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03/27/2023
Diffusion Models for Memory-efficient Processing of 3D Medical Images
Denoising diffusion models have recently achieved state-of-the-art perfo...
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03/14/2023
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images
Magnetic resonance (MR) images from multiple sources often show differen...
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03/14/2023
Point Cloud Diffusion Models for Automatic Implant Generation
Advances in 3D printing of biocompatible materials make patient-specific...
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01/31/2023
Improved distinct bone segmentation in upper-body CT through multi-resolution networks
Purpose: Automated distinct bone segmentation from CT scans is widely us...
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01/19/2023
Position Regression for Unsupervised Anomaly Detection
In recent years, anomaly detection has become an essential field in medi...
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10/28/2022
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors
Continuum robots in robot-assisted minimally invasive surgeries provide ...
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10/28/2022
The secret role of undesired physical effects in accurate shape sensing with eccentric FBGs
Fiber optic shape sensors have enabled unique advances in various naviga...
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04/06/2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Recently, diffusion models were applied to a wide range of image analysi...
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03/08/2022
Diffusion Models for Medical Anomaly Detection
In medical applications, weakly supervised anomaly detection methods are...
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12/06/2021
Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion models have shown impressive performance for generative modell...
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10/13/2021
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Limited availability of large image datasets is a major issue in the dev...
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03/02/2021
Comparison of Methods Generalizing Max- and Average-Pooling
Max- and average-pooling are the most popular pooling methods for downsa...
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10/14/2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Segmentation of distinct bones plays a crucial role in diagnosis, planni...
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07/28/2020
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
Anomaly detection and localization in medical images is a challenging ta...
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08/26/2019
Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center
Motion has been a challenge for magnetic resonance (MR) imaging ever sin...
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06/26/2018
AirLab: Autograd Image Registration Laboratory
Medical image registration is an active research topic and forms a basis...
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08/09/2017