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For: Sotoudeh H, Shafaat O, Bernstock JD, Brooks MD, Elsayed GA, Chen JA, Szerip P, Chagoya G, Gessler F, Sotoudeh E, Shafaat A, Friedman GK. Artificial Intelligence in the Management of Glioma: Era of Personalized Medicine. Front Oncol 2019;9:768. [PMID: 31475111 DOI: 10.3389/fonc.2019.00768] [Cited by in Crossref: 26] [Cited by in F6Publishing: 25] [Article Influence: 8.7] [Reference Citation Analysis]
Number Citing Articles
1 Ebrahimi Zade A, Shahabi Haghighi S, Soltani M. Deep Neural Networks for Neuro-oncology: Towards Patient Individualized Design of Chemo-Radiation Therapy for Glioblastoma Patients. Journal of Biomedical Informatics 2022. [DOI: 10.1016/j.jbi.2022.104006] [Reference Citation Analysis]
2 van Kempen EJ, Post M, Mannil M, Kusters B, Ter Laan M, Meijer FJA, Henssen DJHA. Accuracy of Machine Learning Algorithms for the Classification of Molecular Features of Gliomas on MRI: A Systematic Literature Review and Meta-Analysis. Cancers (Basel) 2021;13:2606. [PMID: 34073309 DOI: 10.3390/cancers13112606] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Gonçalves FG, Chawla S, Mohan S. Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma. J Magn Reson Imaging 2020;52:978-97. [PMID: 32190946 DOI: 10.1002/jmri.27105] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Chen L, Zhou J, Li L, Zhao J, Li H, Zheng W, Xu J, Jing Z. SLC39A7 promotes malignant behaviors in glioma via the TNF-α-mediated NF-κB signaling pathway. J Cancer 2021;12:4530-41. [PMID: 34149917 DOI: 10.7150/jca.54158] [Reference Citation Analysis]
5 Aftab K, Aamir FB, Mallick S, Mubarak F, Pope WB, Mikkelsen T, Rock JP, Enam SA. Radiomics for precision medicine in glioblastoma. J Neurooncol 2022. [PMID: 35020109 DOI: 10.1007/s11060-021-03933-1] [Reference Citation Analysis]
6 Srinivasan M, Thangaraj SR, Ramasubramanian K, Thangaraj PP, Ramasubramanian KV. Exploring the Current Trends of Artificial Intelligence in Stem Cell Therapy: A Systematic Review. Cureus 2021;13:e20083. [PMID: 34873560 DOI: 10.7759/cureus.20083] [Reference Citation Analysis]
7 Ghoshal UC, Rai S, Kulkarni A, Gupta A. Prediction of outcome of treatment of acute severe ulcerative colitis using principal component analysis and artificial intelligence. JGH Open. 2020;4:889-897. [PMID: 33102760 DOI: 10.1002/jgh3.12342] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
8 Khan AA, Ibad H, Ahmed KS, Hoodbhoy Z, Shamim SM. Deep learning applications in neuro-oncology. Surg Neurol Int 2021;12:435. [PMID: 34513198 DOI: 10.25259/SNI_433_2021] [Reference Citation Analysis]
9 Ruini C, Schlingmann S, Jonke Ž, Avci P, Padrón-Laso V, Neumeier F, Koveshazi I, Ikeliani IU, Patzer K, Kunrad E, Kendziora B, Sattler E, French LE, Hartmann D. Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy. Cancers (Basel) 2021;13:5522. [PMID: 34771684 DOI: 10.3390/cancers13215522] [Reference Citation Analysis]
10 Zhao R, Krauze AV. Survival Prediction in Gliomas: Current State and Novel Approaches. In: Debinski W, editor. Gliomas. Exon Publications; 2021. pp. 151-70. [DOI: 10.36255/exonpublications.gliomas.2021.chapter9] [Reference Citation Analysis]
11 Sakai Y, Yang C, Kihira S, Tsankova N, Khan F, Hormigo A, Lai A, Cloughesy T, Nael K. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting. Int J Mol Sci 2020;21:E8004. [PMID: 33121211 DOI: 10.3390/ijms21218004] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
