An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks. - Catalin Stoean; Ruxandra Stoean; Mircea Hotoleanu; Dominic Iliescu; Ciprian Patru; Rodica Nagy (ICSTCC, 2021)

Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. - Ruxandra Stoean; Dominic Iliescu; Catalin Stoean; Vlad Ilie; Ciprian Patru; Mircea Hotoleanu; Rodica Nagy; Dan Ruican; Rares Trocan; Andreea Marcu; Miguel A. Atencia Ruiz; Gonzalo Joya (IWANN (1), 2021)

On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. - Catalin Stoean; Nebojsa Bacanin; Ruxandra Stoean; Leonard Ionescu; Cristian Daniel Alecsa; Mircea Hotoleanu; Miguel A. Atencia Ruiz; Gonzalo Joya (SYNASC, 2022)

Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality. - Radu Chifor; Mircea Hotoleanu; Tiberiu Marita; Tudor Arsenescu; Mihai Adrian Socaciu; Iulia-Clara Badea; Ioana Chifor (Sensors, 2022)