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Silvia Ajossa

University of Cagliari

251

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4310

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Artificial intelligence (AI) in the detection of rectosigmoid deep endometriosis

2021 European Journal of Obstetrics & Gynecology and Reproductive Biology
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Diagnostic accuracy of sonography for detecting parametrial involvement in women with pelvic endometriosis: a systematic review and meta-analysis

2021 Ultrasound in Obstetrics & Gynecology
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VP07.02: Ultrasonographic diagnosis of adenomyosis associated at Müllerian anomalies

2021 Ultrasound in Obstetrics & Gynecology
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VP05.01: Artificial intelligence in the detection of endometriosis of uterosacral ligaments

2021 Ultrasound in Obstetrics & Gynecology
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OC13.05: Three-dimensional ultrasound in evaluation of myometrial invasion in endometrial cancer

2021 Ultrasound in Obstetrics & Gynecology
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OC19.04: Diagnostic value of transvaginal ultrasonography for the prediction of parametrial endometriosis

2021 Ultrasound in Obstetrics & Gynecology
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VP05.03: Machine learning in the detection of forniceal endometriosis

2021 Ultrasound in Obstetrics & Gynecology
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The Reproducibility of Ultrasonographic Findings of Rectosigmoid Endometriosis Among Examiners With Different Level of Expertise.

2021 Journal of Ultrasound in Medicine
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OP08.04: Accuracy of the sonography for the diagnosis of endometriotic parametrial involvement: a systematic review and meta-analysis

2021 Ultrasound in Obstetrics & Gynecology
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Sterility Special Interest Group position paper on ART treatments and COVID-19 pandemic

2020
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