most citedGeneralizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion

9 citations · 30 across the 7 of their papers we have counts for

collaborators

9 papers

physics.med-ph20217 cited

Deep learning based CT-to-CBCT deformable image registration for autosegmentation in head and neck adaptive radiation therapy

Xiao Liang, Howard Morgan, Dan Nguyen +1

The purpose of this study is to develop a deep learning based method that can automatically generate segmentations on cone-beam CT (CBCT) for head and neck online adaptive radiatio…

math.DS20203 cited

Nonlinear Cooperative Control of Double Drone-Bar Transportation System

Peng Zhang, Yongchun Fang, Xiao Liang +2

Due to the limitation of the drone's load capacity, various specific tasks need to be accomplished by multiple drones in collaboration. In some transportation tasks, two drones are…

gr-qc2020

Divergence Behavior of Thermodynamic Curvature Scalar at Critical Point in the Extended Phase Space of Generic Black Holes

Ya-Peng Hu, Liang Cai, Xiao Liang +2

The - phase transition and critical behavior in the extended phase space of asymptotic Anti-de Sitter (AdS) black holes have been widely investigated, in which four critical…

eess.SP20206 cited

A Nonparametric Unsupervised Learning Approach for Structural Damage Detection

Kareem Eltouny, Xiao Liang

In a world of aging infrastructure, structural health monitoring (SHM) emerges as a major step towards resilient and sustainable societies. The current advancements in machine lear…

eess.SP20205 cited

Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization

Xiao Liang, Seyed Omid Sajedi

Post-disaster inspections are critical to emergency management after earthquakes. The availability of data on the condition of civil infrastructure immediately after an earthquake…

cs.RO2020

A Real-Time Receding Horizon Sequence Planner for Disassembly in A Human-Robot Collaboration Setting

Meng-Lun Lee, Sara Behdad, Xiao Liang +1

Product disassembly is a labor-intensive process and is far from being automated. Typically, disassembly is not robust enough to handle product varieties from different shapes, mod…