Publications

 

Lista de lucrari

 

 Carti si capitole in carti

 

  1. Smaranda Belciug, Dominic Iliescu, 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, 978-3-031-18153-5, (2023).
  2. Smaranda Belciug, A Survival Analysis Guide in Oncology. In: Lim, C.P., Vaidya, A., Chen, YW., Jain, V., Jain, L.C. (eds) Artificial Intelligence and Machine Learning for Healthcare. Intelligent Systems Reference Library, vol 229. Springer-Nature, Cham. https://doi.org/10.1007/978-3-031-11170-9_2, (2023).
  3. Smaranda Belciug, An Introduction to Artificial Intelligence in Healthcare. In: Lim, CP., Vaidya, A., Chen, YW., Jain, T., Jain, L.C. (eds) Artificial Intelligence and Machine Learning for Healthcare. Intelligent Systems Reference Library, vol 228. Springer-Nature, Cham. https://doi.org/10.1007/978-3-031-11154-9_1, (2023).
  4. Dominic Iliescu, Smaranda Belciug, Ioana Gheonea, Practical Guide to Simulation in Delivery Room Emergencies, Editors Gilda Cinnella, Renata Beck and Antonio Malvasi, Springer Nature International Publishing, 9783031100666 (in press), (2023)
  5. Smaranda Belciug, Bed-Occupancy Management and Hospital Planning: A Handbook. In: Shen, H., Zeng, Y., Li, L., Wang, X. (eds) Regionalized Management of Medicine. Translational Bioinformatics, vol 17. Springer-Nature, Singapore. https://doi.org/10.1007/978-981-16-7893-6_10, (2022).
  6. Smaranda Belciug, Artificial Neural Networks for Precision Medicine in Cancer Detection. In: Virvou, M., Tsihrintzis, G.A., Jain, L.C. (eds) Advances in Selected Artificial Intelligence Areas. Learning and Analytics in Intelligent Systems, vol 24. Springer-Nature, Cham. https://doi.org/10.1007/978-3-030-93052-3_11, (2022).
  7. Smaranda Belciug, Learning Paradigms for Neural Networks for Automated Medical Diagnosis. In: Tsihrintzis, G.A., Virvou, M., Esposito, A., Jain, L.C. (eds) Advances in Assistive Technologies. Learning and Analytics in Intelligent Systems, vol 28. Springer-Nature, Cham. https://doi.org/10.1007/978-3-030-87132-1_7, (2022).
  8. Smaranda Belciug, A Statistical Analysis Handbook for Validating Artificial Intelligence Techniques Applied in Healthcare. In: Lim, CP., Chen, YW., Vaidya, A., Mahorkar, C., Jain, L.C. (eds) Handbook of Artificial Intelligence in Healthcare. Intelligent Systems Reference Library, vol 212. Springer-Nature, Cham. https://doi.org/10.1007/978-3-030-83620-7_3, (2022).
  9. Smaranda Belciug, Florin Gorunescu, Intelligent Decision Support Systems—A Journey to Smarter Healthcare, DOI, https://doi.org/10.1007/978-3-030-14354-1, Springer Nature Switzerland AG 2020, Print ISBN 978-3-030-14353-4,  Online ISBN 978-3-030-14354-1, (2019).   
  1. Florin Gorunescu, Smaranda Belciug, Intelligent Decision Support Systems in Automated Medical Diagnosis, Advances in Biomedical Informatics, (Holmes, D., Jain, L, Eds.) pp. 161-186, ISSN: 1868-4394, ISBN: 978- 319 - 67512 - 1, Springer-Nature, (2017).
  2. Florin Gorunescu, Smaranda Belciug, Reference Module in Biomedical Sciences, Genetic Algorithms for Breast Cancer Diagnostics, Elsevier  https://doi.org/10.1016/
    B978-0-12-801238-3.00000-3, (2019).
  3. Smaranda Belciug, Machine Learning Solutions in Computer-Aided Medical Diagnosis, Machine Learning for Health Informatics, State-of- the-art and Future Challenges, Springer International Publishing, DOI:10.1007/978-3-319-50478-0, ISBN 978-3-319-50478-0, pp. 289-302, (2016).
  4. Smaranda Belciug, Elemente de calcul neuronal cu aplicatii in diagnosticul automat, Editura Sitech, ISBN 978-606-11-4693-2, (2015).
  5. Florin Gorunescu, Smaranda Belciug, Incursiune în biostatistica, Editura Albastra – Grupul MicroInformatica, ISBN: 978-973—650 -302 -3 , (2014) .
  6. Smaranda Belciug, Marina Gorunescu, Data mining: modele predictive si de clasificare. Implementare in Matlab si Java, Editura Albastra, Microinformatica, Cluj-Napoca, ISBN 978-973-650-290-3, (2012).
  7. Smaranda Belciug, Machine learning techniques in Computer Aided Diagnosis, Seria Computer Science, Editura Universitaria Craiova, ISBN 978-606-14-0225-0, (2011).

