Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease. - Wolf-Dieter Vogl; Helmut Prosch; Christina Müller-Mang; Ursula Schmidt-Erfurth; Georg Langs (MICCAI (2), 2014)

Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. - Thomas Schlegl; Sebastian M. Waldstein; Wolf-Dieter Vogl; Ursula Schmidt-Erfurth; Georg Langs (IPMI, 2015)

Spatio-Temporal Signatures to Predict Retinal Disease Recurrence. - Wolf-Dieter Vogl; Sebastian M. Waldstein; Bianca S. Gerendas; Christian Simader; Ana-Maria Glodan; Dominika Podkowinski; Ursula Schmidt-Erfurth; Georg Langs (IPMI, 2015)

Geodesic denoising for optical coherence tomography images. - Ehsan Shahrian Varnousfaderani; Wolf-Dieter Vogl; Jing Wu 010; Bianca S. Gerendas; Christian Simader; Georg Langs; Sebastian M. Waldstein; Ursula Schmidt-Erfurth (Image Processing, 2016)

Improve synthetic retinal OCT images with present of pathologies and textural information. - Ehsan Shahrian Varnousfaderani; Wolf-Dieter Vogl; Jing Wu 010; Bianca S. Gerendas; Christian Simader; Georg Langs; Sebastian M. Waldstein; Ursula Schmidt-Erfurth (Image Processing, 2016)

A novel benchmark model for intelligent annotation of spectral-domain optical coherence tomography scans using the example of cyst annotation. - Ehsan Shahrian Varnousfaderani; Jing Wu 010; Wolf-Dieter Vogl; Ana-Maria Philip; Alessio Montuoro; Roland Leitner; Christian Simader; Sebastian M. Waldstein; Bianca S. Gerendas; Ursula Schmidt-Erfurth (Comput. Methods Programs Biomed., 2016)

Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images. - Wolf-Dieter Vogl; Sebastian M. Waldstein; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Georg Langs (IEEE Trans. Medical Imaging, 2017)

Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning. - Antoine Rivail; Ursula Schmidt-Erfurth; Wolf-Dieter Vogl; Sebastian M. Waldstein; Sophie Riedl; Christoph Grechenig; Zhichao Wu; Hrvoje Bogunovic (PRIME@MICCAI, 2019)