10 citations · 13 across the 2 of their papers we have counts for
4 papers
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…
FREA-Unet: Frequency-aware U-net for Modality Transfer
Hajar Emami, Qiong Liu, Ming Dong
While Positron emission tomography (PET) imaging has been widely used in diagnosis of number of diseases, it has costly acquisition process which involves radiation exposure to pat…
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…
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
Hajar Emami, Majid Moradi Aliabadi, Ming Dong +1
Image-to-image translation is to learn a mapping between images from a source domain and images from a target domain. In this paper, we introduce the attention mechanism directly t…