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Year | Number of Results |
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2019 | 1 |
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Page 1
Radiological Diagnosis of Soft Tissue Tumors in Adults: MRI Imaging of Selected Entities Delineating Benign and Malignant Tumors.
Rofo. 2019 Apr;191(4):323-332. doi: 10.1055/a-0715-2205. Epub 2018 Dec 18.
Rofo. 2019.
PMID: 30562830
Free article.
English, German.
Radiomics and Clinicopathological Characteristics for Predicting Lymph Node Metastasis in Testicular Cancer.
Lisson CS, Manoj S, Wolf D, Lisson CG, Schmidt SA, Beer M, Thaiss W, Bolenz C, Zengerling F, Goetz M.
Lisson CS, et al.
Cancers (Basel). 2023 Nov 29;15(23):5630. doi: 10.3390/cancers15235630.
Cancers (Basel). 2023.
PMID: 38067334
Free PMC article.
Item in Clipboard
Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma.
Lisson CS, Lisson CG, Mezger MF, Wolf D, Schmidt SA, Thaiss WM, Tausch E, Beer AJ, Stilgenbauer S, Beer M, Goetz M.
Lisson CS, et al.
Cancers (Basel). 2022 Apr 15;14(8):2008. doi: 10.3390/cancers14082008.
Cancers (Basel). 2022.
PMID: 35454914
Free PMC article.
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Longitudinal CT Imaging to Explore the Predictive Power of 3D Radiomic Tumour Heterogeneity in Precise Imaging of Mantle Cell Lymphoma (MCL).
Lisson CS, Lisson CG, Achilles S, Mezger MF, Wolf D, Schmidt SA, Thaiss WM, Bloehdorn J, Beer AJ, Stilgenbauer S, Beer M, Götz M.
Lisson CS, et al.
Cancers (Basel). 2022 Jan 13;14(2):393. doi: 10.3390/cancers14020393.
Cancers (Basel). 2022.
PMID: 35053554
Free PMC article.
Item in Clipboard
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.
Wolf D, Payer T, Lisson CS, Lisson CG, Beer M, Götz M, Ropinski T.
Wolf D, et al. Among authors: lisson cs.
Sci Rep. 2023 Nov 20;13(1):20260. doi: 10.1038/s41598-023-46433-0.
Sci Rep. 2023.
PMID: 37985685
Free PMC article.
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