Visualization and visual analytics approaches for image and video datasets: A survey

S Afzal, S Ghani, MM Hittawe, SF Rashid… - ACM Transactions on …, 2023 - dl.acm.org
Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …

Spatial omics techniques and data analysis for cancer immunotherapy applications

Y Zhang, RY Lee, CW Tan, X Guo, WWY Yim… - Current Opinion in …, 2024 - Elsevier
Highlights•Spatial omics provide multi-layer molecular profiling of cancer with high
resolution.•mIHC/IF and spatial transcriptomics techniques are advancing immunotherapy.• …

Iron loading is a prominent feature of activated microglia in Alzheimer's disease patients

B Kenkhuis, A Somarakis, L de Haan… - Acta neuropathologica …, 2021 - Springer
Brain iron accumulation has been found to accelerate disease progression in amyloid-β (Aβ)
positive Alzheimer patients, though the mechanism is still unknown. Microglia have been …

Visinity: Visual spatial neighborhood analysis for multiplexed tissue imaging data

S Warchol, R Krueger, AJ Nirmal… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
New highly-multiplexed imaging technologies have enabled the study of tissues in
unprecedented detail. These methods are increasingly being applied to understand how …

Polyphony: An interactive transfer learning framework for single-cell data analysis

F Cheng, MS Keller, H Qu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Reference-based cell-type annotation can significantly reduce time and effort in single-cell
analysis by transferring labels from a previously-annotated dataset to a new dataset …

Scope2screen: Focus+ context techniques for pathology tumor assessment in multivariate image data

J Jessup, R Krueger, S Warchol, J Hoffer… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Inspection of tissues using a light microscope is the primary method of diagnosing many
diseases, notably cancer. Highly multiplexed tissue imaging builds on this foundation …

Aardvark: Composite Visualizations of Trees, Time-Series, and Images

D Lange, R Judson-Torres… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
How do cancer cells grow, divide, proliferate, and die? How do drugs influence these
processes? These are difficult questions that we can attempt to answer with a combination of …

Insights into highly multiplexed tissue images: a primer for mass cytometry imaging data analysis

J Zhao, Y Liu, M Wang, J Ma, P Yang, S Wang… - TrAC Trends in …, 2022 - Elsevier
Highly multiplexed tissue imaging is promising in human health and disease investigation
for the characterization ability of molecular features and tissue context. Mass-based …

Not As Easy As You Think--Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology

J Chen, P Isenberg, RS Laramee, T Isenberg… - arxiv preprint arxiv …, 2022 - arxiv.org
We present and discuss the results of a two-year qualitative analysis of images published in
IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization image …

[HTML][HTML] Kokiri: Random-forest-based comparison and characterization of cohorts

K Eckelt, P Adelberger, MJ Bauer, T Zichner, M Streit - 2022 - europepmc.org
A bstract We propose an interactive visual analytics approach to characterizing and
comparing patient subgroups (ie, cohorts). Despite having the same disease and similar …