MedSyn2 generates controllable high-resolution 3D CT volumes using optional text prompts and partial semantic segmentation masks via a modified diffusion transformer with gated attention.
RadImageNet: an open radiologic deep learning research dataset for effective transfer learning
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
NeuroBridge integrates self-supervised MRI pretraining with hippocampal tasks and gated fusion to reach 88.17% AD vs. CN accuracy on ADNI and 82.78% on OASIS, claiming gains over single-task methods with cross-cohort generalization.
citing papers explorer
-
MedSyn2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts
MedSyn2 generates controllable high-resolution 3D CT volumes using optional text prompts and partial semantic segmentation masks via a modified diffusion transformer with gated attention.