Ehler M, Schmidt-Erfurth U
2019 OMIA-MICCAI


U-Net with Spatial Pyramid Pooling for Drusen Segmentation in Optical Coherence Tomography
Asgari R, Waldstein S, Schlanitz F, Baratsits M, Schmidt-Erfurth U, Bogunovic, H
2019 OMIA-MICCAI


Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography
Asgari R, Orlando JI, Waldstein S, Schlanitz F, Baratsits M, Schmidt-Erfurth U, Bogunovic H
2019 MICCAI


Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
Seeböck P, Orlando JI, Schlegl T, Waldstein S, Bogunovic H, Klimscha S, Langs G, Schmidt-Erfurth U
2019 IEEE Transactions on Medical Imaging


Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
Seeböck P, Romo-Bucheli D, Waldstein S, Bogunovic H, Orlando JI, Gerendas BS, Langs G, Schmidt-Erfurth U
2019 ISBI


A Bayesian U-net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans
Orlando JI, Seeböck P, Bogunovic H, Klimscha S, Grechenig C, Waldstein SM, Gerendas BS, Schmidt-Erfurth U
2019 ISBI


RETOUCH -The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
Bogunovic H, Venhuizen F, Klimscha S, Apostolopoulos S, Bab-Hadiashar A, Bagci U, Beg MF, Bekalo L, Chen Q, Ciller C, Gopinath K, Gostar AK, Jeon K, Ji Z, Ho Kang S, Koozekanani DD, Lu D, Morley D, Parhi KK, Suk Park H, Rashno A, Sarunic M, Shaikh S, Sivaswamy J, Tennakoon R, Yadav S, De Zanet S, Waldstein SM, Gerendas BS, Klaver C, Sanchez CI, Schmidt-Erfurth U
2019 IEEE Transactions on Medical Imaging


Morphological and functional characteristics at the onset of exudative conversion in age-related macular degeneration
Hu X, Waldstein SM, Klimscha S, Sadeghipour A, Bogunovic H, Gerendas BS, Osborne A, Schmidt-Erfurth U
2019 Retina


Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
Seeböck P, Waldstein S, Klimscha S, Bogunovic H, Schlegl T, Gerendas BS, Donner R, Schmidt-Erfurth U, Langs G
2019 IEEE Transactions on Medical Imaging


Discovery of Biomarker Candidates in Retinal OCT Images using Deep Learning
Doctoral Thesis
Seeböck P
2019, Vienna, Medical University of Vienna