11 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 5 cited
Pay Attention when Required
Swetha Mandava, Szymon Migacz, Alex Fit Florea
Transformer-based models consist of interleaved feed-forward blocks - that capture content meaning, and relatively more expensive self-attention blocks - that capture context meani…
eess.IV2020★ 2 cited
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI
Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu +5
Positron Emission Tomography (PET) is now regarded as the gold standard for the diagnosis of Alzheimer's Disease (AD). However, PET imaging can be prohibitive in terms of cost and…
eess.IV2020★ 11 cited
GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis
Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava +4
Synthesizing medical images, such as PET, is a challenging task due to the fact that the intensity range is much wider and denser than those in photographs and digital renderings a…