Trandafir TE - Search Results

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Artificial intelligence-based recurrence prediction outperforms classical histopathological methods in pulmonary adenocarcinoma biopsies.

Akram F, Wolf JL, Trandafir TE, Dingemans AC, Stubbs AP, von der Thüsen JH. Akram F, et al. Among authors: trandafir te. Lung Cancer. 2023 Dec;186:107413. doi: 10.1016/j.lungcan.2023.107413. Epub 2023 Nov 4. Lung Cancer. 2023. PMID: 37939498 Free article.

The value of prognostic and predictive parameters in early-stage lung adenocarcinomas: A comparison between biopsies and resections.

Wolf JL, Trandafir TE, Akram F, Andrinopoulou ER, Maat AWPM, Mustafa DAM, Kros JM, Stubbs AP, Dingemans AC, von der Thüsen JH. Wolf JL, et al. Among authors: trandafir te. Lung Cancer. 2023 Feb;176:112-120. doi: 10.1016/j.lungcan.2022.12.018. Epub 2022 Dec 30. Lung Cancer. 2023. PMID: 36634572 Free article.

Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin-eosin-stained tissue slides.

Akram F, de Bruyn DP, van den Bosch QCC, Trandafir TE, van den Bosch TPP, Verdijk RM, de Klein A, Kiliç E, Stubbs AP, Brosens E, von der Thüsen JH. Akram F, et al. Among authors: trandafir te. Histopathology. 2024 Dec;85(6):909-919. doi: 10.1111/his.15271. Epub 2024 Jul 1. Histopathology. 2024. PMID: 38952117

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