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Mehmet Özdemir

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Articles

Trade wars and gold market volatility: evidence from the world trade uncertainty index

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By Mehmet Özdemir
| Taylor & Francis Online
Advanced search Applied Economics Letters Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/13504851.2026.2701285?needAccess=true ABSTRACT This study investigates the impact of elevated trade policy, driven by trade wars, on gold market volatility within a GARCH-MIDAS framework.
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ETNeXt: integrated feature engineering and classification framework for BLDC motor fault detection - Scientific Reports

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By Burak Can Çelik, Ayhan Akbal, Mehmet Özdemir, Ezgi Taskin
| Nature Verified
Abstract Brushless DC (BLDC) motors are widely used in industrial and automotive systems due to their high efficiency, low maintenance requirements, and compact structure. However, they are vulnerable to various electrical and mechanical faults, such as bearing wear and rotor imbalance, which can lead to unexpected downtimes. To address this issue, this study proposes ETNeXt, a lightweight, self-organizing fault detection framework based on acoustic signal analysis.
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Generalist foundation models from a multimodal dataset for 3D computed tomography - Nature Biomedical Engineering

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By Sezgin Er, Chenyu Wang, Furkan Almas, Sevval Nil Esirgun, Irem Dogan, Benjamin Hou, Suprosanna Shit, Weicheng Dai, Murong Xu, Muhammed Furkan Dasdelen, Bastian Wittmann, Enis Simsar, Mehmet Simsar, Berkan Lafci, Ahmet Kaplan, Zhiyong Lu, Malgorzata Polacin, Bernhard Kainz, Christian Bluethgen, Kayhan Batmanghelich, Mehmet Özdemir, Bjoern Menze, Ibrahim Ethem Hamamci, Ayse Gulnihan Simsek, Omer Faruk Durugol, Hadrien Reynaud, Tamaz Amiranashvili, Emine Bensu Erdemir, Abdullah Alanbay, Anjany Sekuboyina
| Nature Verified
Abstract Advancements in medical imaging AI, particularly in 3D imaging, have been limited due to the scarcity of comprehensive datasets. We introduce CT-RATE, a public dataset that pairs 3D medical images with corresponding textual reports. CT-RATE comprises 25,692 non-contrast 3D chest CT scans from 21,304 unique patients. Each scan is accompanied by its corresponding radiology report.
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