Coordinator: Prof. Dr. Devrim Ünay
Vision Lab aims to bring algorithmic solutions to real-life vision related problems.
Our main research topics are
- Computer vision and pattern recognition
- Biomedical image processing
- Machine / deep learning
- Information retrieval
- Data mining.
Selected projects of our lab:
- Development of Image Processing and Machine Learning based Tools for Analysis of Phase-Contrast Optical Microscopy Time Series Images. TÜBİTAK ARDEB 1001. 2020-2023
- A new Network of European BioImage Analysts to advance life science imaging (NEUBIAS). EU Cost Action CA15124. 2016-2020
- Probabilistic and Machine Learning-based Methods for Automatic Dendritic Spine Segmentation, Classification, and Tracking in Two-Photon Microscopy Images. TÜBİTAK ARDEB 1001. 2014-2017
- Comparing Visual and computer-based ratings of dementia-related neuroimaging findings. TÜBİTAK ARDEB 3501 Career Grant. 2011-2014
Selected publications of our lab:
- Rubens, U., Mormont, R., Baecker, V., Michiels, G., Paavolainen, L., Ball, G., Unay, D., Pavie, B., Chessel, A., Scholz, L., Maska, M., Hoyoux, R., Vandaele, R., Stanciu, S., Golani, O., Sladoje, N., Paul, P., Marée, R., Tosi, S., BIAFLOWS: A collaborative framework to benchmark bioimage analysis workflows, 10.1101/707489, 2020, Patterns – Cell Press (accepted). You can also check the interview in Prelights.
- Yalciner, B.Z., Kandemir, M., Taskale, S., Tepe, S.M., Unay, D., “Modified Visual MR Rating Scale for Evaluation of Patients with Forgetfulness” Canadian Journal of Neurological Sciences, 46 (1), 71-78, 2019.
- Rada, L., Kilic, B., Erdil, E., Ramiro-Cortez, Y., Israely, I., Unay, D., Cetin, M., Argunsah, A.O., “Tracking-assisted Detection of Dendritic Spines in Time Lapse Microscopic Images” Neuroscience, 394, 198-205, 2018.
- Unay, D., Stanciu, G.S., “An evaluation on the robustness of five popular keypoint descriptors to image modifications specific to laser scanning microscopy” IEEE Access, 6, 40154-40164, 2018.
- Müller, H., Unay, D., “Retrieval from and Understanding of Large-Scale Multi-Modal Medical Datasets: A Review”, IEEE Transactions on Multimedia, 19(9), 2093-2104, 2017.
- Erdil, E., Ghani, M.U., Rada, L., Argunsah, A.O., Unay, D., Tasdizen, T., Cetin, M., “Nonparametric Joint Shape and Feature Priors for Image Segmentation”, IEEE Transactions on Image Processing, 26(11), 5312-5323, 2017.
- Carass, A., et al., “Longitudinal Multiple Sclerosis Lesion Segmentation: Resource and Challenge” NeuroImage, 148, 77-102, 2017.
- Ghani, M.U., Mesadi, F., Kanik, S.D., Argunsah, A.O., Hobbiss, A.F., Israely, I., Unay, D., Tasdizen, T., Cetin, M., “Dendritic Spine Classification using Shape and Appearance Features based on Two-Photon Microscopy”, Journal of Neuroscience Methods, 279, 13-21, 2017.