Search Results for author: Rui Liao

Found 8 papers, 1 papers with code

MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction

no code implementations1 Feb 2023 Tao Ge, Maria Medrano, Rui Liao, David G. Politte, Jeffrey F. Williamson, Bruce R. Whiting, Joseph A. O'Sullivan

Therefore, to improve its convergence, we have embedded DECT SIR into a deep learning model-based unrolled network for 3D DECT reconstruction (MB-DECTNet) that can be trained in an end-to-end fashion.

A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms

no code implementations31 Jan 2022 Tao Ge, Maria Medrano, Rui Liao, Jeffrey F. Williamson, David G. Politte, Bruce R. Whiting, Joseph A. O'Sullivan

We compared DEAM with the proposed method to the original DEAM and vendor reconstructions with and without metal-artifact reduction for orthopedic implants (O-MAR).

Metal Artifact Reduction

Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations

no code implementations22 Mar 2019 Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen

The proposed registration approach is then built on the factorized latent shape code, with the assumption that the intrinsic shape deformation existing in original image domain is preserved in this latent space.

Image Registration Image-to-Image Translation

Dilated FCN for Multi-Agent 2D/3D Medical Image Registration

no code implementations22 Nov 2017 Shun Miao, Sebastien Piat, Peter Fischer, Ahmet Tuysuzoglu, Philip Mewes, Tommaso Mansi, Rui Liao

Second, to handle various artifacts in 2D X-ray images, multiple local agents are employed efficiently via FCN-based structures, and an auto attention mechanism is proposed to favor the proposals from regions with more reliable visual cues.

Image Registration Medical Image Registration

An Artificial Agent for Robust Image Registration

1 code implementation30 Nov 2016 Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu

The resulting registration approach inherently encodes both a data-driven matching metric and an optimal registration strategy (policy).

Image Registration Medical Image Registration

Real-time 2D/3D Registration via CNN Regression

no code implementations27 Jul 2015 Shun Miao, Z. Jane Wang, Rui Liao

In this paper, we present a Convolutional Neural Network (CNN) regression approach for real-time 2-D/3-D registration.


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