12 citations · 24 across the 42 of their papers we have counts for
7 papers · 1 filter
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
Delin An, Pengfei Gu, Milan Sonka +2
Deep learning (DL) methods have shown remarkable successes in medical image segmentation, often using large amounts of annotated data for model training. However, acquiring a large…
FAVis: Visual Analytics of Factor Analysis for Psychological Research
Yikai Lu, Chaoli Wang
Psychological research often involves understanding psychological constructs through conducting factor analysis on data collected by a questionnaire, which can comprise hundreds of…
StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization
Kaiyuan Tang, Chaoli Wang
In volume visualization, visualization synthesis has attracted much attention due to its ability to generate novel visualizations without following the conventional rendering pipel…
A Comparative Study of Neural Surface Reconstruction for Scientific Visualization
Siyuan Yao, Weixi Song, Chaoli Wang
This comparative study evaluates various neural surface reconstruction methods, particularly focusing on their implications for scientific visualization through reconstructing 3D s…
FCNR: Fast Compressive Neural Representation of Visualization Images
Yunfei Lu, Pengfei Gu, Chaoli Wang
We present FCNR, a fast compressive neural representation for tens of thousands of visualization images under varying viewpoints and timesteps. The existing NeRVI solution, albeit…
Boosting Medical Image Classification with Segmentation Foundation Model
Pengfei Gu, Zihan Zhao, Hongxiao Wang +5
The Segment Anything Model (SAM) exhibits impressive capabilities in zero-shot segmentation for natural images. Recently, SAM has gained a great deal of attention for its applicati…