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Cited by in CrossRef
Number Cited Articles
1
Peter Kletting, Berthold Müller, Bahar Erentok, Jörn Schmaljohann, Florian F. Behrendt, Sven N. Reske, Felix M. Mottaghy, Gerhard Glatting. Differences in predicted and actually absorbed doses in peptide receptor radionuclide therapyMedical Physics 2012; 39(9): 5708 doi: 10.1118/1.4747266
2
Keno K. Bressem, Janis L. Vahldiek, Christoph Erxleben, Beatrice Geyer, Franz Poch, Seyd Shnayien, Kai S. Lehmann, B. Hamm, Stefan M. Niehues. Comparison of different 4D CT-Perfusion algorithms to visualize lesions after microwave ablation in an in vivo porcine modelInternational Journal of Hyperthermia 2019; 36(1): 1097 doi: 10.1080/02656736.2019.1679894
3
Nikolaj K.G. Jensen, Danielle Mulder, Michael Lock, Barbara Fisher, Rebecca Zener, Ben Beech, Roman Kozak, Jeff Chen, Ting-Yim Lee, Eugene Wong. Dynamic contrast enhanced CT aiding gross tumor volume delineation of liver tumors: An interobserver variability studyRadiotherapy and Oncology 2014; 111(1): 153 doi: 10.1016/j.radonc.2014.01.026
4
Riccardo De Robertis, Paolo Tinazzi Martini, Emanuele Demozzi, Gino Puntel, Silvia Ortolani, Sara Cingarlini, Andrea Ruzzenente, Alfredo Guglielmi, Giampaolo Tortora, Claudio Bassi, Paolo Pederzoli, Mirko D’Onofrio. Prognostication and response assessment in liver and pancreatic tumors: The new imagingWorld Journal of Gastroenterology 2015; 21(22): 6794-6808 doi: 10.3748/wjg.v21.i22.6794
5
Jagjeet Singh, Sanjiv Sharma, Neeti Aggarwal, R G Sood, Shikha Sood, Ravinder Sidhu. Role of Perfusion CT Differentiating Hemangiomas from Malignant Hepatic LesionsJournal of Clinical Imaging Science 2014; 4: 10 doi: 10.4103/2156-7514.127959
6
Se Hyung Kim, Aya Kamaya, Jürgen K. Willmann. CT Perfusion of the Liver: Principles and Applications in OncologyRadiology 2014; 272(2): 322 doi: 10.1148/radiol.14130091
7
Yuan Wang, Brian P. Hobbs, Chaan S. Ng. CT Perfusion Characteristics Identify Metastatic Sites in LiverBioMed Research International 2015; 2015: 1 doi: 10.1155/2015/120749
8
S. Milin, L. Brunaud, X. Orry, C. Bastien, M. Klein, L. Bresler, V. Laurent. Prevalence of hepatic lesion types defined by T2-weighted and dynamic gadolinium-enhanced MR imaging in patients with metastasized neuroendocrine tumorsAbdominal Radiology 2016; 41(11): 2132 doi: 10.1007/s00261-016-0814-8
9
Rocio Garcia-Carbonero, Roberto Garcia-Figueiras, Alberto Carmona-Bayonas, Isabel Sevilla, Alex Teule, Maria Quindos, Enrique Grande, Jaume Capdevila, Javier Aller, Javier Arbizu, Paula Jimenez-Fonseca. Imaging approaches to assess the therapeutic response of gastroenteropancreatic neuroendocrine tumors (GEP-NETs): current perspectives and future trends of an exciting field in developmentCancer and Metastasis Reviews 2015; 34(4): 823 doi: 10.1007/s10555-015-9598-5
10
N. Kartalis, K. Brehmer, L. Loizou. Multi-detector CT: Liver protocol and recent developmentsEuropean Journal of Radiology 2017; 97: 101 doi: 10.1016/j.ejrad.2017.10.026
11
Roberto García-Figueiras, Vicky J. Goh, Anwar R. Padhani, Sandra Baleato-González, Miguel Garrido, Luis León, Antonio Gómez-Caamaño. CT Perfusion in Oncologic Imaging: A Useful Tool?American Journal of Roentgenology 2013; 200(1): 8 doi: 10.2214/AJR.11.8476
12
Aaron So, Errol Stewart, Christopher d’Esterre, Timothy Chi Yeung, Glenn Bauman, Nikolaj Jensen, Eugene Wong, Ting-Yim Lee. Multi-Detector CT Imaging2013; : 25 doi: 10.1201/b15603-4
13
Daniel M. Halperin, J. Jack Lee, Chaan S. Ng, Jonathan R. Strosberg, Jeannelyn S. Estrella, Cecile G. Dagohoy, Arvind Dasari, James C. Yao. A Phase II Trial of Ziv-Aflibercept in Patients With Advanced Pancreatic Neuroendocrine TumorsPancreas 2019; 48(3): 381 doi: 10.1097/MPA.0000000000001258
14
Rodolfo Sacco. Assessment of radiologic response to targeted therapies in patients with hepatocellular carcinomaFuture Oncology 2014; 10(13): 2073 doi: 10.2217/fon.14.92
15
Chaan S. Ng, Wei Wei, Cihan Duran, Payel Ghosh, Ella F. Anderson, Adam G. Chandler, James C. Yao. CT perfusion in normal liver and liver metastases from neuroendocrine tumors treated with targeted antivascular agentsAbdominal Radiology 2018; 43(7): 1661 doi: 10.1007/s00261-017-1367-1