Sveta Zinger is an Assistant Professor in digital image analysis technologies for healthcare. Her areas of expertise include medical image and video analysis for diagnosis and prognosis. This comprises temporal data analysis, machine learning, context analysis of patient data. Multi-modal data processing and exploration of novel sensing technologies play an important role in this research. Dr. Zinger is actively involved in a number of national and international research projects, collaborating with industrial and clinical partners in these domains.
Svitlana (Sveta ) Zinger received her MSc in computer science in 2000 from the Radiophysics faculty of the Dnepropetrovsk State University, Ukraine. In 2004, she received a PhD from the Ecole Nationale Superieure des Telecommunications, France, for her thesis on interpolation and resampling of 3D data. In 2005 she was a postdoctoral fellow in the Multimedia and Multilingual Knowledge Engineering Laboratory of the French Atomic Agency, France, where she worked on creation of a large-scale image ontology for content based image retrieval. In 2006-2008 Sveta was a postdoctoral researcher at the Center for Language and Cognition Groningen and an associated researcher at the Artificial Intelligence department in the University of Groningen, the Netherlands, working on information retrieval from handwritten documents.
Localization of partially visible needles in 3D ultrasound using dilated CNNs2018 IEEE International Ultrasonics Symposium, IUS 2018 (2019)
From detection of individual metastases to classification of lymph node status at the patient levelIEEE Transactions on Medical Imaging (2019)
Improving BOLD sensitivity with real-time multi-echo echo-planar imaging - Towards a cleaner neurofeedback signal11th ISMRM Benelux Chapter meeting (2019)
The Argos projectUnited European Gastroenterology Journal (2019)
Multispectral image analysis for patient tissue tracking during complex interventions25th IEEE International Conference on Image Processing (ICIP 2018) (2018)
- Internship SPS
- Image analysis for health-care technologies
- DSP fundamentals (signals II)
- Introduction to medical image processing
- Signals II
No ancillary activities