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R Bashir

Showing results (261-270 of 364) with videos related to

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Artificial Intelligence in Medicine|December 25, 2024
Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CTYuqi Wang, Aarzu Gupta, Fakrul Islam Tushar, et al.
European Radiology|October 23, 2023
Prognostic MRI features to predict postresection survivals for very early to intermediate stage hepatocellular carcinomaHanyu Jiang, Yun Qin, Hong Wei, et al.
Human Molecular Genetics|April 10, 1999
Identical mutation in patients with limb girdle muscular dystrophy type 2B or Miyoshi myopathy suggests a role for modifier gene(s)T Weiler, R Bashir, L V Anderson, et al.
AJR. American Journal of Roentgenology|November 1, 2019
Relative Sarcopenia With Excess Adiposity Predicts Survival After Transjugular Intrahepatic Portosystemic Shunt CreationJames Ronald, Erol Bozdogan, Islam H Zaki, et al.
Radiology|May 2, 2023
Conversion Strategy for LI-RADS Category 5 Observations across Versions 2014, 2017, and 2018Stacy M Goins, Robert G Adamo, Eric Lam, et al.
Abdominal Radiology (New York)|March 31, 2021
Artificial intelligence in assessment of hepatocellular carcinoma treatment responseBradley Spieler, Carl Sabottke, Ahmed W Moawad, et al.
Radiology|December 18, 2019
The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular CarcinomaMohammad Chaudhry, Katrina A McGinty, Benjamin Mervak, et al.
Liver International : Official Journal of the International Association for the Study of the Liver|March 4, 2022
Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRIHanyu Jiang, Jingwei Wei, Fangfang Fu, et al.
Abdominal Radiology (New York)|May 24, 2021
Correction to: Artificial intelligence in assessment of hepatocellular carcinoma treatment responseBradley Spieler, Carl Sabottke, Ahmed W Moawad, et al.
Abdominal Radiology (New York)|October 9, 2022
CT-derived body composition measurements as predictors for neoadjuvant treatment tolerance and survival in gastroesophageal adenocarcinomaMariana R DeFreitas, Amadu Toronka, Marybeth A Nedrud, et al.
Pageof 37

Showing results (261-270 of 364) with videos related to

Sort By:
Pageof 37
Artificial Intelligence in Medicine|December 25, 2024
Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CTYuqi Wang, Aarzu Gupta, Fakrul Islam Tushar, et al.
European Radiology|October 23, 2023
Prognostic MRI features to predict postresection survivals for very early to intermediate stage hepatocellular carcinomaHanyu Jiang, Yun Qin, Hong Wei, et al.
Human Molecular Genetics|April 10, 1999
Identical mutation in patients with limb girdle muscular dystrophy type 2B or Miyoshi myopathy suggests a role for modifier gene(s)T Weiler, R Bashir, L V Anderson, et al.
AJR. American Journal of Roentgenology|November 1, 2019
Relative Sarcopenia With Excess Adiposity Predicts Survival After Transjugular Intrahepatic Portosystemic Shunt CreationJames Ronald, Erol Bozdogan, Islam H Zaki, et al.
Radiology|May 2, 2023
Conversion Strategy for LI-RADS Category 5 Observations across Versions 2014, 2017, and 2018Stacy M Goins, Robert G Adamo, Eric Lam, et al.
Abdominal Radiology (New York)|March 31, 2021
Artificial intelligence in assessment of hepatocellular carcinoma treatment responseBradley Spieler, Carl Sabottke, Ahmed W Moawad, et al.
Radiology|December 18, 2019
The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular CarcinomaMohammad Chaudhry, Katrina A McGinty, Benjamin Mervak, et al.
Liver International : Official Journal of the International Association for the Study of the Liver|March 4, 2022
Predicting microvascular invasion in hepatocellular carcinoma: A dual-institution study on gadoxetate disodium-enhanced MRIHanyu Jiang, Jingwei Wei, Fangfang Fu, et al.
Abdominal Radiology (New York)|May 24, 2021
Correction to: Artificial intelligence in assessment of hepatocellular carcinoma treatment responseBradley Spieler, Carl Sabottke, Ahmed W Moawad, et al.
Abdominal Radiology (New York)|October 9, 2022
CT-derived body composition measurements as predictors for neoadjuvant treatment tolerance and survival in gastroesophageal adenocarcinomaMariana R DeFreitas, Amadu Toronka, Marybeth A Nedrud, et al.
Pageof 37