Conference papers

  1. Ucar, M., Iheme, L. O., Onal, S., Ozuysal, O. Y., Okvur, D. P., Toreyin, B. U., & Unay, D. “Detection and Restoration Pipeline for Phase Contrast Microscopy Time Series Images“, Proc. of IEEE National Congress on Medical Technologies (TipTekno), pp. 1-4, 2022.
  2. Aydeniz, B., Metin, S. C., Turkan, M., Unay, D., Karayannis, T., & Argunsah, A. Ö. “Enhancing Two-Photon Images for Anatomical Visualisation using Super-Resolution“, Proc. of IEEE National Congress on Medical Technologies (TipTekno), pp. 1-4, 2022.
  3. Ayanzadeh, A., Ozuysal, O. Y., Okvur, D. P., Önal, S., Töreyin, B. U., Unay, D. “Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images“, Proc. of IEEE 28th Signal Processing and Communications Applications Conference (SIU), Virtual, 2020.
  4. Mayalı, B., Şaylığ, O., Ozuysal, O. Y., Okvur, D. P., Töreyin, B. U., Unay, D. “Automated Analysis of Wound Healing Microscopy Image Series – A Preliminary Study“, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Virtual, 2020.
  5. Kayan, E., Kavuşan, T., Önal, S., Okvur, D. P., Ozuysal, O. Y., Töreyin, B. U., Unay, D. “A Preliminary Study on Cell Motility Analysis from Phase-Contrast Microscopy Image Series“, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Virtual, 2020.
  6. Ayanzadeh, A., Yagar, H. O., Ozuysal, O. Y., Okvur, D. P., Töreyin, B. U., Unay, D., Önal, S. “Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method”, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Izmir – Turkey, 2019.
  7. Cigdem, O., Sulucay, A., Yilmaz, A., Oguz , K., Demirel, H., Kitis, O., Eker, C., Gonul, A. S., Unay, D., “Diagnosis of Bipolar Disease Using Correlation-Based Feature Selection with Different Classification Methods”, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Izmir – Turkey, 2019.
  8. Cigdem, O., Soyak, R., Aydeniz, B., Oguz , K., Demirel, H., Kitis, O., Eker, C., Gonul, A. S., Unay, D., “Classification of Healthy Siblings of Bipolar Disorder Patients from Healthy Controls Using MRI”, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Izmir – Turkey, 2019.
  9. Binici, R. C., Sahin, U., Ayanzadeh, A., Töreyin, B. U., Önal, S., Okvur, D. P., Ozuysal, O. Y., Unay, D. “Automated Segmentation of Cells in Phase Contrast Optical Microscopy Time Series Images”, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Izmir – Turkey, 2019.
  10. Avci U., Akkurt G., Unay D. (2019) A Pattern Mining Approach in Feature Extraction for Emotion Recognition from Speech. In: Salah A., Karpov A., Potapova R. (eds) Speech and Computer. SPECOM 2019. Lecture Notes in Computer Science, vol 11658.
  11. Cigdem, O, Horuz, E., Soyak, R., Aydeniz, B., Sulucay, A., Oguz, K., Demirel, H., Kitis, O., Eker, C., Gonul, A.S., Unay, D., “Classification of Patients with Bipolar Disorder and Their Healthy Siblings from Healthy Controls Using MRI”, IEEE International Symposium on Medical Measurements and Applications (MeMeA), Istanbul – Turkey, 2019.
  12. Cigdem, O, Horuz, E., Soyak, R., Aydeniz, B., Sulucay, A., Oguz, K., Demirel, H., Kitis, O., Eker, C., Gonul, A.S., Unay, D., “Effects of covariates on classification of bipolar disorder using structural MRI”, The Scientific Meeting on Electrical-Electronics & Biomedical Engineering & Computer Science (EBBT), Istanbul – Turkey, 2019.
  13. Berkay, M., Mergen, E.H., Binici, R.C., Bayhan, Y., Gungor, A., Okur, E., Unay, D., Turkan, M., “Deep learning based melanoma detection from dermascopic images”, The Scientific Meeting on Electrical-Electronics & Biomedical Engineering & Computer Science (EBBT), Istanbul – Turkey, 2019.
