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Mehmet Simsar

As seen in: Nature, Applied Radiology
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Articles

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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CT-Like Images from MRI: A Comprehensive Review of the Zero-Echo-Time Sequence

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By Yesim Yekta Yuruk, Mehmet Simsar, Yeliz Pekcevik
| Applied Radiology Verified
Review ArticleSupplementBody ImagingMSK Imaging Published Date: February 1, 2025 By Yesim Yekta Yuruk, MD; Mehmet Simsar, MD; Yeliz Pekcevik, MD MRI is a noninvasive imaging modality that provides excellent soft-tissue contrast and high resolution of anatomic detail in the body structures without ionizing radiation.1, 2 Despite these advantages, conventional MRI sequences are not as successful as CT in depicting the bone cortex and calcified structures owing to these structures’ low proton...
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