Research graph
References from Automated annotation error detection and correction for manual two-dimensional cinematic magnetic resonance imaging segmentations using segment anything 2. Local targets link to admitted publications; unresolved targets remain external evidence.
Accuracy of deformable image registration-based intra-fraction motion management in magnetic resonance-guided radiotherapy
2023 · External reference
TrackRAD2025 challenge dataset: real-time tumor tracking for MRI-guided radiotherapy
2025 · External reference
Robust T-loss for medical image segmentation
10.1016/j.media.2025.103735 · 2025 · External reference
A review and systematic guide to counteracting medical data scarcity for AI applications
10.1016/j.cmpbup.2025.100220 · 2025 · External reference
Estimating label quality and errors in semantic segmentation data via any model
2023 · External reference
Deep Neural Network-Based Noisy Pixel Estimation for Breast Ultrasound Segmentation
2022 · External reference
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
2022 · External reference
SAM 2: segment anything in images and videos
2024 · External reference
MRgRT real-time target localization using foundation models for contour point tracking and promptable mask refinement
10.1088/1361-6560/ad9dad · 2025 · External reference
Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation
10.1109/tmi.2004.828354 · 2004 · External reference
Unresolved reference
1977 · External reference
Outliers detection in skewed distributions: Split sample skewness based boxplot
2020 · External reference
Patient-specific deep learning tracking framework for real-time 2D target localization in MRI-guided radiotherapy
2024 · External reference