From the 1 of 4 linked papers with an AI index.
4 papers
ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model
San Lee, Nalee Kim, Jeong Il Yu +2
ViPSAM is a visual prompting framework that uses the Segment Anything Model together with contrast-enhanced MRI as visual guidance to improve liver lesion segmentation on low‑contr…
Classification of Multi-Parametric Body MRI Series Using Deep Learning
Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm +2
Multi-parametric magnetic resonance imaging (mpMRI) exams have various series types acquired with different imaging protocols. The DICOM headers of these series often have incorrec…
Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI
Nicole Tran, Anisa Prasad, Yan Zhuang +6
The segmentation of multiple organs in multi-parametric MRI studies is critical for many applications in radiology, such as correlating imaging biomarkers with disease status (e.g.…
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation
Xinya Wang, Tejas Sudharshan Mathai, Boah Kim +1
Multiphase CT studies are routinely obtained in clinical practice for diagnosis and management of various diseases, such as cancer. However, the CT studies can be acquired with low…