Boor, Peter

Ghallab, Ahmed; González, Daniela; Strängberg, Ellen; Hofmann, Ute; Myllys, Maiju; Hassan, Reham; Hobloss, Zaynab; Brackhagen, Lisa; Begher-Tibbe, Brigitte; Duda, Julia C; Drenda, Carolin; Kappenberg, Franziska; Reinders, Joerg; Friebel, Adrian; Vucur, Mihael; Turajski, Monika; Seddek, Abdel-Latief; Abbas, Tahany; Abdelmageed, Noha; Morad, Samy A F; ... (2024). Inhibition of the Renal Apical Sodium Dependent Bile Acid Transporter Prevents Cholemic Nephropathy in Mice with Obstructive Cholestasis. Journal of hepatology, 80(2), pp. 268-281. Elsevier 10.1016/j.jhep.2023.10.035

Saldanha, Oliver Lester; Muti, Hannah Sophie; Grabsch, Heike I; Langer, Rupert; Dislich, Bastian; Kohlruss, Meike; Keller, Gisela; van Treeck, Marko; Hewitt, Katherine Jane; Kolbinger, Fiona R; Veldhuizen, Gregory Patrick; Boor, Peter; Foersch, Sebastian; Truhn, Daniel; Kather, Jakob Nikolas (2023). Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning. Gastric cancer, 26(2), pp. 264-274. Springer 10.1007/s10120-022-01347-0

Ghaffari Laleh, Narmin; Muti, Hannah Sophie; Loeffler, Chiara Maria Lavinia; Echle, Amelie; Saldanha, Oliver Lester; Mahmood, Faisal; Lu, Ming Y; Trautwein, Christian; Langer, Rupert; Dislich, Bastian; Buelow, Roman D; Grabsch, Heike Irmgard; Brenner, Hermann; Chang-Claude, Jenny; Alwers, Elizabeth; Brinker, Titus J; Khader, Firas; Truhn, Daniel; Gaisa, Nadine T; Boor, Peter; ... (2022). Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical image analysis, 82(102622), p. 102622. Elsevier 10.1016/j.media.2022.102622

Ghaffari Laleh, Narmin; Truhn, Daniel; Veldhuizen, Gregory Patrick; Han, Tianyu; van Treeck, Marko; Buelow, Roman D; Langer, Rupert; Dislich, Bastian; Boor, Peter; Schulz, Volkmar; Kather, Jakob Nikolas (2022). Adversarial attacks and adversarial robustness in computational pathology. Nature Communications, 13(1), p. 5711. Springer Nature 10.1038/s41467-022-33266-0

Ghaffari Laleh, Narmin; Muti, Hannah Sophie; Loeffler, Chiara Maria Lavinia; Echle, Amelie; Saldanha, Oliver Lester; Mahmood, Faisal; Lu, Ming Y; Trautwein, Christian; Langer, Rupert; Dislich, Bastian; Buelow, Roman D; Grabsch, Heike Irmgard; Brenner, Hermann; Chang-Claude, Jenny; Alwers, Elizabeth; Brinker, Titus J; Khader, Firas; Truhn, Daniel; Gaisa, Nadine T; Boor, Peter; ... (2022). Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical image analysis, 79, p. 102474. Elsevier 10.1016/j.media.2022.102474

Leimkühler, Nils B.; Gleitz, Hélène F.E.; Ronghui, Li; Snoeren, Inge A.M.; Fuchs, Stijn N.R.; Nagai, James S.; Banjanin, Bella; Lam, King H.; Vogl, Thomas; Kuppe, Christoph; Stalmann, Ursula S.A.; Büsche, Guntram; Kreipe, Hans; Gütgemann, Ines; Krebs, Philippe; Banz, Yara; Boor, Peter; Tai, Evelyn Wing-Ying; Brümmendorf, Tim H.; Koschmieder, Steffen; ... (2021). Heterogeneous bone-marrow stromal progenitors drive myelofibrosis via a druggable alarmin axis. Cell stem cell, 28(4), 637-652.e8. Elsevier 10.1016/j.stem.2020.11.004

Selby, Nicholas M; Blankestijn, Peter J; Boor, Peter; Combe, Christian; Eckardt, Kai-Uwe; Eikefjord, Eli; Garcia-Fernandez, Nuria; Golay, Xavier; Gordon, Isky; Grenier, Nicolas; Hockings, Paul D; Jensen, Jens D; Joles, Jaap A; Kalra, Philip A; Krämer, Bernhard K; Mark, Patrick B; Mendichovszky, Iosif A; Nikolic, Olivera; Odudu, Aghogho; Ong, Albert C M; ... (2018). Magnetic resonance imaging biomarkers for chronic kidney disease: a position paper from the European Cooperation in Science and Technology Action PARENCHIMA. Nephrology, dialysis, transplantation, 33(suppl_2), ii4-ii14. Oxford University Press 10.1093/ndt/gfy152

Caroli, Anna; Schneider, Moritz; Friedli, Iris; Ljimani, Alexandra; De Seigneux, Sophie; Boor, Peter; Gullapudi, Latha; Kazmi, Isma; Mendichovszky, Iosif A; Notohamiprodjo, Mike; Selby, Nicholas M; Thöny, Harriet C.; Grenier, Nicolas; Vallée, Jean-Paul (2018). Diffusion-weighted magnetic resonance imaging to assess diffuse renal pathology: a systematic review and statement paper. Nephrology, dialysis, transplantation, 33(suppl_2), ii29-ii40. Oxford University Press 10.1093/ndt/gfy163