International Journal Articles
33. S. F. Ismael, K. Kayabol, E. Aptoula, Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via a Class-aware Fourier Transform and a Fine-grained Discriminator, Digital Signal Processing, Accepted, 2024
32. S. F. Ismael, K. Kayabol, E. Aptoula, Unsupervised Domain Adaptation for the Semantic Segmentation of Remote Sensing Images via One-Shot Image-to-Image Translation, IEEE Geoscience and Remote Sensing Letters, Vol. 20, 2023
31. M. Ilteralp, S. Ariman, E. Aptoula, A Deep Multitask Semisupervised Learning Approach for Chlorophyll-a Retrieval from Remote Sensing Images, Remote Sensing, Vol. 14, No. 1, 2022 - PDF
30. E. Aptoula, S. Ariman, Hierarchical Spatial-Spectral Features for the Chlorophyll-a Estimation of Lake Balik, Turkey, IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022
29. E. Aptoula, S. Ariman, Chlorophyll-a retrieval from Sentinel-2 images using convolutional neural network regression, IEEE Geoscience and Remote Sensing Letters, Vol. 19, 2022
28. A. Salazar-Gomez, S. Parsons, E. Aptoula, P. Bosilj, Deep Regression versus Detection for Counting in Robotic Phenotyping, IEEE Robotics and Automation Letters, Vol 6, No 2, pp 2902 - 2907, April, 2021
27. D. Santana Maia, M-T. Pham, E. Aptoula, F. Guiotte, S. Lefevre, Classification of remote sensing data with morphological attribute profiles: a decade of advances, IEEE Geoscience and Remote Sensing Magazine, Vol. 9, No. 3, pp 43 - 71, September, 2021
26. M. Bozo, E. Aptoula, Z. Cataltepe, A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification, Journal of Imaging, Vol. 6, No. 8, pp 68, July, 2020 - PDF
25. M. A. Dede, E. Aptoula, Y. Genç, Can additional spectral bands be estimated from aerial color images?, Turkish Journal of Electrical Engineering and Computer Sciences, 27, pp 1696 – 1703, 2019
24. P. Bosilj, E. Aptoula, T. Duckett, G. Cielniak, Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture, Journal of Field Robotics, March, 2019
23. M. A. Dede, E. Aptoula, Y. Genc, Deep network ensembles for aerial scene classification, IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 5, pp 732 - 735, May, 2019
22. A. Tombak, I. Turkmenli, E. Aptoula, K. Kayabol, Pixel-based Classification of SAR Images using Feature Attribute Profiles, IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 4, pp 564 - 567, April, 2019
21. A. A. Davari, E. Aptoula, B. Yanikoglu, A. Maier, C. Riess, GMM-Based Synthetic Samples for Classification of Hyperspectral Images with Limited Training Data, IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 6, pp 942 - 946, June, 2018
20. M-T. Pham, S. Lefevre, E. Aptoula, Local Feature-based Attribute Profiles for Optical Remote Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 2, pp 1199 - 1212, February, 2018
19. M-T. Pham, E. Aptoula, S. Lefevre, Feature profiles from attribute filtering for classification of remote sensing images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 1, pp 249 - 256, January, 2018
18. B. Hwang, J. Ren, S. McCormack, C. Berry, I. Ben Ayed, H. C. Graber, E. Aptoula, A practical algorithm for the retrieval of floe size distribution of Arctic sea ice from high-resolution satellite Synthetic Aperture Radar imagery, Elementa, 5:38, 2017
17. M. M. Ghazi, B. Yanikoglu, E. Aptoula, Plant Identification Using Deep Neural Networks via Optimization of Transfer Learning Parameters, Neurocomputing, Vol. 235, pp 228 - 235, 2017
16. P. Bosilj, E. Aptoula, S. Lefevre, E. Kijak, Retrieval of Remote Sensing Images with Pattern Spectra Descriptors, ISPRS International Journal of Geo-Information, Special Issue: "Mathematical Morphology in Geoinformatics", Vol. 5, No. 12, 228, 2016 (Open Access)
15. E. Aptoula, M. C. Ozdemir, B. Yanikoglu, Deep Learning with Attribute Profiles for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 12, 2016
14. E. Aptoula, M. Dalla-Mura, S. Lefevre, Vector attribute profiles for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 6, pp 3208 - 3220, June, 2016
13. B. Ozkan, E. Aptoula, A. T. Heren, H. Mandaci, Optimisation of tractor semi-trailer command steering mechanism using a genetic algorithm, International Journal of Vehicle Design, Vol. 71, No.1/2/3/4, pp 258 - 278, 2016
