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Page 1
The Medical Segmentation Decathlon.
Antonelli M, Reinke A, Bakas S, Farahani K, Kopp-Schneider A, Landman BA, Litjens G, Menze B, Ronneberger O, Summers RM, van Ginneken B, Bilello M, Bilic P, Christ PF, Do RKG, Gollub MJ, Heckers SH, Huisman H, Jarnagin WR, McHugo MK, Napel S, Pernicka JSG, Rhode K, Tobon-Gomez C, Vorontsov E, Meakin JA, Ourselin S, Wiesenfarth M, Arbeláez P, Bae B, Chen S, Daza L, Feng J, He B, Isensee F, Ji Y, Jia F, Kim I, Maier-Hein K, Merhof D, Pai A, Park B, Perslev M, Rezaiifar R, Rippel O, Sarasua I, Shen W, Son J, Wachinger C, Wang L, Wang Y, Xia Y, Xu D, Xu Z, Zheng Y, Simpson AL, Maier-Hein L, Cardoso MJ. Antonelli M, et al. Among authors: isensee f. Nat Commun. 2022 Jul 15;13(1):4128. doi: 10.1038/s41467-022-30695-9. Nat Commun. 2022. PMID: 35840566 Free PMC article.
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
Ross T, Zimmerer D, Vemuri A, Isensee F, Wiesenfarth M, Bodenstedt S, Both F, Kessler P, Wagner M, Müller B, Kenngott H, Speidel S, Kopp-Schneider A, Maier-Hein K, Maier-Hein L. Ross T, et al. Among authors: isensee f. Int J Comput Assist Radiol Surg. 2018 Jun;13(6):925-933. doi: 10.1007/s11548-018-1772-0. Epub 2018 Apr 27. Int J Comput Assist Radiol Surg. 2018. PMID: 29704196
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Bernard O, Lalande A, Zotti C, Cervenansky F, Yang X, Heng PA, Cetin I, Lekadir K, Camara O, Gonzalez Ballester MA, Sanroma G, Napel S, Petersen S, Tziritas G, Grinias E, Khened M, Kollerathu VA, Krishnamurthi G, Rohe MM, Pennec X, Sermesant M, Isensee F, Jager P, Maier-Hein KH, Full PM, Wolf I, Engelhardt S, Baumgartner CF, Koch LM, Wolterink JM, Isgum I, Jang Y, Hong Y, Patravali J, Jain S, Humbert O, Jodoin PM. Bernard O, et al. Among authors: isensee f. IEEE Trans Med Imaging. 2018 Nov;37(11):2514-2525. doi: 10.1109/TMI.2018.2837502. Epub 2018 May 17. IEEE Trans Med Imaging. 2018. PMID: 29994302
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.
Kickingereder P, Isensee F, Tursunova I, Petersen J, Neuberger U, Bonekamp D, Brugnara G, Schell M, Kessler T, Foltyn M, Harting I, Sahm F, Prager M, Nowosielski M, Wick A, Nolden M, Radbruch A, Debus J, Schlemmer HP, Heiland S, Platten M, von Deimling A, van den Bent MJ, Gorlia T, Wick W, Bendszus M, Maier-Hein KH. Kickingereder P, et al. Among authors: isensee f. Lancet Oncol. 2019 May;20(5):728-740. doi: 10.1016/S1470-2045(19)30098-1. Epub 2019 Apr 2. Lancet Oncol. 2019. PMID: 30952559
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison.
Thomas S, Isensee F, Kohl S, Privalov M, Beisemann N, Swartman B, Keil H, Vetter SY, Franke J, Grützner PA, Maier-Hein L, Nolden M, Maier-Hein K. Thomas S, et al. Among authors: isensee f. Int J Comput Assist Radiol Surg. 2019 Dec;14(12):2211-2220. doi: 10.1007/s11548-019-02043-8. Epub 2019 Aug 7. Int J Comput Assist Radiol Surg. 2019. PMID: 31392672
Automated brain extraction of multisequence MRI using artificial neural networks.
Isensee F, Schell M, Pflueger I, Brugnara G, Bonekamp D, Neuberger U, Wick A, Schlemmer HP, Heiland S, Wick W, Bendszus M, Maier-Hein KH, Kickingereder P. Isensee F, et al. Hum Brain Mapp. 2019 Dec 1;40(17):4952-4964. doi: 10.1002/hbm.24750. Epub 2019 Aug 12. Hum Brain Mapp. 2019. PMID: 31403237 Free PMC article.
Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis.
Brugnara G, Isensee F, Neuberger U, Bonekamp D, Petersen J, Diem R, Wildemann B, Heiland S, Wick W, Bendszus M, Maier-Hein K, Kickingereder P. Brugnara G, et al. Among authors: isensee f. Eur Radiol. 2020 Apr;30(4):2356-2364. doi: 10.1007/s00330-019-06593-y. Epub 2020 Jan 3. Eur Radiol. 2020. PMID: 31900702
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.
Zwanenburg A, Vallières M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Götz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegård A, Maier-Hein KH, Morin O, Müller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers RJHM, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Löck S. Zwanenburg A, et al. Among authors: isensee f. Radiology. 2020 May;295(2):328-338. doi: 10.1148/radiol.2020191145. Epub 2020 Mar 10. Radiology. 2020. PMID: 32154773 Free PMC article.
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.
Heller N, Isensee F, Maier-Hein KH, Hou X, Xie C, Li F, Nan Y, Mu G, Lin Z, Han M, Yao G, Gao Y, Zhang Y, Wang Y, Hou F, Yang J, Xiong G, Tian J, Zhong C, Ma J, Rickman J, Dean J, Stai B, Tejpaul R, Oestreich M, Blake P, Kaluzniak H, Raza S, Rosenberg J, Moore K, Walczak E, Rengel Z, Edgerton Z, Vasdev R, Peterson M, McSweeney S, Peterson S, Kalapara A, Sathianathen N, Papanikolopoulos N, Weight C. Heller N, et al. Among authors: isensee f. Med Image Anal. 2021 Jan;67:101821. doi: 10.1016/j.media.2020.101821. Epub 2020 Oct 2. Med Image Anal. 2021. PMID: 33049579 Free PMC article.
42 results