[HTML][HTML] Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory
In magnetic resonance (MR) imaging, a lack of standardization in acquisition often causes
pulse sequence-based contrast variations in MR images from site to site, which impedes …
pulse sequence-based contrast variations in MR images from site to site, which impedes …
Information-based disentangled representation learning for unsupervised MR harmonization
Accuracy and consistency are two key factors in computer-assisted magnetic resonance
(MR) image analysis. However, contrast variation from site to site caused by lack of …
(MR) image analysis. However, contrast variation from site to site caused by lack of …
[HTML][HTML] HACA3: A unified approach for multi-site MR image harmonization
The lack of standardization and consistency of acquisition is a prominent issue in magnetic
resonance (MR) imaging. This often causes undesired contrast variations in the acquired …
resonance (MR) imaging. This often causes undesired contrast variations in the acquired …
A latent space for unsupervised MR image quality control via artifact assessment
Image quality control (IQC) can be used in automated magnetic resonance (MR) image
analysis to exclude erroneous results caused by poorly acquired or artifact-laden images …
analysis to exclude erroneous results caused by poorly acquired or artifact-laden images …
[HTML][HTML] Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI
Clinical magnetic resonance images (MRIs) lack a standard intensity scale due to
differences in scanner hardware and the pulse sequences used to acquire the images …
differences in scanner hardware and the pulse sequences used to acquire the images …
Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models
The interconnection between the human lungs and other organs, such as the liver and
kidneys, is crucial for understanding the underlying risks and effects of lung diseases and …
kidneys, is crucial for understanding the underlying risks and effects of lung diseases and …
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices
Body composition analysis provides valuable insights into aging, disease progression, and
overall health conditions. Due to concerns of radiation exposure, two-dimensional (2D) …
overall health conditions. Due to concerns of radiation exposure, two-dimensional (2D) …
Revisiting registration-based synthesis: A focus on unsupervised MR image synthesis
Deep learning (DL) has led to significant improvements in medical image synthesis,
enabling advanced image-to-image translation to generate synthetic images. However, DL …
enabling advanced image-to-image translation to generate synthetic images. However, DL …
Revisiting registration-based image synthesis: a focus on unsupervised MR image synthesis
Deep learning (DL) has led to significant improvements in medical image synthesis,
enabling advanced image-toimage translation to generate synthetic images. However, DL …
enabling advanced image-toimage translation to generate synthetic images. However, DL …
Detail matters: High-frequency content for realistic synthetic mri generation
Deep Learning (DL)-based segmentation methods have been quite successful in various
medical imaging applications. The main bottleneck of these methods is the scarcity of quality …
medical imaging applications. The main bottleneck of these methods is the scarcity of quality …