Explaining artificial intelligence with visual analytics in healthcare

J Ooge, G Stiglic, K Verbert - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
To make predictions and explore large datasets, healthcare is increasingly applying
advanced algorithms of artificial intelligence. However, to make well‐considered and …

Facetto: Combining unsupervised and supervised learning for hierarchical phenotype analysis in multi-channel image data

R Krueger, J Beyer, WD Jang, NW Kim… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Facetto is a scalable visual analytics application that is used to discover single-cell
phenotypes in high-dimensional multi-channel microscopy images of human tumors and …

VA+ Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics

Z Huang, D Witschard, K Kucher… - Computer Graphics …, 2023 - Wiley Online Library
Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …

Visual analytics for the representation, exploration, and analysis of high-dimensional, multi-faceted medical data

RG Raidou - Biomedical Visualisation: Volume 2, 2019 - Springer
Medicine is among those research fields with a significant impact on humans and their
health. Already for decades, medicine has established a tight coupling with the visualization …

Tumor subregion evolution-based imaging features to assess early response and predict prognosis in oropharyngeal cancer

J Wu, MF Gensheimer, N Zhang, M Guo… - Journal of Nuclear …, 2020 - Soc Nuclear Med
The incidence of oropharyngeal squamous cell carcinoma (OPSCC) has been rapidly
increasing. Disease stage and smoking history are often used in current clinical trials to …

[HTML][HTML] Longitudinal visualization for exploratory analysis of multiple sclerosis lesions

S Sugathan, H Bartsch, F Riemer, R Grüner… - Computers & …, 2022 - Elsevier
In multiple sclerosis (MS), the amount of brain damage, anatomical location, shape, and
changes are important aspects that help medical researchers and clinicians to understand …

State‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning

M Schlachter, RG Raidou, LP Muren… - Computer Graphics …, 2019 - Wiley Online Library
Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex
and risky treatment approach, which requires precise planning, prior to the administration of …

A critical analysis of the evaluation practice in medical visualization

B Preim, T Ropinski, P Isenberg - Eurographics 8th EG Workshop …, 2018 - inria.hal.science
Medical visualization aims at directly supporting physicians in diagnosis and treatment
planning, students and residents in medical education, and medical physicists as well as …

Immersive analytics applications in life and health sciences

T Czauderna, J Haga, J Kim, M Klapperstück, K Klein… - Immersive …, 2018 - Springer
Life and health sciences are key application areas for immersive analytics. This spans a
broad range including medicine (eg, investigations in tumour boards), pharmacology (eg …

Visual analysis of tumor control models for prediction of radiotherapy response

RG Raidou, O Casares‐Magaz… - Computer Graphics …, 2016 - Wiley Online Library
In radiotherapy, tumors are irradiated with a high dose, while surrounding healthy tissues
are spared. To quantify the probability that a tumor is effectively treated with a given dose …