All Outputs (2)

Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning (2020)
Conference Proceeding
Bermudez, A., Calderon-Ramirez, S., Thang, T., Tyrrell, P., Moemeni, A., Yang, S., & Torrents-Barrena, J. (2020). Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. . https://doi.org/10.1109/IJCNN48605.2020.9206779

Photostimulable Phosphor Plates are commonly used in digital X-ray imaging for dentistry. During its usage, these plates get damaged, influencing the diagnosis performance and confidence of the dentistry professional. We propose a deep learning based... Read More about Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.

Intersection SPaT Estimation by means of Single-Source Connected Vehicle Data (2020)
Conference Proceeding
Rostami-Shahrbabaki, M., Bogenberger, K., Safavi, A. A., & Moemeni, A. (2020). Intersection SPaT Estimation by means of Single-Source Connected Vehicle Data

Current traffic management systems in urban networks require real-time estimation of the traffic states.With the development of in-vehicle and communication technologies, connected vehicle data has emerged as a new data source for traffic measurement... Read More about Intersection SPaT Estimation by means of Single-Source Connected Vehicle Data.