Zobrazeno 1 - 10
of 18 279
pro vyhledávání: '"A. Çolak"'
Autor:
Rudie, Jeffrey D., Lin, Hui-Ming, Ball, Robyn L., Jalal, Sabeena, Prevedello, Luciano M., Nicolaou, Savvas, Marinelli, Brett S., Flanders, Adam E., Magudia, Kirti, Shih, George, Davis, Melissa A., Mongan, John, Chang, Peter D., Berger, Ferco H., Hermans, Sebastiaan, Law, Meng, Richards, Tyler, Grunz, Jan-Peter, Kunz, Andreas Steven, Mathur, Shobhit, Galea-Soler, Sandro, Chung, Andrew D., Afat, Saif, Kuo, Chin-Chi, Aweidah, Layal, Campos, Ana Villanueva, Somasundaram, Arjuna, Tijmes, Felipe Antonio Sanchez, Jantarangkoon, Attaporn, Bittencourt, Leonardo Kayat, Brassil, Michael, Hajjami, Ayoub El, Dogan, Hakan, Becircic, Muris, Bharatkumar, Agrahara G., Farina, Eduardo Moreno Júdice de Mattos, Group, Dataset Curator, Group, Dataset Contributor, Group, Dataset Annotator, Colak, Errol
The RSNA Abdominal Traumatic Injury CT (RATIC) dataset is the largest publicly available collection of adult abdominal CT studies annotated for traumatic injuries. This dataset includes 4,274 studies from 23 institutions across 14 countries. The data
Externí odkaz:
http://arxiv.org/abs/2405.19595
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Jul 01. 28(7), 71-82.
Externí odkaz:
https://www.jstor.org/stable/27321559
Autor:
Ahmet Omma, Fatma Erden, Seda Yürümez Çolak, Sevinç Can Sandıkçı, Tülay Omma, İsmail Kasım, Adem Özkara, Abdülsamet Erden
Publikováno v:
Ulusal Romatoloji Dergisi, Vol 16, Iss 3, Pp 90-96 (2024)
Objective: The aim of this study was to evaluate the relationship between cardiovascular risk scores and the visceral adiposity index (VAI) in patients with psoriatic disease (PsD). Methods: A total of 101 PsD patients meeting psoriatic arthritis (C
Externí odkaz:
https://doaj.org/article/ff50f509818b4714a4d027b2c971e920
Autor:
Ezgi Değerli, İlkay Gültürk, Rumeysa Çolak, Caner Kapar, Ayşe Gül Satman Durmaz, Esra Turan Canbaz, Mahmut Said Değerli, Mesut Yılmaz
Publikováno v:
İstanbul Medical Journal, Vol 25, Iss 4, Pp 336-340 (2024)
Introduction: Adjuvant chemotherapy, particularly oral capecitabine, is often considered for stage 2 colon cancer despite its controversial use in elderly patients with comorbidities. This study aimed to assess the toxicity, tolerability, and surviva
Externí odkaz:
https://doaj.org/article/02df79dec6784ad6a515e0c9c3cba05f
Autor:
Mesut Çolak, Neşe Yıldız
Publikováno v:
Uluslararası Ekonomi, İşletme ve Politika Dergisi, Vol 8, Iss 2, Pp 476-498 (2024)
Bu çalışma, engelli istihdamı sürecinde ve sonrasında yaşanan sorunları firma temsilcilerinin perspektifinden tespit etmeyi ve çözüm önerileri geliştirmeyi hedeflemektedir. Bu amaca yönelik olarak, en fazla engelli istihdamın bulunduğ
Externí odkaz:
https://doaj.org/article/5dfb7f3be5b64b9eb20719cedecf8257
Autor:
Olgun Karacan, Gül1 (AUTHOR) golgun@aksaray.edu.tr, Çolak, Reyhan2 (AUTHOR), Yiğit, Nuri2 (AUTHOR), Kandemir, İrfan2 (AUTHOR), Özkurt, Şakir Önder3 (AUTHOR), Çolak, Ercüment2 (AUTHOR), Dabert, Miroslawa (AUTHOR) mirkad@amu.edu.pl
Publikováno v:
Journal of Zoological Systematics & Evolutionary Research. 12/13/2024, Vol. 2024, p1-14. 14p.
Autor:
Du, Wei, Advani, Laksh, Gambhir, Yashmeet, Perry, Daniel J, Shiralkar, Prashant, Xing, Zhengzheng, Colak, Aaron
Large language models (LLMs) have demonstrated significant capability to generalize across a large number of NLP tasks. For industry applications, it is imperative to assess the performance of the LLM on unlabeled production data from time to time to
Externí odkaz:
http://arxiv.org/abs/2309.05619
Autor:
Çolak, Okan, Karakan, Halil Ibrahim
Publikováno v:
Journal of Hospitality and Tourism Insights, 2023, Vol. 7, Issue 4, pp. 1720-1742.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JHTI-06-2022-0261
Autor:
Çolak, İbrahim
Publikováno v:
International Journal of Educational Management, 2024, Vol. 38, Issue 5, pp. 1305-1324.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJEM-05-2023-0241
Autor:
Li, Hongwei Bran, Conte, Gian Marco, Hu, Qingqiao, Anwar, Syed Muhammad, Kofler, Florian, Ezhov, Ivan, van Leemput, Koen, Piraud, Marie, Diaz, Maria, Cole, Byrone, Calabrese, Evan, Rudie, Jeff, Meissen, Felix, Adewole, Maruf, Janas, Anastasia, Kazerooni, Anahita Fathi, LaBella, Dominic, Moawad, Ahmed W., Farahani, Keyvan, Eddy, James, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Dako, Farouk, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Familiar, Ariana, Johanson, Elaine, Meier, Zeke, Davatzikos, Christos, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan M., Wiest, Roland, Kirschke, Jan, Colen, Rivka R., Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc André, Mahajan, Abhishek, Mohan, Suyash, Mongan, John, Hess, Christopher, Cha, Soonmee, Villanueva, Javier, Colak, Meyer Errol, Crivellaro, Priscila, Jakab, Andras, Albrecht, Jake, Anazodo, Udunna, Aboian, Mariam, Yu, Thomas, Baid, Ujjwal, Bakas, Spyridon, Linguraru, Marius George, Menze, Bjoern, Iglesias, Juan Eugenio, Wiestler, Benedikt
Automated brain tumor segmentation methods have become well-established and reached performance levels offering clear clinical utility. These methods typically rely on four input magnetic resonance imaging (MRI) modalities: T1-weighted images with an
Externí odkaz:
http://arxiv.org/abs/2305.09011