  14. Erdil, E., Argunsah, A.O., Tasdizen, T., Unay, D. Cetin, M.,”Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-photon microscopy images”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Venice – Italy, 2019.
  15. Demir, A. B., M. Kartal-Yandım, Z. Fırtına-Karagonlar, Unay, D., Tosun, M., “PP-012 Developing Research Skills in Biomedical Sciences during Undergraduate Medical Education”, Turkish Journal of Biochemistry. 43(s4): 22-22, 2019.
  16. Kocatekin, T., Unay, D., “Automated categorization of Turkish radiology reports using text mining”, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Famagusta – Cyprus, 2018.
  17. Ekin, A., Unay, D., “Blockchain applications in healthcare”, Proc. of IEEE 26th Signal Processing and Communications Applications Conference (SIU), Izmir – Turkey, 2018.
  18. Unay, D., Stanciu, S.G., “Robustness of sift feature descriptors to imaging parameters in laser scanning microscopy”, Proc. of IEEE 26th Signal Processing and Communications Applications Conference (SIU), Izmir – Turkey, 2018.
  19. Bocugoz, E., Erdil, E., Argunsah, A.O., Unay, D., Cetin, M., “3B Dendritic Spine Segmentation using Nonparametric Shape Priors”, Proc. of IEEE 25th Signal Processing and Communications Applications Conference (SIU), Antalya – Turkey, 2017.
  20. Atabakilachini, N., Erdil, E., Argunsah, A.O., Rada, L., Unay, D., Cetin, M., “Coupled Shape Priors for Dynamic Segmentation of Dendritic Spines”, Proc. of IEEE 25th Signal Processing and Communications Applications Conference (SIU), Antalya – Turkey, 2017.
  21. Yalciner, Z.B., Kandemir, M., Tepe, M.S., Taskale, S., Unay, D., “Using the Modified Morphological MRI Grading Scale for Dementia Diagnosis of Patients with Forgetfulness”, Proc. of World Congress and Expo on Dementia and Neuroscience, Los Angeles – USA, 2016.
  22. Ghani, M.U., Erdil, E., Kanik, S.D., Argunsah, A.O., Hobbiss, A.F., Israely, I., Unay, D., Tasdizen, T., Çetin, M., “Dendritic Spine Shape Analysis: A Clustering Perspective”, Proc. of Bioimage Computing Workshop of European Conference on Computer Vision (ECCV), Amsterdam – Netherlands, 2016.
  23. Ghani, M.U., Kanik, S.D., Argunsah, A.O., Israely, I., Unay, D., Çetin, M., “Dendritic Spine Classification based on Two-Photon Microscopic Images using Sparse Representation”, Proc. of IEEE 24th Signal Processing and Communications Applications Conference (SIU), Zonguldak – Turkey, 2016.
  24. Erdil, E., Rada, L., Argunsah, A.O., Israely, I., Unay, D., Tasdizen, T., Cetin, M.,”Nonparametric Joint Shape and Feature Priors for Segmentation of Dendritic Spines”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Prague – Czech Republic, 2016.
  25. Ghani, M.U., Argunsah, A.O., Israely, I., Unay, D., Tasdizen, T., Cetin, M.,”On Comparison of Manifold Learning Techniques for Dendritic Spine Classification”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Prague – Czech Republic, 2016.
  26. Ghani, M.U., Mesadi, F., Kanik, S.D., Argunsah, A.O., Israely, I., Unay, D., Tasdizen, T., Cetin, M.,”Dendritic Spine Shape Analysis using Disjunctive Normal Shape Models”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Prague – Czech Republic, 2016.
  27. Iheme, L.O., Kandemir, M., Yalciner, Z.B., Unay, D., “A Call for Automation, Standardization and Consistency in White Matter Hyperintensity Visual Grading”, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Mugla – Turkey, 2015.
  28. Gökay, G., Kandemir, M., Tepe, M.S., Yalçıner, B., Unay, D., “Manual and Automatic Size Measurements of Lateral Ventricles and Central Sulci and Their Compliance with Atrophy Grade”, Proc. of IEEE National Congress on Medical Technologies (TipTekno), Mugla – Turkey, 2015.