12. E. Aptoula, Hyperspectral image classification with multi-dimensional attribute profiles, IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 10, pp 2031 – 2035, October 2015
11. B. Yanikoglu, E. Aptoula and C. Tirkaz, Automatic plant identification from photographs, Machine Vision and Applications, Vol. 25, No. 6, pp 1369 - 1383, August 2014
10. E. Aptoula, The impact of multivariate quasi-flat zones on the morphological description of hyperspectral images, International Journal of Remote Sensing, Vol. 35, No. 10, pp 3482 – 3498, May 2014
9. E. Aptoula, Remote sensing image retrieval with global morphological texture descriptors, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 5, pp 3023 – 3034, May 2014
8. E. Aptoula, Extending Morphological Covariance, Pattern Recognition, Vol. 45, No. 12, pp 4524 – 4535, December 2012
7. E. Aptoula, Comparative study of moment based parameterization for morphological texture description, Journal of Visual Communication and Image Representation, Vol. 23, No. 8, pp 1213 – 1224, November 2012
6. E. Aptoula and S. Lefèvre, Morphological description of color images for content-based retrieval, IEEE Transactions on Image Processing, Vol. 18, No. 11, pp 2505 – 2517, November 2009
5. E. Aptoula and S. Lefèvre, On the Morphological Processing of Hue, Image and Vision Computing, Vol. 27, No. 9, pp 1394 – 1401, August 2009
4. E. Aptoula, S. Lefèvre and Ch. Ronse, A Hit-Or-Miss Transform for Multivariate Images, Pattern Recognition Letters, Vol. 30, No. 8, pp 760 – 764, June 2009
3. E. Aptoula and S. Lefèvre, Alpha-trimmed lexicographical extrema for pseudo morphological image analysis, Journal of Visual Communication and Image Representation, Vol. 19, No. 3, pp 165 – 174, April 2008
2. E. Aptoula and S. Lefèvre, On lexicographical ordering in Multivariate Mathematical Morphology, Pattern Recognition Letters, Vol. 29, No. 2, pp 109 – 118, January 2008
1. E. Aptoula and S. Lefèvre, A Comparative Study on Multivariate Mathematical Morphology, Pattern Recognition, Vol. 40, No. 11, pp 2914 – 2929, November 2007
International Conference Papers
38. E. Durakli, E. Aptoula, P. Bosilj, C. Fox, A domain generalized mask r-cnn for building instance segmentation, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July, 2024
37. F. Gul, E. Aptoula, A distance transform based loss function for the semantic segmentation of very high resolution remote sensing images, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July, 2024
36. I. Turkmenli, K. Kayabol, E. Aptoula, A Smoothing Layer for SAR image Semantic Segmentation with fully convolutional networks, Joint Urban Remote Sensing Event, Heraklion, Greece, May, 2023
35. D. E. Turan, E. Aptoula, A. Erturk, G. Taskin, Interpreting hyperspectral remote sensing image classification methods via explainable artificial intelligence, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Pasadena (California), USA, July, 2023
34. K. Seemakurthy, P. Bosilj, E. Aptoula, C. Fox, Domain Generalised Fully Convolutional One Stage Detection, IEEE International Conference on Robotics and Automation (ICRA), London, UK, 2023
33. K. Seemakurthy, C. Fox, E. Aptoula, P. Bosilj, Domain generalised Faster R-CNN, The 37th AAAI Conference on Artificial Intelligence, Washington DC, USA, 2023 - PDF
32. H. K. Teloglu, E. Aptoula, A morphological-long short term memory network applied to crop classification, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, Malaysia, July, 2022
31. S. F. Ismael, E. Aptoula, K. Kayabol, A joint semantic segmentation loss function for imbalanced datasets, IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), Virtual Symposium, March, 2022
30. I. Turkmenli, E. Aptoula, K. Kayabol, Superpixel based graph convolutional neural network for SAR image segmentation, SPIE Image and Signal Processing for Remote Sensing XXVII Conference, Online, September, 2021
29. A. Salazar-Gomez, S. Parsons, E. Aptoula, P. Bosilj, Deep Regression versus Detection for Counting in Robotic Phenotyping, IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, May, 2021
28. M. Ilteralp and E. Aptoula, Processing Attribute Profiles As Scale-Series for Remote Sensing Image Classification, International Conference on Computer Vision Theory and Applications (VISAPP), Online, February, 2021
