Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Junqing Huang

Faculty of Sciences > Department of Mathematics: Analysis, Logic and Discrete Mathematics

ORCID iD: 0000-0001-7738-6093

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- PhD Thesis
Variational modeling and (semi)-sparsity generalizations for image analysis and processing : theory, optimization and applications

Junqing Huang (UGent)

(2025)
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Performing particle image segmentation on an extremely small dataset

Marianna Chatzakou (UGent) , Junqing Huang (UGent) , Bogdan Parakhonskiy (UGent) , Michael Ruzhansky (UGent) , Andre Skirtach (UGent) , Junnan Song (UGent) and Xuechao Wang (UGent)

(2024) Extended Abstracts 2021/2022 : Ghent analysis and PDE seminar. In Trends in Mathematics 2. p.295-304
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An efficient neural network for the diagnosis of Parkinson’s disease using dynamic handwriting analysis

Xuechao Wang (UGent) , Sven Nõmm, Junqing Huang (UGent) , Marianna Chatzakou (UGent) and Michael Ruzhansky (UGent)

(2024) EXTENDED ABSTRACTS MWCAPDE 2023. In Trends in mathematics (TM) 1. p.97-104
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- Conference Paper
- P1
- open access
Semi-sparsity for triangular mesh denoising

Junqing Huang (UGent)

(2024) EXTENDED ABSTRACTS MWCAPDE 2023. In Trends in mathematics (TM) 1. p.53-61
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- Journal Article
- A1
- open access
LSTM-CNN : an efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis

Xuechao Wang (UGent) , Junqing Huang (UGent) , Marianna Chatzakou (UGent) , Kadri Medijainen, Aaro Toomela, Sven Nomm and Michael Ruzhansky (UGent)

(2024) COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. 247. p.1-9
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- Journal Article
- A1
- open access
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease

Xuechao Wang (UGent) , Junqing Huang (UGent) , Marianna Chatzakou (UGent) , Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela and Michael Ruzhansky (UGent)

(2024) BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 87(Part B).
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- Conference Paper
- P1
- open access
A light-weight CNN model for efficient Parkinson's disease diagnostics

Xuechao Wang (UGent) , Junqing Huang (UGent) , Marianna Chatzakou (UGent) , Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nomm and Michael Ruzhansky (UGent)

(2023) Computer-Based Medical Systems, 36th IEEE International symposium, Proceedings. In IEEE International Symposium on Computer-Based Medical Systems p.616-621
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- Journal Article
- A1
- open access
Intrinsic image transfer for illumination manipulation

Junqing Huang (UGent) , Michael Ruzhansky (UGent) , Qianying Zhang and Haihui Wang

(2023) IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 45(6). p.7444-7456
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- Journal Article
- A1
- open access
Semi-sparsity for smoothing filters

Junqing Huang (UGent) , Haihui Wang, Xuechao Wang (UGent) and Michael Ruzhansky (UGent)

(2023) IEEE TRANSACTIONS ON IMAGE PROCESSING. 32. p.1627-1639
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Using scanning electron microscopy and atomic force microscopy to study the formation of nanoparticles on red blood cell surface in cervical cancer patients

Sargylana Mamaeva, Irina Kononova, Michael Ruzhansky (UGent) , Petr Nikiforov, Nadezhda Nikolaevа, Alexandr Pavlov, Nyurguyna Fedorova, Junqing Huang (UGent) , Motrena Semenova, Daiaana Barashkova, et al.

(2020) INTERNATIONAL JOURNAL OF BIOMEDICINE. 10(1). p.70-75

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