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For: Mähringer‐kunz A, Wagner F, Hahn F, Weinmann A, Brodehl S, Schotten S, Hinrichs JB, Düber C, Galle PR, Pinto dos Santos D, Kloeckner R. Predicting survival after transarterial chemoembolization for hepatocellular carcinoma using a neural network: A Pilot Study. Liver Int 2019;40:694-703. [DOI: 10.1111/liv.14380] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Hatzidakis A, Müller L, Krokidis M, Kloeckner R. Local and Regional Therapies for Hepatocellular Carcinoma and Future Combinations. Cancers (Basel) 2022;14:2469. [PMID: 35626073 DOI: 10.3390/cancers14102469] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Christou CD, Tsoulfas G. Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma: Challenges and opportunities. World J Gastrointest Oncol 2022; 14(4): 765-793 [DOI: 10.4251/wjgo.v14.i4.765] [Reference Citation Analysis]
3 Liu P, Zhu H, Zhu H, Zhang X, Feng A, Zhu X, Sun Y. Predicting survival for hepatic arterial infusion chemotherapy of unresectable colorectal liver metastases: Radiomics analysis of pretreatment computed tomography. Journal of Translational Internal Medicine 2022;10:56-64. [DOI: 10.2478/jtim-2022-0004] [Reference Citation Analysis]
4 Müller L, Hahn F, Auer TA, Fehrenbach U, Gebauer B, Haubold J, Zensen S, Kim MS, Eisenblätter M, Diallo TD, Bettinger D, Steinle V, Chang DH, Zopfs D, Pinto Dos Santos D, Kloeckner R. Tumor Burden in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Head-to-Head Comparison of Current Scoring Systems. Front Oncol 2022;12:850454. [PMID: 35280804 DOI: 10.3389/fonc.2022.850454] [Reference Citation Analysis]
5 Papaconstantinou D, Hewitt DB, Brown ZJ, Schizas D, Tsilimigras DI, Pawlik TM. Patient stratification in hepatocellular carcinoma: impact on choice of therapy. Expert Rev Anticancer Ther 2022. [PMID: 35157530 DOI: 10.1080/14737140.2022.2041415] [Reference Citation Analysis]
6 Li Y, Xu Z, An C, Chen H, Li X. Multi-Task Deep Learning Approach for Simultaneous Objective Response Prediction and Tumor Segmentation in HCC Patients with Transarterial Chemoembolization. JPM 2022;12:248. [DOI: 10.3390/jpm12020248] [Reference Citation Analysis]
7 Veerankutty FH, Jayan G, Yadav MK, Manoj KS, Yadav A, Nair SRS, Shabeerali TU, Yeldho V, Sasidharan M, Rather SA. Artificial Intelligence in hepatology, liver surgery and transplantation: Emerging applications and frontiers of research. World J Hepatol 2021; 13(12): 1977-1990 [DOI: 10.4254/wjh.v13.i12.1977] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Müller L, Hahn F, Mähringer-Kunz A, Stoehr F, Gairing SJ, Foerster F, Weinmann A, Galle PR, Mittler J, Pinto Dos Santos D, Pitton MB, Düber C, Fehrenbach U, Auer TA, Gebauer B, Kloeckner R. Prevalence and clinical significance of clinically evident portal hypertension in patients with hepatocellular carcinoma undergoing transarterial chemoembolization. United European Gastroenterol J 2021. [PMID: 34918471 DOI: 10.1002/ueg2.12188] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Bartnik K, Hołówko W, Rowiński O. Association between Time to Local Tumor Control and Treatment Outcomes Following Repeated Loco-Regional Treatment Session in Patients with Hepatocellular Carcinoma: A Retrospective, Single-Center Study. Life (Basel) 2021;11:1062. [PMID: 34685433 DOI: 10.3390/life11101062] [Reference Citation Analysis]
