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C

Caroline Taksøe‐Vester

University of Copenhagen

6H指数
14论文数
120被引数
收录论文 10
发表时间
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Fetal cardiac remodeling in second trimester in pregnancies with pre-eclampsia and/or fetal growth restriction: deep-learning-based approach using population-wide data妊娠中期的子痫前期和/或胎儿生长受限孕妇的胎儿心脏重塑：基于全人群数据深度学习的应用方法
errUltrasound in Obstetrics & Gynecology
IF6.3
err2025-10-30
err0
errOAAI
errC. A. Taksøe-Vester; K. Mikolaj; O. B. Petersen; C. K. Ekelund; N. G. Vejlstrup; C. Vedel; A. N. Christensen; A. Feragen; M. Nielsen; M. G. Tolsgaard
err分享
err收藏
Predicting abnormal fetal growth using deep learning使用深度学习预测异常胎儿生长
errNPJ DIGITAL MEDICINE
IF15.1
err2025-05-29
err0
errOAAI
errMikolaj, Kamil Wojciech; Christensen, Anders Nymark; Taksoe-Vester, Caroline Amalie; Feragen, Aasa; Petersen, Olav Bjorn; Lin, Manxi; Nielsen, Mads; Svendsen, Morten Bo Sondergaard; Tolsgaard, Martin Gronnebaek
err分享
err收藏
Feasibility of fetal cardiac output measurement by phase-contrast magnetic resonance imaging using Doppler ultrasound gating increases with gestational age利用相位对比磁共振成像和超声多普勒门控技术测量胎儿心输出量的可行性随着孕周的增加而提高。
errJournal of Cardiovascular Magnetic Resonance
IF6.1
err2025-04-03
err0
errOAAI
errSigne Gade Hellmuth; Ditte Staub Jørgensen; Kasper Gadsbøll; Caroline Taksøe-Vester; Ann Tabor; Olav Bjørn Petersen; Niels Vejlstrup
err分享
err收藏
Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation
errSCIENTIFIC REPORTS
IF3.9
err2025-01-15
err0
errOAAI
errBashir, Zahra; Lin, Manxi; Feragen, Aasa; Mikolaj, Kamil; Taksoe-Vester, Caroline; Christensen, Anders Nymark; Svendsen, Morten B. S.; Fabricius, Mette Hvilshoj; Andreasen, Lisbeth; Nielsen, Mads; Tolsgaard, Martin Gronnebaek
err分享
err收藏
Society of Radiologists in Ultrasound response to Proposed simplified protocol for initial assessment of endometriosis with transvaginal ultrasound Reply
errULTRASOUND IN OBSTETRICS & GYNECOLOGY
IF6.3
err2024-12-15
err0
PREAI
errMikolaj, K.; Taksoe-Vester, C. A.; Petersen, O. B. B.; Vejlstrup, N. G.; Christensen, A. N.; Feragen, A.; Nielsen, M.; Svendsen, M. B. S.; Tolsgaard, M. G.
err分享
err收藏
Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta
errULTRASOUND IN OBSTETRICS & GYNECOLOGY
IF6.3
err2024-06-03
err7
errOAAI
errTaksoe-Vester, C. A.; Mikolaj, K.; Petersen, O. B. B.; Vejlstrup, N. G.; Christensen, A. N.; Feragen, A.; Nielsen, M.; Svendsen, M. B. S.; Tolsgaard, M. G.
err分享
err收藏
Why we succeed and fail in detecting fetal growth restriction: A population-based study为什么我们在检测胎儿生长受限方面成功与失败: 一项基于人群的研究
errACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA
IF3.1
err2021-01-12
err6
errOAAI
errAndreasen, Lisbeth A.; Tabor, Ann; Norgaard, Lone Nikoline; Taksoe-Vester, Caroline A.; Krebs, Lone; Jorgensen, Finn S.; Jepsen, Ida E.; Sharif, Heidi; Zingenberg, Helle; Rosthoj, Susanne; Sorensen, Anne L.; Tolsgaard, Martin Gronnebaek
err分享
err收藏
Simulation-Based Ultrasound Training in Obstetrics and Gynecology: A Systematic Review and Meta-Analysis基于模拟的妇产科超声培训: 系统评价和荟萃分析
errULTRASCHALL IN DER MEDIZIN
IF2.9
err2020-12-21
err23
PREAI
errTaksoe-Vester, Caroline; Dyre, Liv; Schroll, Jeppe; Tabor, Ann; Tolsgaard, Martin
err分享
err收藏
When Are Trainees Ready to Perform Transvaginal Ultrasound? AnObservational Study
errULTRASCHALL IN DER MEDIZIN
IF2.9
err2018-10-25
err10
PREAI
errTolsgaard, Martin; Veluppillai, Cergika; Gueneuc, Alexandra; Taksoe-Vester, Caroline; Hajal, Nadim; Levaillant, Jean-Marc; Ville, Yves; Tabor, Ann; Chalouhi, Gihad
err分享
err收藏
Up or down? A randomized trial comparing image orientations during transvaginal ultrasound training向上还是向下？比较经阴道超声训练期间图像方向的随机试验
errACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA
IF3.1
err2018-09-18
err6
errOAAI
errTaksoe-Vester, Caroline; Dreisler, Eva; Andreasen, Lisbeth A.; Dyre, Liv; Ringsted, Charlotte; Tabor, Ann; Tolsgaard, Martin G.
err分享
err收藏

研究方向

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合作学者
合作期刊
Y
Y. Ville
H 指数: 82 · 论文数: 979
A
Ann Tabor
H 指数: 62 · 论文数: 473
C
Charlotte Ringsted
H 指数: 49 · 论文数: 267
M
Morten A. Nielsen
H 指数: 43 · 论文数: 124
M
Mads Nielsen
H 指数: 41 · 论文数: 375
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