Keywords
Artificial Intelligence; Diabetic Retinopathy; Diagnostic Imaging; Eye; Eye Diseases; Fluorescein Angiography; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Multimodal Imaging; Ophthalmology; Optical Imaging; Retina; Tomography, Optical Coherence
Research group(s)
- Vienna Reading Center
Research Area: Our mission is to enhance progress in the scientific understanding of diseases and treatment through efficient and reliable analysis of ophthalmic images in clinical studies.
Members:
Research interests
- Medical image analysis
- Machine learning, Artificial intelligence
- Imaging biomarkers
- Optical coherence tomography angiography
- Fluorescein angiography
- Retinal vascular diseases
Selected publications
- Hofer, D. et al., 2019. Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. Lecture Notes in Computer Science, pp.35–42. Available at: http://dx.doi.org/10.1007/978-3-030-32956-3_5.