Tolga Dinçer

- Biomedical image registration. - Florescence microscopy images of 3D pig tissue-Registration of individual slices for 3D visualization.

- Development of CNN and RNN based architectures. - Cell-cycle classification for 3D+time data. - Preparation of cell datasets with focus on mitosis.

- Growth stage classification using deep learning algorithms on plant images. - Application of unsupervised learning to plant images. - Development of segmentation algorithms and GUI software for semi-automatic segmentation of plants.

- Improvement of Exemplar-Based Open-Set Panoptic Segmentation

- Radar signal processing with focus on target detection algorithms using Matlab.

-Grade: 1.7 (Thesis Grade: 1.3) -Thesis: Automatic classification of cell-cycle stages using neural networks in 3D + time data. -Courses taken: Machine Learning Image Data Analysis Pattern Recognition Image Processsing Lab: Machine Learning Seminar: Current trends in 3D Image Analysis