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Lasai Barreñada

Showing results (1-10 of 9) with videos related to

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Diagnostic and Prognostic Research|September 28, 2024
Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
Research Synthesis Methods|April 17, 2026
Clustered flexible calibration plots for binary outcomes using random effects modelingLasai Barreñada, Bavo De Cock Campo, Laure Wynants, et al.
Diagnostic and Prognostic Research|April 2, 2025
Correction: Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
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.
Gynecologic and Obstetric Investigation|May 9, 2025
Artificial intelligence applied to ultrasound diagnosis of pelvic gynecological tumors: a systematic review and meta-analysisAxel Geysels, Giulia Garofalo, Stefan Timmerman, et al.
European Journal of Obstetrics, Gynecology, and Reproductive Biology|June 18, 2025
Standardization of the sonographic measurement of the head to perineum distance: A pilot study comparing techniques with and without perineal compressionRuben Ramirez Zegarra, Giulia Cimino, Monica Bonetti, et al.
BMJ Open|October 8, 2025
Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studiesLasai Barreñada, Ashleigh Ledger, Agnieszka Kotlarz, et al.
American Journal of Obstetrics and Gynecology|July 13, 2025
External validation of ultrasound-based models for differentiating between benign and malignant adnexal masses: a nationwide prospective multicenter study (IOTA phase 6)Francesca Moro, Marina Momi, Ashleigh Ledger, et al.
The Lancet. Digital Health|December 14, 2025
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidanceBen Van Calster, Gary S Collins, Andrew J Vickers, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Diagnostic and Prognostic Research|September 28, 2024
Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
Research Synthesis Methods|April 17, 2026
Clustered flexible calibration plots for binary outcomes using random effects modelingLasai Barreñada, Bavo De Cock Campo, Laure Wynants, et al.
Diagnostic and Prognostic Research|April 2, 2025
Correction: Understanding overfitting in random forest for probability estimation: a visualization and simulation studyLasai Barreñada, Paula Dhiman, Dirk Timmerman, et al.
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.
Gynecologic and Obstetric Investigation|May 9, 2025
Artificial intelligence applied to ultrasound diagnosis of pelvic gynecological tumors: a systematic review and meta-analysisAxel Geysels, Giulia Garofalo, Stefan Timmerman, et al.
European Journal of Obstetrics, Gynecology, and Reproductive Biology|June 18, 2025
Standardization of the sonographic measurement of the head to perineum distance: A pilot study comparing techniques with and without perineal compressionRuben Ramirez Zegarra, Giulia Cimino, Monica Bonetti, et al.
BMJ Open|October 8, 2025
Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studiesLasai Barreñada, Ashleigh Ledger, Agnieszka Kotlarz, et al.
American Journal of Obstetrics and Gynecology|July 13, 2025
External validation of ultrasound-based models for differentiating between benign and malignant adnexal masses: a nationwide prospective multicenter study (IOTA phase 6)Francesca Moro, Marina Momi, Ashleigh Ledger, et al.
The Lancet. Digital Health|December 14, 2025
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidanceBen Van Calster, Gary S Collins, Andrew J Vickers, et al.
Pageof 1