Search Results for author: Isabel Funke

Found 9 papers, 8 papers with code

TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition

1 code implementation19 Jul 2023 Isabel Funke, Dominik Rivoir, Stefanie Krell, Stefanie Speidel

In addition, we propose to train the feature extractor, a standard CNN, together with an LSTM on preferably long video segments, i. e., with long temporal context.

Surgical phase recognition

Metrics Matter in Surgical Phase Recognition

1 code implementation23 May 2023 Isabel Funke, Dominik Rivoir, Stefanie Speidel

Surgical phase recognition is a basic component for different context-aware applications in computer- and robot-assisted surgery.

Surgical phase recognition

On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis

1 code implementation15 Mar 2022 Dominik Rivoir, Isabel Funke, Stefanie Speidel

In this paper, we analyze pitfalls of BN in video learning, including issues specific to online tasks such as a 'cheating' effect in anticipation.

Video Understanding

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

1 code implementation26 Jul 2019 Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix von Bechtolsheim, Jürgen Weitz, Stefanie Speidel

However, surgical gesture recognition based only on video is a challenging problem that requires effective means to extract both visual and temporal information from the video.

Gesture Recognition Surgical Gesture Recognition

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