3 papers
cs.CV2026
ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation
Yu Xin, Gorkem Can Ates, Jun Ma +5
Text guided 3D medical image segmentation offers a flexible alternative to class based and spatial prompt based models by allowing users to specify regions of interest directly in…
eess.IV2025
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
Hongxu Jiang, Muhammad Imran, Teng Zhang +4
Denoising diffusion probabilistic models (DDPMs) have achieved unprecedented success in computer vision. However, they remain underutilized in medical imaging, a field crucial for…
eess.IV2024
Adaptive Whole-Body PET Image Denoising Using 3D Diffusion Models with ControlNet
Boxiao Yu, Kuang Gong
Positron Emission Tomography (PET) is a vital imaging modality widely used in clinical diagnosis and preclinical research but faces limitations in image resolution and signal-to-no…