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Dirk Timmerman

Showing results (121-130 of 222) with videos related to

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BMJ Medicine|February 20, 2024
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studiesLasai Barreñada, Ashleigh Ledger, Paula Dhiman, et al.
BMJ Open|November 27, 2019
Burnout, well-being and defensive medical practice among obstetricians and gynaecologists in the UK: cross-sectional survey studyTom Bourne, Harsha Shah, Nora Falconieri, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|March 1, 2018
A new imaging technology to reduce the radiation dose during uterine fibroid embolizationEveline Thomaere, Michiel Dehairs, Annouschka Laenen, et al.
Journal of Ovarian Research|May 30, 2014
Preoperative HE4 and ROMA values do not improve the CA125 diagnostic value for borderline tumors of the ovary (BOT) - a study of the TOC ConsortiumElena Ioana Braicu, Toon Van Gorp, Mani Nassir, et al.
Human Reproduction (Oxford, England)|June 25, 2009
The use of serum inhibin A and activin A levels in predicting the outcome of 'pregnancies of unknown location'Emma Kirk, Aris T Papageorghiou, Ben Van Calster, et al.
BMC Cancer|January 24, 2008
Expression profiling to predict the clinical behaviour of ovarian cancer fails independent evaluationOlivier Gevaert, Frank De Smet, Toon Van Gorp, et al.
Cells|January 11, 2024
A Microfluidics Approach for Ovarian Cancer Immune Monitoring in an Outpatient SettingSarah Libbrecht, Ann Vankerckhoven, Koen de Wijs, et al.
Acta Obstetricia Et Gynecologica Scandinavica|February 11, 2011
Ectopic pregnancy: using the hCG ratio to select women for expectant or medical managementEmma Kirk, Ben Van Calster, George Condous, et al.
BMC Medical Research Methodology|November 24, 2023
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithmAshleigh Ledger, Jolien Ceusters, Lil Valentin, et al.
Artificial Intelligence in Medicine|December 3, 2011
Improved modeling of clinical data with kernel methodsAnneleen Daemen, Dirk Timmerman, Thierry Van den Bosch, et al.
Pageof 23

Showing results (121-130 of 222) with videos related to

Sort By:
Pageof 23
BMJ Medicine|February 20, 2024
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studiesLasai Barreñada, Ashleigh Ledger, Paula Dhiman, et al.
BMJ Open|November 27, 2019
Burnout, well-being and defensive medical practice among obstetricians and gynaecologists in the UK: cross-sectional survey studyTom Bourne, Harsha Shah, Nora Falconieri, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|March 1, 2018
A new imaging technology to reduce the radiation dose during uterine fibroid embolizationEveline Thomaere, Michiel Dehairs, Annouschka Laenen, et al.
Journal of Ovarian Research|May 30, 2014
Preoperative HE4 and ROMA values do not improve the CA125 diagnostic value for borderline tumors of the ovary (BOT) - a study of the TOC ConsortiumElena Ioana Braicu, Toon Van Gorp, Mani Nassir, et al.
Human Reproduction (Oxford, England)|June 25, 2009
The use of serum inhibin A and activin A levels in predicting the outcome of 'pregnancies of unknown location'Emma Kirk, Aris T Papageorghiou, Ben Van Calster, et al.
BMC Cancer|January 24, 2008
Expression profiling to predict the clinical behaviour of ovarian cancer fails independent evaluationOlivier Gevaert, Frank De Smet, Toon Van Gorp, et al.
Cells|January 11, 2024
A Microfluidics Approach for Ovarian Cancer Immune Monitoring in an Outpatient SettingSarah Libbrecht, Ann Vankerckhoven, Koen de Wijs, et al.
Acta Obstetricia Et Gynecologica Scandinavica|February 11, 2011
Ectopic pregnancy: using the hCG ratio to select women for expectant or medical managementEmma Kirk, Ben Van Calster, George Condous, et al.
BMC Medical Research Methodology|November 24, 2023
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithmAshleigh Ledger, Jolien Ceusters, Lil Valentin, et al.
Artificial Intelligence in Medicine|December 3, 2011
Improved modeling of clinical data with kernel methodsAnneleen Daemen, Dirk Timmerman, Thierry Van den Bosch, et al.
Pageof 23