1.1k citations · 1.4k across the 38 of their papers we have counts for
5 papers · 1 filter
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos +6
Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propell…
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…
A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech
Jonghye Woo, Fangxu Xing, Jerry L. Prince +5
Intelligible speech is produced by creating varying internal local muscle groupings -- i.e., functional units -- that are generated in a systematic and coordinated manner. There ar…
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…