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eess.IV2025
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Behzad Hejrati, Soumyanil Banerjee, Carri Glide-Hurst +1
Diffusion models have been used extensively for high quality image and video generation tasks. In this paper, we propose a novel conditional diffusion model with spatial attention…
eess.IV2021
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation
Hajar Emami, Ming Dong, Siamak Nejad-Davarani +1
In medical image synthesis, model training could be challenging due to the inconsistencies between images of different modalities even with the same patient, typically caused by in…
eess.IV2020
Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer
Hajar Emami, Ming Dong, Carri K. Glide-Hurst
Recently, interest in MR-only treatment planning using synthetic CTs (synCTs) has grown rapidly in radiation therapy. However, developing class solutions for medical images that co…