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DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters.
Neural Netw. 2023 Oct;167:517-532. doi: 10.1016/j.neunet.2023.08.026. Epub 2023 Aug 25.
Neural Netw. 2023.
PMID: 37690213
Free article.
Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics.
Krajnc D, Papp L, Nakuz TS, Magometschnigg HF, Grahovac M, Spielvogel CP, Ecsedi B, Bago-Horvath Z, Haug A, Karanikas G, Beyer T, Hacker M, Helbich TH, Pinker K.
Krajnc D, et al. Among authors: ecsedi b.
Cancers (Basel). 2021 Mar 12;13(6):1249. doi: 10.3390/cancers13061249.
Cancers (Basel). 2021.
PMID: 33809057
Free PMC article.
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Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma.
Zhao M, Kluge K, Papp L, Grahovac M, Yang S, Jiang C, Krajnc D, Spielvogel CP, Ecsedi B, Haug A, Wang S, Hacker M, Zhang W, Li X.
Zhao M, et al. Among authors: ecsedi b.
Eur Radiol. 2022 Oct;32(10):7056-7067. doi: 10.1007/s00330-022-08999-7. Epub 2022 Jul 28.
Eur Radiol. 2022.
PMID: 35896836
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Automated data preparation for in vivo tumor characterization with machine learning.
Krajnc D, Spielvogel CP, Grahovac M, Ecsedi B, Rasul S, Poetsch N, Traub-Weidinger T, Haug AR, Ritter Z, Alizadeh H, Hacker M, Beyer T, Papp L.
Krajnc D, et al. Among authors: ecsedi b.
Front Oncol. 2022 Oct 11;12:1017911. doi: 10.3389/fonc.2022.1017911. eCollection 2022.
Front Oncol. 2022.
PMID: 36303841
Free PMC article.
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Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.
Grahovac M, Spielvogel CP, Krajnc D, Ecsedi B, Traub-Weidinger T, Rasul S, Kluge K, Zhao M, Li X, Hacker M, Haug A, Papp L.
Grahovac M, et al. Among authors: ecsedi b.
Eur J Nucl Med Mol Imaging. 2023 May;50(6):1607-1620. doi: 10.1007/s00259-023-06127-1. Epub 2023 Feb 4.
Eur J Nucl Med Mol Imaging. 2023.
PMID: 36738311
Free PMC article.
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Sex-specific radiomic features of L-[S-methyl-11C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictability.
Papp L, Rasul S, Spielvogel CP, Krajnc D, Poetsch N, Woehrer A, Patronas EM, Ecsedi B, Furtner J, Mitterhauser M, Rausch I, Widhalm G, Beyer T, Hacker M, Traub-Weidinger T.
Papp L, et al. Among authors: ecsedi b.
Front Oncol. 2023 Feb 3;13:986788. doi: 10.3389/fonc.2023.986788. eCollection 2023.
Front Oncol. 2023.
PMID: 36816966
Free PMC article.
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Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI.
Papp L, Spielvogel CP, Grubmüller B, Grahovac M, Krajnc D, Ecsedi B, Sareshgi RAM, Mohamad D, Hamboeck M, Rausch I, Mitterhauser M, Wadsak W, Haug AR, Kenner L, Mazal P, Susani M, Hartenbach S, Baltzer P, Helbich TH, Kramer G, Shariat SF, Beyer T, Hartenbach M, Hacker M.
Papp L, et al. Among authors: ecsedi b.
Eur J Nucl Med Mol Imaging. 2021 Jun;48(6):1795-1805. doi: 10.1007/s00259-020-05140-y. Epub 2020 Dec 19.
Eur J Nucl Med Mol Imaging. 2021.
PMID: 33341915
Free PMC article.
Clinical Trial.
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