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Found 11 papers, 2 papers with code
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
For a unified analysis of medical images from different modalities, data harmonization using image-to-image (I2I) translation is desired.
Memory-efficient GAN-based Domain Translation of High Resolution 3D Medical Images
The key idea to enable memory-efficient image generation is to first generate a low-resolution version of the image followed by the generation of patches of constant sizes but successively growing resolutions.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
It is shown that the CNN-based approach can segment the retina with high accuracy, whereas the segmentation of the PED proves to be challenging.
Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations
Methods: This publication presents a new GPU-based, accurate method for the simulation of radio-frequency ablations for lesions at the needle tip in general and for an existing visuo-haptic 4D VR simulator.
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
Currently generative adversarial networks (GANs) are rarely applied to medical images of large sizes, especially 3D volumes, due to their large computational demand.
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration
Our method is designed for large respiratory motion by integrating sparse keypoint correspondences into a dense continuous optimization framework.
Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures
Virtual reality (VR) training simulators of liver needle insertion in the hepatic area of breathing virtual patients currently need 4D data acquisitions as a prerequisite.
Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures
Then the methodology shown here allows the transfer of existing reference respiratory motion models of a 4D reference patient to a new static 3D patient.
Evaluation of Direct Haptic 4D Volume Rendering of Partially Segmented Data for Liver Puncture Simulation
The evaluation of the force algorithms compared to a force output from fully manually segmented gold-standard patient models, yields a low mean of 0. 12 N root mean squared force error and up to 1. 6 N for systematic maximum absolute errors.
Model-based Catheter Segmentation in MRI-images
Accurate and reliable segmentation of catheters in MR-guided interventions remains a challenge, and a step of critical importance in clinical workflows.
Probabilistic Appearance Models for Segmentation and Classification
Statistical shape and appearance models are often based on the accurate identification of one-to-one correspondences in a training data set.
