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07/03/2023
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis
Generative latent diffusion models have been established as state-of-the...
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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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11/07/2022
Medical Diffusion – Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Recent advances in computer vision have shown promising results in image...
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09/13/2022
Self-supervised motion descriptor for cardiac phase detection in 4D CMR based on discrete vector field estimations
Cardiac magnetic resonance (CMR) sequences visualise the cardiac functio...
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07/29/2022
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
Differential privacy (DP) has arisen as the gold standard in protecting ...
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06/19/2022
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection
Multi-object tracking (MOT) is a challenging task that involves detectin...
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02/02/2022
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
We present Posterior Temperature Optimized Bayesian Inverse Models (POTO...
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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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01/25/2022
Comparison of Evaluation Metrics for Landmark Detection in CMR Images
Cardiac Magnetic Resonance (CMR) images are widely used for cardiac diag...
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11/16/2021
Point detection through multi-instance deep heatmap regression for sutures in endoscopy
Purpose: Mitral valve repair is a complex minimally invasive surgery of ...
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07/14/2021
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
The CycleGAN framework allows for unsupervised image-to-image translatio...
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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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01/19/2020
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
Minimally Invasive Surgery (MIS) techniques have gained rapid popularity...
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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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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