Papp L - Search Results

1

Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [¹⁸F]F-FDG PET/CT Radiomic Features for Metabolic Response Prediction of Metastatic Breast Cancer Lesions.

Gómez OV, Herraiz JL, Udías JM, Haug A, Papp L, Cioni D, Neri E. Gómez OV, et al. Among authors: papp l. Cancers (Basel). 2022 Jun 14;14(12):2922. doi: 10.3390/cancers14122922. Cancers (Basel). 2022. PMID: 35740588 Free PMC article.

2

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. 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.

3

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: papp l. Cancers (Basel). 2021 Mar 12;13(6):1249. doi: 10.3390/cancers13061249. Cancers (Basel). 2021. PMID: 33809057 Free PMC article.

4

Morpho-Molecular Metabolic Analysis and Classification of Human Pituitary Gland and Adenoma Biopsies Based on Multimodal Optical Imaging.

Giardina G, Micko A, Bovenkamp D, Krause A, Placzek F, Papp L, Krajnc D, Spielvogel CP, Winklehner M, Höftberger R, Vila G, Andreana M, Leitgeb R, Drexler W, Wolfsberger S, Unterhuber A. Giardina G, et al. Among authors: papp l. Cancers (Basel). 2021 Jun 29;13(13):3234. doi: 10.3390/cancers13133234. Cancers (Basel). 2021. PMID: 34209497 Free PMC article.

5

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: papp l. Eur Radiol. 2022 Oct;32(10):7056-7067. doi: 10.1007/s00330-022-08999-7. Epub 2022 Jul 28. Eur Radiol. 2022. PMID: 35896836

6

Positron range in combination with point-spread-function correction: an evaluation of different implementations for [124I]-PET imaging.

Kertész H, Conti M, Panin V, Cabello J, Bharkhada D, Beyer T, Papp L, Jentzen W, Cal-Gonzalez J, Herraiz JL, López-Montes A, Rausch I. Kertész H, et al. Among authors: papp l. EJNMMI Phys. 2022 Aug 19;9(1):56. doi: 10.1186/s40658-022-00482-y. EJNMMI Phys. 2022. PMID: 35984531 Free PMC article.

7

Radiogenomic markers enable risk stratification and inference of mutational pathway states in head and neck cancer.

Spielvogel CP, Stoiber S, Papp L, Krajnc D, Grahovac M, Gurnhofer E, Trachtova K, Bystry V, Leisser A, Jank B, Schnoell J, Kadletz L, Heiduschka G, Beyer T, Hacker M, Kenner L, Haug AR. Spielvogel CP, et al. Among authors: papp l. Eur J Nucl Med Mol Imaging. 2023 Jan;50(2):546-558. doi: 10.1007/s00259-022-05973-9. Epub 2022 Sep 26. Eur J Nucl Med Mol Imaging. 2023. PMID: 36161512 Free PMC article.

8

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: papp l. 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.

9

Multicenter PET image harmonization using generative adversarial networks.

Haberl D, Spielvogel CP, Jiang Z, Orlhac F, Iommi D, Carrió I, Buvat I, Haug AR, Papp L. Haberl D, et al. Among authors: papp l. Eur J Nucl Med Mol Imaging. 2024 May 2. doi: 10.1007/s00259-024-06708-8. Online ahead of print. Eur J Nucl Med Mol Imaging. 2024. PMID: 38696130

10

Glioma Survival Prediction with Combined Analysis of In Vivo ¹¹C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning.

Papp L, Pötsch N, Grahovac M, Schmidbauer V, Woehrer A, Preusser M, Mitterhauser M, Kiesel B, Wadsak W, Beyer T, Hacker M, Traub-Weidinger T. Papp L, et al. J Nucl Med. 2018 Jun;59(6):892-899. doi: 10.2967/jnumed.117.202267. Epub 2017 Nov 24. J Nucl Med. 2018. PMID: 29175980 Free article.

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