Vehicle taillight detection and tracking using deep learning and thresholding for candidate generation. - Flaviu Ionut Vancea; Arthur Daniel Costea; Sergiu Nedevschi (ICCP, 2017)

A Deep Learning Approach For Pedestrian Segmentation In Infrared Images. - Raluca Brehar; Flaviu Ionut Vancea; Tiberiu Marita; Sergiu Nedevschi (ICCP, 2018)

Semantic information based vehicle relative orientation and taillight detection. - Flaviu Ionut Vancea; Sergiu Nedevschi (ICCP, 2018)

Object Detection in Monocular Infrared Images Using Classification - Regresion Deep Learning Architectures. - Raluca Brehar; Flaviu Ionut Vancea; Tiberiu Marita; Cristian Vancea; Sergiu Nedevschi (ICCP, 2019)

Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural Networks. - Flaviu Ionut Vancea; Delia Mitrea; Sergiu Nedevschi; Magda Rotaru; Horia Stefanescu; Radu Badea (ICCP, 2019)

Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. - Raluca Brehar; Delia Alexandrina Mitrea; Flaviu Ionut Vancea; Tiberiu Marita; Sergiu Nedevschi; Monica Lupsor Platon; Magda Rotaru; Radu Badea (Sensors, 2020)

MVGNet: 3D object detection using Multi-Volume Grid representation in urban traffic scenarios. - Selma Deac; Flaviu Ionut Vancea; Sergiu Nedevschi (ICCP, 2021)