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Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration-the PINNACLE trial protocol.
Sutton J, Menten MJ, Riedl S, Bogunović H, Leingang O, Anders P, Hagag AM, Waldstein S, Wilson A, Cree AJ, Traber G, Fritsche LG, Scholl H, Rueckert D, Schmidt-Erfurth U, Sivaprasad S, Prevost T, Lotery A. Sutton J, et al. Among authors: rueckert d. Eye (Lond). 2023 Apr;37(6):1275-1283. doi: 10.1038/s41433-022-02097-0. Epub 2022 May 25. Eye (Lond). 2023. PMID: 35614343 Free PMC article.
Correction: Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration-the PINNACLE trial protocol.
Sutton J, Menten MJ, Riedl S, Bogunović H, Leingang O, Anders P, Hagag AM, Waldstein S, Wilson A, Cree AJ, Traber G, Fritsche LG, Scholl H, Rueckert D, Schmidt-Erfurth U, Sivaprasad S, Prevost T, Lotery A. Sutton J, et al. Among authors: rueckert d. Eye (Lond). 2023 Jun;37(8):1750. doi: 10.1038/s41433-022-02131-1. Eye (Lond). 2023. PMID: 35953562 Free PMC article. No abstract available.
Virtual reality-empowered deep-learning analysis of brain cells.
Kaltenecker D, Al-Maskari R, Negwer M, Hoeher L, Kofler F, Zhao S, Todorov M, Rong Z, Paetzold JC, Wiestler B, Piraud M, Rueckert D, Geppert J, Morigny P, Rohm M, Menze BH, Herzig S, Berriel Diaz M, Ertürk A. Kaltenecker D, et al. Among authors: rueckert d. Nat Methods. 2024 Apr 22. doi: 10.1038/s41592-024-02245-2. Online ahead of print. Nat Methods. 2024. PMID: 38649742
Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time.
Matthew J, Skelton E, Day TG, Zimmer VA, Gomez A, Wheeler G, Toussaint N, Liu T, Budd S, Lloyd K, Wright R, Deng S, Ghavami N, Sinclair M, Meng Q, Kainz B, Schnabel JA, Rueckert D, Razavi R, Simpson J, Hajnal J. Matthew J, et al. Among authors: rueckert d. Prenat Diagn. 2022 Jan;42(1):49-59. doi: 10.1002/pd.6059. Epub 2021 Oct 18. Prenat Diagn. 2022. PMID: 34648206
Evaluation of Deep Learning Estimation of Whole Heart Anatomy from Automated Cardiovascular Magnetic Resonance Short- and Long-Axis Analyses in UK Biobank.
Muffoletto M, Xu H, Burns R, Suinesiaputra A, Nasopoulou A, Kunze KP, Neji R, Petersen SE, Niederer SA, Rueckert D, Young AA. Muffoletto M, et al. Among authors: rueckert d. Eur Heart J Cardiovasc Imaging. 2024 May 9:jeae123. doi: 10.1093/ehjci/jeae123. Online ahead of print. Eur Heart J Cardiovasc Imaging. 2024. PMID: 38723059
Automatic quantification of changes in bone in serial MR images of joints.
Leung KK, Holden M, Saeed N, Brooks KJ, Buckton JB, Williams AA, Campbell SP, Changani K, Reid DG, Zhao Y, Wilde M, Rueckert D, Hajnal JV, Hill DL. Leung KK, et al. Among authors: rueckert d. IEEE Trans Med Imaging. 2006 Dec;25(12):1617-26. doi: 10.1109/tmi.2006.884216. IEEE Trans Med Imaging. 2006. PMID: 17167996
Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition.
Howard JP, Zaman S, Ragavan A, Hall K, Leonard G, Sutanto S, Ramadoss V, Razvi Y, Linton NF, Bharath A, Shun-Shin M, Rueckert D, Francis D, Cole G. Howard JP, et al. Among authors: rueckert d. Int J Cardiovasc Imaging. 2021 Mar;37(3):1033-1042. doi: 10.1007/s10554-020-02050-w. Epub 2020 Oct 29. Int J Cardiovasc Imaging. 2021. PMID: 33123938 Free PMC article.
457 results