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Dr. Öğr. Üyesi Lavdie Rada Ülgen

Bahçeşehir Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi

Biyomedikal Mühendisliği Bölümü

MAKALELER

  1. I.Hussain, H. Ali, M. Khan, S. Niu, L. Rada; A Robust Region-Based Active Contour Model Via Local Statistical Similarity and Local Similarity Factor for Intensity Inhomogeneity and High Noise Image Segmentation . accepted by Inverse Prob. Imaging
  2. A. Rahman, H. Ali, N. Badshah, L. Rada, M. Zakarya, H. Hussain, A. Khan, and M. Haleem, A Selective Segmentation Model using Dual-level Set Functions and Local Spatial Distance, in IEEE Access, doi: 10.1109/ACCESS.2022.3152785.
  3. L. Rada, Infinite perimeter selective segmentation model . Natural and Applied Sciences Journal , 4 (2), 32-37 (2021) . DOI: 10.38061/idunas.932338
  4. A. Ademaj, L. Rada, M. Ibrahim, K. Chen, A Variational Joint Segmentation And Registration Framework For Multimodal Images, Journal of Algorithms & Computational Technology, vol. 14, 2020, DOI:10.1177/1748302620966691
  5. A. Haider, Sh. Faisal, K. Chen, L. Rada, Image Selective Segmentation Model for Multi-Regions within the Object of Interest with Application to Medical Disease , The Visual Computer,2020, DOI: 10.1007/s00371-020-01845-1.
  6. H. Ali , A.Shujjahuddin, L. Rada. A new active contours image segmentation model driven by generalized mean with outlier restoration achievements. International Journal of Pattern Recognition and Artificial Intelligence, vol. 34, no. 11, pp. 2054026, 2020, DOI: https://doi.org/10.1142/S0218001420540269.
  7. H. Ali , A. Sher , M. Saeed , L. Rada. Active contour image segmentation model with de-hazing constraints, in IET Image Processing, vol. 14, no. 5, pp. 921-928, 17 4 2020, doi: 10.1049/iet-ipr.2018.5987.
  8. H. Ali, A. Sher, N. ZIKRIA, and L. Rada, A joint image dehazing and segmentation model, Turkish Journal of Electrical Engineering & Computer Sciences, Vol 27, pp 1652-1666, 2019.
  9. B. Ghanbari, M. Inc and L. Rada, Some New Solitary Wave Solutions to the Tzitzeica Type Equations Obtained by a New Efficient Approach, Journal of Applied Analysis and Computation, Vol 9(2), pp 568-589, DOI:10.11948/2156-907X.20180103.
  10. L. Rada, B. Kilic, E. Erdil, Y. Ramiro-Cortes, Inbal Israely, Devrim Unay, M. Cetin, and A. O. Argunsah, Tracking-assisted Detection of Dendritic Spines in Time Lapse Microscopic Images, Neuroscience, Vol 394, pp 189-205, doi=10.1016/j.neuroscience.2018.10.022.
  11. H. Ali, L. Rada and N. Badshah, Image Segmentation for Intensity Inhomogeneity in Presence of High Noise, IEEE Transactions on Image Processing, Vol 27 (8),pp 3729-3738 (2018), doi=10.1109/TIP.2018.2825101.
  12. E. Erdil and M. U. Ghani and L. Rada and A. O. Argunsah and D. Unay and T. Tasdizen and M. Cetin, Nonparametric Joint Shape and Feature Priors for Image Segmentation, IEEE Transactions on Image Processing, Vol PP(99),pp 1-1 (2017), doi=10.1109/TIP.2017.2728185.
  13. M. Ibrahim, L. Rada, K. Chen, An Improved model for Joint Segmentation and Registration Based on Linear curvature Smoother , JACT, Vol 0(0), pp 1-11 (2016), DOI 10.1177/1748301816668027.
  14. Y. Zhao, L. Rada, K. Chen, S. Harding, Y. Zheng, Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retina Images , IEEE Transaction on Medical Imaging, Vol 34(9), pp 1797-1807 (2015), DOI 10.1109TMI.2015.2409024.
  15. L. Rada and K. Chen, A variational method and its numerical solution for local, selective and automatic segmentation, Numerical Algorithms, Vol 66 (2), pp 399-430 (2014), DOI 10.1007/s11075-013-9741-8.
  16. B. Ghanbari, L. Rada and K. Chen, A restarted iterative homotopy analysis method for two nonlinear models from image processing, International Journal of Computer Mathematics, Vol. 9 (3), pp. 661-687 (2014), DOI:10.1080/00207160.2013.807340.
  17. L. Rada and K. Chen, Improved selective segmentation model using one level-set, Journal of Algorithms and Computational Technology, Vol.7(4), pp. 509-540 (2013), DOI: 10.1260/1748-3018.7.4.509.
  18. L. Rada and K. Chen, On a variational model for selective image segmentation of features with infinite perimeter, Journal of Mathematical Research with Applications, Vol. 33(3), pp. 253-272 (2013), DOI:10.3770/j.issn:2095-2651.2013.03.001
  19. L. Rada and K. Chen, A new variational model with dual level set functions for selective segmentation, Communications in Computational Physics (CiCP), Vol 12(1), pp.261-283 (2012), DOI:10.1007/s11075-013-9741-8.