 

 Lucrari publicate in reviste din fluxul principal international.

 

  1. Smaranda Belciug, Learning deep neural networks’ architectures using differential evolution. Case study: medical imaging processing, Computers in Biology and  Medicine,146, 105623,  https://doi.org/10.1016/j.compbiomed.2022.105623, IF: 6.698, 2022.
  2. 1Dominic Iliescu, Smaranda Belciug (corresponding author), Renato Ivanescu, Roxana Dragusin, Monica Cara, Laurentiu Dira, Prediction of labor outcome pilot study: evaluation of primiparous women at term, American Journal of Obstetrics & Gynecology MFM, 4 (6), 100711, https://doi.org/10.1016/j.ajogmf.2022.100711, IF: 8.679, 2022.
  3. 1Renato Ivanescu, Smaranda Belciug, 2Andrei Nascu, 3Mircea Serbanescu, Dominic Iliescu, Evolutionary computation paradigm to determine deep neural networks architectures, International Journal of Computers Communications & Control, 17, 5, https://doi.org/10.15837/ijccc.2022.5.4886, IF: 2.635, 2022.
  4. Smaranda Belciug, Parallel versus cascaded logistic regression trained single-hidden feedforward neural network for medical data, Expert Systems with applications, 170, 114538, , https://doi.org/10.1016/j.eswa.2020.114538, IF: 8.665, 2021.
  5. Laurentiu Mihai Dira, Stefania Tudorache, Panagiotis Antsaklis, George Daskalakis, Dagklis Themistoklis, Smaranda Belciug, Ruxandra Stoean, Marius Novac, Monica Laura Cara, Roxana Dragusin, Maria Florea, Ciprian Patru, Lucian Zorila, Rodica Nagy, Dan Ruican, Dominic Gabriel Iliescu, Sonographic Evaluation of the Mechanism of Active Labor (SonoLabor Study): observational study protocol regarding the implementation of the sonopartogram, BMJ open, 11 (9), e047188, http://dx.doi.org/10.1136/bmjopen-2020-047188, IF: 3.006, 2021.
  6. Dan Ruican, Ana-Maria Petrescu, Anda Ungureanu, Daniel Pirici, Marius Cristian Marina?, Anca Maria Ofiteru, 3Mircea Serbanescu, Cristina Simionescu, Anne Marie Badiu, Gabriela-Camelia Ro?u, Smaranda Belciug, Dominic Gabriel Iliescu, Virtual autopsy and confrimation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections,Romanin Journal of Morphology and Embryology, 62 (1), 101-108,10.47162/RJME.62.1.09, IF:0.833, 2021.
  7. Smaranda Belciug, Adrian Sandita, Hariton Costin, Silviu Bejinariu, Pericle Matei, Competitive/Collaborative Statistical Learning Framework for Forecasting intraday stock market prices: a case study, Studies in Informatics and Control, 30 (2), 43-54, IF: 1.826, 2021.
  8. Smaranda Belciug, Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research. Journal of Biomedical Informatics, 102, https://doi.org/10.1016/j.jbi.2019.103373, IF: 6.68, 2020.
  9. Smaranda Belciug, Silviu Bejinariu, Hariton Costin, An artificial immune system approach for a multi-compartment queuing model for improving medical resources and inpatient bed occupancy in pandemics, Advances in electrical and computer engineering, 20 (3), 23-30, IF: 0.825, 2020.
  10. 3Mircea Serbanescu, Nicolae Manea, Liliana Streba, Smaranda Belciug, Emil Plesea, Ionica Pirici, Raluca Bungardean, Mihail Plesa, Automated gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks, Romanian Journal of Morphology and Embryology, doi: 10.47162/RJME.61.1.17, IF:0.833,
  11. Smaranda Belciug, 1Renato Ivanescu, A Bayesian framework for extreme learning machine with application for automated cancer detection, Annals of the University of Craiova-Mathematics and Computer Science Series, 46 (1), 189-202, 2019.
  12. 4Robert Berglund, Smaranda Belciug, Improving Extreme Learning Machine Performance using Ant Colony Optimization Feature Selection. Application to automated medical diagnosis, Annals of the University of Craiova, Mathematics and Computer Science, Science Series, Vol. 45 (1), 151-155, 2018.
  13. Smaranda Belciug, Florin Gorunescu, Learning a single-hidden layer feedforward neural network using rank correlation-based strategy with application to high dimenional gene expression and proteomic spectra datasets in cancer detection, Journal of Biomedical Informatics, 83, 159-166, https://doi.org/10.1016/j.jbi.2018.06.003, IF: 3.457, 2018.