27. U. Derbashi and E. Aptoula, Attribute profiles without thresholds through histogram based tree path description, IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), Tunis, Tunisia, March 2020
26. S. Atito, B. Yanikoglu, E. Aptoula, I Ganiyusufoglu, A. Yildiz, K. Yildirir, B. Sevilmis and M. U. Sen, Plant Identification with Deep Learning Ensembles, In CLEF working notes, Avignon, France, September 2018
25. Ş. Güner Koç and E. Aptoula, Attribute Profiles Without Thresholds, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, July 2018
24. M-T. Pham, E. Aptoula, S. Lefèvre, Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, July 2018
23. M-T. Pham, S. Lefèvre, E. Aptoula, L. Bruzzone, Recent Developments from Attribute Profiles for Remote Sensing Image Classification, International Conference on Pattern Recognition and Artificial Intelligence, Montreal, Canada, May 2018
22. S. Atito, B. Yanikoglu, E. Aptoula, Plant Identification with Large Number of Species: SabanciU-GebzeTU System in PlantCLEF 2017, In CLEF working notes, Dublin, Ireland, September 2017
21. M.-T. Pham, S. Lefèvre, E. Aptoula, B. B. Damodaran, Classification of VHR remote sensing images using local feature-based attribute profiles, IEEE Geoscience and Remote Sensing Symposium (IGARSS), Texas, USA, July 2017
20. P. Bosilj, B. B. Damodaran, E. Aptoula, M. Dalla Mura, S. Lefèvre, Attribute Profiles from Partitioning Trees, International Symposium on Mathematical Morphology (ISMM), Paris, France, May 2017
19. E. Aptoula, M.-T. Pham, S. Lefèvre, Quasi-flat zones for angular data simplification, International Symposium on Mathematical Morphology (ISMM), Paris, France, May 2017
18. M. M. Ghazi, B. Yanikoglu, Erchan Aptoula, Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks, In CLEF working notes, Evora, Portugal, September 2016
17. S. Lefèvre and E. Aptoula, Morphological tools for spatial and multiscale analysis of passive microwave remote sensing data, Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), Espoo, Finland, 2016
16. P. Bosilj, E. Aptoula, S. Lefèvre and E. Kijak, Satellite Image Retrieval with Pattern Spectra Descriptors, In Image Information Mining Conference, Bucharest, Romania, October 2015
15. M. M. Ghazi, B. Yanikoglu, Erchan Aptoula, O. Muslu and M. C. Ozdemir, Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition, In CLEF working notes, Toulouse, France, September 2015
14. E. Aptoula, N. Courty and S. Lefèvre, An end-member based ordering relation for the morphological description of hyperspectral images, IEEE International Conference on Image Processing (ICIP), Paris, France, October, 2014
13. B. Yanikoglu, S. T. Yildiran, C. Tirkaz and E. Aptoula, Sabanci-Okan System in 2014 LifeCLEF Plant Identification Competition, In CLEF working notes, Sheffield, UK, September 2014
12. E. Aptoula, Bag of morphological words for content-based geographical retrieval, 12th International Workshop on Content-Based Multimedia Indexing, Klagenfurt, Austria, June, 2014
11. E. Aptoula, B. Yanikoglu, Morphological features for leaf based plant recognition, IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, September, 2013
10. B. Yanikoglu, E. Aptoula and S. T. Yildiran, Sabanci-Okan System at ImageClef 2013, In CLEF working notes, Valencia, Spain, September 2013
9. E. Aptoula, J. Weber and S. Lefèvre, Vectorial quasi-flat zones for color image simplification, International Symposium on Mathematical Morphology (ISMM), Vol. 7883 (LNCS), pp 231 – 242, Uppsala, Sweden, May 2013
8. B. Yanikoglu, E. Aptoula and C. Tirkaz, Sabanci-Okan System at ImageClef 2012: Combining Features and Classifiers for Plant Identification, In CLEF working notes, Rome, Italy, September 2012
7. B. Yanikoglu, E. Aptoula and C. Tirkaz, Sabanci-Okan System at ImageClef 2011: Plant identification task, In CLEF working notes, Amsterdam, The Netherlands, September 2011
6. N. Courty, E. Aptoula and S. Lefèvre, A Classwise Supervised Ordering Approach for Morphology Based Hyperspectral Image Classification, International Conference on Pattern Recognition (ICPR), pp 1997 – 2000, Tsukuba, Japan, November 2012
5. E. Aptoula and S. Lefèvre, A Basin Morphology Approach to Colour Image Segmentation by Region Merging, Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Sciences, Vol. 4843, pp 935 – 944, Tokyo, Japan, November 2007
