156 related articles for article (PubMed ID: 37863944)
1. Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers.
Ghabri H; Alqahtani MS; Ben Othman S; Al-Rasheed A; Abbas M; Almubarak HA; Sakli H; Abdelkarim MN
Sci Rep; 2023 Oct; 13(1):17904. PubMed ID: 37863944
[TBL] [Abstract][Full Text] [Related]
2. Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor.
Ghi T; Conversano F; Ramirez Zegarra R; Pisani P; Dall'Asta A; Lanzone A; Lau W; Vimercati A; Iliescu DG; Mappa I; Rizzo G; Casciaro S;
Ultrasound Obstet Gynecol; 2022 Jan; 59(1):93-99. PubMed ID: 34309926
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes.
Burgos-Artizzu XP; Coronado-Gutiérrez D; Valenzuela-Alcaraz B; Bonet-Carne E; Eixarch E; Crispi F; Gratacós E
Sci Rep; 2020 Jun; 10(1):10200. PubMed ID: 32576905
[TBL] [Abstract][Full Text] [Related]
4. Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks.
Sridar P; Kumar A; Quinton A; Nanan R; Kim J; Krishnakumar R
Ultrasound Med Biol; 2019 May; 45(5):1259-1273. PubMed ID: 30826153
[TBL] [Abstract][Full Text] [Related]
5. How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.
Lin Q; Zhou Y; Shi S; Zhang Y; Yin S; Liu X; Peng Q; Huang S; Jiang Y; Cui C; She R; Xu J; Dong F
Comput Methods Programs Biomed; 2022 Nov; 226():107170. PubMed ID: 36272307
[TBL] [Abstract][Full Text] [Related]
6. Clinical workflow of sonographers performing fetal anomaly ultrasound scans: deep-learning-based analysis.
Drukker L; Sharma H; Karim JN; Droste R; Noble JA; Papageorghiou AT
Ultrasound Obstet Gynecol; 2022 Dec; 60(6):759-765. PubMed ID: 35726505
[TBL] [Abstract][Full Text] [Related]
7. Fetal health status prediction based on maternal clinical history using machine learning techniques.
Akbulut A; Ertugrul E; Topcu V
Comput Methods Programs Biomed; 2018 Sep; 163():87-100. PubMed ID: 30119860
[TBL] [Abstract][Full Text] [Related]
8. Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.
Xie HN; Wang N; He M; Zhang LH; Cai HM; Xian JB; Lin MF; Zheng J; Yang YZ
Ultrasound Obstet Gynecol; 2020 Oct; 56(4):579-587. PubMed ID: 31909548
[TBL] [Abstract][Full Text] [Related]
9. Multi-task learning for quality assessment of fetal head ultrasound images.
Lin Z; Li S; Ni D; Liao Y; Wen H; Du J; Chen S; Wang T; Lei B
Med Image Anal; 2019 Dec; 58():101548. PubMed ID: 31525671
[TBL] [Abstract][Full Text] [Related]
10. Prenatal screening for fetal aneuploidy in singleton pregnancies.
Chitayat D; Langlois S; Douglas Wilson R; ;
J Obstet Gynaecol Can; 2011 Jul; 33(7):736-750. PubMed ID: 21749752
[TBL] [Abstract][Full Text] [Related]
11. Machine-learning-based automatic identification of fetal abdominal circumference from ultrasound images.
Kim B; Kim KC; Park Y; Kwon JY; Jang J; Seo JK
Physiol Meas; 2018 Oct; 39(10):105007. PubMed ID: 30226815
[TBL] [Abstract][Full Text] [Related]
12. Segmentation of 2D fetal ultrasound images by exploiting context information using conditional random fields.
Gupta L; Sisodia RS; Pallavi V; Firtion C; Ramachandran G
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7219-22. PubMed ID: 22256004
[TBL] [Abstract][Full Text] [Related]
13. Classification of normal and abnormal fetal heart ultrasound images and identification of ventricular septal defects based on deep learning.
Yang Y; Wu B; Wu H; Xu W; Lyu G; Liu P; He S
J Perinat Med; 2023 Oct; 51(8):1052-1058. PubMed ID: 37161929
[TBL] [Abstract][Full Text] [Related]
14. Demystifying evidential Dempster Shafer-based CNN architecture for fetal plane detection from 2D ultrasound images leveraging fuzzy-contrast enhancement and explainable AI.
Rahman R; Alam MGR; Reza MT; Huq A; Jeon G; Uddin MZ; Hassan MM
Ultrasonics; 2023 Jul; 132():107017. PubMed ID: 37148701
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.
Xie B; Lei T; Wang N; Cai H; Xian J; He M; Zhang L; Xie H
Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1303-1312. PubMed ID: 32488568
[TBL] [Abstract][Full Text] [Related]
16. Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning.
Gabler E; Nissen M; Altstidl TR; Titzmann A; Packhauser K; Maier A; Fasching PA; Eskofier BM; Leutheuser H
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083405
[TBL] [Abstract][Full Text] [Related]
17. Use of artificial intelligence and deep learning in fetal ultrasound imaging.
Ramirez Zegarra R; Ghi T
Ultrasound Obstet Gynecol; 2023 Aug; 62(2):185-194. PubMed ID: 36436205
[TBL] [Abstract][Full Text] [Related]
18. Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing.
Belciug S
Comput Biol Med; 2022 Jul; 146():105623. PubMed ID: 35751202
[TBL] [Abstract][Full Text] [Related]
19. Efficient fetal ultrasound image segmentation for automatic head circumference measurement using a lightweight deep convolutional neural network.
Zeng W; Luo J; Cheng J; Lu Y
Med Phys; 2022 Aug; 49(8):5081-5092. PubMed ID: 35536111
[TBL] [Abstract][Full Text] [Related]
20. COMFormer: Classification of Maternal-Fetal and Brain Anatomy Using a Residual Cross-Covariance Attention Guided Transformer in Ultrasound.
Sarker MMK; Singh VK; Alsharid M; Hernandez-Cruz N; Papageorghiou AT; Noble JA
IEEE Trans Ultrason Ferroelectr Freq Control; 2023 Nov; 70(11):1417-1427. PubMed ID: 37665699
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
