An Evolutionary Computational Approach to Probabilistic Neural Network with Application to Hepatic Cancer Diagnosis. - Florin Gorunescu; Marina Gorunescu; Elia El-Darzi; Smaranda Gorunescu (CBMS, 2005)

A partially connected neural network-based approach with application to breast cancer detection and recurrence. - Smaranda Belciug; Elia El-Darzi (IEEE Conf. of Intelligent Systems, 2010)

Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system. - Florin Gorunescu; Smaranda Belciug; Elia El-Darzi; Marina Gorunescu (IEEE Conf. of Intelligent Systems, 2010)

Clustering-based approach for detecting breast cancer recurrence. - Smaranda Belciug; Abdel-Badeeh M. Salem; Florin Gorunescu; Marina Gorunescu (ISDA, 2010)

A statistical framework for evaluating neural networks to predict recurrent events in breast cancer. - Florin Gorunescu; Marina Gorunescu; Elia El-Darzi; Smaranda Gorunescu (Int. J. Gen. Syst., 2010)

Competitive/collaborative neural computing system for medical diagnosis in pancreatic cancer detection. - Florin Gorunescu; Marina Gorunescu; Adrian Saftoiu; Peter Vilmann; Smaranda Belciug (Expert Syst. J. Knowl. Eng., 2011)

Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network. - Florin Gorunescu; Smaranda Belciug; Marina Gorunescu; Radu Badea (Expert Syst. Appl., 2012)

A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence. - Smaranda Belciug; Florin Gorunescu (Expert Syst. J. Knowl. Eng., 2013)

Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis. - Smaranda Belciug; Florin Gorunescu (J. Biomed. Informatics, 2014)

Evolutionary strategy to develop learning-based decision systems. Application to breast cancer and liver fibrosis stadialization. - Florin Gorunescu; Smaranda Belciug (J. Biomed. Informatics, 2014)

Improving hospital bed occupancy and resource utilization through queuing modeling and evolutionary computation. - Smaranda Belciug; Florin Gorunescu (J. Biomed. Informatics, 2015)

A hybrid genetic algorithm-queuing multi-compartment model for optimizing inpatient bed occupancy and associated costs. - Smaranda Belciug; Florin Gorunescu (Artif. Intell. Medicine, 2016)

Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis. - Florin Gorunescu; Smaranda Belciug (J. Biomed. Informatics, 2016)

Machine Learning Solutions in Computer-Aided Medical Diagnosis. - Smaranda Belciug (Machine Learning for Health Informatics, 2016)

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. - Smaranda Belciug; Florin Gorunescu (J. Biomed. Informatics, 2018)

Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research. - Smaranda Belciug (J. Biomed. Informatics, 2020)

Intelligent Decision Support Systems - A Journey to Smarter Healthcare - Smaranda Belciug; Florin Gorunescu (Springer, 2020)

Parallel versus cascaded logistic regression trained single-hidden feedforward neural network for medical data. - Smaranda Belciug (Expert Syst. Appl., 2021)

Artificial Neural Networks for Precision Medicine in Cancer Detection. - Smaranda Belciug (Advances in Selected Artificial Intelligence Areas, 2022)

Doctor/Data Scientist/Artificial Intelligence Communication Model. Case Study. - Smaranda Belciug; Renato Constantin Ivanescu; Sebastian-Doru Popa; Dominic Gabriel Iliescu (ITQM, 2022)

Evolutionary Computation Paradigm to Determine Deep Neural Networks Architectures. - Renato Constantin Ivanescu; Smaranda Belciug; Andrei Nascu; Mircea-Sebastian Serbanescu; Dominic Gabriel Iliescu (Int. J. Comput. Commun. Control, 2022)

Probabilistic Framework Based on Deep Learning for Differentiating Ultrasound Movie View Planes. - Andrei Nascu; Smaranda Belciug; Anca-Maria Istrate-Ofiteru; Dominic Gabriel Iliescu (CD-MAKE, 2023)

Knowledge-based statistical data analysis for deep learning and voting classifiers merger. - Smaranda Belciug; Renato Constantin Ivanescu; Andrei Nascu; Mircea-Sebastian Serbanescu; Cristina Comanescu; Dominic Gabriel Iliescu (KES, 2023)

Artificial Intelligence and the second trimester of pregnancy: A literature survey. - Smaranda Belciug (Intell. Decis. Technol., 2023)

Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation. - Smaranda Belciug; Dominic Gabriel Iliescu (J. Biomed. Informatics, 2023)

Pregnancy with Artificial Intelligence - A 9.5 Months Journey From Preconception to Birth - Smaranda Belciug; Dominic Gabriel Iliescu (Pregnancy with Artificial Intelligence, 2023)

Can Generative AI be used to improve doctor/patient relationship? - Florin Ispas; Smaranda Belciug; Rodica Daniela Nagy; Dominic Gabriel Iliescu (KES, 2024)

Decision-Making in Healthcare Resources Optimal Management: the Case of Inpatient Bed Occupancy and Associated Costs. - Smaranda Belciug; Florin Gheorghe Filip; Mihai Florin Filip (Comput. Sci. J. Moldova, 2024)

Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor. - Smaranda Belciug (BMC Medical Informatics Decis. Mak., 2024)

The Hospital Manager's Guide to Artificial Intelligence - Concepts, Methods, and Techniques - Smaranda Belciug (Springer, 2025)