12 Álvarez-Torres MDM, Fuster-García E, Balaña C, Puig J, García-Gómez JM. Lack of Benefit of Extending Temozolomide Treatment in Patients with High Vascular Glioblastoma with Methylated MGMT. Cancers (Basel) 2021;13:5420. [PMID: 34771583 DOI: 10.3390/cancers13215420] [Reference Citation Analysis]
13 Ebrahimi Zade A, Shahabi Haghighi S, Soltani M. A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients. J Biomed Inform 2021;115:103694. [PMID: 33545332 DOI: 10.1016/j.jbi.2021.103694] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
14 Zhao J, Jiang Y, Chen L, Ma Y, Zhang H, Zhou J, Li H, Jing Z. The EIF4A3/CASC2/RORA Feedback Loop Regulates the Aggressive Phenotype in Glioblastomas. Front Oncol 2021;11:699933. [PMID: 34408982 DOI: 10.3389/fonc.2021.699933] [Reference Citation Analysis]
15 Booth TC, Thompson G, Bulbeck H, Boele F, Buckley C, Cardoso J, Dos Santos Canas L, Jenkinson D, Ashkan K, Kreindler J, Huskens N, Luis A, McBain C, Mills SJ, Modat M, Morley N, Murphy C, Ourselin S, Pennington M, Powell J, Summers D, Waldman AD, Watts C, Williams M, Grant R, Jenkinson MD. A Position Statement on the Utility of Interval Imaging in Standard of Care Brain Tumour Management: Defining the Evidence Gap and Opportunities for Future Research. Front Oncol 2021;11:620070. [PMID: 33634034 DOI: 10.3389/fonc.2021.620070] [Reference Citation Analysis]
16 Sesé B, Ensenyat-Mendez M, Iñiguez S, Llinàs-Arias P, Marzese DM. Chromatin insulation dynamics in glioblastoma: challenges and future perspectives of precision oncology. Clin Epigenetics 2021;13:150. [PMID: 34332627 DOI: 10.1186/s13148-021-01139-w] [Reference Citation Analysis]
17 de Marco Borges PH, Lizar JC, Faustino ACC, Arruda GV, Pavoni JF. Kurtosis is An MRI Radiomics Feature Predictor of Poor Prognosis in Patients with GBM. Braz J Phys 2021;51:1035-42. [DOI: 10.1007/s13538-021-00912-9] [Reference Citation Analysis]
18 Riva M, Lopci E, Gay LG, Nibali MC, Rossi M, Sciortino T, Castellano A, Bello L. Advancing Imaging to Enhance Surgery: From Image to Information Guidance. Neurosurg Clin N Am 2021;32:31-46. [PMID: 33223024 DOI: 10.1016/j.nec.2020.08.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
19 Balaji E V, Kumar N, Satarker S, Nampoothiri M. Zinc as a plausible epigenetic modulator of glioblastoma multiforme. Eur J Pharmacol 2020;887:173549. [PMID: 32926916 DOI: 10.1016/j.ejphar.2020.173549] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
20 Brar K, Hachem LD, Badhiwala JH, Mau C, Zacharia BE, de Moraes FY, Pirouzmand F, Mansouri A. Management of Diffuse Low-Grade Glioma: The Renaissance of Robust Evidence. Front Oncol 2020;10:575658. [PMID: 33117714 DOI: 10.3389/fonc.2020.575658] [Reference Citation Analysis]
21 Chandra Joshi R, Mishra R, Gandhi P, Pathak VK, Burget R, Dutta MK. Ensemble based machine learning approach for prediction of glioma and multi-grade classification. Comput Biol Med 2021;137:104829. [PMID: 34508971 DOI: 10.1016/j.compbiomed.2021.104829] [Reference Citation Analysis]
22 Sepehri K, Song X, Proulx R, Hajra SG, Dobberthien B, Liu CC, D'Arcy RCN, Murray D, Krauze AV. Towards effective machine learning in medical imaging analysis: A novel approach and expert evaluation of high-grade glioma 'ground truth' simulation on MRI. Int J Med Inform 2021;146:104348. [PMID: 33285357 DOI: 10.1016/j.ijmedinf.2020.104348] [Reference Citation Analysis]
23 Richardson ML, Garwood ER, Lee Y, Li MD, Lo HS, Nagaraju A, Nguyen XV, Probyn L, Rajiah P, Sin J, Wasnik AP, Xu K. Noninterpretive Uses of Artificial Intelligence in Radiology. Acad Radiol 2021;28:1225-35. [PMID: 32059956 DOI: 10.1016/j.acra.2020.01.012] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
