Zobrazeno 1 - 10
of 3 838
pro vyhledávání: '"Myronenko"'
Autor:
Klochko Alexander, Basova Yevheniia, Gasanov Magomediemin, Zakovorotny Alexander, Fedorenko Vitaly, Myronenko Oleh, Vorontsov Borys, Ryazantsev Anton, Protasov Roman
Publikováno v:
Journal of Mechanical Engineering, Vol 73, Iss 2, Pp 83-92 (2023)
The paper considers scientific principles of technological procedure development for the selection and assignment of parameters of velocity machining by blade tool at gear milling with due regard to the required parameters of the gear surface layer.
Externí odkaz:
https://doaj.org/article/29c6ca16b2fb4b5b96933b80cb72e7fb
Publikováno v:
MATEC Web of Conferences, Vol 390, p 03014 (2024)
The article defines as a scientific problem that requires research the development of a sufficiently simple (for use “in field conditions”) methodology for calculating the capabilities of forces and means of response to man-made, natural and mili
Externí odkaz:
https://doaj.org/article/161bbb79b7c44e1cb2db8993cdf11a88
Publikováno v:
MATEC Web of Conferences, Vol 390, p 03012 (2024)
The article examines the problems that arise in railway freight transportation when determining the optimal size of rolling stock fleet under seasonal fluctuations in the volume of transportation and ensuring a certain reserve of vehicles. In order t
Externí odkaz:
https://doaj.org/article/3f4ea6d5fcd7443e9721d099b8a12c32
Publikováno v:
MATEC Web of Conferences, Vol 390, p 03009 (2024)
The overview article delves into the critical area of emergency logistics and supply chain management. Analyzing research conducted by experts in the field, the authors explore the potential benefits and challenges associated with the use of multimod
Externí odkaz:
https://doaj.org/article/e7851f0887284d72b052ab130d3d1803
Autor:
He, Yufan, Guo, Pengfei, Tang, Yucheng, Myronenko, Andriy, Nath, Vishwesh, Xu, Ziyue, Yang, Dong, Zhao, Can, Xu, Daguang, Li, Wenqi
Since the release of Segment Anything 2 (SAM2), the medical imaging community has been actively evaluating its performance for 3D medical image segmentation. However, different studies have employed varying evaluation pipelines, resulting in conflict
Externí odkaz:
http://arxiv.org/abs/2408.11210
Autor:
He, Yufan, Guo, Pengfei, Tang, Yucheng, Myronenko, Andriy, Nath, Vishwesh, Xu, Ziyue, Yang, Dong, Zhao, Can, Simon, Benjamin, Belue, Mason, Harmon, Stephanie, Turkbey, Baris, Xu, Daguang, Li, Wenqi
Medical image segmentation is a core component of precision medicine, and 3D computed tomography (CT) is one of the most important imaging techniques. A highly accurate and clinically applicable segmentation foundation model will greatly facilitate c
Externí odkaz:
http://arxiv.org/abs/2406.05285
Publikováno v:
Bìznes Inform, Vol 5, Iss 508, Pp 312-319 (2020)
In the face of a persistent shortage of financial resources, bankruptcy and the liquidation of a large number of enterprises, the problem of ensuring the appropriate condition and management of the enterprise’s non-current assets and finding ways t
Externí odkaz:
https://doaj.org/article/fd776d42de6f42919c8ce2da5b46fa45
Autor:
