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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.
A review of machine learning applications for the proton MR spectroscopy workflow.
van de Sande DMJ, Merkofer JP, Amirrajab S, Veta M, van Sloun RJG, Versluis MJ, Jansen JFA, van den Brink JS, Breeuwer M. van de Sande DMJ, et al. Among authors: veta m. Magn Reson Med. 2023 Oct;90(4):1253-1270. doi: 10.1002/mrm.29793. Epub 2023 Jul 4. Magn Reson Med. 2023. PMID: 37402235 Review.
Breast cancer histopathology image analysis: a review.
Veta M, Pluim JP, van Diest PJ, Viergever MA. Veta M, et al. IEEE Trans Biomed Eng. 2014 May;61(5):1400-11. doi: 10.1109/TBME.2014.2303852. IEEE Trans Biomed Eng. 2014. PMID: 24759275 Review.
Long-term prognosis of young breast cancer patients (≤40 years) who did not receive adjuvant systemic treatment: protocol for the PARADIGM initiative cohort study.
Dackus GM, Ter Hoeve ND, Opdam M, Vreuls W, Varga Z, Koop E, Willems SM, Van Deurzen CH, Groen EJ, Cordoba A, Bart J, Mooyaart AL, van den Tweel JG, Zolota V, Wesseling J, Sapino A, Chmielik E, Ryska A, Amant F, Broeks A, Kerkhoven R, Stathonikos N, Veta M, Voogd A, Jozwiak K, Hauptmann M, Hoogstraat M, Schmidt MK, Sonke G, van der Wall E, Siesling S, van Diest PJ, Linn SC. Dackus GM, et al. Among authors: veta m. BMJ Open. 2017 Nov 14;7(11):e017842. doi: 10.1136/bmjopen-2017-017842. BMJ Open. 2017. PMID: 29138205 Free PMC article.
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Ehteshami Bejnordi B, Veta M, Johannes van Diest P, van Ginneken B, Karssemeijer N, Litjens G, van der Laak JAWM; the CAMELYON16 Consortium; Hermsen M, Manson QF, Balkenhol M, Geessink O, Stathonikos N, van Dijk MC, Bult P, Beca F, Beck AH, Wang D, Khosla A, Gargeya R, Irshad H, Zhong A, Dou Q, Li Q, Chen H, Lin HJ, Heng PA, Haß C, Bruni E, Wong Q, Halici U, Öner MÜ, Cetin-Atalay R, Berseth M, Khvatkov V, Vylegzhanin A, Kraus O, Shaban M, Rajpoot N, Awan R, Sirinukunwattana K, Qaiser T, Tsang YW, Tellez D, Annuscheit J, Hufnagl P, Valkonen M, Kartasalo K, Latonen L, Ruusuvuori P, Liimatainen K, Albarqouni S, Mungal B, George A, Demirci S, Navab N, Watanabe S, Seno S, Takenaka Y, Matsuda H, Ahmady Phoulady H, Kovalev V, Kalinovsky A, Liauchuk V, Bueno G, Fernandez-Carrobles MM, Serrano I, Deniz O, Racoceanu D, Venâncio R. Ehteshami Bejnordi B, et al. Among authors: veta m. JAMA. 2017 Dec 12;318(22):2199-2210. doi: 10.1001/jama.2017.14585. JAMA. 2017. PMID: 29234806 Free PMC 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
58 results