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Page 1
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
Jiao Y, van der Laak J, Albarqouni S, Li Z, Tan T, Bhalerao A, Cheng S, Ma J, Pocock J, Pluim JPW, Koohbanani NA, Bashir RMS, Raza SEA, Liu S, Graham S, Wetstein S, Khurram SA, Liu X, Rajpoot N, Veta M, Ciompi F. Jiao Y, et al. Among authors: wetstein s. IEEE J Biomed Health Inform. 2024 Mar;28(3):1161-1172. doi: 10.1109/JBHI.2023.3327489. Epub 2024 Mar 6. IEEE J Biomed Health Inform. 2024. PMID: 37878422
[No title available]
[No authors listed] [No authors listed] PMID: 36781268
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.
Bortsova G, González-Gonzalo C, Wetstein SC, Dubost F, Katramados I, Hogeweg L, Liefers B, van Ginneken B, Pluim JPW, Veta M, Sánchez CI, de Bruijne M. Bortsova G, et al. Among authors: wetstein sc. Med Image Anal. 2021 Oct;73:102141. doi: 10.1016/j.media.2021.102141. Epub 2021 Jun 18. Med Image Anal. 2021. PMID: 34246850 Free article.
Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk.
Wetstein SC, Onken AM, Luffman C, Baker GM, Pyle ME, Kensler KH, Liu Y, Bakker B, Vlutters R, van Leeuwen MB, Collins LC, Schnitt SJ, Pluim JPW, Tamimi RM, Heng YJ, Veta M. Wetstein SC, et al. PLoS One. 2020 Apr 15;15(4):e0231653. doi: 10.1371/journal.pone.0231653. eCollection 2020. PLoS One. 2020. PMID: 32294107 Free PMC article.
Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk.
Kensler KH, Liu EZF, Wetstein SC, Onken AM, Luffman CI, Baker GM, Collins LC, Schnitt SJ, Bret-Mounet VC, Veta M, Pluim JPW, Liu Y, Colditz GA, Eliassen AH, Hankinson SE, Tamimi RM, Heng YJ. Kensler KH, et al. Among authors: wetstein sc. Cancer Epidemiol Biomarkers Prev. 2020 Nov;29(11):2358-2368. doi: 10.1158/1055-9965.EPI-20-0723. Epub 2020 Sep 11. Cancer Epidemiol Biomarkers Prev. 2020. PMID: 32917665 Free PMC article.