… on visualization techniques for specific medical data … perceptually motivated 3D medical
image data visualization [4], multimodal medical data [6], medical flow data [8], cardiac 4D data […

… medical image data or unsteady biomedical simulation data where the dynamic nature of the
data … In this section, we provide a high-level discussion of perceptual and cognitive issues …

… visualization can occur in any of the medical imaging phases as the visualization may not
solely address the underlying data … Perceptual and cognitive uncertainty is related to the user …

… in medical AR scenarios where medical imaging information … study in which four subjects
used four different visualization … of the relevant anatomy to their 3D-printed counterparts. We …

… evidence of the perceptual efficacy for many tasks and visualization types, but our survey
provides a window into open research questions in many other situations. One of our survey’s …

… study how masked image modeling strategies leverage performance from the viewpoints of
3D medical image … contrastive learning, masked image modeling approaches accelerate the …

… imaging (MRI) is a popular and effective medical imaging … review on recent developments
in MR image denoising works in the following paragraphs. Filtering-based and model-driven …

… In addition to NMI, structural similarity index measure (SSIM), and a feature perceptual loss
term … [30] used a GAN to perform unsupervised deformable image registration of 3D brain MR …

… This literature review highlights the paradigm shift that AI has brought to medical imaging, …
Moreover, this method also introduces a novel perceptual loss function that incorporates …

… vessels from highly sparse and noisy biomedical image data. Their paradigm includes a …
layers to predict relative image similarities correlating well with perceptual judgments. EMD [124…