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Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study.
Jayachandran Preetha C, Meredig H, Brugnara G, Mahmutoglu MA, Foltyn M, Isensee F, Kessler T, Pflüger I, Schell M, Neuberger U, Petersen J, Wick A, Heiland S, Debus J, Platten M, Idbaih A, Brandes AA, Winkler F, van den Bent MJ, Nabors B, Stupp R, Maier-Hein KH, Gorlia T, Tonn JC, Weller M, Wick W, Bendszus M, Vollmuth P. Jayachandran Preetha C, et al. Among authors: petersen j. Lancet Digit Health. 2021 Dec;3(12):e784-e794. doi: 10.1016/S2589-7500(21)00205-3. Epub 2021 Oct 20. Lancet Digit Health. 2021. PMID: 34688602 Free article. Clinical Trial.
Virtual Raters for Reproducible and Objective Assessments in Radiology.
Kleesiek J, Petersen J, Döring M, Maier-Hein K, Köthe U, Wick W, Hamprecht FA, Bendszus M, Biller A. Kleesiek J, et al. Among authors: petersen j. Sci Rep. 2016 Apr 27;6:25007. doi: 10.1038/srep25007. Sci Rep. 2016. PMID: 27118379 Free PMC article.
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: petersen j. 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
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: petersen j. Eur Radiol. 2020 Apr;30(4):2356-2364. doi: 10.1007/s00330-019-06593-y. Epub 2020 Jan 3. Eur Radiol. 2020. PMID: 31900702
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study.
Vollmuth P, Foltyn M, Huang RY, Galldiks N, Petersen J, Isensee F, van den Bent MJ, Barkhof F, Park JE, Park YW, Ahn SS, Brugnara G, Meredig H, Jain R, Smits M, Pope WB, Maier-Hein K, Weller M, Wen PY, Wick W, Bendszus M. Vollmuth P, et al. Among authors: petersen j. Neuro Oncol. 2023 Mar 14;25(3):533-543. doi: 10.1093/neuonc/noac189. Neuro Oncol. 2023. PMID: 35917833 Free PMC article.
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
Zimmerer D, Full PM, Isensee F, Jager P, Adler T, Petersen J, Kohler G, Ross T, Reinke A, Kascenas A, Jensen BS, O'Neil AQ, Tan J, Hou B, Batten J, Qiu H, Kainz B, Shvetsova N, Fedulova I, Dylov DV, Yu B, Zhai J, Hu J, Si R, Zhou S, Wang S, Li X, Chen X, Zhao Y, Marimont SN, Tarroni G, Saase V, Maier-Hein L, Maier-Hein K. Zimmerer D, et al. Among authors: petersen j. IEEE Trans Med Imaging. 2022 Oct;41(10):2728-2738. doi: 10.1109/TMI.2022.3170077. Epub 2022 Sep 30. IEEE Trans Med Imaging. 2022. PMID: 35468060
The Liver Tumor Segmentation Benchmark (LiTS).
Bilic P, Christ P, Li HB, Vorontsov E, Ben-Cohen A, Kaissis G, Szeskin A, Jacobs C, Mamani GEH, Chartrand G, Lohöfer F, Holch JW, Sommer W, Hofmann F, Hostettler A, Lev-Cohain N, Drozdzal M, Amitai MM, Vivanti R, Sosna J, Ezhov I, Sekuboyina A, Navarro F, Kofler F, Paetzold JC, Shit S, Hu X, Lipková J, Rempfler M, Piraud M, Kirschke J, Wiestler B, Zhang Z, Hülsemeyer C, Beetz M, Ettlinger F, Antonelli M, Bae W, Bellver M, Bi L, Chen H, Chlebus G, Dam EB, Dou Q, Fu CW, Georgescu B, Giró-I-Nieto X, Gruen F, Han X, Heng PA, Hesser J, Moltz JH, Igel C, Isensee F, Jäger P, Jia F, Kaluva KC, Khened M, Kim I, Kim JH, Kim S, Kohl S, Konopczynski T, Kori A, Krishnamurthi G, Li F, Li H, Li J, Li X, Lowengrub J, Ma J, Maier-Hein K, Maninis KK, Meine H, Merhof D, Pai A, Perslev M, Petersen J, Pont-Tuset J, Qi J, Qi X, Rippel O, Roth K, Sarasua I, Schenk A, Shen Z, Torres J, Wachinger C, Wang C, Weninger L, Wu J, Xu D, Yang X, Yu SC, Yuan Y, Yue M, Zhang L, Cardoso J, Bakas S, Braren R, Heinemann V, Pal C, Tang A, Kadoury S, Soler L, van Ginneken B, Greenspan H, Joskowicz L, Menze B. Bilic P, et al. Among authors: petersen j. Med Image Anal. 2023 Feb;84:102680. doi: 10.1016/j.media.2022.102680. Epub 2022 Nov 17. Med Image Anal. 2023. PMID: 36481607 Free PMC article.
Understanding metric-related pitfalls in image analysis validation.
Reinke A, Tizabi MD, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Kavur AE, Rädsch T, Sudre CH, Acion L, Antonelli M, Arbel T, Bakas S, Benis A, Blaschko M, Buettner F, Cardoso MJ, Cheplygina V, Chen J, Christodoulou E, Cimini BA, Collins GS, Farahani K, Ferrer L, Galdran A, van Ginneken B, Glocker B, Godau P, Haase R, Hashimoto DA, Hoffman MM, Huisman M, Isensee F, Jannin P, Kahn CE, Kainmueller D, Kainz B, Karargyris A, Karthikesalingam A, Kenngott H, Kleesiek J, Kofler F, Kooi T, Kopp-Schneider A, Kozubek M, Kreshuk A, Kurc T, Landman BA, Litjens G, Madani A, Maier-Hein K, Martel AL, Mattson P, Meijering E, Menze B, Moons KGM, Müller H, Nichyporuk B, Nickel F, Petersen J, Rafelski SM, Rajpoot N, Reyes M, Riegler MA, Rieke N, Saez-Rodriguez J, Sánchez CI, Shetty S, van Smeden M, Summers RM, Taha AA, Tiulpin A, Tsaftaris SA, Calster BV, Varoquaux G, Wiesenfarth M, Yaniv ZR, Jäger PF, Maier-Hein L. Reinke A, et al. Among authors: petersen j. ArXiv [Preprint]. 2024 Feb 23:arXiv:2302.01790v4. ArXiv. 2024. Update in: Nat Methods. 2024 Feb;21(2):182-194. doi: 10.1038/s41592-023-02150-0 PMID: 36945687 Free PMC article. Updated. Preprint.
3,717 results