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Gozde B. Unal – Gözde B. Ünal
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2020 – today
- 2023
[i25]Alper Unal, Busra Asan, Ismail Sezen, Vahit Bugra Yesilkaynak, Yusuf Aydin, Mehmet Ilicak, Gozde Unal:
Climate Model Driven Seasonal Forecasting Approach with Deep Learning. CoRR abs/2302.10480 (2023)- [i24]Vahit Bugra Yesilkaynak, Emine Dari, Alican Mertan, Gozde Unal:
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking. CoRR abs/2303.03907 (2023) - [i23]Halil Faruk Karagoz, Gulcin Baykal, Irem Arikan Eksi, Gözde B. Ünal:
Textile Pattern Generation Using Diffusion Models. CoRR abs/2304.00520 (2023) - 2022
- [j39]Yusuf Huseyin Sahin
, Alican Mertan, Gozde Unal:
ODFNet: Using orientation distribution functions to characterize 3D point clouds. Comput. Graph. 102: 610-618 (2022) - [j38]Alican Mertan, Damien Jade Duff, Gozde Unal:
Single image depth estimation: An overview. Digit. Signal Process. 123: 103441 (2022) - [j37]Gulcin Baykal, Furkan Ozcelik, Gozde Unal:
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks. Pattern Recognit. 122: 108244 (2022) - [c67]Dogay Kamar, Nazim Kemal Ure, Gözde B. Ünal:
GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning. ICAART (2) 2022: 264-272 - [c66]Melih Kandemir, Abdullah Akgül, Manuel Haußmann, Gozde Unal:
Evidential Turing Processes. ICLR 2022 - [c65]Firat Oncel, Mehmet Aygün, Gulcin Baykal, Gozde Unal:
UGQE: Uncertainty Guided Query Expansion. ICPRAI (1) 2022: 109-120 - [c64]Muruvvet Bozkurt, Firat Oncel, Cemal Gurpinar, Hatice Kose, Gozde Unal:
Facial Expressions Detection of Children with Hearing Impairment. SIU 2022: 1-4 - [i22]Abdullah Akgül, Gozde Unal, Melih Kandemir:
Continual Learning of Multi-modal Dynamics with External Memory. CoRR abs/2203.00936 (2022) - [i21]Atahan Ozer, Kadir Burak Buldu, Abdullah Akgül, Gozde Unal:
How to Combine Variational Bayesian Networks in Federated Learning. CoRR abs/2206.10897 (2022) - [i20]Dogay Kamar, Nazim Kemal Ure, Gözde B. Ünal:
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning. CoRR abs/2206.14256 (2022) - [i19]Sevgi Altun, Mustafa Cem Gunes, Yusuf Huseyin Sahin, Alican Mertan, Gozde Unal, Mine Özkar:
Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns. CoRR abs/2210.12856 (2022) - [i18]Emine Dari, Vahit Bugra Yesilkaynak, Alican Mertan, Gozde Unal:
RLSEP: Learning Label Ranks for Multi-label Classification. CoRR abs/2212.04022 (2022) - 2021
- [j36]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [j35]Furkan Ozcelik, Ugur Alganci, Elif Sertel, Gozde Unal:
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs. IEEE Trans. Geosci. Remote. Sens. 59(4): 3486-3501 (2021) - [c63]Ufuk Demir, Atahan Ozer, Yusuf Huseyin Sahin, Gozde Unal:
Uncertainty-Based Dynamic Graph Neighborhoods for Medical Segmentation. PRIME@MICCAI 2021: 255-265 - [i17]Alican Mertan, Damien Jade Duff, Gozde Unal:
Single Image Depth Estimation: An Overview. CoRR abs/2104.06456 (2021) - [i16]Melih Kandemir, Abdullah Akgül, Manuel Haußmann, Gozde Unal:
Evidential Turing Processes. CoRR abs/2106.01216 (2021) - [i15]Ufuk Demir, Atahan Ozer, Yusuf Huseyin Sahin, Gozde Unal:
