Co-Authors
This is a "connection" page, showing publications co-authored by KHALED M ELSAYES and JOHN D HAZLE.
Connection Strength
1.318
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Multimodality annotated hepatocellular carcinoma data set including pre-?and post-TACE with imaging segmentation. Sci Data. 2023 01 18; 10(1):33.
Score: 0.220
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Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans. Abdom Radiol (NY). 2021 10; 46(10):4853-4863.
Score: 0.196
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Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Front Oncol. 2020; 10:572.
Score: 0.182
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Hepatocellular carcinoma response to transcatheter arterial chemoembolisation using automatically generated pre-therapeutic tumour volumes by a random forest-based segmentation protocol. Clin Radiol. 2019 Dec; 74(12):974.e13-974.e20.
Score: 0.174
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Machine learning-based texture analysis for differentiation of large adrenal cortical tumours on CT. Clin Radiol. 2019 Oct; 74(10):818.e1-818.e7.
Score: 0.173
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Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study. J Comput Assist Tomogr. 2019 May/Jun; 43(3):499-506.
Score: 0.170
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Role of Wnt/?-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance. J Hepatocell Carcinoma. 2018; 5:61-73.
Score: 0.160
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A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization. Radiol Artif Intell. 2019 Sep; 1(5).
Score: 0.044