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ORCIDRengül Çetin-Atalay
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- affiliation: Bilkent University, Ankara, Turkey
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2020 – today
- 2024
[j22]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: 107810 (2024)- 2023
- [j21]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): 103-110 (2023) - [j20]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): 25 (2023) - 2022
- [j19]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): 4226-4229 (2022) - 2021
- [j18]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): 693-704 (2021) - [j17]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) - 2020
- [j16]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): 4227-4230 (2020) - [j15]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): 4674 (2020) - [j14]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. Medical Image Anal. 63: 101720 (2020)
2010 – 2019
- 2019
- [j13]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): 1878-1912 (2019) - [j12]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: 227-241 (2019) - [j11]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): 1063-1070 (2019) - [i1]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 abs/1908.11211 (2019) - 2018
- [j10]Serdar Çakir, Deniz Cansen Kahraman, Rengül Çetin-Atalay, A. Enis Çetin:
Contrast Enhancement of Microscopy Images Using Image Phase Information. IEEE Access 6: 3839-3850 (2018) - [j9]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): 334:1-334:13 (2018) - [j8]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): 1850007:1-1850007:12 (2018) - 2017
- [c20]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: 94 - [c19]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: 101400N - 2016
- [j7]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): 81-91 (2016) - [c18]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: 97910Y - [c17]Umut Çinar, Yasemin Yardimci Çetin, Rengül Çetin-Atalay, A. Enis Çetin:
Classification of human carcinoma cells using multispectral imagery. Medical Imaging: Digital Pathology 2016: 97911C - 2015
- [c16]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: 2495-2499 - [c15]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: 1-5 - [c14]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: 1901-1904 - [c13]Cem Emre Akbas, Alican Bozkurt, A. Enis Çetin, Rengül Çetin-Atalay, Aysegul Uner:
Multiplication-free Neural Networks. SIU 2015: 2416-2418 - 2014
- [c12]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: 192-203 - [c11]Ayse Gul Yaman, Aybar C. Acar, Volkan Atalay, Rengül Çetin-Atalay:
Discriminative Modeling of Cell Signaling as Bayesian Networks. IWBBIO 2014: 1617 - [c10]Can Fahrettin Koyuncu, Irem Durmaz, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
A supervised learning model for live cell segmentation. SIU 2014: 1971-1974 - 2013
- [j6]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): 1121-1131 (2013) - [c9]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: 1123-1127 - 2012
- [c8]Furkan Keskin, Alexander Suhre, Tulin Ersahin, Rengül Çetin-Atalay, A. Enis Çetin:
Carcinoma cell line discrimination in microscopic images using unbalanced wavelets. CISS 2012: 1-6 - [c7]Furkan Keskin, A. Enis Çetin, Tulin Ersahin, Rengül Çetin-Atalay:
Microscopic image classification via ℂWT-based covariance descriptors using Kullback-Leibler distance. ISCAS 2012: 2079-2082 - 2011
- [c6]Alexander Suhre, Tulin Ersahin, Rengül Çetin-Atalay, A. Enis Çetin:
Microscopic image classification using sparsity in a transform domain and Bayesian learning. EUSIPCO 2011: 1005-1009 - [c5]Haseong Kim, Rengül Çetin-Atalay, Erol Gelenbe:
G-Network Modelling Based Abnormal Pathway Detection in Gene Regulatory Networks. ISCIS 2011: 257-263 - 2010
- [j5]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): 701-721 (2010) - [c4]Zerrin Isik, Volkan Atalay, Cevdet Aykanat, Rengül Çetin-Atalay:
Data and Model Driven Hybrid Approach to Activity Scoring of Cyclic Pathways. ISCIS 2010: 91-94 - [c3]Zerrin Isik, Volkan Atalay, Rengül Çetin-Atalay:
Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data. MLSB 2010: 44-54
2000 – 2009
- 2008
- [j4]Ömer Sinan Saraç, Özge Gürsoy-Yüzügüllü, Rengül Çetin-Atalay, Volkan Atalay:
Subsequence-based feature map for protein function classification. Comput. Biol. Chem. 32(2): 122-130 (2008) - 2005
- [j3]Volkan Atalay, Rengül Çetin-Atalay:
Implicit motif distribution based hybrid computational kernel for sequence classification. Bioinform. 21(8): 1429-1436 (2005) - 2004
- [j2]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): 349-356 (2004) - 2003
- [c2]A. Kocatas, Attila Gürsoy, Rengül Çetin-Atalay:
Application of Data Mining Techniques to Protein-Protein Interaction Prediction. ISCIS 2003: 316-323 - [c1]Mert Özarar, Volkan Atalay, Rengül Çetin-Atalay:
Prediction of Protein Subcellular Localization Based on Primary Sequence Data. ISCIS 2003: 611-618 - 2002
- [j1]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): 996-1003 (2002)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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