Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Radu Tudor Ion"'
Autor:
Ramona-Andreea Rizescu, Iulia Alecsandra Sălcianu, Alexandru Șerbănoiu, Radu Tudor Ion, Lucian Mihai Florescu, Ioana-Andreea Gheonea, Gheorghe Iana, Ana Magdalena Bratu
Publikováno v:
Medicina, Vol 60, Iss 3, p 512 (2024)
Background and Objectives: Endometrial carcinoma is one of the most common gynecological cancers, and benign lesions such as endometrial hyperplasia, polyps, adenomyosis and leiomyomas should be included in the differential diagnosis. Magnetic resona
Externí odkaz:
https://doaj.org/article/e111baab2ee148bfb5096ac121ef6a7c
Autor:
Alexandru Șerbănoiu, Rareș Nechifor, Andreea Nicoleta Marinescu, Gheorghe Iana, Ana Magdalena Bratu, Iulia Alecsandra Sălcianu, Radu Tudor Ion, Florin Mihail Filipoiu
Publikováno v:
Medicina, Vol 59, Iss 12, p 2122 (2023)
Background and Objectives: The purpose of the current paper is to present our study on the variability in the prostatic artery origin, discuss the less frequent origins, and present the challenges of the prostatic artery embolization (PAE) procedure,
Externí odkaz:
https://doaj.org/article/8d25dab068964d8e9e47ab3ef61ab899
Autor:
Florin Mihail Filipoiu, Radu Tudor Ion, Zoran Florin Filipoiu, Adrian Daniel Tulin, Octavian Enciu, Mihaly Enyedi
Introduction. The suspension of the penis is provided by two ligaments: fundiform and suspensory. These ligaments are sectioned during some augmentative surgical procedures. The structure, the relations and the variability of these ligaments have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97c14438bd15bff1435064c10300d71a
https://doi.org/10.21203/rs.3.rs-2899312/v1
https://doi.org/10.21203/rs.3.rs-2899312/v1
Publikováno v:
IEEE Access, Vol 9, Pp 153491-153507 (2021)
Radar sensors are gradually becoming a wide-spread equipment for road vehicles, playing a crucial role in autonomous driving and road safety. The broad adoption of radar sensors increases the chance of interference among sensors from different vehicl
Externí odkaz:
https://doaj.org/article/ed52fac519074e77a4cb8fc081f2c27c
Autor:
Cezara Benegui, Radu Tudor Ionescu
Publikováno v:
IEEE Access, Vol 8, Pp 61255-61266 (2020)
In this paper, we propose a deep learning approach for smartphone user identification based on analyzing motion signals recorded by the accelerometer and the gyroscope, during a single tap gesture performed by the user on the screen. We transform the
Externí odkaz:
https://doaj.org/article/e324d1e301e64bf98d05c4283ee949f5
Publikováno v:
IEEE Access, Vol 8, Pp 49112-49124 (2020)
Computed Tomography (CT) scanners that are commonly-used in hospitals and medical centers nowadays produce low-resolution images, e.g. one voxel in the image corresponds to at most one-cubic millimeter of tissue. In order to accurately segment tumors
Externí odkaz:
https://doaj.org/article/a185496cacc44ff4949dadb69a4b5f88
Publikováno v:
IEEE Access, Vol 7, Pp 64827-64836 (2019)
We present an approach that combines automatic features learned by convolutional neural networks (CNN) and handcrafted features computed by the bag-of-visual-words (BOVW) model in order to achieve the state-of-the-art results in facial expression rec
Externí odkaz:
https://doaj.org/article/3c755ad2ff0f488f90543372938e3dc8
Autor:
Andrei M. Butnaru, Radu Tudor Ionescu
Publikováno v:
IEEE Access, Vol 7, Pp 120961-120975 (2019)
ShotgunWSD is a recent unsupervised and knowledge-based algorithm for global word sense disambiguation (WSD). The algorithm is inspired by the Shotgun sequencing technique, which is a broadly-used whole genome sequencing approach. ShotgunWSD performs
Externí odkaz:
https://doaj.org/article/2d2394873b214c4683f6205f5f9427c0
Autor:
Cezara Benegui, Radu Tudor Ionescu
Publikováno v:
Mathematics, Vol 9, Iss 15, p 1786 (2021)
In this paper, we propose an enhanced version of the Authentication with Built-in Camera (ABC) protocol by employing a deep learning solution based on built-in motion sensors. The standard ABC protocol identifies mobile devices based on the photo-res
Externí odkaz:
https://doaj.org/article/8f20cfa61f1e4a49aed89b46e245fa4b
Publikováno v:
Sensors, Vol 20, Iss 19, p 5611 (2020)
In this paper, we present our system for the RSNA Intracranial Hemorrhage Detection challenge, which is based on the RSNA 2019 Brain CT Hemorrhage dataset. The proposed system is based on a lightweight deep neural network architecture composed of a c
Externí odkaz:
https://doaj.org/article/7e961f0e26b047a4a3677c9e25db1a0d