4 citations · 4 across the 1 of their papers we have counts for
4 papers
Self domain adapted network
Yufan He, Aaron Carass, Lianrui Zuo +2
Domain shift is a major problem for deploying deep networks in clinical practice. Network performance drops significantly with (target) images obtained differently than its (source…
Validating uncertainty in medical image translation
Jacob C. Reinhold, Yufan He, Shizhong Han +5
Medical images are increasingly used as input to deep neural networks to produce quantitative values that aid researchers and clinicians. However, standard deep neural networks do…
Finding novelty with uncertainty
Jacob C. Reinhold, Yufan He, Shizhong Han +5
Medical images are often used to detect and characterize pathology and disease; however, automatically identifying and segmenting pathology in medical images is challenging because…
Evaluating the Impact of Intensity Normalization on MR Image Synthesis
Jacob C. Reinhold, Blake E. Dewey, Aaron Carass +1
Image synthesis learns a transformation from the intensity features of an input image to yield a different tissue contrast of the output image. This process has been shown to have…