BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Kaissis G, Ziegelmayer S, Lohöfer F, Steiger K, Algül H, Muckenhuber A, Yen HY, Rummeny E, Friess H, Schmid R, Weichert W, Siveke JT, Braren R. A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy. PLoS One 2019;14:e0218642. [PMID: 31577805 DOI: 10.1371/journal.pone.0218642] [Cited by in Crossref: 24] [Cited by in F6Publishing: 17] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
1 Hang J, Xu K, Yin R, Shao Y, Liu M, Shi H, Wang X, Wu L. Role of CT texture features for predicting outcome of pancreatic cancer patients with liver metastases. J Cancer 2021;12:2351-8. [PMID: 33758611 DOI: 10.7150/jca.49569] [Reference Citation Analysis]
2 Kaur P, Singh A, Chana I. Computational Techniques and Tools for Omics Data Analysis: State-of-the-Art, Challenges, and Future Directions. Arch Computat Methods Eng. [DOI: 10.1007/s11831-021-09547-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
3 Liang L, Ding Y, Yu Y, Liu K, Rao S, Ge Y, Zeng M. Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study. BMC Med Imaging 2021;21:75. [PMID: 33902469 DOI: 10.1186/s12880-021-00605-4] [Reference Citation Analysis]
4 Tang TY, Li X, Zhang Q, Guo CX, Zhang XZ, Lao MY, Shen YN, Xiao WB, Ying SH, Sun K, Yu RS, Gao SL, Que RS, Chen W, Huang DB, Pang PP, Bai XL, Liang TB. Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer. J Magn Reson Imaging 2020;52:231-45. [PMID: 31867839 DOI: 10.1002/jmri.27024] [Cited by in Crossref: 21] [Cited by in F6Publishing: 17] [Article Influence: 10.5] [Reference Citation Analysis]
5 Hernández-Lemus E, Martínez-García M. Pathway-Based Drug-Repurposing Schemes in Cancer: The Role of Translational Bioinformatics. Front Oncol 2020;10:605680. [PMID: 33520715 DOI: 10.3389/fonc.2020.605680] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Mendoza Ladd A, Diehl DL. Artificial intelligence for early detection of pancreatic adenocarcinoma: The future is promising. World J Gastroenterol 2021;27:1283-95. [PMID: 33833482 DOI: 10.3748/wjg.v27.i13.1283] [Reference Citation Analysis]
7 Landers M, Saria S, Espay AJ. Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson's Disease? J Parkinsons Dis 2021;11:S117-22. [PMID: 34219671 DOI: 10.3233/JPD-212545] [Reference Citation Analysis]
8 Lin H, Xue X, Wang X, Dang S, Gu M. Application of artificial intelligence for the diagnosis, treatment, and prognosis of pancreatic cancer. AIG 2020;1:19-29. [DOI: 10.35712/aig.v1.i1.19] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Lee JC, Woo SM, Shin DW, Kim J, Yang SY, Kim MJ, Kim JW, Kim JW, Lee WJ, Cha HS, Park P, Kim J, Hwang JH. Comparison of FOLFIRINOX and Gemcitabine Plus Nab-paclitaxel for Treatment of Metastatic Pancreatic Cancer: Using Korean Pancreatic Cancer (K-PaC) Registry. Am J Clin Oncol 2020;43:654-9. [PMID: 32889836 DOI: 10.1097/COC.0000000000000730] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
10 Warnat-Herresthal S, Schultze H, Shastry KL, Manamohan S, Mukherjee S, Garg V, Sarveswara R, Händler K, Pickkers P, Aziz NA, Ktena S, Tran F, Bitzer M, Ossowski S, Casadei N, Herr C, Petersheim D, Behrends U, Kern F, Fehlmann T, Schommers P, Lehmann C, Augustin M, Rybniker J, Altmüller J, Mishra N, Bernardes JP, Krämer B, Bonaguro L, Schulte-Schrepping J, De Domenico E, Siever C, Kraut M, Desai M, Monnet B, Saridaki M, Siegel CM, Drews A, Nuesch-Germano M, Theis H, Heyckendorf J, Schreiber S, Kim-Hellmuth S, Nattermann J, Skowasch D, Kurth I, Keller A, Bals R, Nürnberg P, Rieß O, Rosenstiel P, Netea MG, Theis F, Mukherjee S, Backes M, Aschenbrenner AC, Ulas T, Breteler MMB, Giamarellos-Bourboulis EJ, Kox M, Becker M, Cheran S, Woodacre MS, Goh EL, Schultze JL; COVID-19 Aachen Study (COVAS)., Deutsche COVID-19 Omics Initiative (DeCOI). Swarm Learning for decentralized and confidential clinical machine learning. Nature 2021;594:265-70. [PMID: 34040261 DOI: 10.1038/s41586-021-03583-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
11 Feng Z, Li K, Lou J, Wu Y, Peng C. An EMT-Related Gene Signature for Predicting Response to Adjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma. Front Cell Dev Biol 2021;9:665161. [PMID: 33996821 DOI: 10.3389/fcell.2021.665161] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
12 Kaissis GA, Makowski MR, Rückert D, Braren RF. Secure, privacy-preserving and federated machine learning in medical imaging. Nat Mach Intell 2020;2:305-11. [DOI: 10.1038/s42256-020-0186-1] [Cited by in Crossref: 51] [Cited by in F6Publishing: 7] [Article Influence: 51.0] [Reference Citation Analysis]
13 Gorris M, Hoogenboom SA, Wallace MB, van Hooft JE. Artificial intelligence for the management of pancreatic diseases. Dig Endosc 2021;33:231-41. [PMID: 33065754 DOI: 10.1111/den.13875] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
14 Virarkar M, Wong VK, Morani AC, Tamm EP, Bhosale P. Update on quantitative radiomics of pancreatic tumors. Abdom Radiol (NY) 2021. [PMID: 34292365 DOI: 10.1007/s00261-021-03216-3] [Reference Citation Analysis]
15 Kaissis GA, Ziegelmayer S, Lohöfer FK, Harder FN, Jungmann F, Sasse D, Muckenhuber A, Yen HY, Steiger K, Siveke J, Friess H, Schmid R, Weichert W, Makowski MR, Braren RF. Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma. J Clin Med 2020;9:E724. [PMID: 32155990 DOI: 10.3390/jcm9030724] [Cited by in Crossref: 13] [Cited by in F6Publishing: 7] [Article Influence: 13.0] [Reference Citation Analysis]
16 Kaissis GA, Jungmann F, Ziegelmayer S, Lohöfer FK, Harder FN, Schlitter AM, Muckenhuber A, Steiger K, Schirren R, Friess H, Schmid R, Weichert W, Makowski MR, Braren RF. Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters. J Clin Med 2020;9:E1250. [PMID: 32344944 DOI: 10.3390/jcm9051250] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
17 Abunahel BM, Pontre B, Kumar H, Petrov MS. Pancreas image mining: a systematic review of radiomics. Eur Radiol 2021;31:3447-67. [PMID: 33151391 DOI: 10.1007/s00330-020-07376-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]