日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Developing and validating ultrasound-based machine-learning models incorporating radiomics features to predict malignancy in adnexal masses

开发并验证基于超声的机器学习模型,该模型结合放射组学特征,用于预测附件肿块的恶性程度。

Moro, F; Ciancia, M; Berardino, S di; Baldassari, G; Mascilini, F; Ciccarone, F; Nero, C; Tran, H E; Pasciuto, T; Boldrini, L; Giannarelli, D; Ledger, A; Bourne, T; Froyman, W; Timmerman, D; Valentin, L; Fagotti, A; Testa, A C

Artificial Intelligence Applied to Ultrasound Diagnosis of Pelvic Gynecological Tumors: A Systematic Review and Meta-Analysis

人工智能在盆腔妇科肿瘤超声诊断中的应用:系统评价和荟萃分析

Geysels, Axel; Garofalo, Giulia; Timmerman, Stefan; Barreñada, Lasai; De Moor, Bart; Timmerman, Dirk; Froyman, Wouter; Van Calster, Ben

Imaging in gynecological disease (29): clinical and ultrasound features of primary ovarian immature teratoma

妇科疾病影像学(29):原发性卵巢未成熟畸胎瘤的临床和超声特征

Landolfo, C; Froyman, W; Testa, A C; Fischerova, D; Franchi, D; Yazbek, J; Saso, S; Fruscio, R; Chiappa, V; Czekierdowski, A; Van Gorp, T; Moro, F; Savelli, L; Zannoni, G F; Bourne, T; Timmerman, D; Valentin, L

ADNEX-AI: automated extraction of ultrasound predictors for interpretable ovarian cancer risk stratification

ADNEX-AI:自动提取超声预测因子以进行可解释的卵巢癌风险分层

Geysels, Axel; Garofalo, Giulia; Timmerman, Stefan; Ceusters, Jolien; Buonomo, Francesca; Fischerová, Daniela; Testa, Antonia Carla; Moro, Francesca; Sladkevicius, Povilas; Jokubkiene, Ligita; Van Holsbeke, Caroline; Kudla, Marek; Czekierdowski, Artur; Epstein, Elisabeth; Groszmann, Yvette; Blaschko, Matthew; Bourne, Tom; De Moor, Bart; Valentin, Lil; Van Calster, Ben; Timmerman, Dirk; Froyman, Wouter

Imaging in gynecological disease (28): clinical and ultrasound characteristics of serous and mucinous cystadenomas in the adnexa

妇科疾病影像学(28):附件浆液性囊腺瘤和黏液性囊腺瘤的临床和超声特征

Mascilini, F; Moro, F; Pasciuto, T; Sladkevicius, P; Froyman, W; Jokubkiene, L; Van Holsbeke, C; Franchi, D; Epstein, E; Guerriero, S; Chiappa, V; Buonomo, F; Kudla, M J; Alcázar, J L; Hochberg, L; Ciccarone, F; Quagliozzi, L; Scambia, G; Timmerman, D; Valentin, L; Testa, A C

Added value of serum proteins to clinical and ultrasound information in predicting the risk of malignancy in ovarian tumors

血清蛋白在预测卵巢肿瘤恶性风险方面对临床和超声信息的附加价值

Coosemans, An; Ceusters, Jolien; Landolfo, Chiara; Baert, Thaïs; Jamil, Kainat; Froyman, Wouter; Heremans, Ruben; Thirion, Gitte; Claes, Sandra; Oosterlynck, Julie; Wouters, Roxanne; Vankerckhoven, Ann; Moro, Francesca; Mascilini, Floriana; Neumann, Adam; Van Rompuy, Anne-Sophie; Schols, Dominique; Billen, Jaak; Van Gorp, Toon; Vergote, Ignace; Bourne, Tom; Van Holsbeke, Caroline; Chiappa, Valentina; Scambia, Giovanni; Testa, Antonia; Fischerova, Daniela; Timmerman, Dirk; Van Calster, Ben

Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery

比较ADNEX和ROMA风险预测模型在卵巢癌诊断中的应用:一项针对接受手术患者的多中心外部验证研究

Landolfo, Chiara; Ceusters, Jolien; Valentin, Lil; Froyman, Wouter; Van Gorp, Toon; Heremans, Ruben; Baert, Thaïs; Wouters, Roxanne; Vankerckhoven, Ann; Van Rompuy, Anne-Sophie; Billen, Jaak; Moro, Francesca; Mascilini, Floriana; Neumann, Adam; Van Holsbeke, Caroline; Chiappa, Valentina; Bourne, Tom; Fischerova, Daniela; Testa, Antonia; Coosemans, An; Timmerman, Dirk; Van Calster, Ben

Transvaginal ultrasound diagnosis of a rare entity: Premenopausal ovarian hyperthecosis

经阴道超声诊断一种罕见疾病:绝经前卵巢过度增生症

Cornelli, Benedetta; Froyman, Wouter; Garofalo, Giulia

Accessory cavitated uterine malformation (ACUM): A scoping review

子宫副腔畸形(ACUM):范围综述

Timmerman, Stefan; Stubbe, Lauren; Van den Bosch, Thierry; Van Schoubroeck, Dominique; Tellum, Tina; Froyman, Wouter

Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm

卵巢恶性肿瘤的多分类风险模型:算法选择导致的预测不确定性示例

Ledger, Ashleigh; Ceusters, Jolien; Valentin, Lil; Testa, Antonia; Van Holsbeke, Caroline; Franchi, Dorella; Bourne, Tom; Froyman, Wouter; Timmerman, Dirk; Van Calster, Ben