Montavon G - Search Results

1

Toward Explainable Artificial Intelligence for Precision Pathology.

Klauschen F, Dippel J, Keyl P, Jurmeister P, Bockmayr M, Mock A, Buchstab O, Alber M, Ruff L, Montavon G, Müller KR. Klauschen F, et al. Among authors: montavon g. Annu Rev Pathol. 2024 Jan 24;19:541-570. doi: 10.1146/annurev-pathmechdis-051222-113147. Epub 2023 Oct 23. Annu Rev Pathol. 2024. PMID: 37871132 Free article. Review.

2

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation.

Bach S, Binder A, Montavon G, Klauschen F, Müller KR, Samek W. Bach S, et al. Among authors: montavon g. PLoS One. 2015 Jul 10;10(7):e0130140. doi: 10.1371/journal.pone.0130140. eCollection 2015. PLoS One. 2015. PMID: 26161953 Free PMC article.

3

Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies.

Hansen K, Montavon G, Biegler F, Fazli S, Rupp M, Scheffler M, von Lilienfeld OA, Tkatchenko A, Müller KR. Hansen K, et al. Among authors: montavon g. J Chem Theory Comput. 2013 Aug 13;9(8):3404-19. doi: 10.1021/ct400195d. Epub 2013 Jul 30. J Chem Theory Comput. 2013. PMID: 26584096

4

Evaluating the Visualization of What a Deep Neural Network Has Learned.

Samek W, Binder A, Montavon G, Lapuschkin S, Muller KR. Samek W, et al. Among authors: montavon g. IEEE Trans Neural Netw Learn Syst. 2017 Nov;28(11):2660-2673. doi: 10.1109/TNNLS.2016.2599820. IEEE Trans Neural Netw Learn Syst. 2017. PMID: 27576267

5

"What is relevant in a text document?": An interpretable machine learning approach.

Arras L, Horn F, Montavon G, Müller KR, Samek W. Arras L, et al. Among authors: montavon g. PLoS One. 2017 Aug 11;12(8):e0181142. doi: 10.1371/journal.pone.0181142. eCollection 2017. PLoS One. 2017. PMID: 28800619 Free PMC article.

6

Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers.

Heim D, Montavon G, Hufnagl P, Müller KR, Klauschen F. Heim D, et al. Among authors: montavon g. Genome Med. 2018 Nov 15;10(1):83. doi: 10.1186/s13073-018-0591-9. Genome Med. 2018. PMID: 30442178 Free PMC article.

7

Unmasking Clever Hans predictors and assessing what machines really learn.

Lapuschkin S, Wäldchen S, Binder A, Montavon G, Samek W, Müller KR. Lapuschkin S, et al. Among authors: montavon g. Nat Commun. 2019 Mar 11;10(1):1096. doi: 10.1038/s41467-019-08987-4. Nat Commun. 2019. PMID: 30858366 Free PMC article.

8

Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases.

Jurmeister P, Bockmayr M, Seegerer P, Bockmayr T, Treue D, Montavon G, Vollbrecht C, Arnold A, Teichmann D, Bressem K, Schüller U, von Laffert M, Müller KR, Capper D, Klauschen F. Jurmeister P, et al. Among authors: montavon g. Sci Transl Med. 2019 Sep 11;11(509):eaaw8513. doi: 10.1126/scitranslmed.aaw8513. Sci Transl Med. 2019. PMID: 31511427

9

Patient-level proteomic network prediction by explainable artificial intelligence.

Keyl P, Bockmayr M, Heim D, Dernbach G, Montavon G, Müller KR, Klauschen F. Keyl P, et al. Among authors: montavon g. NPJ Precis Oncol. 2022 Jun 7;6(1):35. doi: 10.1038/s41698-022-00278-4. NPJ Precis Oncol. 2022. PMID: 35672443 Free PMC article.

10

From Clustering to Cluster Explanations via Neural Networks.

Kauffmann J, Esders M, Ruff L, Montavon G, Samek W, Muller KR. Kauffmann J, et al. Among authors: montavon g. IEEE Trans Neural Netw Learn Syst. 2024 Feb;35(2):1926-1940. doi: 10.1109/TNNLS.2022.3185901. Epub 2024 Feb 5. IEEE Trans Neural Netw Learn Syst. 2024. PMID: 35797317

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