55 citations · 80 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 55 cited
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
S. Moccia, S. J. Wirkert, H. Kenngott +6
Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data…
cs.CV2017★ 25 cited
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
Sebastian Bodenstedt, Martin Wagner, Darko Katić +6
Computer-assisted surgery (CAS) aims to provide the surgeon with the right type of assistance at the right moment. Such assistance systems are especially relevant in laparoscopic s…