Özkan U. Nalbantoglu

Orcid: 0000-0002-2278-7786

According to our database1, Özkan U. Nalbantoglu authored at least 22 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Disrobiom: A novel approach to discover robust biomarkers from gut microbiome datasets with deep-learning algorithms.
Biomed. Signal Process. Control., 2025

2024
Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review.
Neural Comput. Appl., April, 2024

Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate.
Turkish J. Electr. Eng. Comput. Sci., 2024

A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification.
Appl. Intell., 2024

2023
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms.
Turkish J. Electr. Eng. Comput. Sci., November, 2023

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., July, 2023

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., June, 2023

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., May, 2023

2022
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets.
Comput. Biol. Medicine, 2022

A new lightweight convolutional neural network for radiation-induced liver disease classification.
Biomed. Signal Process. Control., 2022

2021
Information Theoretic Metagenome Assembly Allows the Discovery of Disease Biomarkers in Human Microbiome.
Entropy, 2021

Taxonomic classification of metagenomic sequences from Relative Abundance Index profiles using deep learning.
Biomed. Signal Process. Control., 2021

2020
Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods.
CoRR, 2020

A comprehensive review of deep learning in colon cancer.
Comput. Biol. Medicine, 2020

2019
MIMOSA: Algorithms for Microbial Profiling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2017
A phylogeny-free microbiome dysbiosis detection pipeline for non-invasive disease diagnosis.
Proceedings of the IEEE International Conference on Electro Information Technology, 2017

2015
Compression of Next Generation Sequencing Data.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Compression of Quality Factors in Next Generation Sequencing.
Proceedings of the Data Compression Conference, 2014

Data Compression.
Proceedings of the Computing Handbook, 2014

2011
Computational Genomic Signatures
Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01650-9, 2011

RAIphy: Phylogenetic classification of metagenomics samples using iterative refinement of relative abundance index profiles.
BMC Bioinform., 2011

2010
Data Compression Concepts and Algorithms and Their Applications to Bioinformatics.
Entropy, 2010


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