Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

111 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
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. 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.
Swarm learning for decentralized artificial intelligence in cancer histopathology.
Saldanha OL, Quirke P, West NP, James JA, Loughrey MB, Grabsch HI, Salto-Tellez M, Alwers E, Cifci D, Ghaffari Laleh N, Seibel T, Gray R, Hutchins GGA, Brenner H, van Treeck M, Yuan T, Brinker TJ, Chang-Claude J, Khader F, Schuppert A, Luedde T, Trautwein C, Muti HS, Foersch S, Hoffmeister M, Truhn D, Kather JN. Saldanha OL, et al. Among authors: truhn d. Nat Med. 2022 Jun;28(6):1232-1239. doi: 10.1038/s41591-022-01768-5. Epub 2022 Apr 25. Nat Med. 2022. PMID: 35469069 Free PMC article.
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
Ghaffari Laleh N, Muti HS, Loeffler CML, Echle A, Saldanha OL, Mahmood F, Lu MY, Trautwein C, Langer R, Dislich B, Buelow RD, Grabsch HI, Brenner H, Chang-Claude J, Alwers E, Brinker TJ, Khader F, Truhn D, Gaisa NT, Boor P, Hoffmeister M, Schulz V, Kather JN. Ghaffari Laleh N, et al. Among authors: truhn d. Med Image Anal. 2022 Jul;79:102474. doi: 10.1016/j.media.2022.102474. Epub 2022 May 4. Med Image Anal. 2022. PMID: 35588568 Free article.
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474.
Ghaffari Laleh N, Muti HS, Loeffler CML, Echle A, Saldanha OL, Mahmood F, Lu MY, Trautwein C, Langer R, Dislich B, Buelow RD, Grabsch HI, Brenner H, Chang-Claude J, Alwers E, Brinker TJ, Khader F, Truhn D, Gaisa NT, Boor P, Hoffmeister M, Schulz V, Kather JN. Ghaffari Laleh N, et al. Among authors: truhn d. Med Image Anal. 2022 Nov;82:102622. doi: 10.1016/j.media.2022.102622. Epub 2022 Sep 18. Med Image Anal. 2022. PMID: 36130464 No abstract available.
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study.
Niehues JM, Quirke P, West NP, Grabsch HI, van Treeck M, Schirris Y, Veldhuizen GP, Hutchins GGA, Richman SD, Foersch S, Brinker TJ, Fukuoka J, Bychkov A, Uegami W, Truhn D, Brenner H, Brobeil A, Hoffmeister M, Kather JN. Niehues JM, et al. Among authors: truhn d. Cell Rep Med. 2023 Apr 18;4(4):100980. doi: 10.1016/j.xcrm.2023.100980. Epub 2023 Mar 22. Cell Rep Med. 2023. PMID: 36958327 Free PMC article.
Denoising diffusion probabilistic models for 3D medical image generation.
Khader F, Müller-Franzes G, Tayebi Arasteh S, Han T, Haarburger C, Schulze-Hagen M, Schad P, Engelhardt S, Baeßler B, Foersch S, Stegmaier J, Kuhl C, Nebelung S, Kather JN, Truhn D. Khader F, et al. Among authors: truhn d. Sci Rep. 2023 May 5;13(1):7303. doi: 10.1038/s41598-023-34341-2. Sci Rep. 2023. PMID: 37147413 Free PMC article.
111 results