Zobrazeno 1 - 10
of 11 277
pro vyhledávání: '"Molchanova AS"'
Autor:
Spagnolo, Federico, Molchanova, Nataliia, Pineda, Mario Ocampo, Melie-Garcia, Lester, Cuadra, Meritxell Bach, Granziera, Cristina, Andrearczyk, Vincent, Depeursinge, Adrien
To date, several methods have been developed to explain deep learning algorithms for classification tasks. Recently, an adaptation of two of such methods has been proposed to generate instance-level explainable maps in a semantic segmentation scenari
Externí odkaz:
http://arxiv.org/abs/2409.03772
Autor:
Molchanova, Nataliia, Cagol, Alessandro, Gordaliza, Pedro M., Ocampo-Pineda, Mario, Lu, Po-Jui, Weigel, Matthias, Chen, Xinjie, Depeursinge, Adrien, Granziera, Cristina, Müller, Henning, Cuadra, Meritxell Bach
Uncertainty quantification (UQ) has become critical for evaluating the reliability of artificial intelligence systems, especially in medical image segmentation. This study addresses the interpretability of instance-wise uncertainty values in deep lea
Externí odkaz:
http://arxiv.org/abs/2407.05761
Autor:
T.L. Molchanova
Publikováno v:
Архивный поиск. :163-182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5bd3ce5421d21748a9fd19b2c748c84
https://doi.org/10.54967/978-5-6046932-2-3_2022_5_11
https://doi.org/10.54967/978-5-6046932-2-3_2022_5_11
Autor:
Spagnolo, Federico, Molchanova, Nataliia, Schaer, Roger, Cuadra, Meritxell Bach, Pineda, Mario Ocampo, Melie-Garcia, Lester, Granziera, Cristina, Andrearczyk, Vincent, Depeursinge, Adrien
In recent years, explainable methods for artificial intelligence (XAI) have tried to reveal and describe models' decision mechanisms in the case of classification tasks. However, XAI for semantic segmentation and in particular for single instances ha
Externí odkaz:
http://arxiv.org/abs/2406.09335
Starting from a model of nonlinear magnetoelasticity where magnetization is defined in the Eulerian configuration while elastic deformation is in the Lagrangean one, we rigorously derive a linearized model that coincides with the standard one that al
Externí odkaz:
http://arxiv.org/abs/2401.09586
Autor:
Molchanova, Oksana1 molchanovaoks11@gmail.com, Yudina, Alina2 judina.alina12@duan.edu.ua, Kocharian, Oleksandr3 ol.kocharian57@gmail.com, Meloian, Anait4 an.meloyan09@gmail.com, Barinova, Nataliia5 n.barinova23@gmail.com
Publikováno v:
Revista de la Universidad del Zulia. may-ago2024, Vol. 15 Issue 43, p114-129. 16p.
Autor:
Molchanova, Nataliia, Raina, Vatsal, Malinin, Andrey, La Rosa, Francesco, Depeursinge, Adrien, Gales, Mark, Granziera, Cristina, Muller, Henning, Graziani, Mara, Cuadra, Meritxell Bach
Publikováno v:
Computers in Biology and Medicine 184(2025)109336
This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automated deep-learning (DL) tools in the context of white matter lesion (WML) segmentation from magnetic resonance imaging (MRI) scans of multiple sclerosi
Externí odkaz:
http://arxiv.org/abs/2311.08931
Autor:
Tatyana Ya. Korchina, Vladimir I. Korchin, Elena P. Fedorova, Vladimir V. Dyachkov, Olga V. Grubii, Aleksey V. Ratiev, Tatyana P. Fomicheva, Zhanna I. Molchanova
Publikováno v:
Журнал медико-биологических исследований, Vol 12, Iss 4, Pp 466-474 (2024)
Taking into account the wide range of physiological effects of vitamin D on the human body and the dependence of its synthesis in the skin on insolation, it is of undoubted interest to study vitamin D status in various population groups in the Russia
Externí odkaz:
https://doaj.org/article/d4b3d75e6a3b41ff8022d87f50c04f4e
Autor:
V. V. Zotov, O. I. Molchanova
Publikováno v:
Цифровая социология, Vol 7, Iss 3, Pp 80-90 (2024)
Infographics are used to display information in a visual form with a graphic component, and have become widespread due to the convergence of the media space, which has transformed the processes of collecting, processing, broadcasting, and, most impor
Externí odkaz:
https://doaj.org/article/09354f5dcfb7435ba08b460c9960937d
Publikováno v:
Psihologo-Pedagogičeskie Issledovaniâ, Vol 16, Iss 3, Pp 52-68 (2024)
The article presents the results of a population study on the mental and physical development of preschool children using a standardized interdisciplinary diagnostic complex (State Registration Number 624012303596-7 dated January 23, 2024). The study
Externí odkaz:
https://doaj.org/article/9151b68b650a49809dce29f39e9e7adb