output
20062022
most citedDeep Learning in Medical Image Registration: A Review

666 citations

5 papers

cs.LG2022

Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging

Hongmei Zhang, Kai Wang, Yan Zhou +4

Objective: Estimation of the global optima of multiple model parameters is valuable in imaging to form a reliable diagnostic image. Given non convexity of the objective function, i…

eess.IV2019★ 666 cited

Deep Learning in Medical Image Registration: A Review

Yabo Fu, Yang Lei, Tonghe Wang +3

This paper presents a review of deep learning (DL) based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods…

physics.bio-ph2019★ 29 cited

Flow-induced segregation and dynamics of red blood cells in sickle cell disease

Xiao Zhang, Christina Caruso, Wilbur A. Lam +1

Blood flow in sickle cell disease (SCD) can substantially differ from normal blood flow due to significant alterations in the physical properties of the red blood cells (RBCs). Chr…

eess.IV2019★ 51 cited

Low-Dose CT with Deep Learning Regularization via Proximal Forward Backward Splitting

Qiaoqiao Ding, Gaoyu Chen, Xiaoqun Zhang +2

Low dose X-ray computed tomography (LDCT) is desirable for reduced patient dose. This work develops image reconstruction methods with deep learning (DL) regularization for LDCT. Ou…

cs.AI2006

A Neutrosophic Description Logic

Haibin Wang, Andre Rogatko, Florentin Smarandache +1

Description Logics (DLs) are appropriate, widely used, logics for managing structured knowledge. They allow reasoning about individuals and concepts, i.e. set of individuals with c…