  14. Zhongheng Zhang, Victor Trevino, Sayed Shahabuddin Hoseini, Smaranda Belciug, Arumugam Manivanna Boopathi, Ping Zhang, Florin Gorunescu, Velappan Subha, Songshi Dai, Variable selection in Logistic regression model with genetic algorithm, Annals of translational medicine, 6, 3, 2018
  15. Smaranda Belciug, Adrian Sandita, Business Intelligence: Statistics in predicting stock market, Annals of the University of Craiova, Mathematics and Computer Science, Science Series, Vol. 44, No. 2, pp. 292-298, 2017.
  16. Florin Gorunescu, Smaranda Belciug, Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis, Journal of Biomedical Informatics, https://doi.org/10.1016/j.jbi.2016.08.004, 63, 74-81,IF: 3.291, 2016.
  17. Smaranda Belciug, Florin Gorunescu, A hybrid genetic algorithm - queuing multi-compartment model for optimizing inpatient bed occupancy and associated cost, Artificial Intelligence in Medicine, https://doi.org/10.1016/j.artmed.2016.03.001, 68, 59-69, IF: 2.705, 2016.
  18. Smaranda Belciug, Florin Gorunescu, Improving hospital bed occupancy and resource utilization through queuing modeling and evolutionary computation, Journal of Biomedical Informatics http://dx.doi.org/10.1016/j.jbi.2014.11.010, 53, pp. 261-269, IF: 3.949, 2015
  19. Smaranda Belciug, Florin Gorunescu, Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis, Journal of Biomedical Informatics, http://dx.doi.org/10.1016/j.jbi.2014.07.013, 52, pp. 329-337, IF: 3.609, 2014
  20. Florin Gorunescu, Smaranda Belciug, Evolutionary strategy to develop learning-based decision systems. Application to Breast Cancer and Liver Fibrosis Stadialization, Journal of Biomedical Informatics, http://dx.doi.org/10.1016/j.jbi.2014.02.001, vol. 49, pp. 112-118, IF: 3.609, 2014.
  21. Smaranda Belciug, Florin Gorunescu, A hybrid neural network/genetic algorithm system applied to the breast cancer detection and reccurence, Expert Systems, The Journal of Knowledge Engineering,Willey & Blackwell, Vol 30, No.3 , 243 – 254, IF: 1, 2013.
  22. Smaranda Belciug, Mircea-Sebastian Serbanescu, Florin Gorunescu, Evolutionary-based intelligent decision model to optimize the liver fibrosis stadialization, Annals of the University of Craiova, Mathematics and Computer Science Series, Vol. 40(2), pp. 237-248, 2013.
  23. Florin Gorunescu, Smaranda Belciug, Marina Gorunescu, Radu Badea, Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network, Expert Systems with Applications, 39, pp. 12824-12832, IF: 3.316, 2012.
  24. Florin Gorunescu, Marina Gorunescu, Adrian Saftoiu, Peter Vilmann, Smaranda Belciug, Competitive/Collaborative Neural Computing System for Medical Diagnosis in Pancreatic Cancer Detection, Expert Systems, The Journal of Knowledge Engineering, 28, No.1, 33 - 48, IF: 1.231, 2011.
  25. Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Smaranda Belciug, A statistical framework for evaluating neural networks to predict recurrent events in breast cancer, International Journal of General Systems , Vol. 39, No. 5, pp. 471-488 (ISI 2010 Impact Factor 0.826), Taylor & Francis, ISSN 0308-1079 , 2010.
  26. Adrian Saftoiu, Peter Vilmann, Florin Gorunescu, Dan Gheonea, Marina Gorunescu, Smaranda Belciug, Endoscopic ultrasound elastography in the diagnosis of pancreatic cancer, Annals of Gastroenterology, 23, 3, 200-201, 2010.
  27. Dan Ionut Gheonea, Adrian Saftoiu, Tudorel Ciurea, Florin Gorunescu, Sevastita Iordache, Gabriel Lucian Popescu, Smaranda Belciug, Marina Gorunescu, Larisa Sandulescu, Real-time sono-elastography in the diagnosis of diffuse liver diseases, World Journal of Gastroenterology, 16, 14, 1720-1726,  IF: 2.081, 
  28. Smaranda Belciug, Monica Lupsor, A multi-layer based procedure for detecting liver fibrosis, Annals of the University of Craiova, Mathematics and Computer Science Series, ISSN 1223-6934, Vol. 36, No. 1,pp. 64-70, 2009.

