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Mitosis domain generalization in histopathology images - The MIDOG challenge.
Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, Ter Hoeve N, Ciompi F, Wilm F, Marzahl C, Donovan TA, Maier A, Breen J, Ravikumar N, Chung Y, Park J, Nateghi R, Pourakpour F, Fick RHJ, Ben Hadj S, Jahanifar M, Shephard A, Dexl J, Wittenberg T, Kondo S, Lafarge MW, Koelzer VH, Liang J, Wang Y, Long X, Liu J, Razavi S, Khademi A, Yang S, Wang X, Erber R, Klang A, Lipnik K, Bolfa P, Dark MJ, Wasinger G, Veta M, Breininger K. Aubreville M, et al. Among authors: veta m. Med Image Anal. 2023 Feb;84:102699. doi: 10.1016/j.media.2022.102699. Epub 2022 Nov 23. Med Image Anal. 2023. PMID: 36463832 Free article.
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Veta M, van Diest PJ, Willems SM, Wang H, Madabhushi A, Cruz-Roa A, Gonzalez F, Larsen AB, Vestergaard JS, Dahl AB, Cireşan DC, Schmidhuber J, Giusti A, Gambardella LM, Tek FB, Walter T, Wang CW, Kondo S, Matuszewski BJ, Precioso F, Snell V, Kittler J, de Campos TE, Khan AM, Rajpoot NM, Arkoumani E, Lacle MM, Viergever MA, Pluim JP. Veta M, et al. Med Image Anal. 2015 Feb;20(1):237-48. doi: 10.1016/j.media.2014.11.010. Epub 2014 Nov 29. Med Image Anal. 2015. PMID: 25547073 Free article.
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Veta M, Heng YJ, Stathonikos N, Bejnordi BE, Beca F, Wollmann T, Rohr K, Shah MA, Wang D, Rousson M, Hedlund M, Tellez D, Ciompi F, Zerhouni E, Lanyi D, Viana M, Kovalev V, Liauchuk V, Phoulady HA, Qaiser T, Graham S, Rajpoot N, Sjöblom E, Molin J, Paeng K, Hwang S, Park S, Jia Z, Chang EI, Xu Y, Beck AH, van Diest PJ, Pluim JPW. Veta M, et al. Med Image Anal. 2019 May;54:111-121. doi: 10.1016/j.media.2019.02.012. Epub 2019 Feb 27. Med Image Anal. 2019. PMID: 30861443
Learning Domain-Invariant Representations of Histological Images.
Lafarge MW, Pluim JPW, Eppenhof KAJ, Veta M. Lafarge MW, et al. Among authors: veta m. Front Med (Lausanne). 2019 Jul 16;6:162. doi: 10.3389/fmed.2019.00162. eCollection 2019. Front Med (Lausanne). 2019. PMID: 31380377 Free PMC article.
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Xiong Z, Xia Q, Hu Z, Huang N, Bian C, Zheng Y, Vesal S, Ravikumar N, Maier A, Yang X, Heng PA, Ni D, Li C, Tong Q, Si W, Puybareau E, Khoudli Y, Géraud T, Chen C, Bai W, Rueckert D, Xu L, Zhuang X, Luo X, Jia S, Sermesant M, Liu Y, Wang K, Borra D, Masci A, Corsi C, de Vente C, Veta M, Karim R, Preetha CJ, Engelhardt S, Qiao M, Wang Y, Tao Q, Nuñez-Garcia M, Camara O, Savioli N, Lamata P, Zhao J. Xiong Z, et al. Among authors: veta m. Med Image Anal. 2021 Jan;67:101832. doi: 10.1016/j.media.2020.101832. Epub 2020 Oct 16. Med Image Anal. 2021. PMID: 33166776 Free article.
52 results