CS 490: Introduction to Research in Computer Engineering and Science

I supervise research projects on developing semantic segmentation models for medical images. These models will rely on designing new deep neural network architectures with different features. If you are interested, please send me an email for the details.

Please also check the following publications for examples of such network architecture designs.

C.T. Sari, C. Sokmensuer, and C. Gunduz-Demir, "Image embedded segmentation: Uniting supervised and unsupervised objectives for segmenting histopathological images," submitted. [https://arxiv.org/abs/2001.11202]
G.N. Gunesli, C. Sokmensuer, and C. Gunduz-Demir, "AttentionBoost: Learning what to attend for gland segmentation in histopathological images by boosting fully convolutional networks," IEEE Transactions on Medical Imaging, 2020 (in press). [pdf]
C.F. Koyuncu, G.N. Gunesli, R. Cetin-Atalay, and C. Gunduz-Demir, "DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images," Medical Image Analysis, 63:101720, 2020. [pdf]
C.T. Sari and C. Gunduz-Demir, "Unsupervised feature extraction via deep learning for histopathological classification of colon tissue images, IEEE Transactions on Medical Imaging, 38(5):1139-1149, 2019.[pdf]