4. E. Aptoula and S. Lefèvre, On Morphological Color Texture Characterization, International Symposium on Mathematical Morphology (ISMM), pp 153 – 164, Rio de Janeiro, Brazil, October 2007
3. E. Aptoula and S. Lefèvre, Pseudo Multivariate Morphological Operators based on alpha trimmed lexicographical extrema, International Symposium on Image and Signal Processing and Analysis, pp 367 – 372, Istanbul, Turkey, September 2007
2. E. Aptoula and S. Lefèvre, Spatial Morphological Covariance Applied to Texture Classification, International Workshop on Multimedia Content Representation, Classification and Security, Lecture notes in Computer Sciences, Vol. 4105, pp 522 – 529, Istanbul, Turkey, September 2006
1. E. Aptoula, S. Lefèvre and C. Collet, Mathematical Morphology Applied to the Segmentation and Classification of Galaxies in Multi-spectral Images, European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006
International Book Chapters
4. G. Taskin, E. Aptoula, A. Erturk, Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities, arXiv:2311.04491 [cs.AI], 2023 [PDF]
3. S. Lefèvre, E. Aptoula, B. Perret and J. Weber, Morphological Template Matching in Color Images, Advances in Low-Level Color Image Processing, E. Celebi and B. Smolka (eds), Springer, 2013
2. E. Aptoula and S. Lefèvre, Morphological texture description of grayscale and color images, Advances in Imaging and Electron Physics, Peter Hawkes (ed), Vol. 169, pp 1 – 74, Burlington, Academic Press, 2011
1. E. Aptoula and S. Lefèvre, Multivariate mathematical morphology applied to color image analysis, J. Chanussot, K. Chehdi and C. Collet (eds), pp 303 – 337, Hermès-Wiley, 2009
National Conference Papers
33. Sarmad F. Ismael, Koray Kayabol, Erchan Aptoula, Two-level Alignment-based Unsupervised Domain Adaptation for Semantic Segmentation of Remote Sensing Images, Akıllı Sistemlerde Yenilikler ve Uygulamalar Konferansı (ASYU), Sivas, Türkiye, October, 2023
32. E. Durakli, E. Aptoula, Domain generalized object detection for remote sensing images, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
31. I. Sahin, A. Erturk, E. Aptoula, Band-based intepretability with SHAP for hyperspectral classification, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
30. C. Haldiz, S. Ismael, H. Celebi, E. Aptoula, Crowd counting via joint SASNet and a guided batch normalization network, 31. IEEE Signal Processing and Communication Applications Conference, Istanbul, Türkiye, July, 2023
29. S. I. Aydi and E. Aptoula, Image quality assessment based on sparse neighbour significance, IEEE Innovations in Intelligent Systems and Applications Conference (ASYU), Antalya, Türkiye, September, 2022
28. I. Turkmenli, E. Aptoula, K. Kayabol, Group Equivariant U-Net for the Semantic Segmentation of SAR Images, 30. IEEE Signal Processing and Communication Applications Conference, Safranbolu, Türkiye, May, 2022
27. U. Derbashi, E. Aptoula, Scale-Spectral-Spatial Attention Network for Hyperspectral Image Classification, 30. IEEE Signal Processing and Communication Applications Conference, Safranbolu, Türkiye, May, 2022
26. E. Aptoula, U. Usta, B. Celikcapraz, Real-time night-time vehicle detection and tracking system for glare-free high beams, 10th International Automotive Technologies Congress (OTEKON), pp. 51 - 56, Bursa, Türkiye, September, 2021
25. S. Y. Ozleyen, E. Aptoula, Crowd Counting with Distribution Matching and Dilated Networks, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021
24. S. Ekinci, E. Aptoula, Weed and Crop Classification with Domain Adaptation for Precision Agriculture, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021
23. H. K. Teloglu, E. Aptoula, LSTM AutoEncoders Applied to Semi-Supervised Crop Classification, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021
22. F. Kizilirmak, E. Aptoula, Crop Classification from Multi-Temporal and Multi-spectral Remote Sensing Images, 29. IEEE Signal Processing and Communication Applications Conference, Online, June, 2021
21. S. A. A. Ahmed, B. Yanikoglu, O. Goksu, E. Aptoula, Skin lesion classification with deep CNN ensembles, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020
20. I. Turkmenli, E. Aptoula, K. Kayabol, Land cover classification of PolSAR images using semantic segmentation networks, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020
