Comparison of SEMG Derived Parameters and Blood Oxygen Saturation in Monitoring Neuromuscular Fatigue in Humans. - Mihai Tarata; Werner Wolf; Daniel Georgescu; Dragos Alexandru; Mircea Serbanescu (Int. J. Monit. Surveillance Technol. Res., 2013)

Deep Learning: a Promising Method for Histological Class Prediction of Breast Tumors in Mammography. - Raluca-Elena Nica; Mircea-Sebastian Serbanescu; Lucian-Mihai Florescu; Georgiana-Cristiana Camen; Costin Teodor Streba; Ioana-Andreea Gheonea (J. Digit. Imaging, 2021)

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)

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)

Leveraging ChatGPT and Contextual Frameworks for Optimal SPIKES protocol implementation in Ophthalmology, Gynecology, and Palliative Care. - Mircea-Sebastian Serbanescu; Ruxandra-Madalina Florescu; Mirela-Elena Jianu (KES, 2024)