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Mustafa Gokhan Uzunbas
Mustafa Gokhan Uzunbas
Research Scientist at Facebook AI
Verified email at fb.com
Title
Cited by
Cited by
Year
Crowdsourcing the creation of image segmentation algorithms for connectomics
I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ...
Frontiers in neuroanatomy 9, 152591, 2015
3732015
Dcan: Dual channel-wise alignment networks for unsupervised scene adaptation
Z Wu, X Han, YL Lin, MG Uzunbas, T Goldstein, SN Lim, LS Davis
Proceedings of the European Conference on Computer Vision (ECCV), 518-534, 2018
3092018
A reinforcement learning approach to the view planning problem
M Devrim Kaba, M Gokhan Uzunbas, S Nam Lim
Proceedings of the IEEE conference on computer vision and pattern …, 2017
642017
In-vehicle corpus and signal processing for driver behavior
K Takeda, H Erdogan, J Hansen, H Abut
Springer Science & Business Media, 2009
492009
Real-world data collection with “UYANIK”
H Abut, H Erdoğan, A Erçil, B Çürüklü, HC Koman, F Taş, AÖ Argunşah, ...
In-Vehicle Corpus and Signal Processing for Driver Behavior, 23-43, 2009
49*2009
An efficient conditional random field approach for automatic and interactive neuron segmentation
MG Uzunbas, C Chen, D Metaxas
Medical image analysis 27, 31-44, 2016
472016
Segmentation of myocardium using deformable regions and graph cuts
MG Uzunbaş, S Zhang, KM Pohl, D Metaxas, L Axel
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 254-257, 2012
392012
Organ segmentation with level sets using local shape and appearance priors
T Kohlberger, MG Uzunbaş, C Alvino, T Kadir, DO Slosman, G Funka-Lea
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
332009
Optree: a learning-based adaptive watershed algorithm for neuron segmentation
MG Uzunbaş, C Chen, D Metaxsas
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
322014
Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures
MG Uzunbas, C M, U G, A Ercil
Biomedical Imaging: From Nano to Macro, 2009. ISBI'08, 217-220, 2008
30*2008
Shape prior modeling using sparse representation and online dictionary learning
S Zhang, Y Zhan, Y Zhou, M Uzunbas, DN Metaxas
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
252012
3D segmentation of rodent brain structures using hierarchical shape priors and deformable models
S Zhang, J Huang, M Uzunbas, T Shen, F Delis, X Huang, N Volkow, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
182011
Combining learning-based intensity distributions with nonparametric shape priors for image segmentation
A Soğanlı, MG Uzunbaş, M Çetin
Signal, Image and Video Processing 8, 789-798, 2014
132014
Data collection with
H Abut, H Erdogan, A Ercil, B Cürüklü, HC Koman, F Tas, AO Argunsah, ...
UYANIK”,” in In-Vehicle Corpus and Signal Processing for Driver Behavior, K …, 2008
122008
Collaborative multi organ segmentation by integrating deformable and graphical models
MG Uzunbaş, C Chen, S Zhang, KM Pohl, K Li, D Metaxas
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
112013
3D segmentation of rodent brain structures using active volume model with shape priors
S Zhang, J Huang, M Uzunbas, T Shen, F Delis, X Huang, N Volkow, ...
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
72011
Cloud-based machine learning system and data fusion for the prediction and detection of corrosion under insulation
A Al Shehri, SN Lim, A Amer, M Uzunbas, A Aldabbagh, M Ababtain, ...
US Patent 10,533,937, 2020
62020
Optical flow determination system
SN Lim, MD Kaba, M Uzunbas, D Diwinsky
US Patent 10,482,609, 2019
62019
Contextual grouping in a concept: a multistage decision strategy for EM segmentation
E Bas, MG Uzunbas, D Metaxas, E Myers
Proc. of ISBI, 2012
52012
Machine learning system and data fusion for optimization of deployment conditions for detection of corrosion under insulation
A Al Shehri, SN Lim, A Amer, M Uzunbas, A Aldabbagh, M Ababtain, ...
US Patent 10,643,324, 2020
42020
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