24 Lotan E, Zhang B, Dogra S, Wang WD, Carbone D, Fatterpekar G, Oermann EK, Lui YW. Development and Practical Implementation of a Deep Learning-Based Pipeline for Automated Pre- and Postoperative Glioma Segmentation. AJNR Am J Neuroradiol 2021. [PMID: 34857514 DOI: 10.3174/ajnr.A7363] [Reference Citation Analysis]
25 Paprottka KJ, Kleiner S, Preibisch C, Kofler F, Schmidt-Graf F, Delbridge C, Bernhardt D, Combs SE, Gempt J, Meyer B, Zimmer C, Menze BH, Yakushev I, Kirschke JS, Wiestler B. Fully automated analysis combining [18F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression. Eur J Nucl Med Mol Imaging 2021. [PMID: 34173008 DOI: 10.1007/s00259-021-05427-8] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
26 Jiang Y, Zhou J, Zhao J, Hou D, Zhang H, Li L, Zou D, Hu J, Zhang Y, Jing Z. MiR-18a-downregulated RORA inhibits the proliferation and tumorigenesis of glioma using the TNF-α-mediated NF-κB signaling pathway. EBioMedicine 2020;52:102651. [PMID: 32062354 DOI: 10.1016/j.ebiom.2020.102651] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 7.0] [Reference Citation Analysis]
27 Bernstock JD, Vicario N, Rong L, Valdes PA, Choi BD, Chen JA, DiToro D, Osorio DS, Kachurak K, Gessler F, Johnston JM Jr, Atkinson TP, Whitley RJ, Bag AK, Gillespie GY, Markert JM, Maric D, Friedman GK. A novel in situ multiplex immunofluorescence panel for the assessment of tumor immunopathology and response to virotherapy in pediatric glioblastoma reveals a role for checkpoint protein inhibition. Oncoimmunology 2019;8:e1678921. [PMID: 31741780 DOI: 10.1080/2162402X.2019.1678921] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
28 Pasquini L, Napolitano A, Lucignani M, Tagliente E, Dellepiane F, Rossi-Espagnet MC, Ritrovato M, Vidiri A, Villani V, Ranazzi G, Stoppacciaro A, Romano A, Di Napoli A, Bozzao A. AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well? Front Oncol 2021;11:601425. [PMID: 34888226 DOI: 10.3389/fonc.2021.601425] [Reference Citation Analysis]
29 Alves CAPF, Löbel U, Martin-Saavedra JS, Toescu S, Tsunemi MH, Teixeira SR, Mankad K, Hargrave D, Jacques TS, da Costa Leite C, Gonçalves FG, Vossough A, D'Arco F. A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study. AJNR Am J Neuroradiol 2021;42:961-8. [PMID: 33664107 DOI: 10.3174/ajnr.A7057] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
30 Majewska P, Sagberg LM, Reinertsen I, Gulati S, Jakola AS, Solheim O. What is the current clinico-radiological diagnostic accuracy for intracranial tumours? Acta Neurol Scand 2021;144:142-8. [PMID: 33960409 DOI: 10.1111/ane.13430] [Reference Citation Analysis]
31 Reuter G, Moïse M, Roll W, Martin D, Lombard A, Scholtes F, Stummer W, Suero Molina E. Conventional and advanced imaging throughout the cycle of care of gliomas. Neurosurg Rev 2021. [PMID: 33411093 DOI: 10.1007/s10143-020-01448-3] [Reference Citation Analysis]
32 Kobayashi K, Miyake M, Takahashi M, Hamamoto R. Observing deep radiomics for the classification of glioma grades. Sci Rep 2021;11:10942. [PMID: 34035410 DOI: 10.1038/s41598-021-90555-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
33 Wawrzkiewicz-Jałowiecka A, Trybek P, Dworakowska B, Machura Ł. Multifractal Properties of BK Channel Currents in Human Glioblastoma Cells. J Phys Chem B 2020;124:2382-91. [PMID: 32129626 DOI: 10.1021/acs.jpcb.0c00397] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]