Rengül Çetin-Atalay

发表

Multi-resolution super-pixels and their applications on fluorescent mesenchymal stem cells images using 1-D SIFT merging

A. Enis Çetin, Onur Yorulmaz, Oguzhan Oguz, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Detection of Cancer Stem Cells in microscopic images by using region covariance and codifference method

A. Enis Çetin, Christian Münzenmayer, Oguzhan Oguz, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

EClerize: A customized force-directed graph drawing algorithm for biological graphs with EC attributes

Rengül Çetin-Atalay, Hasan Fehmi Danaci, Volkan Atalay, 2018, J. Bioinform. Comput. Biol..

Discriminative Modeling of Cell Signaling as Bayesian Networks

Rengül Çetin-Atalay, Volkan Atalay, Ayse Gul Yaman, 2014, IWBBIO.

A multiplication-free framework for signal processing and applications in biomedical image analysis

A. Enis Çetin, Rashid Ansari, Rengül Çetin-Atalay, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A supervised learning model for live cell segmentation

Can Fahrettin Koyuncu, Cigdem Demir, Rengül Çetin-Atalay, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

A visual object tracking benchmark for cell motility in time-lapse imaging

A. Enis Çetin, Rengül Çetin-Atalay, H. Seckin Demir, 2019, Signal Image Video Process..

Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images

A. Enis Çetin, Onur Yorulmaz, Rengül Çetin-Atalay, 2015, IEEE Journal of Selected Topics in Signal Processing.

iBioProVis: interactive visualization and analysis of compound bioactivity space

Rengül Çetin-Atalay, Volkan Atalay, Aybar C. Acar, 2020, Bioinform..

Applications of p53 interactome analysis to personalised drug discovery

Rengül Çetin-Atalay, Jean-Marc Schwartz, Kun Tian, 2014, IWBBIO.

Classification of human carcinoma cells using multispectral imagery

A. Enis Çetin, Yasemin Yardimci, Rengül Çetin-Atalay, 2016, SPIE Medical Imaging.

Application of data mining techniques to protein-protein interaction prediction

Rengül Çetin-Atalay, Attila Gürsoy, A. Kocatas, 2003 .

Prediction of protein subcellular localization based on primary sequence data

Rengül Çetin-Atalay, Volkan Atalay, Mert Özarar, 2003, Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, 2004..

PATIKA: an integrated visual environment for collaborative construction and analysis of cellular pathways

Emek Demir, Ozgun Babur, Rengül Çetin-Atalay, 2002, Bioinform..

G-Network Modelling Based Abnormal Pathway Detection in Gene Regulatory Networks

Haseong Kim, Erol Gelenbe, Rengül Çetin-Atalay, 2011, ISCIS.

Wavelet merged multi-resolution super-pixels and their applications on fluorescent MSC images

A. Enis Çetin, Onur Yorulmaz, Ece Akhan, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images

Can Fahrettin Koyuncu, Cigdem Demir, Rengül Çetin-Atalay, 2019, Medical Image Anal..

Microscopic image classification via ℂWT-based covariance descriptors using Kullback-Leibler distance

A. Enis Çetin, Rengül Çetin-Atalay, Tulin Ersahin, 2012, 2012 IEEE International Symposium on Circuits and Systems.

Multiplication free neural network for cancer stem cell detection in H-and-E stained liver images

A. Enis Çetin, Ece Akhan, Rengül Çetin-Atalay, 2017, Commercial + Scientific Sensing and Imaging.

Implicit motif distribution based hybrid computational kernel for sequence classification

Rengül Çetin-Atalay, Volkan Atalay, R. Cetin-Atalay, 2005, Bioinform..

Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images

Cigdem Demir, Rengül Çetin-Atalay, Tulin Ersahin, 2013, IEEE Transactions on Medical Imaging.

Subsequence-based feature map for protein function classification

Rengül Çetin-Atalay, Volkan Atalay, Ömer Sinan Saraç, 2008, Comput. Biol. Chem..

Classification of Hematoxylin and Eosin Images Using Local Binary Patterns and 1-D SIFT Algorithm

A. Enis Çetin, Oguzhan Oguz, Rengül Çetin-Atalay, 2017, IWCIM@EUSIPCO.

Data and Model Driven Hybrid Approach to Activity Scoring of Cyclic Pathways

Cevdet Aykanat, Rengül Çetin-Atalay, Volkan Atalay, 2010, ISCIS.

ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

Maria Jesus Martin, Rengül Çetin-Atalay, Volkan Atalay, 2018, BMC Bioinformatics.

Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data

Rengül Çetin-Atalay, Volkan Atalay, Zerrin Isik, 2009, MLSB.

Synthesis, anticancer activity, toxicity evaluation and molecular docking studies of novel phenylaminopyrimidine - (thio)urea hybrids as potential kinase inhibitors

Rengül Çetin-Atalay, Deniz Cansen Kahraman, Asli Türe, 2019, Comput. Biol. Chem..

Mixture of learners for cancer stem cell detection using CD13 and H and E stained images

A. Enis Çetin, Christian Münzenmayer, Kasim Tasdemir, 2016, SPIE Medical Imaging.

Carcinoma cell line discrimination in microscopic images using unbalanced wavelets

Rengül Çetin-Atalay, Tulin Ersahin, Furkan Keskin, 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution

A. Enis Çetin, Christian Münzenmayer, Marc Stamminger, 2017, Medical Imaging.

Microscopic image classification using sparsity in a transform domain and Bayesian learning

A. Enis Çetin, Rengül Çetin-Atalay, Tulin Ersahin, 2011, 2011 19th European Signal Processing Conference.

Bi-k-bi clustering: mining large scale gene expression data using two-level biclustering

Tolga Can, Rengül Çetin-Atalay, Volkan Atalay, 2010, Int. J. Data Min. Bioinform..