Evaluating robotic-assisted surgery training videos with multi-task convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Robotic Surgery"
DOI: 10.1007/s11701-021-01316-2
Abstract: We seek to understand if an automated algorithm can replace human scoring of surgical trainees performing the urethrovesical anastomosis in radical prostatectomy with synthetic tissue. Specifically, we investigate neural networks for predicting the surgical proficiency… read more here.
Keywords: multi task; surgery; neural networks; evaluating robotic ... See more keywords
Designing Multi-Task Convolutional Variational Autoencoder for Radio Tomographic Imaging
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3081997
Abstract: Radio tomographic imaging (RTI) emerges to model the environment and detect the passive targets by a wireless network. In this work, the received signal strength (RSS) measurements are collected from an uncalibrated network, and a… read more here.
Keywords: task convolutional; radio tomographic; task; tomographic imaging ... See more keywords
Understanding Public Perceptions of Measles from Twitter Using Multi-Task Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220149
Abstract: Measles is a highly contagious cause of febrile illness typically seen in young children. Recent years have witnessed the resurgence of measles cases in the United States. Prompt understanding of public perceptions of measles will… read more here.
Keywords: task; task convolutional; understanding public; multi task ... See more keywords
Precise PIV Measurement in Low SNR Environments Using a Multi-Task Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13030613
Abstract: Particle Image Velocimetry (PIV) is essential in experimental fluid mechanics, providing nonintrusive flow field measurements. Among the recent advances in PIV algorithms, deep-learning-based optical flow estimation is distinguished by its high spatial and temporal resolution,… read more here.
Keywords: low snr; convolutional neural; multi task; task convolutional ... See more keywords