Paper Presentation at IEEE Pacific VIS!
Dimensionality Explorer for Single-Cell Analysis
We introduced a novel visual analytics system, for interactively determining the optimal dimensionality for dimensionality reduction of the data for the task of cell type identification. By providing a novel visualization scheme, such as the hull heatmap and several interactive cell filtering methods, our method significantly reduces the effort required to review a large number of dimensionality reduction plots.
A novel visual analytics framework for neuroscientists!
MitoVis: A Unified Visual Analytics System for End-to-End Neuronal Mitochondria Analysis (IEEE TVCG, 2023)
We introduced MitoVis, an all-in-one visual analytics system, to perform neuronal mitochondria morphology analysis quickly and effectively. MitoVis enables rapid analysis by drastically reducing the time required for data processing through deep learning and enables precise analysis through effective visualization, interaction, and interactive learning approaches.
Paper Published in Briefings in Bioinformatics (IF:13.998, JCR < 1.8%)!
RAMP: Response-Aware Multi-task Learning with Contrastive Regularization for Cancer Drug Response Prediction
RAMP is the high-throughput prediction of cancer drug sensitivity and will be useful for guiding cancer drug selection processes.
Computer Vision
Computer Vision is field of artificial intelligence that extracts useful information from images, videos and other visual inputs. Especially, we focus on computer vision for medical imaging which generates meaningful information or insight through enhancing, classifying, segmenting the images in medical domain. Computer vision in medical domain have brought significant development in simplifying the complex and challenging tasks.
Visualization
Visualization is any technique for creating images, diagrams, or animations to communicate a message. Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of humanity.
Parallel and Distributed Computing
Distributed computing is often used in tandem with parallel computing. Parallel computing on a single computer uses multiple processors to process tasks in parallel, whereas distributed parallel computing uses multiple computing devices to process those tasks.