de la Rosa, Ezequiel, Reyes, Mauricio, Liew, Sook-Lei, Hutton, Alexandre, Wiest, Roland, Kaesmacher, Johannes, Hanning, Uta, Hakim, Arsany, Zubal, Richard, Valenzuela, Waldo, Robben, David, Sima, Diana M., Anania, Vincenzo, Brys, Arne, Meakin, James A., Mickan, Anne, Broocks, Gabriel, Heitkamp, Christian, Gao, Shengbo, Liang, Kongming, Zhang, Ziji, Siddiquee, Md Mahfuzur Rahman, Myronenko, Andriy, Ashtari, Pooya, Van Huffel, Sabine, Jeong, Hyun-su, Yoon, Chi-ho, Kim, Chulhong, Huo, Jiayu, Ourselin, Sebastien, Sparks, Rachel, Clèrigues, Albert, Oliver, Arnau, Lladó, Xavier, Chalcroft, Liam, Pappas, Ioannis, Bertels, Jeroen, Heylen, Ewout, Moreau, Juliette, Hatami, Nima, Frindel, Carole, Qayyum, Abdul, Mazher, Moona, Puig, Domenec, Lin, Shao-Chieh, Juan, Chun-Jung, Hu, Tianxi, Boone, Lyndon, Goubran, Maged, Liu, Yi-Jui, Wegener, Susanne, Kofler, Florian, Ezhov, Ivan, Shit, Suprosanna, Petzsche, Moritz R. Hernandez, Menze, Bjoern, Kirschke, Jan S., Wiestler, Benedikt
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable AI algorithms with clinical value. We address this gap by presenting a
Externí odkaz:
http://arxiv.org/abs/2403.19425
Autor:
Payette, Kelly, Steger, Céline, Licandro, Roxane, de Dumast, Priscille, Li, Hongwei Bran, Barkovich, Matthew, Li, Liu, Dannecker, Maik, Chen, Chen, Ouyang, Cheng, McConnell, Niccolò, Miron, Alina, Li, Yongmin, Uus, Alena, Grigorescu, Irina, Gilliland, Paula Ramirez, Siddiquee, Md Mahfuzur Rahman, Xu, Daguang, Myronenko, Andriy, Wang, Haoyu, Huang, Ziyan, Ye, Jin, Alenyà, Mireia, Comte, Valentin, Camara, Oscar, Masson, Jean-Baptiste, Nilsson, Astrid, Godard, Charlotte, Mazher, Moona, Qayyum, Abdul, Gao, Yibo, Zhou, Hangqi, Gao, Shangqi, Fu, Jia, Dong, Guiming, Wang, Guotai, Rieu, ZunHyan, Yang, HyeonSik, Lee, Minwoo, Płotka, Szymon, Grzeszczyk, Michal K., Sitek, Arkadiusz, Daza, Luisa Vargas, Usma, Santiago, Arbelaez, Pablo, Lu, Wenying, Zhang, Wenhao, Liang, Jing, Valabregue, Romain, Joshi, Anand A., Nayak, Krishna N., Leahy, Richard M., Wilhelmi, Luca, Dändliker, Aline, Ji, Hui, Gennari, Antonio G., Jakovčić, Anton, Klaić, Melita, Adžić, Ana, Marković, Pavel, Grabarić, Gracia, Kasprian, Gregor, Dovjak, Gregor, Rados, Milan, Vasung, Lana, Cuadra, Meritxell Bach, Jakab, Andras
Segmentation is a critical step in analyzing the developing human fetal brain. There have been vast improvements in automatic segmentation methods in the past several years, and the Fetal Brain Tissue Annotation (FeTA) Challenge 2021 helped to establ
Externí odkaz:
http://arxiv.org/abs/2402.09463
Autor:
Auzinger, G., Bakhshiansohi, H., Dabrowski, A., Delannoy, A. G., Dierlamm, A., Dragicevic, M., Gholami, A., Gomez, G., Guthoff, M., Haranko, M., Homna, A., Jenihhin, M., Kaplon, J., Karacheban, O., Korcsmáros, B., Liu, W. H., Lokhovitskiy, A., Loos, R., Mallows, S., Michel, J., Myronenko, V., Pásztor, G., Pari, M., Schwandt, J., Sedghi, M., Shevelev, A., Shibin, K., Steinbrueck, G., Stickland, D., Ujvari, B., Wegrzyn, G. J.
The high-luminosity upgrade of the LHC brings unprecedented requirements for real-time and precision bunch-by-bunch online luminosity measurement and beam-induced background monitoring. A key component of the CMS Beam Radiation, Instrumentation and L
Externí odkaz:
http://arxiv.org/abs/2402.03971