Sebastian Bodenstedt | DeepAI

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∙ 04/26/2023

Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography

Purpose: Middle ear infection is the most prevalent inflammatory disease...

3 Peng Liu, et al. ∙

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

∙ 09/30/2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

PURPOSE: Surgical workflow and skill analysis are key technologies for t...

10 Martin Wagner, et al. ∙

∙ 07/01/2020

Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance

Intra-operative anticipation of instrument usage is a necessary componen...

16 Dominik Rivoir, et al. ∙

∙ 05/07/2020

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room

Image-based tracking of medical instruments is an integral part of many ...

33 Lena Maier-Hein, et al. ∙

∙ 03/23/2020

Robust Medical Instrument Segmentation Challenge 2019

Intraoperative tracking of laparoscopic instruments is often a prerequis...

13 Tobias Ross, et al. ∙

∙ 02/26/2020

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

Estimating the remaining surgery duration (RSD) during surgical procedur...

3 Dominik Rivoir, et al. ∙

∙ 07/26/2019

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

Automatically recognizing surgical gestures is a crucial step towards a ...

7 Isabel Funke, et al. ∙

∙ 07/05/2019

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

In the medical domain, the lack of large training data sets and benchmar...

1 Micha Pfeiffer, et al. ∙

∙ 02/18/2019

2017 Robotic Instrument Segmentation Challenge

In mainstream computer vision and machine learning, public datasets such...

14 Max Allan, et al. ∙

∙ 11/08/2018

Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

The course of surgical procedures is often unpredictable, making it diff...

0 Sebastian Bodenstedt, et al. ∙

∙ 11/08/2018

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

For many applications in the field of computer assisted surgery, such as...

0 Sebastian Bodenstedt, et al. ∙

∙ 08/01/2018

Real-time image-based instrument classification for laparoscopic surgery

During laparoscopic surgery, context-aware assistance systems aim to all...

0 Sebastian Bodenstedt, et al. ∙

∙ 06/18/2018

Temporal coherence-based self-supervised learning for laparoscopic workflow analysis

In order to provide the right type of assistance at the right time, comp...

0 Isabel Funke, et al. ∙

∙ 05/07/2018

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery

Intraoperative segmentation and tracking of minimally invasive instrumen...

0 Sebastian Bodenstedt, et al. ∙

∙ 11/27/2017

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Purpose: Due to the breakthrough successes of deep learning-based soluti...

0 Tobias Ross, et al. ∙

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