Home

Ertunç Erdil

ertuncerdil [at] sabanciuniv.edu

Sabancı University

Faculty of Engineering and Natural Sciences

CV

Google Scholar Profile

GitHub

Education:

Ph.D., Sabancı University, 2017
M.S., Bahçeşehir University, 2011
B.S., Ege University, 2009

Research Interests:

  • Statistical machine learning
  • Statistical signal and image processing
  • Deep learning
  • Monte Carlo methods
  • Computer vision, image analysis, and pattern recognition
  • Biomedical Information processing
  • Data Mining

Work Experience:

ARM Ltd., Loughborough, UK
Senior Researcher, (2017 – present)

SABANCI UNIVERSITY, ISTANBUL
Research Assistant, (2012 – 2017)

BAHCESEHIR UNIVERSITY, ISTANBUL
Research Assistant, (2009 – 2012)

Publications:

Journal papers:

  • Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Mujdat Cetin, “Pseudo-marginal MCMC Sampling for Image Segmentation using Nonparametric Shape Priors”, IEEE Transactions on Image Processing, 2019.

  • Lavdie Rada, Bike Kilic, Ertunc Erdil, Yazmin Ramiro-Cortes, Inbal Israely, Devrim Unay, Mujdat Cetin, A. Ozgur Argunsah, “Tracking-assisted Detection of Dendritic Spines in Time Lapse Microscopic Images”, Neuroscience, 2018.

  • Fitsum Mesadi, Ertunc Erdil, Mujdat Cetin, Tolga Tasdizen, “Image Segmentation Using Disjunctive Normal Shape and Appearance Priors”, IEEE Transactions on Medical Imaging, 2018.

  • Ertunc Erdil, M. Usman Ghani, Lavdie Rada, A. Özgür Argunşah, Devrim Ünay, Tolga Taşdizen and Müjdat Çetin, “Nonparametric Joint Shape and Feature Priors for Image Segmentation”, IEEE Transactions on Image Processing 2017. [code]

  • Selim Mimaroglu, Ertunc Erdil, “An Efficient and Scalable Family of Algorithms for Combining Clusterings”, Engineering Applications of Artificial Intelligence, Elsevier 2013.

  • Selim Mimaroglu, Ertunc Erdil, “ASOD: Arbitrary Shape Object Detection”, Engineering Applications of Artificial Intelligence, Elsevier 2011.

  • Selim Mimaroglu, Ertunc Erdil, “Combining Multiple Clusterings Using Similarity Graph”, Pattern Recognition, Elsevier 2011.

  • Selim Mimaroglu, Ertunc Erdil, “Obtaining Better Quality Final Clustering by Merging a Collection of Clusterings”, Bioinformatics, Oxford Journals 2010.

Conference papers:

  • Ertunc Erdil, A. Ozgur Argunsah, Tolga Tasdizen, Devrim Unay and Müjdat Çetin, “Combining Nonparametric Spatial Context Priors with Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images”, IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice.

  • Ertunc Erdil, Sinan Yıldırım, Tolga Tasdizen, and Müjdat Çetin, “Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors”, Neural Information Processing Systems (NIPS), Advances in Approximate Bayesian Inference Workshop, 2017, Long Beach.

  • Selçuk Keskin, Ertunc Erdil, and Taşkın Koçak, “An efficient parallel implementation of 3D-FFT on GPU”, IEEE High Performance Extreme Computing Conference, 2017, Waltham.

  • Erdem Bocugoz, Ertunc Erdil, A. Ozgur Argunsah, Devrim Unay, and Müjdat Çetin, “3D Dendritic Spine Segmentation using Nonparametric Shape Priors”, IEEE Conference on Signal Processing, Communications, and their Applications, 2017, Antalya (in Turkish).

  • O. Berk Satir, İpek Baz, Ertunc Erdil, and Müjdat Çetin, “On Comparison of Different Classification Techniques for the Fine-Grained Retail Product Recognition Problem”, IEEE Conference on Signal Processing, Communications, and their Applications, 2017, Antalya (in Turkish).