  29. Erdil, E., Argunsah, A.O., Tasdizen, T., Unay, D., Cetin, M.,”A Joint Classification and Segmentation Approach for Dendritic Spine Segmentation in 2-Photon Microscopy Images”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), New York – USA, 2015.
  30. Ghani, M.U., Kanik, S.D., Argunsah, A.O., Tasdizen, T., Unay, D., Çetin, M., “Dendritic Spine Shape Classification from Two-Photon Microscopy Images”, Proc. of IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya – Turkey, 2015.
  31. Kilic, B. Rada, L., Erdil, E., Argunsah, A.O., Unay, D., Çetin, M., “Automated Dendritic Spine Tracking on 2-Photon Microscopic Images”, Proc. of IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya – Turkey, 2015.
  32. Rada, L., Erdil, E., Argunsah, A.O., Unay, D., Çetin, M., “Automatic Dendritic Spine Detection Using Multiscale Dot Enhancement Filter and SIFT Features”, IEEE International Conference on Image Processing (ICIP), 2014, Paris.
  33. Ozden K.E., Unay D., Inan H., Kaba B., Ergun O.O. (2014) Intelligent Interactive Applications for Museum Visits. In: Ioannides M., Magnenat-Thalmann N., Fink E., Žarnić R., Yen AY., Quak E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2014. Lecture Notes in Computer Science, vol 8740.
  34. Erdil, E., Argunsah, A.O., Unay, D., Çetin, M., “SpineS: An Automatic Tool for Finding Volume Changes of Dendritic Spines in Time in 2-Photon Microscopy Images ” , 12th National Neuroscience Congress, 2014, İstanbul (Poster Presentation, in Turkish).
  35. Gökay, G., Kandemir, M., Tepe, M.S., Yalçıner, B., Unay, D., “Comparison of Cerebral Atrophy Grade with Sizes of Lateral Ventricle and Central Sulci”, Proc. of IEEE 22nd Signal Processing and Communications Applications Conference (SIU), Trabzon – Turkey, 2014.
  36. Özdemir, F.V., Fettahoğlu, A., Unay, D., “Content and Context based Similarity for Disease Diagnosis”, Proc. of IEEE 22nd Signal Processing and Communications Applications Conference (SIU), Trabzon – Turkey, 2014.
  37. Harmankaya, I., Oksuz, I., Unay, D., Kadıpasaoglu, K., “Automated Aortic Supravalvular Sinus Detection in Conventional Computed Tomography Image ”, Proc. of IEEE 21st Signal Processing and Communications Applications Conference (SIU), Girne-KKTC, 2013.
  38. Erdil, E., Argunsah, A.O., Unay, D., Cetin, M., “A Watershed and Active Contours Based Method for Dendritic Spine Segmentation in 2-Photon Microscopy Images”, Proc. of IEEE 21st Signal Processing and Communications Applications Conference (SIU), Girne-KKTC, 2013.
  39. Yagcı, A.M., Erdil, E., Argunsah, A.O., Unay, D., Cetin, M., Akarun, L., Gurgen, F., “Biomedical image time series registration with particle filtering”, Proc. of IEEE 21st Signal Processing and Communications Applications Conference (SIU), Girne-KKTC, 2013.
  40. Kocatekin, T., Unay, D., “Text Mining in Radiology Reports”, Proc. of IEEE 21st Signal Processing and Communications Applications Conference (SIU), Girne-KKTC, 2013.
  41. Iheme, LO, Başkaya, O, Şennaz, A, Tepe, MS, Kandemir, M, Kahraman, T, Yalciner, ZB, Unal, G, Unay, D, “Concordance Between Computer-based Neuroimaging Findings and Expert Assessments in Dementia Grading”, Proc. of IEEE 21st Signal Processing and Communications Applications Conference (SIU), Girne-KKTC, 2013.
  42. Oksuz, I, Unay, D., Kadipasaoglu, K., “Region Growing on Frangi Vesselness Values in 3-D CTA Data”, Proc. of IEEE 21st Signal Processing and Communications Applications Conference (SIU), Girne-KKTC, 2013.
