Zobrazeno 1 - 10
of 6 714
pro vyhledávání: '"Comba A"'
Objective: Scientific publications play a crucial role in uncovering insights, testing novel drugs, and shaping healthcare policies. Accessing the quality of publications requires evaluating their Risk of Bias (RoB), a process typically conducted by
Externí odkaz:
http://arxiv.org/abs/2410.21495
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 22, Iss 4, Pp 539-544 (2016)
Externí odkaz:
https://doaj.org/article/03e966182b144a4687d7fe4ee9c724ae
The COVID-19 pandemic presented numerous challenges to healthcare systems worldwide. Given that lung infections are prevalent among COVID-19 patients, chest Computer Tomography (CT) scans have frequently been utilized as an alternative method for ide
Externí odkaz:
http://arxiv.org/abs/2308.01433
Autor:
Rivera, Fabrizio, Comba, Luca Costanzo, Colombo, Massimiliano, Benazzo, Francesco, Cavaliere, Pietro, Solarino, Giuseppe
Publikováno v:
In Injury September 2024 55 Supplement 4
Autor:
Multari, Stefania, Bergandi, Loredana, Alovisi, Mario, Comba, Allegra, Scotti, Nicola, Charrier, Lorena, Silvagno, Francesca, Baima, Gianmarco, Berutti, Elio, Pasqualini, Damiano
Publikováno v:
In Journal of Endodontics September 2024 50(9):1245-1253
Autor:
Mammarella, Martina, Donati, Cesare, Shimizu, Takumi, Suenaga, Masaya, Comba, Lorenzo, Biglia, Alessandro, Uto, Kuniaki, Hatanaka, Takeshi, Gay, Paolo, Dabbene, Fabrizio
In the last years, unmanned aerial vehicles are becoming a reality in the context of precision agriculture, mainly for monitoring, patrolling and remote sensing tasks, but also for 3D map reconstruction. In this paper, we present an innovative approa
Externí odkaz:
http://arxiv.org/abs/2202.02758
Autor:
COMBA, Cihan1 cihan.comba@yahoo.com.tr, DEMİRAYAK, Gökhan2, KARAKAŞ, Sema3, ERDOĞAN, Şakir Volkan4, DEMİR, Ömer5, YILDIZ, Güneş Özlem6, ÖNDER, Ayşe Büşra3, ERDOĞAN, Aliye7, AFŞAR, Selim8, ÖZDEMİR, İsa Aykut9
Publikováno v:
Bezmialem Science. 2024, Vol. 12 Issue 3, p342-349. 8p.
Early detection of COVID-19 is vital to control its spread. Deep learning methods have been presented to detect suggestive signs of COVID-19 from chest CT images. However, due to the novelty of the disease, annotated volumetric data are scarce. Here
Externí odkaz:
http://arxiv.org/abs/2111.08710
Autor:
Comba, Cihan, Karakas, Sema, Erdogan, Sakir Volkan, Demir, Omer, Şimşek, Erkan, Karasabanoglu, Fatma, Demirayak, Gokhan, Ozdemir, Isa Aykut
Publikováno v:
In Surgical Oncology August 2024 55