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09/07/2023
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Data augmentation (DA) is a key factor in medical image analysis, such a...
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06/29/2023
Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
Purpose: The development of machine learning models for surgical workflo...
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01/26/2022
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements
To support minimally-invasive intraoperative mitral valve repair, quanti...
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01/19/2021
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
Anisotropic multi-slice Cardiac Magnetic Resonance (CMR) Images are conv...
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01/07/2021
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks
Mitral valve repair is a surgery to restore the function of the mitral v...
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02/10/2020
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning?
Planning the optimal time of intervention for pulmonary valve replacemen...
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06/24/2019
Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training
Phantoms for surgical training are able to mimic cutting and suturing pr...
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04/07/2019
Flexible and Comprehensive Patient-Specific Mitral Valve Silicone Models with Chordae Tendinae Made From 3D-Printable Molds
Given the multitude of challenges surgeons face during mitral valve repa...
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06/10/2018
Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries
Current `dry lab' surgical phantom simulators are a valuable tool for su...
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07/03/2017