Dipl.-Ing. Wolf-Dieter Vogl, PhD
Department of Ophthalmology and Optometry
Position: Research Associate (Postdoc)
ORCID: 0000-0003-2197-5838
T +43 1 40400 67600
wolf-dieter.vogl@meduniwien.ac.at
Keywords
Artificial Intelligence; Diabetic Retinopathy; Diagnosis, Computer-Assisted; Diagnostic Imaging; Macular Degeneration; Magnetic Resonance Imaging; Retinal Vein Occlusion; Tomography, Optical Coherence
Research group(s)
- Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA)
Research Area: Since 2013 the interdisciplinary OPTIMA group is pioneering in the introduction of artificial intelligence into ophthalmology.
Members:
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
Techniques, methods & infrastructure
- Machine learning (Random Forests, Deep learning)
- Statistical machine learning (Sparse models, Elastic Net)
- Longitudinal mixed effects models, Joint models
- Large-scale medical image processing
- Population modelling of ophthalmic imaging data
- High-performance computing (HPC)
Selected publications
- Vogl, W.-D. et al., 2017. Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images. IEEE Transactions on Medical Imaging, pp.1-1. Available at: http://dx.doi.org/10.1109/TMI.2017.2700213.
- Vogl, W.-D. et al., 2015. Spatio-Temporal Signatures to Predict Retinal Disease Recurrence. Information Processing in Medical Imaging, pp.152-163. Available at: http://dx.doi.org/10.1007/978-3-319-19992-4_12.
- Vogl, W.-D. et al., 2014. Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease. Lecture Notes in Computer Science, pp.97-104. Available at: http://dx.doi.org/10.1007/978-3-319-10470-6_13.
- Vogl, W.-D. et al., 2017. Analyzing and Predicting Visual Acuity Outcomes of Anti-VEGF Therapy by a Longitudinal Mixed Effects Model of Imaging and Clinical Data. Investigative Opthalmology & Visual Science, 58(10), p.4173. Available at: http://dx.doi.org/10.1167/iovs.17-21878.