  43. Iheme, LO, Başkaya, O, Şennaz, A, Tepe, MS, Kandemir, M, Kahraman, T, Yalciner, ZB, Unal, G, Unay, D, “Atrophy Measurement Biomarkers using Structural MRI for Alzheimer’s Disease”, Workshop on Novel Imaging Biomarkers for Alzheimer’s Disease and related disorders (NIBAD), Proc. 15th Int. Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice – France, 2012.
  44. Iheme, LO, Tepe, MS, Kandemir, M, Kahraman, T, Unal, G, Yalciner, ZB, Unay, D, “Automatic Grading of Periventricular White Matter Hyperintensities using FLAIR MRI”, Proc. 29th Annual Scientific Meeting of ESMRMB, Lisbon – Portugal, 2012.
  45. Oksuz, I, Unay, D, Kadipasaoglu, K, “A Hybrid Method for Coronary Artery Stenosis Detection and Quantification in CTA Images”, Workshop on 3D Cardiovascular Imagin: A MICCAI Segmentation Challenge , Proc. 15th Int. Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nice – France, 2012.
  46. Erdil, E, Yagci, AM, Argunsah, AO, Ramiro-Cortes, Y, Hobbiss, AF, Israely, I, Unay, D, “A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation”, Proc. International Conference on Image Processing Theory, Tools and Applications (IPTA), Istanbul – Turkey, 2012.
  47. Akarsu, C, Argunsah, AO, Ramiro-Cortes, Y, Hobbiss, AF, Israely, I, Unay, D, “Dendritic spine segmentation using active contour with shape prior”, Proc. MASFOR, Istanbul – Turkey, 2012.
  48. Oksuz, I, Unay, D, Kadipasaoglu, K, “Segmentation of lung vessel tree in 3-D CTA data”, Proc. MASFOR, Istanbul – Turkey, 2012.
  49. Başkaya, O, Kandemir, M., Tepe, M.S. Acar, M., Unal, G., Yalçıner, Z.B., Unay, D, “İnterhemisferik Atrofi ÖlçUmleri Hemisferik Kortikal Atrofi ÖlçUmleri ile Kaşılaştırıldığında Uzman Derecelendirmesi ile Daha Uyumludur”, Proc. of IEEE 20th Signal Processing and Communications Applications Conference (SIU), Mugla – Turkey, 2012.
  50. Cao, Y., Kalpathy-Cramer, J., Unay, D., “Medical Multimedia Analysis and Retrieval”, Proc. of ACM Multimedia Conference (MM’11), 617-618, 2011.
  51. Unay, D., Ekin, A., “Dementia diagnosis using similar and dissimilar retrieval items”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 1889-1892, Philadelphia – USA, 2011.
  52. Soldea, O., Ekin, A., Soldea, D.F., Unay, D., Cetin, M., Ercil, A., Uzunbas, G.,Firat, Z., Cihangiroglu, M., “Segmentation of Anatomical Structures in Brain MR Images using Atlases in FSL – a Quantitative Approach”, Proc. International Conference on Pattern Recognition (ICPR), 2010.
  53. Harmankaya, I., Buyuk, K., Unay, D., Oguz, C.T., Acar, U., Kutluk, Y., Polat, N. Erk, S., Bayram, B., Kadıpasaoglu, K., “Four-dimensional modeling of the human heart”, Proc. 5th International Bioengineering Congress (BEC), Izmir-Turkey, 2010.
  54. Unay, D., “Augmenting Clinical Observations with Visual Features from Longitudinal MRI Data for Improved Dementia Diagnosis”, Proc. ACM SIGMM Int. Conf. Multimedia Information Retrieval (MIR), Philadelphia – USA, 2010.
  55. Fidan, K.C., Kehribar, I., Sahin, M.T., Cosar, S., Unay, D., “Air Drums: A Computer Vision Based Drum Simulator,”  Computer Science Student Workshop (CSW), Istanbul – Turkey,  2010.
  56. Unay, D., Soldea, O., Ozogur-Akyuz, S., Cetin, M., Ercil, A., “Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009”, Proc. of Cross-Language Evaluation Forum (CLEF) Workshop in conjunction with ECDL’09, Corfu – Greece, 2009.
