Article
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| Hamamcı, Andaç and Küçük, Nadir and Karaman, Kutlay and Engin, Kayıhan and Ünal, Gözde, (2012) “Tumor-Cut: segmentation of brain tumors on contrast enhanced MR images for radiosurgery applications”, IEEE Transactions on Medical Imaging, Vol.31, No.3, 790-804 (SCI) |
Book Section / Chapter
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| Hamamcı, Andaç and Ünal, Gözde, Registration of brain tumor images using hyper-elastic regularization Computational Biomechanics for Medicine: Models, Algorithms and Implementation, Wittek, Adam and Miller, Karol and Nielsen, Poul M.F. (eds.), New York: Springer, January 2013, 101-114 |
| Güler, Rıza Alp and Hamamcı, Andaç and Ünal, Gözde, A scalable fluctuating distance field: an application to tumor shape analysis Research in Shape Analysis, Katryn, Leonard and Sibel, Tari (eds.), USA: Springer (forthcoming) |
Papers in Conference Proceedings
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| Hamamcı, Andaç and Can, Mehmet Serhan and Ünal, Gözde, ” Functionally weighted track density imaging (İşlevsel ağırlıklı yolak yoğunluğu görüntüleme) “, 21st Signal Processing and Communications Applications Conference (SIU 2013), USA: IEEE (Institute of Electrical and Electronics Engineers), April 2013, 1-4 |
| Hamamcı, Andaç and Ünal, Gözde, “Registration of brain tumor images using hyper-elastic regularization“, Computational Biomechanics for Medicine VII: A MICCAI 2012 Satellite Workshop, Nice, France: MICCAI, October 2012, 90-104 |
| Hamamcı, Andaç and Ünal, Gözde and Küçük, Nadir and Engin, Kayıhan, “Cellular automata segmentation of brain tumors on post contrast MR images“, Jiang, Tianzi and Navab, Nassir and Pluim, Josien P.W. and Viergever, Max A. (eds.), 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2010), Berlin: Springer-Verlag, September 2010, 137-146 |
