Conference Papers

  • R. D. Brehar, D. -A. Mitrea, S. Nedevschi, T. Moisoiu, F. I. Elec and M. A. Socaciu, “Kidney Tumor Segmentation and Grade Identification in CT Images,” 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2023, pp. 293-300, doi: 10.1109/ICCP60212.2023.10398718.

  • R. Brehar, G. Coblişan, A. Füzes, R. Danescu, “Driver Attention Estimation Based on Temporal Sequence Classification of Distracting Contexts”, In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, 2023, Rome, Italy, pp. 578-585.

  • R. Brehar, A. Groza, I. Damian, G. Muntean and S. D. Nicoară, “Age-Related Macular Degeneration Biomarker Segmentation from OCT images,” 2023 24th International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 2023, pp. 444-451, doi: 10.1109/CSCS59211.2023.00076.

  • D. Mitrea, R. Brehar, C. Mocan, S. Nedevschi, M. Socaciu and R. Badea, “Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level,” 2023 46th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech Republic, 2023, pp. 238-243, doi: 10.1109/TSP59544.2023.10197722.

  • R. D. Brehar, R. O. Băbuţ, A. Fuzes and R. Dănescu, “Outdoor Traffic Scene Risk Estimation in the Context of Autonomous Driving,” 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2022, pp. 129-134, doi: 10.1109/ICCP56966.2022.10053957.

  • Mitrea, D., Brehar, R., Nedevschi, S., Socaciu, M., Badea, R. (2024). Hepatocellular Carcinoma Recognition from Ultrasound Images Through Convolutional Neural Networks and Their Combinations. In: Vlad, S., Roman, N.M. (eds) 8th International Conference on Advancements of Medicine and Health Care Through Technology. MEDITECH 2022. IFMBE Proceedings, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-031-51120-2_1

  • R. D. Brehar, C. C. Vancea, M. P. Mureşan, S. Nedevschi and R. Dănescu, “Pose Based Pedestrian Street Cross Action Recognition in Infrared Images,” 2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2021, pp. 41-46, doi: 10.1109/ICCP53602.2021.9733650.

  • A. Marginean, R. Brehar and M. Negru, “Understanding pedestrian behaviour with pose estimation and recurrent networks,” 2019 6th International Symposium on Electrical and Electronics Engineering (ISEEE), Galati, Romania, 2019, pp. 1-6, doi: 10.1109/ISEEE48094.2019.9136126., WOS:000614815800026

  • R. Brehar, F. Vancea, T. Marita, C. Vancea and S. Nedevschi, “Object Detection in Monocular Infrared Images Using Classification – Regresion Deep Learning Architectures,” 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2019, pp. 207-212, doi: 10.1109/ICCP48234.2019.8959763., WOS:000532493700027

  • R. Brehar, D. Mitrea, S. Nedevschi, M. Platon Lupsor, M. Rotaru and R. Badea, “Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning,” 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2019, pp. 491-497, doi: 10.1109/ICCP48234.2019.8959755. , WOS:000532493700062

  • Mitrea, D., Brehar, R., Mitrea, P., Nedevschi, S., Platon(Lupşor), M., Badea, R. (2019). The Role of Convolutional Neural Networks in the Automatic Recognition of the Hepatocellular Carcinoma, Based on Ultrasound Images. In: Vlad, S., Roman, N. (eds) 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania. IFMBE Proceedings, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-13-6207-1_27, WOS:000493501100027

  • R. Brehar, F. Vancea, T. Mariţa and S. Nedevschi, “A Deep Learning Approach For Pedestrian Segmentation In Infrared Images,” 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2018, pp. 253-258, doi: 10.1109/ICCP.2018.8516630., WOS:000517560800032,

  • R. Brehar, C. Vancea, F. Oniga, M. Negru and S. Nedevschi, “A study of the impact of HOG and LBP based temporal association on far infrared pedestrian detection,” 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2016, pp. 263-268, doi: 10.1109/ICCP.2016.7737157., WOS:000391857000035

  • R. Brehar, C. Vancea, T. Mariţa, I. Giosan and S. Nedevschi, “Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors,” 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2015, pp. 385-392, doi: 10.1109/ICCP.2015.7312690., WOS:000377121700051

  • R. Brehar and S. Nedevschi, “Pedestrian detection in infrared images using HOG, LBP, gradient magnitude and intensity feature channels,” 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), Qingdao, China, 2014, pp. 1669-1674, doi: 10.1109/ITSC.2014.6957933., WOS:000357868701108

  • R. Brehar, C. Vancea and S. Nedevschi, “Pedestrian detection in infrared images using Aggregated Channel Features,” 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Cluj, Romania, 2014, pp. 127-132, doi: 10.1109/ICCP.2014.6936964., WOS:000348677300019

  • R. Brehar and S. Nedevschi, “Scan window based pedestrian recognition methods improvement by search space and scale reduction,” 2014 IEEE Intelligent Vehicles Symposium Proceedings, Dearborn, MI, USA, 2014, pp. 529-534, doi: 10.1109/IVS.2014.6856571. WOS:000346153100084

  • M. P. Muresan, R. Brehar and S. Nedevschi, “Vision algorithms and embedded solution for pedestrian detection with far infrared camera,” 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Cluj, Romania, 2014, pp. 133-136, doi: 10.1109/ICCP.2014.6936965., WOS:000348677300020