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The Liver Tumor Segmentation Benchmark (LiTS).
Bilic P, Christ P, Li HB, Vorontsov E, Ben-Cohen A, Kaissis G, Szeskin A, Jacobs C, Mamani GEH, Chartrand G, Lohöfer F, Holch JW, Sommer W, Hofmann F, Hostettler A, Lev-Cohain N, Drozdzal M, Amitai MM, Vivanti R, Sosna J, Ezhov I, Sekuboyina A, Navarro F, Kofler F, Paetzold JC, Shit S, Hu X, Lipková J, Rempfler M, Piraud M, Kirschke J, Wiestler B, Zhang Z, Hülsemeyer C, Beetz M, Ettlinger F, Antonelli M, Bae W, Bellver M, Bi L, Chen H, Chlebus G, Dam EB, Dou Q, Fu CW, Georgescu B, Giró-I-Nieto X, Gruen F, Han X, Heng PA, Hesser J, Moltz JH, Igel C, Isensee F, Jäger P, Jia F, Kaluva KC, Khened M, Kim I, Kim JH, Kim S, Kohl S, Konopczynski T, Kori A, Krishnamurthi G, Li F, Li H, Li J, Li X, Lowengrub J, Ma J, Maier-Hein K, Maninis KK, Meine H, Merhof D, Pai A, Perslev M, Petersen J, Pont-Tuset J, Qi J, Qi X, Rippel O, Roth K, Sarasua I, Schenk A, Shen Z, Torres J, Wachinger C, Wang C, Weninger L, Wu J, Xu D, Yang X, Yu SC, Yuan Y, Yue M, Zhang L, Cardoso J, Bakas S, Braren R, Heinemann V, Pal C, Tang A, Kadoury S, Soler L, van Ginneken B, Greenspan H, Joskowicz L, Menze B. Bilic P, et al. Among authors: kaissis g. Med Image Anal. 2023 Feb;84:102680. doi: 10.1016/j.media.2022.102680. Epub 2022 Nov 17. Med Image Anal. 2023. PMID: 36481607 Free PMC article.
LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://medicaldecathlon.com/. ...
LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://medical …
Medical imaging deep learning with differential privacy.
Ziller A, Usynin D, Braren R, Makowski M, Rueckert D, Kaissis G. Ziller A, et al. Among authors: kaissis g. Sci Rep. 2021 Jun 29;11(1):13524. doi: 10.1038/s41598-021-93030-0. Sci Rep. 2021. PMID: 34188157 Free PMC article.
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
Truhn D, Tayebi Arasteh S, Saldanha OL, Müller-Franzes G, Khader F, Quirke P, West NP, Gray R, Hutchins GGA, James JA, Loughrey MB, Salto-Tellez M, Brenner H, Brobeil A, Yuan T, Chang-Claude J, Hoffmeister M, Foersch S, Han T, Keil S, Schulze-Hagen M, Isfort P, Bruners P, Kaissis G, Kuhl C, Nebelung S, Kather JN. Truhn D, et al. Among authors: kaissis g. Med Image Anal. 2024 Feb;92:103059. doi: 10.1016/j.media.2023.103059. Epub 2023 Dec 7. Med Image Anal. 2024. PMID: 38104402 Free PMC article.
[Artificial intelligence and machine learning in oncologic imaging].
Kleesiek J, Murray JM, Strack C, Prinz S, Kaissis G, Braren R. Kleesiek J, et al. Among authors: kaissis g. Pathologe. 2020 Nov;41(6):649-658. doi: 10.1007/s00292-020-00827-3. Pathologe. 2020. PMID: 33052431 German.
In recent publications, computers-in collaboration with humans or alone-have been outperforming humans regarding tumor identification, tumor classification, estimating prognoses, and evaluation of treatments. In addition, ML algorithms, e.g., artificial neural networks (AN …
In recent publications, computers-in collaboration with humans or alone-have been outperforming humans regarding tumor identification, tumor …
Functional biomarkers derived from computed tomography and magnetic resonance imaging differentiate PDAC subgroups and reveal gemcitabine-induced hypo-vascularization.
Heid I, Trajkovic-Arsic M, Lohöfer F, Kaissis G, Harder FN, Mayer M, Topping GJ, Jungmann F, Crone B, Wildgruber M, Karst U, Liotta L, Algül H, Yen HY, Steiger K, Weichert W, Siveke JT, Makowski MR, Braren RF. Heid I, et al. Among authors: kaissis g. Eur J Nucl Med Mol Imaging. 2022 Dec;50(1):115-129. doi: 10.1007/s00259-022-05930-6. Epub 2022 Sep 8. Eur J Nucl Med Mol Imaging. 2022. PMID: 36074156 Free PMC article.
Ex vivo analyses of mPDAC showed reduced cisplatin delivery (GEM: 0.92 0.5 mg/g, vs. vehicle: 3.1 1.5 mg/g, p = 0.004) and diminished endothelial cell proliferation (GEM: 22.3% vs. vehicle: 30.9%, p = 0.002) upon GEM administration. ...
Ex vivo analyses of mPDAC showed reduced cisplatin delivery (GEM: 0.92 0.5 mg/g, vs. vehicle: 3.1 1.5 mg/g, p = 0.004) and dim …
[Multifocal tumors in a 56-year-old male patient].
Kaissis G, Eiber M, Becker V, Holzapfel K, Rummeny EJ, Braren R. Kaissis G, et al. Radiologe. 2015 Nov;55(11):1009-13. doi: 10.1007/s00117-015-0037-y. Radiologe. 2015. PMID: 26515284 German. No abstract available.