Zobrazeno 1 - 10
of 17 405
pro vyhledávání: '"Çolak A"'
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:
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
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 21, Iss 5, Pp 773-776 (2015)
Externí odkaz:
https://doaj.org/article/1f1485698cd0467c90ab289758957dbb
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, 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
Autor:
Kofler, Florian, Meissen, Felix, Steinbauer, Felix, Graf, Robert, Ehrlich, Stefan K, Reinke, Annika, Oswald, Eva, Waldmannstetter, Diana, Hoelzl, Florian, Horvath, Izabela, Turgut, Oezguen, Shit, Suprosanna, Bukas, Christina, Yang, Kaiyuan, Paetzold, Johannes C., de da Rosa, Ezequiel, Mekki, Isra, Vinayahalingam, Shankeeth, Kassem, Hasan, Zhang, Juexin, Chen, Ke, Weng, Ying, Durrer, Alicia, Cattin, Philippe C., Wolleb, Julia, Sadique, M. S., Rahman, M. M., Farzana, W., Temtam, A., Iftekharuddin, K. M., Adewole, Maruf, Anwar, Syed Muhammad, Baid, Ujjwal, Janas, Anastasia, Kazerooni, Anahita Fathi, LaBella, Dominic, Li, Hongwei Bran, Moawad, Ahmed W, Conte, Gian-Marco, Farahani, Keyvan, Eddy, James, Sheller, Micah, Pati, Sarthak, Karagyris, Alexandros, Aristizabal, Alejandro, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Dako, Farouk, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Johanson, Elaine, Meier, Zeke, Familiar, Ariana, 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-Meyer, Javier, Colak, Errol, Crivellaro, Priscila, Jakab, Andras, Fatade, Abiodun, Omidiji, Olubukola, Lagos, Rachel Akinola, Olatunji, O O, Khanna, Goldey, Kirkpatrick, John, Alonso-Basanta, Michelle, Rashid, Arif, Bornhorst, Miriam, Nabavizadeh, Ali, Lepore, Natasha, Palmer, Joshua, Porras, Antonio, Albrecht, Jake, Anazodo, Udunna, Aboian, Mariam, Calabrese, Evan, Rudie, Jeffrey David, Linguraru, Marius George, Iglesias, Juan Eugenio, Van Leemput, Koen, Bakas, Spyridon, Wiestler, Benedikt, Ezhov, Ivan, Piraud, Marie, Menze, Bjoern H
A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with an already pathological scan. This pos
Externí odkaz:
http://arxiv.org/abs/2305.08992
Autor:
Wantlin, Kathryn, Wu, Chenwei, Huang, Shih-Cheng, Banerjee, Oishi, Dadabhoy, Farah, Mehta, Veeral Vipin, Han, Ryan Wonhee, Cao, Fang, Narayan, Raja R., Colak, Errol, Adamson, Adewole, Heacock, Laura, Tison, Geoffrey H., Tamkin, Alex, Rajpurkar, Pranav
Medical data poses a daunting challenge for AI algorithms: it exists in many different modalities, experiences frequent distribution shifts, and suffers from a scarcity of examples and labels. Recent advances, including transformers and self-supervis
Externí odkaz:
http://arxiv.org/abs/2304.08486
Publikováno v:
Nature Energy 3, 484-493 (2018)
The rising adoption of plug-in electric vehicles (PEVs) leads to the alignment of their electricity and their mobility demands. Therefore, transportation and power infrastructures are becoming increasingly interdependent. In this work, we uncover pat
Externí odkaz:
http://arxiv.org/abs/2303.15578