| Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77-102, 2017 | 292 | 2017 |
| Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography HA Kirişli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ... Medical image analysis 17 (8), 859-876, 2013 | 221 | 2013 |
| Automatic grading of Bi-colored apples by multispectral machine vision D Unay, B Gosselin, O Kleynen, V Leemans, MF Destain, O Debeir Computers and electronics in agriculture 75 (1), 204-212, 2011 | 208 | 2011 |
| Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 182* | 2006 |
| Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014 | 170 | 2014 |
| Stem and calyx recognition on ‘Jonagold’apples by pattern recognition D Unay, B Gosselin Journal of food Engineering 78 (2), 597-605, 2007 | 133 | 2007 |
| Local structure-based region-of-interest retrieval in brain MR images D Unay, A Ekin, RS Jasinschi IEEE Transactions on Information technology in Biomedicine 14 (4), 897-903, 2010 | 131 | 2010 |
| Automatic defect segmentation of ‘Jonagold’apples on multi-spectral images: A comparative study D Unay, B Gosselin Postharvest Biology and Technology 42 (3), 271-279, 2006 | 94 | 2006 |
| Robustness of local binary patterns in brain MR image analysis D Unay, A Ekin, M Cetin, R Jasinschi, A Ercil 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 86 | 2007 |
| Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge DM Cash, C Frost, LO Iheme, D Ünay, M Kandemir, J Fripp, O Salvado, ... Neuroimage 123, 149-164, 2015 | 79 | 2015 |
| Artificial neural network-based segmentation and apple grading by machine vision D Unay, B Gosselin IEEE International Conference on Image Processing 2005 2, II-630, 2005 | 73 | 2005 |
| Retrieval from and understanding of large-scale multi-modal medical datasets: a review H Müller, D Unay IEEE transactions on multimedia 19 (9), 2093-2104, 2017 | 55 | 2017 |
| Medical image search and retrieval using local binary patterns and KLT feature points D Unay, A Ekin, R Jasinschi 2008 15th IEEE International Conference on Image Processing, 997-1000, 2008 | 41 | 2008 |
| Intensity versus texture for medical image search and retrival D Unay, A Ekin 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008 | 39 | 2008 |
| Dendritic spine classification using shape and appearance features based on two-photon microscopy MU Ghani, F Mesadi, SD Kanık, AÖ Argunşah, AF Hobbiss, I Israely, ... Journal of neuroscience methods 279, 13-21, 2017 | 37 | 2017 |
| Apple defect detection and quality classification with mlp-neural networks D Unay, B Gosselin Proceedings of the ProRISC Workshop on Circuits, Systems and Signal Processing, 2002 | 34 | 2002 |
| A hybrid method for coronary artery stenoses detection and quantification in CTA images İ Öksüz, D Ünay, K Kadıpaşaoğlu MICCAI Workshop 3d Cardiovascular Imaging: A MICCAI Segmentation, 2012 | 29 | 2012 |
| Dementia diagnosis using similar and dissimilar retrieval items D Unay, A Ekin 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 29 | 2011 |
| Automated diagnosis of Alzheimer's disease using image similarity and user feedback CB Akgül, D Ünay, A Ekin Proceedings of the ACM International Conference on Image and Video Retrieval …, 2009 | 29 | 2009 |
| BIAFLOWS: A collaborative framework to reproducibly deploy and benchmark bioimage analysis workflows U Rubens, R Mormont, L Paavolainen, V Bäcker, B Pavie, LA Scholz, ... Patterns 1 (3), 2020 | 26* | 2020 |
Mujdat CetinUniversity of Rochesterrochester.edu의 이메일 확인됨
