Rengül Çetin-Atalay

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 21

Top Topics

Interactive Visualization

Blind Deconvolution

Top Venues

Medical Imaging: Digital Pathology

Publications

Mona Shojaei, Navid Mohammadvand, Tunca Dogan, Can Alkan, Rengül Çetin-Atalay, Aybar C. Acar
An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data. Comput. Biol. Medicine 169 (2024)
Alperen Dalkiran, Ahmet Atakan, Ahmet Süreyya Rifaioglu, Maria Jesus Martin, Rengül Çetin-Atalay, Aybar C. Acar, Tunca Dogan, Volkan Atalay
Transfer learning for drug-target interaction prediction. Bioinform. 39 (Supplement-1) (2023)
Umut Çinar, Rengül Çetin-Atalay, Yasemin Yardimci Çetin
Human Hepatocellular Carcinoma Classification from H&E Stained Histopathology Images with 3D Convolutional Neural Networks and Focal Loss Function. J. Imaging 9 (2) (2023)
Gökhan Özsari, Ahmet Süreyya Rifaioglu, Ahmet Atakan, Tunca Dogan, Maria Jesus Martin, Rengül Çetin-Atalay, Volkan Atalay
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins. Bioinform. 38 (17) (2022)
Ahmet Süreyya Rifaioglu, Rengül Çetin-Atalay, Deniz Cansen Kahraman, Tunca Dogan, Maria Jesus Martin, Volkan Atalay
MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery. Bioinform. 37 (5) (2021)
Tunca Dogan, Ece Akhan Güzelcan, Marcus Baumann, Altay Koyas, Heval Atas, Ian R. Baxendale, Maria Jesus Martin, Rengül Çetin-Atalay
Protein domain-based prediction of drug/compound-target interactions and experimental validation on LIM kinases. PLoS Comput. Biol. 17 (11) (2021)
Ataberk Donmez, Ahmet Süreyya Rifaioglu, Aybar C. Acar, Tunca Dogan, Rengül Çetin-Atalay, Volkan Atalay, Wren Jonathan
iBioProVis: interactive visualization and analysis of compound bioactivity space. Bioinform. 36 (14) (2020)
Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir
: A multi-task deep regression model for cell detection in inverted microscopy images. Medical Image Anal. 63 (2020)
Ataberk Donmez, Ahmet Süreyya Rifaioglu, Aybar C. Acar, Tunca Dogan, Rengül Çetin-Atalay, Volkan Atalay
iBioProVis: interactive visualization and analysis of compound bioactivity space. Bioinform. 36 (17) (2020)
Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images. CoRR (2019)
H. Seckin Demir, A. Enis Çetin, Rengül Çetin-Atalay
A visual object tracking benchmark for cell motility in time-lapse imaging. Signal Image Video Process. 13 (6) (2019)
Ahmet Süreyya Rifaioglu, Heval Atas, Maria Jesus Martin, Rengül Çetin-Atalay, Volkan Atalay, Tunca Dogan
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases. Briefings Bioinform. 20 (5) (2019)
Asli Türe, Deniz Cansen Kahraman, Rengül Çetin-Atalay, Sinem Helvacioglu, Mohammad Charehsaz, Ilkay Küçükgüzel
Synthesis, anticancer activity, toxicity evaluation and molecular docking studies of novel phenylaminopyrimidine - (thio)urea hybrids as potential kinase inhibitors. Comput. Biol. Chem. 78 (2019)
Hasan Fehmi Danaci, Rengül Çetin-Atalay, Volkan Atalay
EClerize: A customized force-directed graph drawing algorithm for biological graphs with EC attributes. J. Bioinform. Comput. Biol. 16 (4) (2018)
Serdar Çakir, Deniz Cansen Kahraman, Rengül Çetin-Atalay, A. Enis Çetin
Contrast Enhancement of Microscopy Images Using Image Phase Information. IEEE Access 6 (2018)
Alperen Dalkiran, Ahmet Süreyya Rifaioglu, Maria Jesus Martin, Rengül Çetin-Atalay, Volkan Atalay, Tunca Dogan
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature. BMC Bioinform. 19 (1) (2018)
Oguzhan Oguz, A. Enis Çetin, Rengül Çetin-Atalay
Classification of Hematoxylin and Eosin Images Using Local Binary Patterns and 1-D SIFT Algorithm. IWCIM@EUSIPCO (2017)
Wolfgang Aichinger, Sebastian Krappe, A. Enis Çetin, Rengül Çetin-Atalay, Aysegül Üner, Michaela Benz, Thomas Wittenberg, Marc Stamminger, Christian Münzenmayer
Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution. Medical Imaging: Digital Pathology (2017)
Mohammad Tofighi, Onur Yorulmaz, Kivanç Köse, Deniz Cansen Yildirim, Rengül Çetin-Atalay, A. Enis Çetin
Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images. IEEE J. Sel. Top. Signal Process. 10 (1) (2016)
Umut Çinar, Yasemin Yardimci Çetin, Rengül Çetin-Atalay, A. Enis Çetin
