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.
Multispectral image analysis for patient tissue tracking during complex interventions25th IEEE International Conference on Image Processing (ICIP 2018) (2018)
Automatic detection of early esophageal cancer with CNNS using transfer learning25th IEEE International Conference on Image Processing (ICIP 2018) (2018)
Deep convolutional gaussian mixture model for stain-color normalization of histopathological images21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 (2018)
Bladder cancer segmentation on multispectral images12th International Conference on Distributed Smart Cameras, ICDSC 2018 (2018)
Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networksInternational Journal of Computer Assisted Radiology and Surgery (2018)
- Internship SPS
- Image analysis for health-care technologies
- DSP fundamentals (signals II)
- Introduction to medical image processing
- Signals II
- Fundamentals of Medical Image Processing
No ancillary activities