  Lucrari publicate in cadrul unor conferinte internationale din domeniu

 

  1. Smaranda Belciug, Florin Gorunescu, Marina Gorunescu, Abdel-Badeeh Salem, Clustering-based approach for detecting breast cancer recurrence, Proceedings of the 10th IEEE International Conference on Intelligent Systems Design and Applications (ISDA), Cairo, pp. 533 - 538, 29 Nov - 1 Dec, 2010.
  2. Smaranda Belciug, Elia El-Darzi, A partially connected neural network-based approach with application to breast cancer detection and recurrence, Proceeding of the IEEE Conference on Intelligent Systems, IS2010, 191-196, 2010, London, UK, 2010.
  3. Florin Gorunescu, Elia El-Darzi, Smaranda Belciug, Marina Gorunescu, Patient grouping optimization using a hybrid Self-Organizing Map and Gaussian Mixture Model for length of stay-based clustering system, Proceedings of the IEEE Conference on Intelligent Systems, IS2010, 173-178, 2010, London, UK, 2010.
  4. Marina Gorunescu, Smaranda Belciug, Salem Abdel Badeeh, Monica Lupsor, Radu Badea, Horia Stefanescu, A machine learning-based diagnosis for liver diseases using the Fibroscan medical ultrasound technique, Proceedings 4thACM International Conference on Intelligent Computing and Information Systems ICICIS09, Cairo 18 - 22 March 2009, pp. 243-248, 2009.
  5. Smaranda Belciug, Patients length of stay grouping using the hierarchical clustering algorithm, The 9th International Conference on Artificial Intelligence and Digital Communications, Craiova September, Annals of the University of Craiova, Mathematics and Computer Science Series, ISSN 1223-6934,Vol 36, No 2, pp. 79-84, 2009.
  6. Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Smaranda Belciug (Gorunescu)  A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer, Proceedings 4th International IEEE, Conference on Intelligent Systems - IS08, Varna, Bulgaria 6-8.09.2008, pp. 38-43, 2008.
  7. Smaranda Belciug, Bayesian classification vs. k-nearest neighbor classification for the non-invasive hepatic cancer detection, The 8th International Conference on Artificial Intelligence and Digital Communications, Craiova, September 2008, 108, pp. 31-35, 2008.
  8. Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Marius Ene, Smaranda Belciug (Gorunescu), Statistical Comparison of a Probabilistic Neural Network Approach in Hepatic Cancer Diagnosis, Proceedings IEEE International Conference on Computer as a tool- Eurocon2005, Belgrade, Serbia, pp. 237-240, IEEE Press, 2005.
  9. Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Smaranda Belciug (Gorunescu),An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis, Proceedings 18th IEEE InternationalSymposium on Computer-Based Medical Systems –IEEE CBMS 2005-Dublin, Ireland, IEEE Computer Science Press (Eds. A. Tsymbal and P. Cunningham), pp. 461-466, 2005.
  10. Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Smaranda Belciug (Gorunescu), Kenneth Revett, Aurangzeb Khan, A Cancer Diagnosis System Based on Rough Sets and Probabilistic Neural Networks, Proceedings 1st East European Conference on Health Care Modelling and Computation-HCMC2005, Craiova, Romania (Eds. F. Gorunescu, M. Gorunescu, E. El-Darzi), Medical University Press, Craiova, 149-159, 2005.
  11. Florin Gorunescu, Marina Gorunescu, Elia El-Darzi, Marius Ene, Smaranda Belciug (Gorunescu), Performance enhancement approach for Probabilistic Neural Networks, Proceedings 1st East European Conference on Health Care Modelling and Computation, -HCMC2005, Craiova, Romania (Eds. F. Gorunescu, M. Gorunescu, E. El-Darzi), Medical University Press, Craiova, 2005.