most citedActive Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2026

Ultrasound-Based Prediction of Cirrhosis Decompensation Using Large-Scale Computer Vision Models

Guangyi Zhang, Peiyun Ni, Eugene Cheah +4

Decompensation represents a critical transition in the course of cirrhosis, yet clinicians have limited non-invasive tools to reliably predict its onset. In this study, we propose…

cs.CV2023★ 1 cited

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization

Daniel D Kim, Rajat S Chandra, Jian Peng +14

Deep learning models have demonstrated great potential in medical 3D imaging, but their development is limited by the expensive, large volume of annotated data required. Active lea…