Stefanie Speidel

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research

∙ 09/06/2023

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

In surgical computer vision applications, obtaining labeled training dat...

0 Danush Kumar Venkatesh, et al. ∙

research

∙ 07/19/2023

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

To enable context-aware computer assistance in the operating room of the...

0 Isabel Funke, et al. ∙

research

∙ 05/23/2023

Metrics Matter in Surgical Phase Recognition

Surgical phase recognition is a basic component for different context-aw...

0 Isabel Funke, et al. ∙

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 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. ∙

research

∙ 12/08/2022

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge

Timely and effective feedback within surgical training plays a critical ...

27 Aneeq Zia, et al. ∙

research

∙ 03/15/2022

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

Batch Normalization's (BN) unique property of depending on other samples...

0 Dominik Rivoir, et al. ∙

research

∙ 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. ∙

research

∙ 03/31/2021

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

Research in unpaired video translation has mainly focused on short-term ...

0 Dominik Rivoir, et al. ∙

research

∙ 02/26/2021

Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge

Surgical data science is revolutionizing minimally invasive surgery by e...

45 Aneeq Zia, et al. ∙

research

∙ 01/04/2021

Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

The stereo correspondence and reconstruction of endoscopic data sub-chal...

7 Max Allan, et al. ∙

research

∙ 12/22/2020

SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction

In computer vision, reference datasets have been highly successful in pr...

10 P. J. "Eddie'' Edwards, et al. ∙

research

∙ 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. ∙

research

∙ 05/29/2020

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

Non-rigid registration is a key component in soft-tissue navigation. We ...

0 Micha Pfeiffer, et al. ∙

research

∙ 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. ∙

research

∙ 03/23/2020

Robust Medical Instrument Segmentation Challenge 2019

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

13 Tobias Ross, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 03/26/2019

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

Purpose: In surgical navigation, pre-operative organ models are presente...

0 Micha Pfeiffer, et al. ∙

research

∙ 03/06/2019

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

Purpose: A profound education of novice surgeons is crucial to ensure th...

0 Isabel Funke, et al. ∙

research

∙ 02/18/2019

2017 Robotic Instrument Segmentation Challenge

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

14 Max Allan, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 06/08/2018

Surgical Data Science: A Consensus Perspective

Surgical data science is a scientific discipline with the objective of i...

0 Lena Maier-Hein, et al. ∙

research

∙ 06/06/2018

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

International challenges have become the standard for validation of biom...

10 Lena Maier-Hein, et al. ∙

research

∙ 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. ∙

research

∙ 03/22/2018

IMHOTEP - Virtual Reality Framework for Surgical Applications

Purpose: The data which is available to surgeons before, during and afte...

0 Micha Pfeiffer, et al. ∙

research

∙ 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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