Wolf-Dieter Vogl, Dipl.-Ing., PhD

 

Postdoctoral Researcher

Christian Doppler Laboratory for Ophthalmic Image Analysis

Medical University of Vienna

Email: wolf-dieter.vogl(at)meduniwien.ac.at

Phone: +43 1 40400 67600

Office:  Rektoratsgebäude (Building 88, floor 2, room 206)


Bio:


Wolf-Dieter Vogl is a postdoctoral research scientist at the Medical University of Vienna. He holds BSc. (2010) in media informatics and MSc. (2012) degree in visual computing from Vienna University of Technology, and a PhD (2018) degree from the Medical University of Vienna. He joined the Computational Imaging Research lab (CIR) at the Medical University of Vienna in 2011, and became a member of the Optima lab in 2013. Before starting studying he worked as a software engineer in the semiconductor industry at SEZ AG (now LAM research) in Villach from 1999 to 2006.

Research Interests:


- Spatio-temporal model building and analysis
- Longitudinal medical image analysis
- Sparse and Non-linear Regression
- Image Registration
- Multi-Modality Image Analysis
- Computer Aided Diagnosis Systems

 

Selected Publications:

Analyzing and Predicting Visual Acuity Outcomes of Anti-VEGF Therapy by a Longitudinal Mixed Effects Model of Imaging and Clinical Data
Wolf-Dieter Vogl, Sebastian M. Waldstein, Bianca S. Gerendas, Thomas Schlegl, Georg Langs, and Ursula Schmidt-Erfurth. Investigative Ophthalmology & Visual Science, 2017

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, and Georg Langs.  IEEE Transactions on Medical Imaging, 2017

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, and Georg Langs. In Proc. IPMI, 2015

Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease.
Wolf-Dieter Vogl, Helmut Prosch, Christina Mueller-Mang, Ursula Schmidt-Erfurth, and Georg Langs. In Proc. MICCAI'14, 2014