100 citations · 138 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 100 cited
Learning Disentangled Representations in the Imaging Domain
Xiao Liu, Pedro Sanchez, Spyridon Thermos +2
Disentangled representation learning has been proposed as an approach to learning general representations even in the absence of, or with limited, supervision. A good general repre…
cs.LG2021★ 38 cited
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Sarthak Pati, Siddhesh P. Thakur, İbrahim Ethem Hamamcı +39
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities. However, greater expertise is required to develop DL algorithms,…