  • Navdar Karabulut, Ertunc Erdil, and Müjdat Çetin, “A Markov Chain Monte Carlo based Rigid Image Registration Method”, IEEE Conference on Signal Processing, Communications, and their Applications, 2017, Antalya (in Turkish).

  • Naeimeh Atabaki, Ertunc Erdil, A. Ozgur Argunsah, Lavdie Rada, Devrim Unay, and Müjdat Çetin, “Coupled Shape Priors for Dynamic Segmentation of Dendritic Spines”, IEEE Conference on Signal Processing, Communications, and their Applications, International Workshop on Machine Learning for Understanding the Brain, 2017.

  • Ertunc Erdil, Fitsum Mesadi, Tolga Tasdizen, Mujdat Cetin, “Disjunctive Normal Shape Boltzmann Machine”, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans. [code]

  • M. Usman Ghani, Ertunc Erdil, Sumeyra D. Kanik, A. Ozgur Argunsah, Anna F. Hobbiss, Inbal Israely, Devrim Unay, Tolga Tasdizen, Mujdat Cetin, “Dendritic Spine Shape Analysis: A Clustering Perspective”, BioImage Computing Workshop of European Conference on Computer Vision (ECCV), 2016, Amsterdam.

  • Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Mujdat Cetin, “MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors”, Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas. [code]

  • Ertunc Erdil, Lavdie Rada, A. Ozgur Argunsah, Inbal Israely, Tolga Tasdizen, Devrim Unay, Mujdat Cetin, “Nonparametric Joint Shape and Feature Priors for Segmentation of Dendritic Spines”, IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague.

  • Ertunc Erdil, A. Ozgur Argunsah, Tolga Tasdizen, Devrim Unay, Mujdat Cetin, “A Joint Classification and Segmentation Approach For Dendritic Spine Segmentation in 2-Photon Microscopy Images”, IEEE International Symposium on Biomedical Imaging, ISBI 2015, New York.

  • Bike Kılıç, Lavdie Rada, Ertunç Erdil, A. Özgür Argunşah, Müjdat Çetin, Devrim Ünay, “Automated Dendritic Spine Tracking on 2-Photon Microscopic Images”, IEEE 23st International Conference on Signal Processing, Communications Applications, 2015, Malatya (in Turkish).

  • Lavdie Rada, Ertunc Erdil, A. Ozgur Argunsah, Devrim Unay, Mujdat Cetin, “Automatic Dendritic Spine Detection Using Multiscale Dot Enhancement Filter and SIFT Features”, IEEE International Conference on Image Processing, ICIP 2014, Paris.

  • Ertunc Erdil, A. Ozgur Argunsah, Devrim Ünay, Mujdat Cetin, “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).

  • A. Murat Yagcı, Ertunc Erdil, A. Ozgur Argunsah, Devrim Unay, Mujdat Cetin, Lale Akarun, Fikret Gurgen, “Biomedical Image Time Series Registration with Particle Filtering”, IEEE 21st International conference on Signal Processing, Communications Applications, 2013, Girne (in Turkish).

  • Ertunc Erdil, A. Ozgur Argunsah, Devrim Unay, Mujdat Cetin, “A Watershed and Active Contours Based Method for Dendritic Spine Segmentation in 2-Photon Microscopy Images”, IEEE 21st International conference on Signal Processing, Communications Applications, 2013, Girne (in Turkish).

  • Ertunc Erdil, A. Murat Yagci, A. Ozgur Argunsah, Yazmin Ramiro-Cortez, Anna F. Hobbiss, Inbal Israely, Devrim Unay, “A Tool for Automatic Dendritic Spine Detection and Analysis. Part 1: Dendritic Spine Detection Using Multi-Level Region-Based Segmentation”, IEEE 3rd International conference on Image Processing Theory, Tools and Applications, 2012, IPTA.

  • Selim Mimaroğlu, Çağrı Çubukçu, M. Emin Akşehirli, Ertunç Erdil, “Mining Frequent Item Sets Efficiently Using Compression Techniques”, 7th International Conference on Data Mining, DMIN’11, Las Vegas,2011.