Improving hospital bed occupancy and resource utilization through queuing modeling and evolutionary computation S Belciug, F Gorunescu Journal of biomedical informatics 53, 261-269, 2015 | 148 | 2015 |
Evolutionary strategy to develop learning-based decision systems. Application to breast cancer and liver fibrosis stadialization F Gorunescu, S Belciug Journal of biomedical informatics 49, 112-118, 2014 | 75 | 2014 |
Real-time sono-elastography in the diagnosis of diffuse liver diseases DI Gheonea, A Săftoiu, T Ciurea, F Gorunescu, S Iordache, GL Popescu, ... World Journal of Gastroenterology: WJG 16 (14), 1720, 2010 | 63 | 2010 |
Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis S Belciug, F Gorunescu Journal of Biomedical Informatics 52, 329-337, 2014 | 57 | 2014 |
Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network F Gorunescu, S Belciug, M Gorunescu, R Badea Expert Systems with Applications 39 (17), 12824-12832, 2012 | 55 | 2012 |
A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence S Belciug, F Gorunescu Expert Systems 30 (3), 243-254, 2013 | 53 | 2013 |
Clustering-based approach for detecting breast cancer recurrence S Belciug, AB Salem, F Gorunescu, M Gorunescu 2010 10th International Conference on Intelligent Systems Design and …, 2010 | 46 | 2010 |
Competitive/collaborative neural computing system for medical diagnosis in pancreatic cancer detection F Gorunescu, M Gorunescu, A Saftoiu, P Vilmann, S Belciug Expert Systems 28 (1), 33-48, 2011 | 40 | 2011 |
Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment S Belciug Academic Press, 2020 | 39 | 2020 |
Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra … S Belciug, F Gorunescu Journal of Biomedical Informatics 83, 159-166, 2018 | 39 | 2018 |
Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis F Gorunescu, S Belciug Journal of biomedical informatics 63, 74-81, 2016 | 39 | 2016 |
Intelligent Decision Support Systems-A Journey to Smarter Healthcare S Belciug, F Gorunescu Springer International Publishing, 2020 | 35 | 2020 |
Variable selection in logistic regression model with genetic algorithm Z Zhang, V Trevino, SS Hoseini, S Belciug, AM Boopathi, P Zhang, ... Annals of translational medicine 6 (3), 2018 | 34 | 2018 |
An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis F Gorunescu, M Gorunescu, E El-Darzi, S Gorunescu 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 461-466, 2005 | 28 | 2005 |
Learning deep neural networks' architectures using differential evolution. Case study: medical imaging processing S Belciug Computers in biology and medicine 146, 105623, 2022 | 25 | 2022 |
A hybrid genetic algorithm-queuing multi-compartment model for optimizing inpatient bed occupancy and associated costs S Belciug, F Gorunescu Artificial Intelligence in Medicine 68, 59-69, 2016 | 25 | 2016 |
A partially connected neural network-based approach with application to breast cancer detection and recurrence S Belciug, E El-Darzi 2010 5th IEEE International Conference Intelligent Systems, 191-196, 2010 | 25 | 2010 |
Patients length of stay grouping using the hierarchical clustering algorithm S Belciug Annals of the University of Craiova-Mathematics and Computer Science Series …, 2009 | 25 | 2009 |
Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research S Belciug Journal of Biomedical Informatics 102, 103373, 2020 | 24 | 2020 |
Statistical comparison of a probabilistic neural network approach in hepatic cancer diagnosis F Gorunescu, M Gorunescu, E El-Darzi, M Ene, S Gorunescu EUROCON 2005-The International Conference on" Computer as a Tool" 1, 237-240, 2005 | 20 | 2005 |