Publicații

Q1

Smaranda Belciug

Learning deep neural networks’ architectures using differential evolution. Case study: medical imaging processing

Computers in Biology and Medicine, l, 105623

DOI: 10.1016/j.compbiomed.2022.105623

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

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

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

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

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

Q3

Smaranda Belciug

Artificial Intelligence and the second trimester of pregnancy: A literature survey

Intelligen Decision Technologies, 1-9

DOI: 10.3233/IDT-230077

Q1

Smaranda Belciug, Dominic Gabriel Iliescu

Deep Learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation

Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2023.104402

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: 10.1007/978-981-99-3311-2_23

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

Smaranda Belciug, Dominic Gabriel Iliescu

Artificial Intelligence in Obstetrics

Book Chapter Springer, In: Kwaśnicka, H., Jain, N., Markowska-Kaczmar, U., Lim, C.P., Jain, L.C. (eds). Advances in Smart Healthcare Paradigms and Applications. Intelligent Systems Reference Library, vol 244. Springer, Cham

DOI: 10.1007/978-3-031-37306-0_7

Q1

Enache, I.-A.; Iovoaica-Rămescu, C.; Ciobanu, Ș.G.; Berbecaru, E.I.A.; Vochin, A.; Băluță, I.D.; Istrate-Ofițeru, A.M.; Comănescu, C.M.; Nagy, R.D.; Iliescu

Artificial Intelligence in Obstetric Anomaly Scan: Heart and Brain

Life , 14, 166,

DOI: doi.org/10.3390/life14020166

Q1

Belciug S, Ivanescu RC, Serbanescu MS, Ispas F, Nagy R, Comanescu CM, Istrate-Ofiteru A, Iliescu DG.

Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection.

BMJ Open, 14 (2), e077366

DOI: 10.1136/bmjopen-2023-077366

Q2

Belciug, S

Autonomous fetal morphology scan: deep learning + clustering merger – the second pair of eyes behind the doctor

BMC Med Inform Decis Mak, 24 (102)

DOI: 10.1186/s12911-024-02505-3

D.G.Iliescu

Artificial Intelligence in Obstetrics. Are we done yet?

Al 11-lea Congres al Societatii Romane de Ultrasonografie în Obstetrică și Ginecologie

Belciug, F. Ispas

Smart Optimization techniques for patient management

, International KES Conference Innovation in medicine and healthcare

F. Ispas, S. Belciug, D.G. Iliescu, R. Nagy

Can Generative AI be used to improve doctor/patient relationship?

, The 28th International Conference on Knowledge-based and intelligent information & engineering systems

M.S. Serbanescu, R. Florescu, M. Jianu

Leveraging ChatGPT and contextual frameworks for optimal SPIKES protocol implementation in Ophtamology, Gynecology, and Palliative Care

28th International Conference on Knowledge-based and intelligent information & engineering systems

S. Belciug., T. Mihai

Bayesian Neural Networks for predincting the severity of symptoms a case study

11th International Conference on Information Technology and Quantitative Management

S. Belciug, D.G. Iliescu

Pregnancy with Artificial Intelligence. A 9.5 months journey from preconception to birth

Springer-Nature, 978-3-031-18156-6

Belciug, S., Iliescu, D.G.

Artificial Intelligence in Obstetrics.

, In: Kwaśnicka, H., Jain, N., Markowska-Kaczmar, U., Lim, C.P., Jain, L.C. (eds) Advances in Smart Healthcare Paradigms and Applications. Intelligent Systems Reference Library, vol 244. Springer, Cham.

Iliescu, D.G., Belciug, S., Gheonea, I.A.

Simulation and Learning Curve of the Traditional and Sonographic Pelvimetry.

In: Cinnella, G., Beck, R., Malvasi, A. (eds) Practical Guide to Simulation in Delivery Room Emergencies. Springer, Cham.

Belciug, S., Ivanescu, R.C.

Non-parametric Rank Correlation Trained Single-Hidden Layer Feedforward Neural Networks for Medical Data

In: Dzitac, S., Dzitac, D., Filip, F.G., Kacprzyk, J., Manolescu, MJ., Oros, H. (eds) Intelligent Methods Systems and Applications in Computing, Communications and Control. ICCCC 2022. Advances in Intelligent Systems and Computing, vol 1435. Springer, Cham.

Belciug, S., Iliescu, D.G

From Ultrasound Image Classification to Ultrasound Video Classification Approaches.

In: Lim, CP., Vaidya, A., Jain, N., Favorskaya, M.N., Jain, L.C. (eds) Advances in Intelligent Healthcare Delivery and Management. Intelligent Systems Reference Library, vol 258. Springer, Cham.

Belciug, S., Iliescu, D.G.

How Can Intelligent Decision Support Systems Be Applied in Obstetrics?

In: Balas, V.E., Dzemyda, G., Belciug, S., Kacprzyk, J. (eds) Decision Making and Decision Support in the Information Era. Studies in Systems, Decision and Control, vol 534. Springer, Cham

Cerere Brevet Național

Sistem de recunoaștere a formelor și detecția anomaliilor în morfologia fetală folosind inteligența artificială, A/00431

Brevet International

Method of detecting human internal organs anomalies, 1000039485