  57. Unay, D., Soldea, O., Ekin, A., Cetin, M., Ercil, A., “Automatic Annotation of X-ray Images: A Study on Attribute Selection”, Proc. of Medical Content-based Retrieval for Clinical Decision Support (MCBR-CDS) Workshop in conjunction with MICCAI’09, London – UK, 2009.
  58. Akgul, C.B., Unay, D., Ekin, A., “Automated Diagnosis of Alzheimer’s Disease using Image Similarity and User Feedback”, Proc. of ACM International Conference on Image and Video Retrieval (CIVR), Santorini – Greece, 2009.
  59. Jeanne, V., Unay, D., Jacquet, V., “Automatic detection of body parts in x-ray images,” Proc. of IEEE Computer Vision and Pattern Recognition (CVPR) Workshops, pp.25-30, Florida – USA, 2009.
  60. Unay, D., Ekin, A., Jasinschi, R., “Tıbbi İmgelerin Yerel İkili ÖrUntUler ve KLT Özellik Noktaları ile Taranması ve Erisimi”, Proc. of IEEE 17th Signal Processing and Communications Applications Conference (SIU), Antalya – Turkey, 2009.
  61. Akgul, C.B., Unay, D., Ekin, A., “Alzheimer Hastalığının MR İmgelerinden Kullanıcı Geri Bildirimi Yoluyla Teşhis Edilmesi”, Proc. of IEEE 17th Signal Processing and Communications Applications Conference (SIU), Antalya – Turkey, 2009.
  62. Wang, J., de Haan, G., Unay, D., Ekin, A., Soldea, O., “Voxel-based discriminant map classification on brain ventricles for Alzheimer’s disease”, Proc. of Society of Photographic Instrumentation Engineers (SPIE): Medical Imaging, Florida – USA, 2009.
  63. Unay, D., Chen, X., Cetin, M., Ercil, A., Jasinschi, R., Ekin, A., “Binary and Nonbinary description of hypointensity for Search and Retrieval of Brain MR Images”, Proc. of Society of Photographic Instrumentation Engineers (SPIE): Electronic Imaging, San Jose – USA, 2009.
  64. Uzunbas, G., Soldea, O., Cetin, M., Unal, G., Ercil, A., Unay, D., Ekin, A., Firat, Z., “Multi-Object Segmentation using Coupled Nonparametric Shape and Relative Pose Priors”, Proc. of Society of Photographic Instrumentation Engineers (SPIE): Electronic Imaging, San Jose – USA, 2009.
  65. Uzunbas, G., Soldea, O., Cetin, M., Unal, G., Ercil, A., Unay, D., Ekin, A., Firat, Z., “Volumetric Segmentation of Multiple Basal Ganglia Structures using Nonparametric Coupled Shape and Inter-Shape Pose Priors”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Boston – USA, 2009.
  66. Uzunbas, G., Soldea, O., Cetin, M., Unal, G., Ercil, A., Unay, D., Ekin, A., Firat, Z., “ Volumetric Segmentation of Multiple Basal Ganglia Structures”, Proc. of 12th Israeli Symposium on Computer-Aided Surgery, Medical Robotics and Medical Imaging (ISRACAS), Tel-Aviv – Israel, 2009.
  67. Simmons, S.J., Unay, D., Ricanek, K., Gosselin, B., “Random Forests versus Support Vector Machines: Stem and Calyx Classification for Jonagold Apples”, Proc. of IASTED Visualization Imaging and Image Processing (VIIP), Palma de Mallorca – Spain, 2008.
  68. Unay, D., Ekin, A., Jasinschi, R., “Medical Image Search and Retrieval using Local Binary Patterns and KLT Feature Points”, Proc. of IEEE Int. Conf. Image Processing (ICIP), San Diego – USA, 2008.
  69. Unay, D., “An Industry-Academia Partnership on Analysis, Indexing and Retrieval of MR Images to Unravel Brain Iron Deposition in Basal Ganglia”, Proc. of EuroScience Open Forum – Marie Curie Action (ESOF-MC), Barcelona – Spain, 2008.
  70. Unay, D., Ekin, A., “Intensity versus Texture for Medical Image Search and Retrieval”, Proc. of International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Paris – France, 2008.
