Weitian Chen

Orcid: 0000-0001-7242-9285

According to our database1, Weitian Chen authored at least 56 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CartiMorph: A framework for automated knee articular cartilage morphometrics.
Medical Image Anal., January, 2024

Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics.
CoRR, 2024

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior.
CoRR, 2024

Source-free unsupervised adaptive segmentation for knee joint MRI.
Biomed. Signal Process. Control., 2024

2023
Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China.
Remote. Sens., 2023

An Uncertainty Aided Framework for Learning based Liver T<sub>1</sub>ρ Mapping and Analysis.
CoRR, 2023

CAMP-Net: Context-Aware Multi-Prior Network for Accelerated MRI Reconstruction.
CoRR, 2023

k-t CLAIR: Self-consistency Guided Multi-prior Learning for Dynamic Parallel MR Image Reconstruction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Uncertainty-weighted Multi-tasking for T1ρ and T2 Mapping in the Liver with Self-supervised Learning.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Hydrological Evaluation of Satellite-Based Precipitation Products in Hunan Province.
Remote. Sens., 2022

Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation.
Knowl. Based Syst., 2022

Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification.
CoRR, 2022

Uncertainty-Aware Self-supervised Neural Network for Liver T<sub>1ρ</sub> Mapping with Relaxation Constraint.
CoRR, 2022

Deep collaborative network with alpha matte for precise knee tissue segmentation from MRI.
Comput. Methods Programs Biomed., 2022

Denoising of three-dimensional fast spin echo magnetic resonance images of knee joints using spatial-variant noise-relevant residual learning of convolution neural network.
Comput. Biol. Medicine, 2022

Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning.
Appl. Soft Comput., 2022

Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted Image.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
Multipath CNN with alpha matte inference for knee tissue segmentation from MRI.
CoRR, 2021

2020
A Model-Based Approach to the Estimation and Control of a Continuously Variable Transmission.
IEEE Trans. Control. Syst. Technol., 2020

Noise Estimation-based Method for MRI Denoising with Discriminative Perceptual Architecture.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

2019
An Implicit Authentication Solution based on User's Keystroke Behavior of Smartphone Usage.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2019

2014
Simultaneous Fault Isolation and Estimation of Lithium-Ion Batteries via Synthesized Design of Luenberger and Learning Observers.
IEEE Trans. Control. Syst. Technol., 2014

2013
On the zeros of blocked time-invariant systems.
Syst. Control. Lett., 2013

2012
A Combined Multiple Model Adaptive Control Scheme and Its Application to Nonlinear Systems With Nonlinear Parameterization.
IEEE Trans. Autom. Control., 2012

Properties of blocked linear systems.
Autom., 2012

Autoregressive models of singular spectral matrices.
Autom., 2012

Identifiability of regular and singular multivariate autoregressive models from mixed frequency data.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Actuator fault diagnosis for a class of nonlinear systems and its application to a laboratory 3D crane.
Autom., 2011

On the zeros of blocked linear systems with single and mixed frequency data.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Generalized Linear Dynamic Factor Models: An Approach via Singular Autoregressions.
Eur. J. Control, 2010

Singular autoregressions for Generalized Dynamic Factor Models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Adaptive output feedback control of nonlinear systems with nonlinear parameterization: A dwell-time-switching based multiple model adaptive control approach.
Proceedings of the American Control Conference, 2010

2009
Generalized linear dynamic factor models - An approach via singular autoregressions.
Proceedings of the 10th European Control Conference, 2009

Solving discrete algebraic Riccati equations: A new recursive method.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Multiple model adaptive control (MMAC) for nonlinear systems with nonlinear parameterization.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

AR models of singular spectral matrices.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Output Feedback Controller Design for a Class of MIMO Nonlinear Systems Using High-Order Sliding-Mode Differentiators With Application to a Laboratory 3-D Crane.
IEEE Trans. Ind. Electron., 2008

Output estimator based fault detection for a class of nonlinear systems with unknown inputs.
Proceedings of the American Control Conference, 2008

Fault Class Isolation in linear systems with unknown inputs.
Proceedings of the American Control Conference, 2008

2007
A sliding mode observer-based strategy for fault detection, isolation, and estimation in a class of Lipschitz nonlinear systems.
Int. J. Syst. Sci., 2007

Adaptive actuator fault detection, isolation and accommodation in uncertain systems.
Int. J. Control, 2007

Actuator fault diagnosis for affine nonlinear systems with unknown inputs.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Adaptive Sensor Fault Detection and Isolation in Uncertain Systems.
Proceedings of the American Control Conference, 2007

Design of a TS Based Fuzzy Nonlinear Unknown Input Observer with Fault Diagnosis Applications.
Proceedings of the American Control Conference, 2007

2006
High-order Sliding-mode Differentiator Based Actuator Fault Diagnosis For Linear Systems with Arbitrary Relative Degree and Unmatched Unknown Inputs.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Fault detection and isolation based on novel unknown input observer design.
Proceedings of the American Control Conference, 2006

A variable structure controller for a class of uncertain systems with unknown uncertainty bounding function.
Proceedings of the American Control Conference, 2006

Novel sliding mode observers for a class of uncertain systems.
Proceedings of the American Control Conference, 2006

Unknown input observer design for a class of nonlinear systems: an LMI approach.
Proceedings of the American Control Conference, 2006

2005
A Novel Fuzzy System With Dynamic Rule Base.
IEEE Trans. Fuzzy Syst., 2005

Actuator fault isolation and estimation for uncertain nonlinear systems.
Proceedings of the IEEE International Conference on Systems, 2005

Unknown input observer of a class of switched control systems.
Proceedings of the American Control Conference, 2005

An actuator fault isolation strategy for linear and nonlinear systems.
Proceedings of the American Control Conference, 2005

2004
Observer design for linear switched control systems.
Proceedings of the 2004 American Control Conference, 2004

2001
Simple robust output-feedback controller for uncertain nonlinear systems.
IEEE Trans. Autom. Control., 2001

Adaptive nonlinear control with partial overparametrization.
Syst. Control. Lett., 2001


  Loading...