Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image
暂无分享,去创建一个
Q. Dong | Chengzhan Zhu | Jingjing Chen | N. Xia | Xue Chen | Feifei Wang | Zheng Li | Ling Zhu
[1] S. Nara,et al. Automated Three-Dimensional Liver Reconstruction with Artificial Intelligence for Virtual Hepatectomy , 2022, Journal of Gastrointestinal Surgery.
[2] Chen Chen,et al. Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism , 2022, BMC Medical Informatics and Decision Making.
[3] W. Cai,et al. Radiomics Analysis of Gd-EOB-DTPA Enhanced Hepatic MRI for Assessment of Functional Liver Reserve. , 2021, Academic radiology.
[4] A. Jemal,et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries , 2021, CA: a cancer journal for clinicians.
[5] Jun-Tao Ji,et al. A cohort study of hepatectomy-related complications and prediction model for postoperative liver failure after major liver resection in 1,441 patients without obstructive jaundice , 2021, Annals of translational medicine.
[6] D. Gu,et al. Radiomics in liver diseases: Current progress and future opportunities , 2020, Liver international : official journal of the International Association for the Study of the Liver.
[7] Yupeng Zhang,et al. Radiomics features on non-contrast-enhanced CT scan can precisely classify AVM-related hematomas from other spontaneous intraparenchymal hematoma types , 2018, European Radiology.
[8] M. Field,et al. The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review , 2018, Translational Cancer Research.
[9] J. Bruix,et al. Diagnosis and staging of hepatocellular carcinoma (HCC): current guidelines. , 2018, European journal of radiology.
[10] J. Choi. Radiomics and Deep Learning in Clinical Imaging: What Should We Do? , 2018, Nuclear Medicine and Molecular Imaging.
[11] Aya Kamaya,et al. 2017 Version of LI-RADS for CT and MR Imaging: An Update. , 2017, Radiographics : a review publication of the Radiological Society of North America, Inc.
[12] P. Lambin,et al. Radiomics: the bridge between medical imaging and personalized medicine , 2017, Nature Reviews Clinical Oncology.
[13] Fridtjof Nüsslin,et al. “Radio-oncomics” , 2017, Strahlentherapie und Onkologie.
[14] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[15] A. De Gasperi,et al. Indocyanine green kinetics to assess liver function: Ready for a clinical dynamic assessment in major liver surgery? , 2016, World journal of hepatology.
[16] J. Lee,et al. Noninvasive Diagnosis of Hepatocellular Carcinoma: Elaboration on Korean Liver Cancer Study Group-National Cancer Center Korea Practice Guidelines Compared with Other Guidelines and Remaining Issues , 2016, Korean journal of radiology.
[17] B. Hamm,et al. Imaging-Based Liver Function Tests – Past, Present and Future , 2015, Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.
[18] C. Sirlin,et al. CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features. , 2014, Radiology.
[19] Hyung Jin Won,et al. Assessment of Hepatic Function with Gd-EOB-DTPA-Enhanced Hepatic MRI , 2012, Digestive Diseases.
[20] H. Hussain,et al. Primovist, Eovist: what to expect? , 2012, Journal of hepatology.
[21] C. Moulton,et al. Predictors of peri-opertative morbidity and liver dysfunction after hepatic resection in patients with chronic liver disease. , 2011, HPB : the official journal of the International Hepato Pancreato Biliary Association.
[22] E. Taioli,et al. Oral HPV Infection and Sexuality: A Cross-Sectional Study in Women , 2011, International journal of molecular sciences.
[23] N. Kokudo,et al. Assessment of liver function for safe hepatic resection , 2009, Hepatology research : the official journal of the Japan Society of Hepatology.
[24] Rajiv Jalan,et al. Liver failure after partial hepatic resection: definition, pathophysiology, risk factors and treatment , 2008, Liver international : official journal of the International Association for the Study of the Liver.
[25] P. Giral,et al. Sampling variability of liver biopsy in nonalcoholic fatty liver disease. , 2005, Gastroenterology.
[26] Y. Matsui,et al. Functional hepatic volume measured by technetium-99m-galactosyl-human serum albumin liver scintigraphy: comparison between hepatocyte volume and liver volume by computed tomography , 2001, American Journal of Gastroenterology.
[27] S. Kawasaki,et al. Surgery for small liver cancers. , 1993, Seminars in surgical oncology.
[28] Robert Kerrin Hills,et al. Research on Cancer , 1925, Nature.
[29] Tessa S Cook,et al. The Importance of Imaging Informatics and Informaticists in the Implementation of AI. , 2019, Academic radiology.
[30] Hongyang Wang,et al. Precision diagnosis and treatment of liver cancer in China. , 2018, Cancer letters.
[31] Robert M. Marks,et al. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. , 2018, Radiology.
[32] Junqi Guo,et al. A data-driven framework for learners' cognitive load detection using ECG-PPG physiological feature fusion and XGBoost classification , 2018, IIKI.
[33] G. Gores,et al. Hepatocellular carcinoma , 2016, Nature Reviews Disease Primers.
[34] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[35] D. Woodfield. Hepatocellular carcinoma. , 1986, The New Zealand medical journal.
[36] E. Somers. International Agency for Research on Cancer. , 1985, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.