KONFERANS BİLDİRİLERİ

  1. L. Rada, Yusuf Baran Tanrıverdi, Ömer Ekmel Kara and Elizabeth M. Hemond and Ulaş Tezel(2022). Toward automatic water pollution analysis: A machine learning approach for water-quality monitoring through pattern classification of water crystallization. Accepted by ISICS 2022
  2. Masum Shah Junayed, Afsana Ahsan Jeny, L. Rada, and Md Baharul Islam, An Efficient Expert System for Automated Skin Cancer Detection. Accepted by ISICS 2022
  3. M. Ibrahim, L. Rada, A. Ademaj,and K. Chen (2020). Non-rigid Joint Segmentation and Registration Using Variational Approach for Multi-modal Images. Progress in Intelligent Decision Science: Proceeding of IDS 2020 editor: Tofigh Allahviranloo, Soheil Salahshour, Nafiz Arica.
  4. B. M. Williams, B. Ghanbari, K. Chen, and L. Rada (2020). A Fast Discrete Homotopy Solution Method for Two Problems in Image Deconvolution. Progress in Intelligent Decision Science: Proceeding of IDS 2020 editor: Tofigh Allahviranloo, Soheil Salahshour, Nafiz Arica
  5. A. Ademaj, L.Rada, M. Ibrahim, K. Chen (2020) A Variational Joint Segmentation And Registration Framework For Multimodal Images. In: MIUA 2019, 23rd Conference on Medical Image Understanding and Analysis. Communications in Computer and Information Science, 1065 CCIS, pp. 305-316.
  6. Rada L., Ali H., Khan H.N.A. (2018) A Selective Segmentation Model for Inhomogeneous Images. In: Brito-Loeza C., Espinosa-Romero A. (eds) Intelligent Computing Systems. ISICS 2018. Communications in Computer and Information Science, vol 820. Springer, Cham.
  7. N. Atabakilachini, E. Erdil, A. O. Argunsah, L. Rada, D. Unay and M. Cetin, "Coupled shape priors for dynamic segmentation of dendritic spines," 2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya, 2017, pp. 1-4. doi: 10.1109/SIU.2017.7960599
  8. E. Erdil, L. Rada, A. O. Argunsah, I. Israely, D. Ünay, T. Tasdizen and M.Çetin. Nonparametric joint shape and feature priors for segmentation of dendritic spines. The 2016 International Symposium on Biomedical Imaging Conference.
  9. L. Rada, M. Ibrahim and K. Chen. An Improved Model for Joint Segmentation and Registration Based on Linear Curvature Smoother, 8th International Conference “Inverse Problems: Modeling and Simulation” held on May 23-28, 2016, Öludeniz-Fethiye, Turkey.
  10. E. Erdil, L. Rada, A. Ozgur Argunsah, I. Israely, D. Unay, T. Tasdizen, M. Cetin. Nonparametric Joint Shape And Feature Priors For Segmentation Of Dendritic Spines, 2016 IEEE International Symposium on Biomedical Imaging
  11. B. Kilic, L. Rada, E. Erdil, A. Ozgur Argunsah, Mujdat Cetin, Devrim Unay, Automated Dendritic Spine Tracking on 2-Photon Microscopic Images (2-Foton Mikroskopi Goruntulerinde Otomatik Dendritik Diken Takibi), Signal Processing and Communications Applications Conference (SIU), IEEE publisher, 2015 23th, Malatia, Turkiye, DOI: 10.1109/SIU.2015.7130222.
  12. L. Rada, E. Erdil, A. Ozgur Argunsah, D. Unay, and M. Cetin. Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features, in Image Processing (ICIP), 2014 IEEE International Conference on, pp.26-30, 2014, DOI: 10.1109/ICIP.2014.7025004.
  13. L. Rada and K. Chen and B. Ghanbari, A restarted iterative homotopy analysis method for three-dimensional image segmentation, In: Djemal, K. and Deriche, M. ed(s). Proceedings of Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on, pp. 178-185 (2012), IEEE, DOI: 10.1109/IPTA.2012.6469561
  14. L. Rada and K. Chen, Improved selective segmentation model using one level-set, EGH2012 Workshop on Applied and Numerical Mathematics, Greenwich (UK), June 7th -8th, 2012, DOI: 10.1260/1748-3018.7.4.509.
  15. L. Rada and K. Chen, A Variational Infinite Perimeter Model for Image Selective Segmentation, SIAM Conference on Imaging Science (IS12), Philadelphia (USA), May 19th-23rd, 2012, CP7, pp.57 (abstract).
  16. L. Rada and K. Chen, A Novel Segmentation Algorithm For Gliomas Measurements, Conference of the British-Neuro-Oncology-Society (BNOS), Vol 14 (2), pp. 9-9, Meeting Abstract 61, SEP 2012, Manchester, Uk.
  17. L. Rada and K. Chen, Selective segmentation and its application in tumour volume measurement, Brain Tumour North West 5th Annual Retreat, Preston(UK), December 8th, 2011.
  18. L. Rada and K. Chen, Selective Segmentation in Image Processing, MAGIC Postgraduate Conference, Reading (UK), January 12th-14th, 2011.

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