Search Results for author: Jürgen Weitz

Found 12 papers, 9 papers with code

One model to use them all: Training a segmentation model with complementary datasets

1 code implementation29 Feb 2024 Alexander C. Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel

In this work, we propose a method to combine multiple partially annotated datasets, which provide complementary annotations, into one model, enabling better scene segmentation and the use of multiple readily available datasets.

Anatomy Scene Segmentation +1

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications

1 code implementation6 Sep 2023 Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer, Fiona Kolbinger, Marius Distler, Jürgen Weitz, Stefanie Speidel

This study empirically investigates unpaired image translation methods for generating suitable data in surgical applications, explicitly focusing on semantic consistency.

Contrastive Learning Image-to-Image Translation +2

Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data

1 code implementation ICCV 2021 Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel

However for transfer from simulated to photorealistic sequences, available information on the underlying geometry offers potential for achieving global consistency across views.

Neural Rendering Translation

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

1 code implementation29 May 2020 Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel

In this work, we train a convolutional neural network to perform both the search for surface correspondences as well as the non-rigid registration in one step.

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

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

no code implementations8 Nov 2018 Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Michael Breucha, Beat Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

For many applications in the field of computer assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical workflow analysis are a prerequisite.

Active Learning BIG-bench Machine Learning

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