10 Müller L, Hahn F, Mähringer-Kunz A, Stoehr F, Gairing SJ, Michel M, Foerster F, Weinmann A, Galle PR, Mittler J, Pinto Dos Santos D, Pitton MB, Düber C, Kloeckner R. Immunonutritive Scoring for Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Evaluation of the CALLY Index. Cancers (Basel) 2021;13:5018. [PMID: 34638502 DOI: 10.3390/cancers13195018] [Reference Citation Analysis]
11 Kobe A, Zgraggen J, Messmer F, Puippe G, Sartoretti T, Alkadhi H, Pfammatter T, Mannil M. Prediction of treatment response to transarterial radioembolization of liver metastases: Radiomics analysis of pre-treatment cone-beam CT: A proof of concept study. Eur J Radiol Open 2021;8:100375. [PMID: 34485629 DOI: 10.1016/j.ejro.2021.100375] [Reference Citation Analysis]
12 Su TH, Wu CH, Kao JH. Artificial intelligence in precision medicine in hepatology. J Gastroenterol Hepatol 2021;36:569-80. [PMID: 33709606 DOI: 10.1111/jgh.15415] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
13 Müller L, Hahn F, Mähringer-Kunz A, Stoehr F, Gairing SJ, Foerster F, Weinmann A, Galle PR, Mittler J, Pinto Dos Santos D, Pitton MB, Düber C, Kloeckner R. Immunonutritive Scoring in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Prognostic Nutritional Index or Controlling Nutritional Status Score? Front Oncol 2021;11:696183. [PMID: 34178694 DOI: 10.3389/fonc.2021.696183] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Lang Q, Zhong C, Liang Z, Zhang Y, Wu B, Xu F, Cong L, Wu S, Tian Y. Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer. Artif Intell Rev 2021;54:5307-46. [DOI: 10.1007/s10462-021-10023-1] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Müller L, Stoehr F, Mähringer-Kunz A, Hahn F, Weinmann A, Kloeckner R. Current Strategies to Identify Patients That Will Benefit from TACE Treatment and Future Directions a Practical Step-by-Step Guide. J Hepatocell Carcinoma 2021;8:403-19. [PMID: 34012930 DOI: 10.2147/JHC.S285735] [Reference Citation Analysis]
16 Müller L, Mähringer-Kunz A, Gairing SJ, Foerster F, Weinmann A, Bartsch F, Heuft LK, Baumgart J, Düber C, Hahn F, Kloeckner R. Survival Prediction in Intrahepatic Cholangiocarcinoma: A Proof of Concept Study Using Artificial Intelligence for Risk Assessment. J Clin Med 2021;10:2071. [PMID: 34066001 DOI: 10.3390/jcm10102071] [Reference Citation Analysis]
17 Zhao Y, Wang N, Wu J, Zhang Q, Lin T, Yao Y, Chen Z, Wang M, Sheng L, Liu J, Song Q, Wang F, An X, Guo Y, Li X, Wu T, Liu AL. Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma. Front Oncol. 2021;11:582788. [PMID: 33868988 DOI: 10.3389/fonc.2021.582788] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
18 Zou ZM, Chang DH, Liu H, Xiao YD. Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know? Insights Imaging 2021;12:31. [PMID: 33675433 DOI: 10.1186/s13244-021-00977-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
19 Li S, Lin Y, Zhu T, Fan M, Xu S, Qiu W, Chen C, Li L, Wang Y, Yan J, Wong J, Naing L, Xu S. Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method. Neural Comput Appl 2021;:1-10. [PMID: 33424133 DOI: 10.1007/s00521-020-05592-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
20 Kloeckner R, Galle PR, Bruix J. Local and Regional Therapies for Hepatocellular Carcinoma. Hepatology 2021;73 Suppl 1:137-49. [PMID: 32557715 DOI: 10.1002/hep.31424] [Cited by in Crossref: 23] [Cited by in F6Publishing: 20] [Article Influence: 23.0] [Reference Citation Analysis]
21 Jiménez Pérez M, Grande RG. Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review. World J Gastroenterol 2020; 26(37): 5617-5628 [PMID: 33088156 DOI: 10.3748/wjg.v26.i37.5617] [Cited by in CrossRef: 13] [Cited by in F6Publishing: 11] [Article Influence: 6.5] [Reference Citation Analysis]