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation. CoRR abs/2108.03117 (2021) - [i14]Gozdenur Demir, Asli Cekmis, Vahit Bugra Yesilkaynak, Gozde Unal:
Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks. CoRR abs/2108.04048 (2021) - 2020
- [c62]Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gozde Unal:
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation. 3DV 2020: 1079-1088 - [c61]Gulcin Baykal, Gozde Unal:
Deshufflegan: A Self-Supervised Gan to Improve Structure Learning. ICIP 2020: 708-712 - [c60]Alican Mertan, Damien Jade Duff, Gözde B. Ünal:
Siralama Sorunu Olarak Nispi Derinlik Tahmini Relative Depth Estimation as a Ranking Problem. SIU 2020: 1-6 - [i13]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i12]Gulcin Baykal, Gözde B. Ünal:
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning. CoRR abs/2006.08694 (2020) - [i11]Furkan Ozcelik, Ugur Alganci, Elif Sertel, Gözde B. Ünal:
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs. CoRR abs/2006.16644 (2020) - [i10]Vahit Bugra Yesilkaynak, Yusuf Huseyin Sahin, Gozde B. Unal:
EfficientSeg: An Efficient Semantic Segmentation Network. CoRR abs/2009.06469 (2020) - [i9]Alican Mertan, Damien Jade Duff, Gözde B. Ünal:
Relative Depth Estimation as a Ranking Problem. CoRR abs/2010.06944 (2020) - [i8]Alican Mertan, Yusuf Huseyin Sahin, Damien Jade Duff, Gözde B. Ünal:
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation. CoRR abs/2010.07091 (2020) - [i7]Gulcin Baykal, Furkan Ozcelik, Gözde B. Ünal:
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks. CoRR abs/2011.01730 (2020) - [i6]Yusuf Huseyin Sahin, Alican Mertan, Gözde B. Ünal:
ODFNet: Using orientation distribution functions to characterize 3D point clouds. CoRR abs/2012.04708 (2020)
2010 – 2019
- 2019
- [j34]Rahele Kafieh, Hossein Rabbani, Gözde B. Ünal:
Bandlets on Oriented Graphs: Application to Medical Image Enhancement. IEEE Access 7: 32589-32601 (2019) - [c59]Salih Can Yurtkulu, Yusuf Hüseyin Sahin, Gözde B. Ünal:
Semantic Segmentation with Extended DeepLabv3 Architecture. SIU 2019: 1-4 - [e5]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Proceedings of Machine Learning Research 102, PMLR 2019 [contents] - [i5]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR abs/1907.08612 (2019) - 2018
- [j33]Devran Ugurlu, Zeynep Firat, Ugur Türe, Gözde B. Ünal:
Neighborhood resolved fiber orientation distributions (NRFOD) in automatic labeling of white matter fiber pathways. Medical Image Anal. 46: 130-145 (2018) - [c58]Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gözde B. Ünal:
Generative Adversarial Training for MRA Image Synthesis Using Multi-contrast MRI. PRIME@MICCAI 2018: 147-154 - [c57]Enes Albay, Ugur Demir, Gözde B. Ünal:
Diffusion MRI Spatial Super-Resolution Using Generative Adversarial Networks. PRIME@MICCAI 2018: 155-163 - [c56]Gulcin Baykal, Ugur Demir, Ira Shyti, Gozde B. Unal:
Turkish lira banknotes classification using deep convolutional neural networks. SIU 2018: 1-4 - [c55]Ridvan Sirma, Berkan Dinar, Yusuf Huseyin Sahin, Gozde B. Unal:
A convolutional neural networks oriented approach for voxel-based 3D object classification. SIU 2018: 1-4 - [c54]Alper Tokgöz, Gözde B. Ünal:
A RNN based time series approach for forecasting turkish electricity load. SIU 2018: 1-4 - [e4]Islem Rekik, Gözde B. Ünal, Ehsan Adeli, Sang Hyun Park:
PRedictive Intelligence in MEdicine - First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11121, Springer 2018, ISBN 978-3-030-00319-7 [contents] - [i4]Ugur Demir, Gözde B. Ünal:
Deep Stacked Networks with Residual Polishing for Image Inpainting. CoRR abs/1801.00289 (2018) - [i3]Ugur Demir, Gözde B. Ünal:
Patch-Based Image Inpainting with Generative Adversarial Networks. CoRR abs/1803.07422 (2018) - [i2]Sahin Olut, Yusuf Huseyin Sahin, Ugur Demir, Gözde B. Ünal:
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI. CoRR abs/1804.04366 (2018) - [i1]Mehmet Aygün, Yusuf Huseyin Sahin, Gözde B. Ünal:
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation. CoRR abs/1809.06191 (2018) - 2017
- [j32]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
Guest editorial of the IJCARS MICCAI 2016 special issue. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1243-1244 (2017) - [j31]Ivan Stajduhar, Mihaela Mamula, Damir Miletic, Gözde B. Ünal:
Semi-automated detection of anterior cruciate ligament injury from MRI. Comput. Methods Programs Biomed. 140: 151-164 (2017) - [j30]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Anal. 41: 1 (2017) - [c53]Cem Yusuf Aydogdu, Enes Albay, Gözde B. Ünal:
Classification of brain tissues as lesion or healthy by 3D convolutional neural networks. SIU 2017: 1-4 - [c52]Ugur Demir, Gözde B. Ünal:
Inpainting by deep autoencoders using an advisor network. SIU 2017: 1-4 - [c51]Yusuf Huseyin Sahin, Gözde B. Ünal:
Cerebral vessel classification with convolutional neural networks. SIU 2017: 1-4 - 2016
- [j29]Riza Alp Güler, Sibel Tari, Gözde B. Ünal:
Landmarks inside the shape: Shape matching using image descriptors. Pattern Recognit. 49: 79-88 (2016) - [c50]Suheyla Cetin, Berkin Bilgic, Audrey P. Fan, Samantha J. Holdsworth, Gözde B. Ünal:
Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction. MICCAI (3) 2016: 467-474 - [c49]Efe Ilicak, Suheyla Cetin, Emine Ulku Saritas, Gozde B. Unal, Tolga Çukur:
Adaptive reconstruction for vessel preservation in unenhanced MR angiography. SIU 2016: 577-580 - [c48]Riza Alp Güler, Devran Ugurlu, Zeynep Firat, Ugur Türe, Gözde B. Ünal:
Shape deformation measures for white matter fibers. SIU 2016: 1277-1280 - [e3]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9900, 2016, ISBN 978-3-319-46719-1 [contents] - [e2]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9901, 2016, ISBN 978-3-319-46722-1 [contents] - [e1]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9902, 2016, ISBN 978-3-319-46725-2 [contents] - 2015
- [j28]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [j27]Suheyla Cetin, Gözde B. Ünal:
A Higher-Order Tensor Vessel Tractography for Segmentation of Vascular Structures. IEEE Trans. Medical Imaging 34(10): 2172-2185 (2015) - [c47]Zhouhui Lian, J. Zhang, S. Choi, Hanan ElNaghy, Jihad El-Sana, Takahiko Furuya, Andrea Giachetti, Riza Alp Güler, L. Lai, C. Li, H. Li, Frederico A. Limberger, Ralph R. Martin, Rafael Umino Nakanishi, Afonso Neto, Luis Gustavo Nonato, Ryutarou Ohbuchi, Kirill Pevzner, David Pickup, Paul L. Rosin, Andrei Sharf, Li Sun, Xianfang Sun, Sibel Tari, Gözde B. Ünal, Richard C. Wilson:
Non-rigid 3D Shape Retrieval. 3DOR@Eurographics 2015: 107-120 - [c46]Suheyla Cetin, Evren Özarslan, Gözde B. Ünal:
Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model. MICCAI (1) 2015: 231-238 - 2014
- [j26]Su-Lin Lee, Stefanie Demirci, Petia Radeva, Gözde B. Ünal:
Editorial note. Comput. Medical Imaging Graph. 38(2): 69 (2014) - [j25]Simone Balocco, Carlo Gatta, Francesco Ciompi, Andreas Wahle, Petia Radeva, Stéphane G. Carlier, Gözde B. Ünal, Elias Sanidas, Josepa Mauri, Xavier Carrillo, Tomas Kovarnik, Ching-Wei Wang, Hsiang-Chou Chen, Themis P. Exarchos, Dimitrios I. Fotiadis, François Destrempes, Guy Cloutier, Oriol Pujol, Marina Alberti, Eduardo Gerardo Mendizabal Ruiz, Mariano Rivera, Timur Aksoy, Richard W. Downe, Ioannis A. Kakadiaris:
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation. Comput. Medical Imaging Graph. 38(2): 70-90 (2014) - [j24]Riza Alp Güler, Sibel Tari, Gözde B. Ünal:
Screened Poisson Hyperfields for Shape Coding. SIAM J. Imaging Sci. 7(4): 2558-2590 (2014) - [c45]Suheyla Cetin, Gözde B. Ünal:
A cerebral blood vessels segmentation method using a flux based second order tensor model. SIU 2014: 1146-1149 - 2013
- [j23]Arash Taki, Alireza Roodaki, Seyed Kamaledin Setarehdan, Sara Avansari, Gözde B. Ünal, Nassir Navab:
An IVUS image-based approach for improvement of coronary plaque characterization. Comput. Biol. Medicine 43(4): 268-280 (2013) - [j22]Hortense A. Kirisli, Michiel Schaap, Coert Metz, A. S. Dharampal, W. B. Meijboom, S. L. Papadopoulou, A. Dedic, K. Nieman, Michiel A. de Graaf, M. F. L. Meijs, M. J. Cramer, Alexander Broersen, Suheyla Cetin, Abouzar Eslami, Leonardo Florez-Valencia, Kuo-Lung Lor, Bogdan J. Matuszewski, Imen Melki, Brian Mohr, Ilkay Öksüz, Rahil Khurram Shahzad, Chunliang Wang, Pieter H. Kitslaar, Gözde B. Ünal, Amin Katouzian, Maciej Orkisz, Chung-Ming Chen, Frédéric Precioso, Laurent Najman, S. Masood, Devrim Ünay, Lucas J. van Vliet, Rodrigo Moreno, Roman Goldenberg, Erald Vuçini, Gabriel P. Krestin, Wiro J. Niessen, Theo van Walsum:
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Anal. 17(8): 859-876 (2013) - [j21]Suheyla Cetin, Ali Demir, Anthony J. Yezzi, Muzaffer Degertekin, Gözde B. Ünal:
Vessel Tractography Using an Intensity Based Tensor Model With Branch Detection. IEEE Trans. Medical Imaging 32(2): 348-363 (2013) - [c44]Timur Aksoy, Stefanie Demirci, Muzaffer Degertekin, Nassir Navab, Gozde B. Unal:
Template-based CTA X-ray angio rigid registration of coronary arteries in frequency domain. Medical Imaging: Image-Guided Procedures 2013: 867127 - [c43]Andac Hamamci, M. Serhan Can, Gözde B. Ünal:
Functionally weighted track density imaging. SIU 2013: 1-4 - [c42]Leonardo O. Iheme, Devrim Ünay, Osman Baskaya, Ahmet Sennaz, Melek Kandemir, Z. Betül Yalçiner, M. Savas Tepe, Turgay Kahraman, Gözde B. Ünal:
Concordance between computer-based neuroimaging findings and expert assessments in dementia grading. SIU 2013: 1-4 - 2012
- [j20]Gözde B. Ünal:
Corrigendum to "Nonparametric joint shape learning for customized shape modeling" [Comput. Med. Imaging Graph. 34(2010) 298-307]. Comput. Medical Imaging Graph. 36(4): 343 (2012) - [j19]Maximilian Baust, Anthony J. Yezzi, Gözde B. Ünal, Nassir Navab:
Translation, Scale, and Deformation Weighted Polar Active Contours. J. Math. Imaging Vis. 44(3): 354-365 (2012) - [j18]Andac Hamamci, Nadir Kucuk, Kutlay Karaman, Kayihan Engin, Gözde B. Ünal:
Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications. IEEE Trans. Medical Imaging 31(3): 790-804 (2012) - [c41]Suheyla Cetin, Gözde B. Ünal, Muzaffer Degertekin:
An automatic branch and stenoses detection in computed tomography angiography. ISBI 2012: 582-585 - [c40]Osman Baskaya, Melek Kandemir, M. Savas Tepe, M. Acar, Gözde B. Ünal, Z. Betül Yalçiner, Devrim Ünay:
Inter-hemispheric atrophy better correlates with expert ratings than hemispheric cortical atrophy. SIU 2012: 1-4 - [c39]Ali Demir, Mustafa Unel, Rachid Deriche, Gözde B. Ünal:
Elliptic fourier features of brain white matter pathways. SIU 2012: 1-4 - 2011
- [j17]Gözde B. Ünal, Delphine Nain, Gregory G. Slabaugh, Tong Fang:
Generating shapes by analogies: An application to hearing aid design. Comput. Aided Des. 43(1): 47-56 (2011) - [j16]Hanife Kebapci, Berrin A. Yanikoglu, Gözde B. Ünal:
Plant Image Retrieval Using Color, Shape and Texture Features. Comput. J. 54(9): 1475-1490 (2011) - [c38]Maximilian Baust, Anthony J. Yezzi, Gözde B. Ünal, Nassir Navab:
A Sobolev-type metric for polar active contours. CVPR 2011: 1017-1024 - 2010
- [j15]Gregory G. Slabaugh, Brian Whited, Jarek Rossignac, Tong Fang, Gozde B. Unal:
3D ball skinning using PDEs for generation of smooth tubular surfaces. Comput. Aided Des. 42(1): 18-26 (2010) - [j14]Gözde B. Ünal:
Nonparametric joint shape learning for customized shape modeling. Comput. Medical Imaging Graph. 34(4): 298-307 (2010) - [j13]Gözde B. Ünal, Gaurav Sharma, Reiner Eschbach:
Efficient Classification of Scanned Media Using Spatial Statistics. Int. J. Pattern Recognit. Artif. Intell. 24(6): 917-946 (2010) - [j12]Mustafa Gökhan Uzunbas, Octavian Soldea, Devrim Ünay, Mert Cetin, Gözde B. Ünal, Aytül Erçil, Ahmet Ekin:
Coupled Nonparametric Shape and Moment-Based Intershape Pose Priors for Multiple Basal Ganglia Structure Segmentation. IEEE Trans. Medical Imaging 29(12): 1959-1978 (2010) - [c37]Gözde B. Ünal, Stéphane Guy Carlier:
In-vivo optical coherence tomography image analysis. ISBI 2010: 1409-1410 - [c36]Gözde Gül Isgüder, Gözde B. Ünal, Martin Groher, Nassir Navab, Ali Kemal Kalkan, Muzaffer Degertekin, Holger Hetterich, Johannes Rieber:
Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences. MIAR 2010: 139-148 - [c35]Andac Hamamci, Gozde B. Unal, Nadir Kucuk, Kayihan Engin:
Cellular Automata Segmentation of Brain Tumors on Post Contrast MR Images. MICCAI (3) 2010: 137-146 - [c34]Ali Demir, Gozde B. Unal, Kutlay Karaman:
Anatomical Landmark Based Registration of Contrast Enhanced T1-Weighted MR Images. WBIR 2010: 91-103
