| Style | Citing Format |
|---|---|
| MLA | Shiri I, et al.. "Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning." Computers in Biology and Medicine, vol. 145, no. , 2022, pp. -. |
| APA | Shiri I, Salimi Y, Pakbin M, Hajianfar G, Avval AH, Sanaat A, Mostafaei S, Akhavanallaf A, Saberi A, Mansouri Z, Askari D, Ghasemian M, Sharifipour E, Sandoughdaran S, Sohrabi A, Sadati E, Livani S, Iranpour P, Kolahi S, ... Zaidi H (2022). Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning. Computers in Biology and Medicine, 145(), -. |
| Chicago | Shiri I, Salimi Y, Pakbin M, Hajianfar G, Avval AH, Sanaat A, Mostafaei S, et al.. "Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning." Computers in Biology and Medicine 145, no. (2022): -. |
| Harvard | Shiri I et al. (2022) 'Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning', Computers in Biology and Medicine, 145(), pp. -. |
| Vancouver | Shiri I, Salimi Y, Pakbin M, Hajianfar G, Avval AH, Sanaat A, et al.. Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning. Computers in Biology and Medicine. 2022;145():-. |
| BibTex | @article{ author = {Shiri I and Salimi Y and Pakbin M and Hajianfar G and Avval AH and Sanaat A and Mostafaei S and Akhavanallaf A and Saberi A and Mansouri Z and Askari D and Ghasemian M and Sharifipour E and Sandoughdaran S and Sohrabi A and Sadati E and Livani S and Iranpour P and Kolahi S and Khateri M and Bijari S and Atashzar MR and Shayesteh SP and Khosravi B and Babaei MR and Jenabi E and Hasanian M and Shahhamzeh A and Foroghi Ghomi SY and Mozafari A and Teimouri A and Movaseghi F and Ahmari A and Goharpey N and Bozorgmehr R and Shirzadaski H and Mortazavi R and Karimi J and Mortazavi N and Besharat S and Afsharpad M and Abdollahi H and Geramifar P and Radmard AR and Arabi H and Rezaeikalantari K and Oveisi M and Rahmim A and Zaidi H}, title = {Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning}, journal = {Computers in Biology and Medicine}, volume = {145}, number = {}, pages = {-}, year = {2022} } |
| RIS | TY - JOUR AU - Shiri I AU - Salimi Y AU - Pakbin M AU - Hajianfar G AU - Avval AH AU - Sanaat A AU - Mostafaei S AU - Akhavanallaf A AU - Saberi A AU - Mansouri Z AU - Askari D AU - Ghasemian M AU - Sharifipour E AU - Sandoughdaran S AU - Sohrabi A AU - Sadati E AU - Livani S AU - Iranpour P AU - Kolahi S AU - Khateri M AU - Bijari S AU - Atashzar MR AU - Shayesteh SP AU - Khosravi B AU - Babaei MR AU - Jenabi E AU - Hasanian M AU - Shahhamzeh A AU - Foroghi Ghomi SY AU - Mozafari A AU - Teimouri A AU - Movaseghi F AU - Ahmari A AU - Goharpey N AU - Bozorgmehr R AU - Shirzadaski H AU - Mortazavi R AU - Karimi J AU - Mortazavi N AU - Besharat S AU - Afsharpad M AU - Abdollahi H AU - Geramifar P AU - Radmard AR AU - Arabi H AU - Rezaeikalantari K AU - Oveisi M AU - Rahmim A AU - Zaidi H TI - Covid-19 Prognostic Modeling Using Ct Radiomic Features and Machine Learning Algorithms: Analysis of a Multi-Institutional Dataset of 14,339 Patients: Covid-19 Prognostic Modeling Using Ct Radiomics and Machine Learning JO - Computers in Biology and Medicine VL - 145 IS - SP - EP - PY - 2022 ER - |