HONGKAI WANG

About HONGKAI WANG

HONGKAI WANG, With an exceptional h-index of 18 and a recent h-index of 13 (since 2020), a distinguished researcher at Dalian University of Technology, specializes in the field of Medical Image Analysis, Molecular Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas

Unsupervised Representation Learning of Medical Images for Downstream Segmentation

Study of the Relationship between Pulmonary Artery Pressure and Heart Valve Vibration Sound Based on Mock Loop

Gray and White Matters Segmentation in Brain CT Images using Multi-Task Learning from Paired CT and MR Images

Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images

A vr environment for human anatomical variation education: Modeling, visualization and interaction

Anatomysketch: An extensible open-source software platform for medical image analysis algorithm development

Low-dose mouse micro-CT image segmentation based on multi-resolution multi-organ shape prior knowledge model

HONGKAI WANG Information

University

Position

China

Citations(all)

1360

Citations(since 2020)

788

Cited By

852

hIndex(all)

18

hIndex(since 2020)

13

i10Index(all)

29

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

HONGKAI WANG Skills & Research Interests

Medical Image Analysis

Molecular Imaging

Top articles of HONGKAI WANG

Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas

International Journal of Computer Assisted Radiology and Surgery

2024/1

Unsupervised Representation Learning of Medical Images for Downstream Segmentation

2023/9/17

Study of the Relationship between Pulmonary Artery Pressure and Heart Valve Vibration Sound Based on Mock Loop

Bioengineering

2023/8/20

Gray and White Matters Segmentation in Brain CT Images using Multi-Task Learning from Paired CT and MR Images

Advances in Engineering Technology Research

2023/3/22

Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images

International Journal of Computer Assisted Radiology and Surgery

2023/2

A vr environment for human anatomical variation education: Modeling, visualization and interaction

IEEE Transactions on Learning Technologies

2022/12/8

Anatomysketch: An extensible open-source software platform for medical image analysis algorithm development

Journal of Digital Imaging

2022/12

Low-dose mouse micro-CT image segmentation based on multi-resolution multi-organ shape prior knowledge model

2022/8/26

Shape and Intensity Combined Statistical Atlas Registration for Torso Organ Segmentation from Mouse Mirco-CT Images

2022/3/18

Multiple organ localization in dual-modality pet/ct images based on transformer network with one-to-one object query

2022/3/18

Deformable torso anatomy education with three-dimensional autostereoscopic visualization and free-hand interaction

2022/3/12

A dynamic statistical cardiac atlas with adjustable shape and motion features

Digital Medicine

2022/1/1

Population-specific brain [18F]-FDG PET templates of Chinese subjects for statistical parametric mapping

Scientific Data

2021/11/26

A statistical model of spine shape and material for population-oriented biomechanical simulation

IEEE Access

2021/11/17

Implantation and control of wireless, battery-free systems for peripheral nerve interfacing

Journal of visualized experiments: JoVE

2021/10/20

Expression of urea transporter B in normal and injured brain

Frontiers in Neuroanatomy

2021/5/28

Automated brain structures segmentation from PET/CT images based on landmark-constrained dual-modality atlas registration

Physics in Medicine & Biology

2021/4/23

Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis

Renal Failure

2021/1/1

Differential diagnosis of PCa and BPH using intratumoral susceptibility signal intensities based on ESWAN

Proceedings of the ISMRM

2021

The combination of ITSS and R2* in quantitatively and automatically evaluating histological grade of HCC using ESWAN: A feasibility study

Proceedings of the ISMRM

2021

See List of Professors in HONGKAI WANG University(Dalian University of Technology)