Hailong Qiu

According to our database1, Hailong Qiu authored at least 24 papers between 2014 and 2025.

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

Timeline

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Bibliography

2025
Constrained multi-scale dense connections for biomedical image segmentation.
Pattern Recognit., 2025

2024
HOCM-Net: 3D coarse-to-fine structural prior fusion based segmentation network for the surgical planning of hypertrophic obstructive cardiomyopathy.
Expert Syst. Appl., 2024

2023
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal., December, 2023

Error Analysis of Fully Discrete Scheme for the Cahn-Hilliard-Magneto-Hydrodynamics Problem.
J. Sci. Comput., April, 2023

Error estimates of deep learning methods for the nonstationary Magneto-hydrodynamics equations.
CoRR, 2023

Fully discrete finite element schemes for the nonstationary 3D magneto-micropolar equations.
CoRR, 2023

2022
Estimate Analysis of a Fully Discrete Mixed Finite Element Scheme for Stochastic Incompressible Navier-Stokes Equations with Multiplicative Noise.
CoRR, 2022

2021
Analysis of Fully Discrete Mixed Finite Element Methods for Time-dependent Stochastic Stokes Equations with Multiplicative Noise.
J. Sci. Comput., 2021

Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.
ACM J. Emerg. Technol. Comput. Syst., 2021

Artificial Intelligence-based Computed Tomography Processing Framework for Surgical Telementoring of Congenital Heart Disease.
ACM J. Emerg. Technol. Comput. Syst., 2021

Quantization of Deep Neural Networks for Accurate Edge Computing.
ACM J. Emerg. Technol. Comput. Syst., 2021

ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection.
CoRR, 2021

Quantization of Deep Neural Networks for Accurate EdgeComputing.
CoRR, 2021

Multi-level mixed finite element algorithms for the stationary incompressible magneto-hydrodynamics equations.
Comput. Math. Appl., 2021

A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.
Int. J. Comput. Assist. Radiol. Surg., 2021

AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease.
Commun. ACM, 2021

2020
Well-Posedness and Finite Element Approximation for the Stationary Magneto-Hydrodynamics Problem with Temperature-Dependent Parameters.
J. Sci. Comput., 2020

Error Analysis of Euler Semi-implicit Scheme for the Nonstationary Magneto-hydrodynamics Problem with Temperature Dependent Parameters.
J. Sci. Comput., 2020

Joint Clinical Data and CT Image Based Prognosis: A Case Study on Postoperative Pulmonary Venous Obstruction Prediction.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019
Two-grid MFEAs for the incompressible Stokes type variational inequality with damping.
Comput. Math. Appl., 2019

2018
Two-grid stabilized methods for the stationary incompressible Navier-Stokes equations with nonlinear slip boundary conditions.
Appl. Math. Comput., 2018

2017
A Mixed-FEM for Navier-Stokes type variational inequality with nonlinear damping term.
Comput. Math. Appl., 2017

2015
Two-level defect-correction stabilized finite element method for Navier-Stokes equations with friction boundary conditions.
J. Comput. Appl. Math., 2015

2014
Iterative penalty methods for the steady Navier-Stokes equations.
Appl. Math. Comput., 2014


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