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Author Correction: U-Net: deep learning for cell counting, detection, and morphometry.
Falk T, Mai D, Bensch R, Çiçek Ö, Abdulkadir A, Marrakchi Y, Böhm A, Deubner J, Jäckel Z, Seiwald K, Dovzhenko A, Tietz O, Bosco CD, Walsh S, Saltukoglu D, Tay TL, Prinz M, Palme K, Simons M, Diester I, Brox T, Ronneberger O. Falk T, et al. Among authors: bohm a. Nat Methods. 2019 Apr;16(4):351. doi: 10.1038/s41592-019-0356-4. Nat Methods. 2019. PMID: 30804552
U-Net: deep learning for cell counting, detection, and morphometry.
Falk T, Mai D, Bensch R, Çiçek Ö, Abdulkadir A, Marrakchi Y, Böhm A, Deubner J, Jäckel Z, Seiwald K, Dovzhenko A, Tietz O, Dal Bosco C, Walsh S, Saltukoglu D, Tay TL, Prinz M, Palme K, Simons M, Diester I, Brox T, Ronneberger O. Falk T, et al. Among authors: bohm a. Nat Methods. 2019 Jan;16(1):67-70. doi: 10.1038/s41592-018-0261-2. Epub 2018 Dec 17. Nat Methods. 2019. PMID: 30559429
Gland segmentation in colon histology images: The glas challenge contest.
Sirinukunwattana K, Pluim JPW, Chen H, Qi X, Heng PA, Guo YB, Wang LY, Matuszewski BJ, Bruni E, Sanchez U, Böhm A, Ronneberger O, Cheikh BB, Racoceanu D, Kainz P, Pfeiffer M, Urschler M, Snead DRJ, Rajpoot NM. Sirinukunwattana K, et al. Among authors: bohm a. Med Image Anal. 2017 Jan;35:489-502. doi: 10.1016/j.media.2016.08.008. Epub 2016 Sep 3. Med Image Anal. 2017. PMID: 27614792 Review.
BendaEAM versus BEAM as conditioning regimen for ASCT in patients with relapsed lymphoma (BEB): a multicentre, randomised, phase 2 trial.
Keil F, Müller AMS, Berghold A, Riedl R, Buxhofer-Ausch V, Schuster J, Vorburger C, Böhm A, Panny M, Nösslinger T, Greil R, Samaras P, Bencker C, Rütti M, Pabst T. Keil F, et al. Among authors: bohm a. EClinicalMedicine. 2023 Nov 19;66:102318. doi: 10.1016/j.eclinm.2023.102318. eCollection 2023 Dec. EClinicalMedicine. 2023. PMID: 38024477 Free PMC article.
431 results