Smaranda Belciug
Craiova, DJ, Romania
Last Updated: 09/26/2026
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Found 17 publications
Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection.
Journal: BMJ open
Published: February 16, 2024
Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor.
Journal: BMC medical informatics and decision making
Published: January 02, 2024
Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation.
Journal: Journal of biomedical informatics
Published: December 28, 2022
Doctor/Data Scientist/Artificial Intelligence Communication Model. Case Study.
Journal: Procedia computer science
Published: December 14, 2022
Prediction of labor outcome pilot study: evaluation of primiparous women at term.
Journal: American journal of obstetrics & gynecology MFM
Published: July 19, 2022
Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing.
Journal: Computers in biology and medicine
Published: December 11, 2021
Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections.
Journal: Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Published: October 05, 2021
Sonographic Evaluation of the Mechanism of Active Labor (SonoLabor Study): observational study protocol regarding the implementation of the sonopartogram.
Journal: BMJ open
Published: September 08, 2021
Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks.
Journal: Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Published: August 05, 2020
Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research.
Journal: Journal of biomedical informatics
Published: August 29, 2019
Variable selection in Logistic regression model with genetic algorithm.
Journal: Annals of translational medicine
Published: April 04, 2018
Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection.
Journal: Journal of biomedical informatics
Published: July 27, 2017
Last Updated: 09/26/2026