2000 – 2009
- 2009
- [c33]Mustafa Gökhan Uzunbas, Octavian Soldea, Müjdat Çetin, Gözde B. Ünal, Aytül Erçil, Devrim Ünay, Ahmet Ekin, Zeynep Firat:
Multi-object segmentation using coupled nonparametric shape and relative pose priors. Computational Imaging 2009: 72460 - [c32]Alexander Zouhar, Sajjad Baloch, Sergei Azernikov, Claus Bahlmann, Gözde B. Ünal, Tong Fang, Siegfried Fuchs:
Freeform shape clustering for customized design automation. ICCV Workshops 2009: 1590-1597 - [c31]M. Gökhan Uzunbas, Octavian Soldea, Müjdat Çetin, Gozde B. Unal, Aytül Erçil, Devrim Ünay, Ahmet Ekin, Zeynep Firat:
Volumetric Segmentation of Multiple Basal Ganglia Structures using Nonparametric Coupled shape and Inter-Shape Pose Priors. ISBI 2009: 29-32 - [c30]Arash Taki, Alireza Roodaki, Olivier Pauly, Seyed Kamaledin Setarehdan, Gozde B. Unal, Nassir Navab:
A New Method for Characterization of Coronary Plaque Composition Via Ivus Images. ISBI 2009: 787-790 - [c29]Hanife Kebapci, Berrin A. Yanikoglu, Gozde B. Unal:
Plant image retrieval using color and texture features. ISCIS 2009: 82-87 - [c28]Serhan Gurmeric, Gözde Gül Isgüder, Stéphane G. Carlier, Gozde B. Unal:
A New 3-D Automated Computational Method to Evaluate In-Stent Neointimal Hyperplasia in In-Vivo Intravascular Optical Coherence Tomography Pullbacks. MICCAI (1) 2009: 776-785 - 2008
- [j11]Gozde B. Unal, Greg G. Slabaugh:
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration. J. Math. Imaging Vis. 31(1): 57-72 (2008) - [j10]Gregory G. Slabaugh, Tong Fang, Fred McBagonluri, Alexander Zouhar, Rupen Melkisetoglu, Hui Xie, Gözde B. Ünal:
3-D shape modeling for hearing aid design [Applications Corner]. IEEE Signal Process. Mag. 25(5): 98-102 (2008) - [j9]Gozde B. Unal, Gregory G. Slabaugh, Ioannis A. Kakadiaris, Allen R. Tannenbaum:
Guest Editorial Introduction to the Special Section on Computer Vision for Intravascular and Intracardiac Imaging. IEEE Trans. Inf. Technol. Biomed. 12(3): 273-276 (2008) - [j8]Gozde B. Unal, S. Bucher, Stephane G. Carlier, Gregory G. Slabaugh, Tong Fang, Kaoru Tanaka:
Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images. IEEE Trans. Inf. Technol. Biomed. 12(3): 335-347 (2008) - [c27]Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Jarek Rossignac, Brian Whited:
Variational Skinning of an Ordered Set of Discrete 2D Balls. GMP 2008: 450-461 - [c26]M. Gökhan Uzunbas, Müjdat Çetin, Gozde B. Unal, Aytül Erçil:
Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures. ISBI 2008: 217-220 - [c25]Gozde B. Unal, Delphine Nain, Gregory G. Slabaugh, Tong Fang:
Customized Design of Hearing Aids Using Statistical Shape Learning. MICCAI (1) 2008: 518-526 - [c24]Olivier Pauly, Gözde B. Ünal, Gregory G. Slabaugh, Stephane G. Carlier, Tong Fang:
Semi-automatic matching of OCT and IVUS images for image fusion. Medical Imaging: Image Processing 2008: 69142N - 2007
- [j7]Christopher V. Alvino, Gozde B. Unal, Gregory G. Slabaugh, Bertrand Peny, Tong Fang:
Efficient segmentation based on Eikonal and diffusion equations. Int. J. Comput. Math. 84(9): 1309-1324 (2007) - [j6]