activity
20182020
most citedVideo-based surgical skill assessment using 3D convolutional neural networks

196 citations · 224 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2020

Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model

Micha Pfeiffer, Carina Riediger, Stefan Leger +5

Non-rigid registration is a key component in soft-tissue navigation. We focus on laparoscopic liver surgery, where we register the organ model obtained from a preoperative CT scan…

cs.CV2020

Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration

Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim +3

Estimating the remaining surgery duration (RSD) during surgical procedures can be useful for OR planning and anesthesia dose estimation. With the recent success of deep learning-ba…

cs.CV2019

Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

Isabel Funke, Sebastian Bodenstedt, Florian Oehme +3

Automatically recognizing surgical gestures is a crucial step towards a thorough understanding of surgical skill. Possible areas of application include automatic skill assessment,…

cs.LG2019

Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

Micha Pfeiffer, Isabel Funke, Maria R. Robu +12

In the medical domain, the lack of large training data sets and benchmarks is often a limiting factor for training deep neural networks. In contrast to expensive manual labeling, c…

cs.GR2019

Learning Soft Tissue Behavior of Organs for Surgical Navigation with Convolutional Neural Networks

Micha Pfeiffer, Carina Riediger, Jürgen Weitz +1

Purpose: In surgical navigation, pre-operative organ models are presented to surgeons during the intervention to help them in efficiently finding their target. In the case of soft…

cs.CV2019★ 196 cited

Video-based surgical skill assessment using 3D convolutional neural networks

Isabel Funke, Sören Torge Mees, Jürgen Weitz +1

Purpose: A profound education of novice surgeons is crucial to ensure that surgical interventions are effective and safe. One important aspect is the teaching of technical skills f…