  71. Unay, D., Ekin, A., Cetin, M., Jasinschi, R., Ercil, A., “Robustness of Local Binary Patterns in Brain MR Image Analysis”, Proc. IEEE Engineering in Medicine and Biology Society Conference (IEEE-EMBC), Lyon – France, 2007.
  72. Mancas, M., Unay, D., Gosselin, B., Macq, B., “Computational Attention for Defect Localisation”, Proc. ICVS Workshop on Computational Attention & Applications (WCAA), Bielefeld – Germany, 2007.
  73. Unay, D., Gosselin, B., “Apple Defect Segmentation by Artificial Neural Networks”, Proc. of BeNeLux Conference on Artificial Intelligence (BNAIC), Namur -Belgium, 2006.
  74. Unay, D., Gosselin, B., Debeir, O., “Apple Stem and Calyx Recognition by Decision Trees”, Proc. of IASTED Visualization Imaging and Image Processing (VIIP), Palma de Mallorca – Spain, 2006.
  75. Unay, D., Gosselin, B., “Artificial Neural Network-based Segmentation and Apple Grading by Machine Vision”, Proc. of IEEE Int. Conf. Image Processing (ICIP), Genova – Italy, 2005.
  76. Unay, D., Gosselin, B., “Thresholding-based Segmentation and Apple Grading by Machine Vision”, Proc. of European Signal Proc. Conf. (EUSIPCO), Antalya -Turkey, 2005.
  77. Hammal, Z., Bozkurt, B., Couvreur, L., Unay, D., Caplier, A., Dutoit, T., “Passive versus active: vocal classification system”, Proc. of European Signal Proc. Conf. (EUSIPCO), Antalya – Turkey, 2005.
  78. Hammal, Z., Bozkurt, B., Couvreur, L., Unay, D., Caplier, A., Dutoit, T., “Classification d’Expressions Vocales Passives Versus Actives”, Proc. of the GRETSI Conference, Louvain la Neuve – Belgium, 2005.
  79. Unay, D., Gosselin, B., “Stem-end/Calyx Detection in Apple Fruits: Comparison of Feature Selection Methods and Classifiers”, Proc. of Int. Conf. Computer Vision and Graphics (ICCVG), Warsaw – Poland, 2004.
  80. Unay, D., Gosselin, B., “A Quality Sorting Method for ‘Jonagold’ Apples”, Proc. of Agricultural Engineering Conf. (AgEng), Leuven – Belgium, 2004.
  81. Unay, D., Gosselin, B., “An Approach for Recognizing Stem-end/Calyx Regions in Apple Quality Sorting”, Proc. of Advanced Concepts for Intelligent Vision Systems Conf. (ACIVS), Brussels – Belgium, 2004.
  82. Unay, D., Gosselin, B., “A Quality Grading Approach for ‘Jonagold’ Apples”, Proc. of 4th IEEE Benelux Signal Proc. Symp. (IEEE SPS), p. 93-96, Hilvarenbeek – Netherlands, 2004.
  83. Unay, D., Gosselin, B., “A Study on Quality Grading of ‘Jonagold’ Apples”, Proc. of 3rd IEEE Int. Symp. Signal Proc.Information Technol. (IEEE ISSPIT), Darmstadt – Germany, 2003.
  84. Unay, D., Gosselin, B., “Apple Defect Detection and Quality Classification with MLP-Neural Networks”, Proc. of PRORISC, Veldhoven – Netherlands, 2002.
  85. Unay, D., Ozturk, C., Stone, M., “Compressibility Analysis of the Tongue During Speech”, Proc. of 23rd IEEE-EMBS Conf., 1247, Istanbul – Turkey, 2001.
  86. Ozturk, C., Stone, M., Unay, D., Lundberg, A., McVeigh, E. R., “Real-time MR imaging with tagging for tongue motion analysis during speech,” Proc. Intl. Soc. Magnetic Resonance in Medicine, 9: 1609, Scotland – United Kingdom, 2001.
  87. Unay, D., Ozturk, C., “Real-time tagged-MRI for Tongue Motion Analysis”, Proc. of 1st National Congress of Magnetic Resonance, p.6, Izmir – Turkey, 2000.