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1
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Q1 Belciug, S. Iliescu DG, Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation, Journal of Biomedical Informatics, 104402, https://doi.org/10.1016/j.jbi.2023.104402, 2023
DOI: https://doi.org/10.1016/j.jbi.2023.104402 |
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2
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Q1 Smaranda Belciug,
Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing,
Computers in Biology and Medicine,
Volume 146,
2022,
105623,
ISSN 0010-4825,
https://doi.org/10.1016/j.compbiomed.2022.105623.
DOI: j.compbiomed.2022.105623 |
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3
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Q4 Renato Constantin Ivanescu
A statistical evaluation of the preprocessing medical images impact on a deep learning network’s performance
Annals of the University of Craiova Mathematics and Computer Science Series
DOI: |
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4
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Smaranda Belciug, Renato Constantin Ivanescu, Sebastian-Doru Popa, Dominic Gabriel Iliescu
Doctor/Data scientist/Artificial Intelligence communication model. Case study.
The International Conference on Information Technology and Quantitative Management (ITQM)
DOI: 10.1016/j.procs.2022.11.143
DOI: 10.1016/j.procs.2022.11.143 |
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5
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Q2 Renato Constantin Ivanescu, Smaranda Belciug, Andrei Nascu, Mircea-Sebastian Serbanescu, Dominic Gabriel Iliescu
Evolutionary computation paradigm to determine deep neural networks architectures
International Journal of Computers, Communications and Control
DOI: https://doi.org/10.15837/ijccc.2022.5.4886 |
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6
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Q1 Dominic Gabriel Iliescu, Smaranda Belciug, Renato Constantin Ivanescu, Roxana Cristina Dragusin, Monica Laura Cara, Laurentiu Dira
Prediction of labor outcome pilot study: evaluation of primiparous women at term
American Journal of Obstetrics & Gynecology MFM
DOI: https://doi.org/10.1016/j.ajogmf.2022.100711 |
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7
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Renato Constantin Ivanescu, Nagy Rodica, Anca Istrate Ofiteru, Cristina Comanescu, Alexandru Manda
Parrallel vs. Distributed Edge Detection for Large Medical Image datasets
The 10th IEEE International Conference on E-health and Bioengineering -EHB 2022, Iasi
DOI: 10.1109/EHB55594.2022.9991599 |
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8
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Smaranda Belciug
Artificial Intelligence and the second trimester of pregnancy: A literature survey
Intelligen Decision Technologies, 1-9
DOI: 10.3233/IDT-230077
DOI:
DOI: 10.3233/IDT-230077 |
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9
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Smaranda Belciug, Rodica Nagy, Sebastian Doru Popa, Andrei Gabriel Nascu, Dominic Gabriel Iliescu
Designing deep learning architectures with neuroevolution. Study case: fetal morphology scan
International Conference Kes-InMed-2023
DOI: https://doi.org/10.1007/978-981-99-3311-2_23 |
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10
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Smaranda Belciug, Renato Constantin Ivanescu, Mircea Sebastian Serbanescu, Dominic Gabriel Iliescu, Cristina Comanescu, Andrei Nascu
Knowledge-based statistical data analysis for deep learning and voting classifiers merger
27th International Conference on Knowledge Based and Intelligent Informatoon and Engineering Systems, Athena
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11
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S. Belciug, Iliescu, D.G., Pregnancy with Artificial Intelligence. A 9,5 months journey from preconception to birth, Springer Nature, https://doi.org/10.1007/978-3-031-18154-2, 2023
DOI: |
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12
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S.Belciug, A survival analysis guide in oncology,Chee-Peng LimYen-Wei ChenAshlesha VaidyaCharu MahorkarLakhmi C. Jain Handbook of Artificial Intelligence in Healthcare 3, 2023, 29-46
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13
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S. Belciug, R.C. Ivanescu, Non-parametric Rank Correlation Trained Single-Hidden Layer Feedforward Neural Networks for Medical Data, Intelligent Methods Systems and Applications in Computing, Communication and Control, vol. 1435, 195-207, Springer-Nature, 2023
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14
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S. Belciug, An Introduction to Artificial Intelligence in Healthcare, Handbook of Artificial Intelligence in Healthcare—3, 10.1007/978-3-031-11154-9_1, 2023, 1-16
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15
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Beck and Antonio Malvasi, Springer Nature International Publishing, 2023
DOI: |
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16
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S.Belciug, Bed-occupancy management and hospital planning: a handbook, Regionalized Management of Medicine, 137-148, Springer Nature, 2022
DOI: |
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17
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S. Belciug, Artificial Neural Networks for Precision Medicine in Cancer detection. In: Advances in Selected Artificial Intelligence Areas, 255-267, 2022
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18
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S. Belciug, Learning paradigms for Neural Networks for automated medical diagnosis, In George A. TsihrintzisMaria VirvouAnna EspositoLakhmi C. Jain, Advances in Assistive Technologies, 165-180, Springer Cham, 2022, 10.1007/978-3-030-87132-1_7
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19
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S.Belciug, A Statistical Analysis Handbook for Validating Artificial Intelligence Techniques Applied in Healthcare,Chee-Peng LimYen-Wei ChenAshlesha VaidyaCharu MahorkarLakhmi C. Jain Handbook of Artificial Intelligence in Healthcare, 2022, 10.1007/978-3-030-83620-7_3
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