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Coşku Öksüz

Observed names: COŞKU ÖKSÜZ, Cosku Oksuz, ÖKSÜZ, COŞKU, Öksüz, Coşku
ORCID: 0000-0001-7116-2734
Observed ORCID: 0000-0001-7116-2734
OpenAlex ID: A5004703886
Brain tumor classification using the fused features extracted from expanded tumor region
2021 · Coşku Öksüz, Oğuzhan Urhan, et al. · Biomedical Signal Processing and Control · 97
An integrated convolutional neural network with attention guidance for improved performance of medical image classification
2023 · Coşku Öksüz, Oğuzhan Urhan, et al. · Neural Computing and Applications · 24
Ensemble-CVDNet: A Deep Learning based End-to-End Classification Framework for COVID-19 Detection using Ensembles of Networks
2020 · Öksüz, Coşku, Urhan, Oğuzhan, et al. · arXiv (Cornell University) · 13
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Brain Tumor Localization Using Yolo v2
2020 · Cosku Oksuz, M. Kemal Gullu · Signal Processing and Communications Applications Conference (SIU) · 9
Ensemble-LungMaskNet: Automated Lung Segmentation using Ensembled Deep Encoders
2021 · Cosku Oksuz, Oguzhan Urhan, et al. · International Conference on Innovations in Intelligent Systems and Applications (INISTA) · 7
COVID‐19 detection with severity level analysis using the deep features, and wrapper‐based selection of ranked features
2021 · Coşku Öksüz, Oğuzhan Urhan, et al. · Concurrency and Computation Practice and Experience · 6
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Deep Feature Extraction Based Fine-Tuning
2020 · Coşku Öksüz, M. Kemal Güllü · Signal Processing and Communications Applications Conference (SIU) · 5
I2IReg–ClfNet: a cascaded multi-task deep learning framework for ROI-aware kidney stone detection in abdominal CT images
2026 · Coşku Öksüz, Artun Narter, et al. · Biomedical Signal Processing and Control · 3
A Hybrid CNN Framework for Kidney Stone Detection Using Transfer Learning and Feature Fusion
2025 · Coşku Öksüz, Artun Narter, et al. · European Signal Processing Conference (EUSIPCO) · 3
Prospective pilot evaluation of a deep learning model for kidney stone detection on CT using a web-based workflow platform
2026 · Coşku Öksüz · International Urology and Nephrology · 2
Slice-Level Classification of Kidney Organ Presence Using CNN–ViT Features: Toward Clinical Pre-Screening
2025 · Coşku Öksüz · Journal of Polytechnic · 2
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A Lightweight Deep Model for Brain Tumor Segmentation
2021 · Cosku Oksuz, Oguzhan Urhan, et al. · Signal Processing and Communications Applications Conference (SIU) · 2
CT-Derived Radiomic Features for the Non-Invasive Differentiation of Mediastinal Lymphadenopathy in Lung Cancer and Sarcoidosis
2026 · Demet Doğan, Coşku Öksüz, et al. · Biomedicines · 1
Differentiation of benign and malignant parotid gland tumors using T2-weighted MRI–based radiomics: the role of feature selection and dimensionality reduction
2026 · Özgür Çakır, Coşku Öksüz, et al. · Oral Surgery Oral Medicine Oral Pathology and Oral Radiology · 1
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CT-Based Radiomic Signatures Associated with Serum CEA Status in Colon Cancer
2026 · Demet Doğan, Coşku Öksüz, et al. · Diagnostics · 1
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KidneyStoneTR: A Patient-Level Split Abdominal CT Dataset for Kidney Stone Detection
2026 · ÖKSÜZ, COŞKU · Figshare · 1
Adaptive local thresholding based number plate detection
2015 · Cosku Oksuz, M. Kemal Gullu · Signal Processing and Communications Applications Conference (SIU) · 1
An Ensemble Deep Learning Framework for Deepfake Video Detection Using ResNet Models
2026 · Ömer Talha Kaya, Coşku Öksüz, et al. · Kocaeli Journal of Science and Engineering
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Radiomic Signatures of Smoking in Visually Normal Lung Parenchyma: Bilateral CT Analysis Using Machine Learning
2026 · Demet Doğan, Coşku Öksüz, et al. · Journal of Imaging Informatics in Medicine
Efficient and explainable pneumoconiosis screening from chest radiographs using a task-optimized CNN
2026 · Coşku Öksüz, Şule Efe · Pamukkale University Journal of Engineering Sciences
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Optimized Stacking Ensemble of Deep Time-Series Models for Day-Ahead Distributed Energy Forecasting
2026 · Sabri Bereket, Coşku Öksüz · International Artificial Intelligence and Data Processing Symposium (IDAP)
Lightweight Ensemble Deep Learning–Based Device Identification for LoRa RF Fingerprinting in IoT Networks
2026 · Fesih Tan, Coşku Öksüz · Signal Processing and Communications Applications Conference (SIU)
KidneyStoneTR-Seg: A Pixel-wise Kidney Segmentation Dataset for Abdominal CT Images
2026 · ÖKSÜZ, COŞKU · Figshare
Disagreement-Guided Knowledge Distillation for Efficient Kidney Segmentation in Abdominal CT
2026 · Coşku Öksüz · Applied Sciences
Federated learning-based IoMT networks for improved performance of smart health
2026 · Coşku Öksüz, Mehmet SAĞBAŞ · Elsevier eBooks
Works count: 32
Citation count: 178
H-index: 6
I10-index: 3
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