Ruxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu, Rodica Nagy, Dan Ruican, Rares Trocan, Andreea Marcu, Miguel Atencia and Gonzalo Joya , Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound, 16th International Work-Conference on Artificial Neural Networks, June 16-18, LNCS 12861, pp. 3-14, https://doi.org/10.1007/978-3-030-85030-2_1, 2021.
Catalin Stoean, Ruxandra Stoean, Mircea Hotoleanu, Dominic Gabriel Iliescu, Ciprian Patru, Rodica Nagy, An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks, 25th International Conference on System Theory, Control and Computing (ICSTCC), October 20-23, IEEE, pp. 242-248, https://doi.org/10.1109/ICSTCC52150.2021.9606852, 2021.
Dominic Iliescu, Rodica Nagy, Ciprian Patru, Catalin Stoean, Ruxandra Stoean, Andreea Marcu, First-trimester heart screening (FTHS) supported by artificial intelligence (AI), 31st World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG) World Congress, October 15-17, Ultrasound in Obstetrics and Gynecology 58(S1):35-36, https://doi.org/10.1002/uog.23860, 2021.
Nebojsa Bacanin, Ruxandra Stoean, Miodrag Zivkovic, Aleksandar Petrovic, Tarik A. Rashid, Timea Bezdan, Performance of Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization, Mathematics, 9(21), 2705; https://doi.org/10.3390/math9212705, 2021.
Dominic Iliescu, Rodica Nagy, Ana-Maria Petrescu, Ruxandra Stoean, Catalin Stoean, Dan Ruican, First Trimester Computer-Aided Fetal Cardiac Evaluation, Proceedings of the 9th Congress of the Romanian Society of Ultrasonography in Obstetrics and Gynaecology, Filodiritto Editore, pp. 69-75, ISBN 979-12-80225-28-3, DOI: 10.26352/F923_SRUOG-2021.
Catalin Stoean, Nebojsa Bacanin, Wiesław Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy, Semantic segmentation of fetal heart components in second trimester echocardiography, 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Procedia Computer Science, Volume 207, pp. 3085-3092, 2022.
Anda Ungureanu, Andreea Marcu, Ciprian Laurentiu Patru, Dan Ruican, Rodica Nagy, Ruxandra Stoean, Catalin Stoean, Dominic Gabriel Iliescu, Learning deep architectures for the Interpretation of first-trimester Fetal Echocardiography (LIFE) - a study protocol for developing an automated Intelligent Decision Support System for early fetal echocardiography, BMC Pregnancy, Volume 23, 20, https://doi.org/10.1186/s12884-022-05204-x, 2023.
Cano Domingo, Ruxandra Stoean, Gonzalo Joya Caparrós, Nuria Novas Castellano, Manuel Fernandez Ros, Jose Antonio Gázquez Parra, A Machine Learning hourly analysis on the relation the Ionosphere and Schumann Resonance Frequency, Measurement, vol. 208, 112426, https://doi.org/10.1016/j.measurement.2022.112426, 2023.
Nebojsa Bacanin, Catalin Stoean, Dusan Markovic, Miodrag Zivkovic, Tarik Rashid, Stefan Bisevac, Marko Sarac, Improving Performance of Extreme Learning Machine for Classification Challenges by Modified Firefly Metaheuristics. Validation on Benchmark Data Sets and Medical Wearable Sensors Problem, Multimedia Tools and Applications, under review.