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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...
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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 ...
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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...
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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 ...
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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...
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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 ...
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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...
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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...
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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...
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11/08/2018
Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data
The course of surgical procedures is often unpredictable, making it diff...
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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...
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06/18/2018
