Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Rahimeh Rouhi"'
Autor:
Rahimeh Rouhi, Stéphane Niyoteka, Alexandre Carré, Samir Achkar, Pierre-Antoine Laurent, Mouhamadou Bachir Ba, Cristina Veres, Théophraste Henry, Maria Vakalopoulou, Roger Sun, Sophie Espenel, Linda Mrissa, Adrien Laville, Cyrus Chargari, Eric Deutsch, Charlotte Robert
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 30, Iss , Pp 100578- (2024)
Background and Purpose: Automatic segmentation methods have greatly changed the RadioTherapy (RT) workflow, but still need to be extended to target volumes. In this paper, Deep Learning (DL) models were compared for Gross Tumor Volume (GTV) segmentat
Externí odkaz:
https://doaj.org/article/4f8d8ae90c1e4b03873351f3036e4c9c
Publikováno v:
IEEE Access, Vol 7, Pp 87288-87302 (2019)
Clustering the images shared through social network (SN) platforms according to the acquisition cameras embedded in smartphones is regarded as a significant task in forensic investigations of cybercrimes. The sensor pattern noise (SPN) caused by the
Externí odkaz:
https://doaj.org/article/3d8a3f8c5f9b437096658d2d22f2e128
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Atrial Fibrillation (AF) is the most common type of cardiac arrhythmia. Early diagnosis of AF helps to improve therapy and prognosis. Machine Learning (ML) has been successfully applied to improve the effectiveness of Computer-Aided Diagnosis (CADx)
Externí odkaz:
https://doaj.org/article/cc8204a576514741ade038ff347c4295
Publikováno v:
Journal of Imaging, Vol 7, Iss 2, p 33 (2021)
The popularity of social networks (SNs), amplified by the ever-increasing use of smartphones, has intensified online cybercrimes. This trend has accelerated digital forensics through SNs. One of the areas that has received lots of attention is camera
Externí odkaz:
https://doaj.org/article/7957c4a6ac4b43a2973701d858105087
Given that a significant fraction of buildings and architectural heritage in Europe’s historical centers are masonry structures, the selection of proper diagnosis, technological surveys, non-destructive testing, and interpretations of crack and dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b062b479ca058cecb5be57d5a882991
https://www.bib.irb.hr/1280673
https://www.bib.irb.hr/1280673
Autor:
Reza Latifi, Rahimeh Rouhi
Publikováno v:
Civil Engineering and Architecture. 8:237-245
Response Spectrum Analysis (RSA) and modal combination techniques are widely used to estimate the peak response of structures subjected to earthquake vibrations. This paper presents the numerical modeling and seismic analysis of structures. The respo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5b653505f6c46768ad43abfad93f908
https://doi.org/10.13189/cea.2020.080306
https://doi.org/10.13189/cea.2020.080306
Publikováno v:
Advanced Sciences and Technologies for Security Applications ISBN: 9783030394882
Social networks have become an indispensable part of everyday life by providing users with different types of interaction. However, sharing different types of data, such as text, image, video and etc., on social networks, gives rise to user privacy c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66e633afc2cb54fe0a2357fa2cf56ff6
https://doi.org/10.1007/978-3-030-39489-9_1
https://doi.org/10.1007/978-3-030-39489-9_1
Sharing images on Social Network (SN) platforms is one of the most widespread behaviors which may cause privacy-intrusive and illegal content to be widely distributed. Clustering the images shared through SN platforms according to the acquisition cam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44ad73283b9e585ee440ea791814542c
https://hdl.handle.net/11585/821989
https://hdl.handle.net/11585/821989
Publikováno v:
Advanced Sciences and Technologies for Security Applications ISBN: 9783030394882
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2283788d8c7bbab8303280e5fbd66fdc
https://doi.org/10.1007/978-3-030-39489-9_14
https://doi.org/10.1007/978-3-030-39489-9_14
Publikováno v:
IWBF
The fast growth of Social Networks (SNs), amplified by the ever-increasing use of smartphones, has intensified online cybercrimes. This trend has accelerated digital investigations through SNs. In particular, camera Sensor Pattern Noise (SPN) uniquel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c40e1ef636b59a7c8573be533bf13b8
https://doi.org/10.1109/iwbf.2019.8739237
https://doi.org/10.1109/iwbf.2019.8739237