19. E. Aptoula, F. Kahraman, G. Ozbulak, S. Aydemir, M. Imamoglu, A. M. Sofu, I. Yilmaz, Segmentation networks reinforced with attribute profiles for large scale land-cover map production, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020
18. M. S. Aydemir, A. N. Keyik, F. Kahraman, E. Aptoula, Land cover map production of the Sakarya basin from multi-temporal satellite images, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020
17. I. Yilmaz, M. Imamoglu, G. Ozbulak, F. Kahraman, E. Aptoula, Large scale crop classification from multi-temporal and multi-spectral satellite images, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020
16. A. M. Sofu, M. Imamoglu, F. Kahraman, G. B, Cetin, E. Aptoula, Fine grained urban land-use and land-cover classification through multi-temporal and multi-spectral images, 28. IEEE Signal Processing and Communication Applications Conference, Gaziantep, Türkiye, October 2020
15. İ. Türkmenli, K. Kayabol, E. Aptoula, SAR Görüntülerinde Anlambilimsel Sınıflandırılma Algoritmalarının Karşılaştırılması, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018
14. A. Tombak, E. Aptoula, K. Kayabol, SAR İmgelerinin Öznitelikler Kullanılarak Piksel Tabanlı Sınıflandırılması, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018
13. E. Öztavlı and E. Aptoula, Effect of Early and Late Fusion on Heart Sound Classification, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018
12. Ö. Göksu and E. Aptoula, Content Based Image Retrieval of Remote Sensing Images Based on Deep Features, 26. IEEE Signal Processing and Communication Applications Conference, İzmir, Türkiye, May 2018
11. Ş. Güner Koç and E. Aptoula, Hyperspectral image classification with convolutional networks trained with self-dual attribute profiles, 25. IEEE Signal Processing and Communication Applications Conference, Antalya, Türkiye, May 2017
10. Ş. Güner Koç, E. Aptoula, P. Bosilj, B. B. Damodaran, M. Dalla Mura and S. Lefevre, A comparative noise robustness study of tree representations for attribute profile construction, 25. IEEE Signal Processing and Communication Applications Conference, Antalya, Türkiye, May 2017
9. M. C. Özdemir, E. Aptoula and B. Yanikoglu, İkili bölüntü ağaçları ile meyve tespiti, 24. IEEE Signal Processing and Communication Applications Conference, Zonguldak, Türkiye, May 2016
8. A. A. Davari, B. Yanikoglu and E. Aptoula, Yapay biçimbilimsel özniteliklerin hiperspektral görüntü sınıflandırma basarımının üzerindeki etkisi, 23. IEEE Signal Processing and Communication Applications Conference, Malatya, Türkiye, May 2015
7. B. Özkan, E. Aptoula, T. Heren, H. Mandancı and C. Can, Minimization Of Tire Wear For Tractor Semi-trailers With Command Steering, Otomotiv Teknolojileri Kongresi, Bursa, Türkiye, May 2014
6. S. T. Yildiran, B. Yanikoglu and E. Aptoula, Yerel Değişkenlerle Bitki tanıma, 22. IEEE Signal Processing and Communication Applications Conference, Trabzon, Türkiye, April 2014
5. E. Aptoula, N. Courty and S. Lefevre, Matematiksel Biçimbilim ile Dokubilimsel Meme Kanseri Görüntülerinde Mitoz Algılama, 21. IEEE Signal Processing and Communication Applications Conference, Girne, Turkish Republic of Northern Cyprus, April 2013
4. S. Sisneloğlu and E. Aptoula, Matematiksel Biçimbilim ile Çevrim-dışı İmza Tanıma, Yazılım Kongresi, Bursa, 2013
3. E. Aptoula and S. Korkmaz, Uzaktan algılanmış görüntülerin biçimbilimsel doku betimleyicileri ile erişimi, 21. IEEE Signal Processing and Communication Applications Conference, Girne, Turkish Republic of Northern Cyrpus, April 2013
2. S. Korkmaz and E. Aptoula, Genişletilmiş Biçimbilimsel Ortak Değişinti, 20. IEEE Signal Processing and Communication Applications Conference, Fethiye, Türkiye, April 2012
1. E. Aptoula and S. Lefèvre, Pseudo-Opérateurs morphologiques multivariés basés sur les extrema lexicographiques alpha tronqués, Congrès Francophone ORASIS de Vision par Ordinateur, Obernai, France, June 2007
Thesis and Dissertations
2. E. Aptoula, Morphological color image analysis applied to content-based image description, annotation and retrieval, PhD Thesis, Louis Pasteur University - Strasbourg I, Strasbourg, France, July 2008
1. E. Aptoula, Mathematical morphology and the segmentation of astronomical images, MSc. Thesis, Louis Pasteur University - Strasbourg I, Strasbourg, France, June 2005