Search Results - "Epstein EL"

To distinguish solarium use with and without risk behavior on melanoma incidence and all-cause mortality: a report from the large MISS cohort.

Authors: Lindqvist PG Epstein EL Landin-Olsson M

Source: Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology [Photochem Photobiol Sci] 2026 Jul; Vol. 25 (7), pp. 1403-1411. Date of Electronic Publication: 2026 May 20.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: England NLM ID: 101124451 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1474-9092 (Electronic) Linking ISSN: 1474905X NLM ISO Abbreviation: Photochem Photobiol Sci Subsets: MEDLINE

Deep learning-based ovarian cyst classification and abnormality detection using convolutional neural networks.

Authors: Sood, Munish Puthooran, Emjee Jain, Nishant

Source: Neural Computing & Applications; Feb2025, Vol. 37 Issue 5, p3047-3059, 13p

Ultrasound-based deep learning model as an assistant improves the diagnosis of ovarian tumors: a multicenter study.

Authors: Wang, Yanli Zhang, Jiansong He, Yifang et al.

Source: Insights into Imaging. 10/16/2025, Vol. 16 Issue 1, p1-13. 13p.

Los medievalistas ingleses y la historia económica.

Alternate Title: English medievalists and economic history.

Authors: Astarita, Carlos^1,2 carlos.astarita@gmail.com

Source: Sociedades Precapitalistas. ene-dic2025, Vol. 15, p1-23. 23p.

Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment.

Authors: Christiansen F Epstein EL Smedberg E et al.

Source: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology [Ultrasound Obstet Gynecol] 2021 Jan; Vol. 57 (1), pp. 155-163.

Publication Type: Journal Article; Validation Study

Journal Info: Publisher: John Wiley & Sons, Ltd Country of Publication: England NLM ID: 9108340 Publication Model: Print Cited Medium: Internet ISSN: 1469-0705 (Electronic) Linking ISSN: 09607692 NLM ISO Abbreviation: Ultrasound Obstet Gynecol Subsets: MEDLINE

Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction.

Authors: Gandotra, Sonam Kumar, Yogesh Modi, Nandini et al.

Source: Artificial Intelligence Review; Aug2024, Vol. 57 Issue 8, p1-44, 44p

An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators.

Authors: Fanizzi, Annarita Arezzo, Francesca Cormio, Gennaro et al.

Source: Cancer Medicine. Jun2024, Vol. 13 Issue 12, p1-13. 13p.

Hybrid artificial intelligence echogenic components‐based diagnosis of adnexal masses on ultrasound.

Authors: Yoeli‐Bik, Roni Whitney, Heather M. Li, Hui et al.

Source: Medical Physics. Jul2025, Vol. 52 Issue 7, p1-14. 14p.

Subjects: Artificial intelligence, Computer-aided diagnosis, Ultrasonics, Adnexal diseases, Benign tumors, Computer-assisted image analysis (Medicine), Diagnostic ultrasonic imaging

Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnexal masses.

Authors: Liu, Lu Cai, Wenjun Zheng, Feibo et al.

Source: Insights into Imaging. 1/13/2025, Vol. 16 Issue 1, p1-15. 15p.

Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review.

Authors: Deslandes, Alison Avery, Jodie Chen, Hsiang‐Ting et al.

Source: Australasian Journal of Ultrasound in Medicine. Feb2024, Vol. 27 Issue 1, p5-11. 7p.

Accelerated Epigenetic Aging in Veterans Exposed to Blast.

Authors: Martindale SL Bourassa KJ Kimbrel NA et al.

Corporate Authors: Martindale SL Bourassa KJ Kimbrel NA et al.

Source: The Journal of head trauma rehabilitation [J Head Trauma Rehabil] 2026 Mar 18. Date of Electronic Publication: 2026 Mar 18.

Publication Type: Journal Article

Journal Info: Publisher: Aspen Publications Country of Publication: United States NLM ID: 8702552 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1550-509X (Electronic) Linking ISSN: 08859701 NLM ISO Abbreviation: J Head Trauma Rehabil Subsets: MEDLINE

Forbes Daily: Conflict Expands In The Middle East—Shaking Markets.

Authors: Chemtob, Danielle (AUTHOR)

Source: Forbes.com. 3/2/2026, pN.PAG-N.PAG. 1p.

Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours.

Authors: Du, Yangchun Xiao, Yanju Guo, Wenwen et al.

Source: BioMedical Engineering OnLine. 4/9/2024, Vol. 23 Issue 1, p1-21. 21p.

Cumulative and Contextual Effects of Low-Level Blast Exposure on Cognitive Function in Military Personnel: Interactions With PTSD and Mild TBI.

Authors: Martindale SL Bailie JM Miles SR et al.

Source: The Journal of head trauma rehabilitation [J Head Trauma Rehabil] 2026 May-Jun 01; Vol. 41 (3), pp. 168-180. Date of Electronic Publication: 2025 Aug 26.

Publication Type: Journal Article; Observational Study; Multicenter Study

Journal Info: Publisher: Aspen Publications Country of Publication: United States NLM ID: 8702552 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1550-509X (Electronic) Linking ISSN: 08859701 NLM ISO Abbreviation: J Head Trauma Rehabil Subsets: MEDLINE

Diagnostic accuracy of ultrasound models for assessment of ovarian tumors: systematic review and meta-analysis.

Authors: Lems E Koch AH Delvaux EJLG et al.

Source: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology [Ultrasound Obstet Gynecol] 2026 May; Vol. 67 (5), pp. 590-603. Date of Electronic Publication: 2025 Dec 04.

Publication Type: Journal Article; Systematic Review; Meta-Analysis; Review; Research Support, Non-U.S. Gov't

Journal Info: Publisher: John Wiley & Sons, Ltd Country of Publication: England NLM ID: 9108340 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-0705 (Electronic) Linking ISSN: 09607692 NLM ISO Abbreviation: Ultrasound Obstet Gynecol Subsets: MEDLINE

Long-Term Associations of Subconcussive Blast Exposure With Brain Function and Structure.

Authors: Rowland JA Dunkley BT Stapleton-Kotloski JR et al.

Source: The Journal of head trauma rehabilitation [J Head Trauma Rehabil] 2026 Apr 13. Date of Electronic Publication: 2026 Apr 13.

Publication Type: Journal Article

Journal Info: Publisher: Aspen Publications Country of Publication: United States NLM ID: 8702552 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1550-509X (Electronic) Linking ISSN: 08859701 NLM ISO Abbreviation: J Head Trauma Rehabil Subsets: MEDLINE

Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS.

Authors: Lai L Chen C Zhou Y et al.

Source: BMC medical imaging [BMC Med Imaging] 2026 Apr 06; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 06.

Publication Type: Journal Article; Comparative Study; Multicenter Study

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE

Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors.

Authors: Jan, Ya-Ting Tsai, Pei-Shan Huang, Wen-Hui et al.

Source: Insights into Imaging. 4/24/2023, Vol. 14 Issue 1, p1-10. 10p.

Changes in excessive alcohol use among older women across the menopausal transition: a longitudinal analysis of the Study of Women's Health Across the Nation.

Authors: Peltier, MacKenzie R. Verplaetse, Terril L. Roberts, Walter et al.

Source: Biology of Sex Differences. 7/14/2020, Vol. 11 Issue 1, p1-7. 7p. 2 Charts.

Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study.

Authors: He, Xin Bai, Xiang-Hui Chen, Hui et al.

Source: Journal of Ovarian Research. 11/6/2024, Vol. 17 Issue 1, p1-12. 12p.