Classification of human carcinoma cells using multispectral imagery. Medical Imaging: Digital Pathology (2016)
Oguzhan Oguz, Cem Emre Akbas, Maen Mallah, Kasim Tasdemir, Ece Akhan Güzelcan, Christian Münzenmayer, Thomas Wittenberg, Aysegül Üner, A. Enis Çetin, Rengül Çetin-Atalay
Mixture of learners for cancer stem cell detection using CD13 and H and E stained images. Medical Imaging: Digital Pathology (2016)
Onur Yorulmaz, Oguzhan Oguz, Ece Akhan, Donus Tuncel, Rengül Çetin-Atalay, A. Enis Çetin
Multi-resolution super-pixels and their applications on fluorescent mesenchymal stem cells images using 1-D SIFT merging. ICIP (2015)
Onur Yorulmaz, Oguzhan Oguz, Ece Akhan, Donus Tuncel, Rengül Çetin-Atalay, A. Enis Çetin
Wavelet merged multi-resolution super-pixels and their applications on fluorescent MSC images. SIU (2015)
Cem Emre Akbas, Alican Bozkurt, A. Enis Çetin, Rengül Çetin-Atalay, Aysegul Uner
Multiplication-free Neural Networks. SIU (2015)
Oguzhan Oguz, Christian Münzenmayer, Thomas Wittenberg, Aysegul Uner, A. Enis Çetin, Rengül Çetin-Atalay
Detection of Cancer Stem Cells in microscopic images by using region covariance and codifference method. IWCIM (2015)
Michelle Hussain, Benjamin Stutchbury, Kun Tian, Rengül Çetin-Atalay, Jean-Marc Schwartz, Marija Krstic-Demonacos
Applications of p53 interactome analysis to personalised drug discovery. IWBBIO (2014)
Ayse Gul Yaman, Aybar C. Acar, Volkan Atalay, Rengül Çetin-Atalay
Discriminative Modeling of Cell Signaling as Bayesian Networks. IWBBIO (2014)
Can Fahrettin Koyuncu, Irem Durmaz, Rengül Çetin-Atalay, Cigdem Gunduz Demir
A supervised learning model for live cell segmentation. SIU (2014)
Alexander Suhre, Furkan Keskin, Tulin Ersahin, Rengül Çetin-Atalay, Rashid Ansari, A. Enis Çetin
A multiplication-free framework for signal processing and applications in biomedical image analysis. ICASSP (2013)
Salim Arslan, Tulin Ersahin, Rengül Çetin-Atalay, Cigdem Gunduz Demir
Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images. IEEE Trans. Medical Imaging 32 (6) (2013)
Furkan Keskin, Alexander Suhre, Tulin Ersahin, Rengül Çetin-Atalay, A. Enis Çetin
Carcinoma cell line discrimination in microscopic images using unbalanced wavelets. CISS (2012)
Furkan Keskin, A. Enis Çetin, Tulin Ersahin, Rengül Çetin-Atalay
Microscopic image classification via ℂWT-based covariance descriptors using Kullback-Leibler distance. ISCAS (2012)
Alexander Suhre, Tulin Ersahin, Rengül Çetin-Atalay, A. Enis Çetin
Microscopic image classification using sparsity in a transform domain and Bayesian learning. EUSIPCO (2011)
Haseong Kim, Rengül Çetin-Atalay, Erol Gelenbe
G-Network Modelling Based Abnormal Pathway Detection in Gene Regulatory Networks. ISCIS (2011)
Levent Çarkacioglu, Rengül Çetin-Atalay, Özlen Konu, Volkan Atalay, Tolga Can
Bi-k-bi clustering: mining large scale gene expression data using two-level biclustering. Int. J. Data Min. Bioinform. 4 (6) (2010)
Zerrin Isik, Volkan Atalay, Cevdet Aykanat, Rengül Çetin-Atalay
Data and Model Driven Hybrid Approach to Activity Scoring of Cyclic Pathways. ISCIS (2010)
Zerrin Isik, Volkan Atalay, Rengül Çetin-Atalay
Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data. MLSB (2010)
Ömer Sinan Saraç, Özge Gürsoy-Yüzügüllü, Rengül Çetin-Atalay, Volkan Atalay
Subsequence-based feature map for protein function classification. Comput. Biol. Chem. 32 (2) (2008)
Volkan Atalay, Rengül Çetin-Atalay
Implicit motif distribution based hybrid computational kernel for sequence classification. Bioinform. 21 (8) (2005)
Emek Demir, Ozgun Babur, Ugur Dogrusöz, Attila Gürsoy, A. Ayaz, Gürcan Gülesir, Gurkan Nisanci, Rengül Çetin-Atalay
An ontology for collaborative construction and analysis of cellular pathways. Bioinform. 20 (3) (2004)
A. Kocatas, Attila Gürsoy, Rengül Çetin-Atalay
Application of Data Mining Techniques to Protein-Protein Interaction Prediction. ISCIS (2003)
Mert Özarar, Volkan Atalay, Rengül Çetin-Atalay
Prediction of Protein Subcellular Localization Based on Primary Sequence Data. ISCIS (2003)
Emek Demir, Ozgun Babur, Ugur Dogrusöz, Attila Gürsoy, Gurkan Nisanci, Rengül Çetin-Atalay, Mehmet Ozturk
PATIKA: an integrated visual environment for collaborative construction and analysis of cellular pathways. Bioinform. 18 (7) (2002)