Zobrazeno 1 - 10
of 561
pro vyhledávání: '"Unal Mehmet"'
Autor:
Şeker Ali, Unal Mehmet Bekir, Malkoc Melih, Kara Adnan, Sarikaya Ilker Abdullah, Bulbul Ahmet Murat
Publikováno v:
Srpski Arhiv za Celokupno Lekarstvo, Vol 144, Iss 9-10, Pp 553-556 (2016)
Introduction. Osteoid osteoma is a benign osteoid-forming tumor generally localized to the long bones, is rarely localized in the hand and the major symptom is intermittent pain. This study aims to present two patients who were operated on for met
Externí odkaz:
https://doaj.org/article/e4a1de0f31ba4441ac150b094e78cb75
Autor:
Aksoy, Zeynep Busra, Il, Deniz Baran, Celik, Dogantan, Sengun, Dilara Nur, Unal, Mehmet Altay, Kaya, S. Irem, Yilmazer, Acelya, Ozkan, Sibel A.
Publikováno v:
In Trends in Analytical Chemistry November 2024 180
Autor:
Piskin, Ensar, Cetinkaya, Ahmet, Unal, Mehmet A., Özgür, Erdogan, Atici, Esen Bellur, Uzun, Lokman, Ozkan, Sibel A.
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis 15 September 2024 248
Autor:
Piskin, Ensar, Cetinkaya, Ahmet, Eryaman, Zülal, Karadurmus, Leyla, Unal, Mehmet Altay, Sezgintürk, Mustafa Kemal, Hizal, Julide, Ozkan, Sibel A.
Publikováno v:
In Microchemical Journal September 2024 204
Autor:
UNAL, Mehmet Altay
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis 15 August 2024 246
Autor:
Ceylan, Ahmet, Uyar, Recep, Çelik, Dogantan, Rafieerad, Alireza, Çinar, Ozge Ozgenç, Summak, Gökce Yagmur, Gurcan, Cansu, Giro, Linda, Khoueiry, Rita, Turktas, Mine, Unal, Mehmet Altay, Gogotsi, Yury, Delogu, Lucia Gemma, Dhingra, Sanjiv, Yilmazer, Açelya
Publikováno v:
In Nano Today June 2024 56
Autor:
Arif, Tuba, Bilge, Selva, Uyar, Recep, Özçelikay-Akyildiz, Göksu, Summak, Gökçe Yağmur, Unal, Mehmet Altay, Yilmazer, Açelya, Özkan, Sibel Ayşil
Publikováno v:
In Microchemical Journal March 2024 198
Autor:
Aminizadeh, Sarina, Heidari, Arash, Dehghan, Mahshid, Toumaj, Shiva, Rezaei, Mahsa, Jafari Navimipour, Nima, Stroppa, Fabio, Unal, Mehmet
Publikováno v:
In Artificial Intelligence In Medicine March 2024 149
In this paper, we introduced a novel deep learning-based reconstruction technique for low-dose CT imaging using 3 dimensional convolutions to include the sagittal information unlike the existing 2 dimensional networks which exploits correlation only
Externí odkaz:
http://arxiv.org/abs/2105.14130
Publikováno v:
Biomedical Signal Processing and Control 75 (2022) 103598
Low-dose CT imaging requires reconstruction from noisy indirect measurements which can be defined as an ill-posed linear inverse problem. In addition to conventional FBP method in CT imaging, recent compressed sensing based methods exploit handcrafte
Externí odkaz:
http://arxiv.org/abs/2012.06448