A5072912898- Data Visualization and Analytics
- Video Analysis and Summarization
- Fetal and Pediatric Neurological Disorders
- AI in cancer detection
- Cell Image Analysis Techniques
- Multimedia Communication and Technology
- Design Education and Practice
- Bariatric Surgery and Outcomes
- Radiomics and Machine Learning in Medical Imaging
- Creativity in Education and Neuroscience
- Body Contouring and Surgery
- Surgical Simulation and Training
- 3D Shape Modeling and Analysis
- MRI in cancer diagnosis
- Media Influence and Health
- Gestational Diabetes Research and Management
- Colorectal Cancer Surgical Treatments
- Obesity and Health Practices
- Anatomy and Medical Technology
Harvard University
2024-2025
Harvard University Press
2024
University of Minnesota
2024
Haukeland University Hospital
2020-2023
University of Bergen
2019-2023
Visual stories are an effective and powerful tool to convey specific information a diverse public. Scrollytelling is recent visual storytelling technique extensively used on the web, where content appears or changes as users scroll up down page. By employing familiar gesture of scrolling its primary interaction mechanism, it provides with sense control, exploration discoverability while still offering simple intuitive interface. In this article, we present novel approach for authoring,...
In our current visual-centric digital age, the capability to interpret, understand, and produce visual representations of data —termed visualization literacy— is paramount. However, not everyone adept at navigating this terrain. This paper explores barriers that individuals who misread a encounter, aiming understand their specific mental gaps.
Recent advancements have enabled tissue samples to be profiled at the unprecedented level of detail a single cell. Analysis single-cell data has life scientists generate hypotheses and make discoveries that are relevant understanding disease developing therapeutics. Large-scale profiling efforts underway with aim 'atlas' resources catalog cellular archetypes including biomarkers spatial locations. While problem visualization is not new, increasing size, resolution, heterogeneity atlas...
In this paper, we explore viewers’ strategies in visual problem-solving tasks. We build on the traditional metrics of accuracy and time to better understand learning that occurs as individuals interact with visualizations. conducted an in-lab eye-tracking user study 53 participants from diverse demographic backgrounds. Using questions Visualization Literacy Assessment Test (VLAT), examined participants’ strategies. employed a mixed-methods approach capturing quantitative data performance...
In this paper, we explore viewers’ strategies in visual problem-solving tasks. We build on the traditional metrics of accuracy and time to better understand learning that occurs as individuals interact with visualizations. conducted an in-lab eye-tracking user study 53 participants from diverse demographic backgrounds. Using questions Visualization Literacy Assessment Test (VLAT), examined participants’ strategies. employed a mixed-methods approach capturing quantitative data performance...
We introduce Nexus (Network-based EXploration and Connectivity Analysis for Understanding Spatial Tissue Organization), a method designed to provide unified network exploration interface the analysis of connectivity derived from high-resolution three-dimensional (3D) tissue imaging. Advancements in imaging technologies have revolutionized our ability map human bodyat unprecedented levels detail, enabling single cell-resolution functional units individual cells. This capability has...
Recent advancements have enabled tissue samples to be profiled at the unprecedented level of detail a single cell. Analysis single-cell data has life scientists generate hypotheses and make discoveries that are relevant understanding disease developing therapeutics. Large-scale profiling efforts underway with aim 'atlas' resources catalog cellular archetypes including biomarkers spatial locations. While problem visualization is not new, increasing size, resolution, heterogeneity atlas...
Abstract Purpose Bariatric surgery reduces mortality in patients with severe obesity and is predominantly performed women. Therefore, an analysis of sex-specific differences after bariatric a population-based dataset from Austria was performed. The focus on deceased surgery. Materials Methods Austrian health insurance funds cover about 98% the population. Medical claims data all Austrians who underwent 01/2010 to 12/2018 were analyzed. In total, 19,901 107,806 observed years postoperative...
Abstract Better understanding of the complex processes driving tumor growth and metastases is critical for developing targeted treatment strategies in cancer. Radiomics extracts large amounts features from medical images which enables radiomic profiling combination with clinical markers. However, analyzing imaging data not trivial supporting tools aiding these exploratory analyses are presently missing. In this paper, we present an approach that aims to enable analysis multiparametric...
Visual stories are an effective and powerful tool to convey specific information a diverse public. Scrollytelling is recent visual storytelling technique extensively used on the web, where content appears or changes as users scroll up down page. By employing familiar gesture of scrolling its primary interaction mechanism, it provides with sense control, exploration discoverability while still offering simple intuitive interface. In this paper, we present novel approach for authoring,...
We present the design and a qualitative evaluation of novel hybrid system that integrates Mixed Reality (MR) stereoscopic view 3D spatial data with linked views on traditional 2D display. Our tackles visualization challenges in rapidly growing field biology measures molecular components tissues their native context produces tissue maps unprecedented complexity resolution. This is particularly challenging due to diversity techniques active development generate vastly different properties....
We present Cell2Cell, a novel visual analytics approach for quantifying and visualizing networks of cell-cell interactions in three-dimensional (3D) multi-channel cancerous tissue data. By analyzing cellular interactions, biomedical experts can gain more accurate understanding the intricate relationships between cancer immune cells. Recent methods have focused on inferring interaction based proximity cells low-resolution 2D imaging contrast, we analyze cell by presence levels specific...
Abstract Purpose Bariatric surgery has a favorable effect on fertility in women. However, due to lack of data regarding children’s outcomes, the ideal time for conception following bariatric is unknown. Current guidelines advise avoiding pregnancy during initial weight loss phase (12–24 months after surgery) as there may be potential risks offspring. Thus, we aimed analyze health outcomes children born mothers who had undergone surgery. The surgery-to-delivery interval was studied. Materials...
Tumor tissue characteristics derived from imaging data are gaining importance in clinical research. sub-regions may play a critical role defining tumor types and hold essential information about aggressiveness. Depending on the tumor's location within body, such can be easily identified determined by physiology, but these not readily visible to others. Regions currently explored comparing image sequences analyzing heterogeneity present. To improve exploration of sub-regions, we propose...