![]() ![]() Gunduz-Demir, “Iterative h-minima based marker-controlled watershed for cell nucleus segmentation,” Cytometry: Part A, 89A:338-249, 2016. Lotz, “Cartilage endplate thickness variation measured by ultrashort echo-time MRI is associated with adjacent disc degeneration,” Spine, 43(10):E592-E600, 2018. Gunduz-Demir, “Object-oriented segmentation of cell nuclei in fluorescence microscopy images,” Cytometry: Part A, 93A(10):1019-1028, 2018. 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. Gunduz-Demir, “DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images,” Medical Image Analysis, 63:101720, 2020. Gunduz-Demir, “AttentionBoost: Learning what to attend for gland segmentation in histopathological images by boosting fully convolutional networks,” IEEE Transactions on Medical Imaging, 39(12):4262-4273, 2020. Gunduz-Demir, “Image embedded segmentation: Uniting supervised and unsupervised objectives for segmenting histopathological images,”. Hasanreisoglu, “Henle fiber layer mapping with directional optical coherence tomography,” RETINA The Journal of Retinal and Vitreous Diseases, 42(9):1780-1787, 2022.Ĭ.T. Gunduz-Demir, “FourierNet: Shape-preserving network for Henle’s fiber layer segmentation in optical coherence tomography images,” IEEE Journal of Biomedical and Health Informatics, 27(2):1036-1047, 2023.Ĭ. Gunduz-Demir, “MTFD-Net: Left atrium segmentation using multi-task network in CT images through fractal dimension estimation,” submitted (2022). ![]()
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