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2020 – today
- 2025
[j16]U. Gülfem Elgün Çiftcioglu
, Özkan Ufuk Nalbantoglu:
Disrobiom: A novel approach to discover robust biomarkers from gut microbiome datasets with deep-learning algorithms. Biomed. Signal Process. Control. 100: 106935 (2025)- 2024
- [j15]Meryem Altin Karagöz, Özkan Ufuk Nalbantoglu:
A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification. Appl. Intell. 54(4): 3448-3463 (2024) - [j14]Meryem Altin Karagöz, Özkan Ufuk Nalbantoglu, Dervis Karaboga, Bahriye Akay, Alper Bastürk, Halil Ulutabanca, Serap Dogan, Damla Coskun, Osman Demir:
Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate. Turkish J. Electr. Eng. Comput. Sci. 32(3): 382-402 (2024) - [j13]Mohammed Lubbad, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan U. Nalbantoglu, Ishak Paçal:
Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review. Neural Comput. Appl. 36(12): 6355-6379 (2024) - 2023
- [j12]Ahmet Karaman, Dervis Karaboga, Ishak Paçal, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin:
Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection. Appl. Intell. 53(12): 15603-15620 (2023) - [j11]Damla Coskun, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Serap Dogan, Ishak Paçal, Meryem Altin Karagöz:
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms. Turkish J. Electr. Eng. Comput. Sci. 31(7): 1294-1313 (2023) - [j10]Ahmet Karaman, Ishak Paçal, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin, Dervis Karaboga:
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC). Expert Syst. Appl. 221: 119741 (2023) - [j9]Meryem Altin Karagöz, Bahriye Akay, Alper Bastürk, Dervis Karaboga, Özkan U. Nalbantoglu:
An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images. Neural Comput. Appl. 35(14): 10605-10619 (2023) - 2022
- [j8]Demet Alici-Karaca, Bahriye Akay, Arzu Yay, Pinar Suna, Özkan Ufuk Nalbantoglu, Dervis Karaboga, Alper Bastürk, Esra Balcioglu, Munevver Baran:
A new lightweight convolutional neural network for radiation-induced liver disease classification. Biomed. Signal Process. Control. 73: 103463 (2022) - [j7]Ishak Paçal, Ahmet Karaman, Dervis Karaboga, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun:
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. Comput. Biol. Medicine 141: 105031 (2022) - 2021
- [j6]Meryem Altin Karagöz, Özkan Ufuk Nalbantoglu:
Taxonomic classification of metagenomic sequences from Relative Abundance Index profiles using deep learning. Biomed. Signal Process. Control. 67: 102539 (2021) - [j5]Özkan Ufuk Nalbantoglu:
Information Theoretic Metagenome Assembly Allows the Discovery of Disease Biomarkers in Human Microbiome. Entropy 23(2): 187 (2021) - 2020
- [j4]Ishak Paçal, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu:
A comprehensive review of deep learning in colon cancer. Comput. Biol. Medicine 126: 104003 (2020) - [i1]Hilal Hacilar, Özkan Ufuk Nalbantoglu, Oya Aran, Burcu Bakir-Gungor:
Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods. CoRR abs/2001.03019 (2020)
2010 – 2019
- 2019
- [j3]Özkan U. Nalbantoglu, Khalid Sayood:
MIMOSA: Algorithms for Microbial Profiling. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 2023-2034 (2019) - 2017
- [c3]Özkan Ufuk Nalbantoglu, A. Emre Onuk:
A phylogeny-free microbiome dysbiosis detection pipeline for non-invasive disease diagnosis. EIT 2017: 125-128 - 2015
- [c2]Özkan U. Nalbantoglu, A. Riffle, Khalid Sayood:
Compression of Next Generation Sequencing Data. DCC 2015: 464 - 2014
- [c1]Özkan U. Nalbantoglu, Khalid Sayood:
Compression of Quality Factors in Next Generation Sequencing. DCC 2014: 419 - [p1]Özkan Ufuk Nalbantoglu, Khalid Sayood:
Data Compression. Computing Handbook, 3rd ed. (1) 2014: 48: 1-35 - 2011
- [b1]Özkan U. Nalbantoglu, Khalid Sayood:
Computational Genomic Signatures. Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00522-0 - [j2]Özkan U. Nalbantoglu, Samuel F. Way, Steven H. Hinrichs, Khalid Sayood:
RAIphy: Phylogenetic classification of metagenomics samples using iterative refinement of relative abundance index profiles. BMC Bioinform. 12: 41 (2011) - 2010
- [j1]Özkan U. Nalbantoglu, David J. Russell, Khalid Sayood:
Data Compression Concepts and Algorithms and Their Applications to Bioinformatics. Entropy 12(1): 34-52 (2010)
Coauthor Index
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