Thanh-An Pham

Orcid: 0000-0003-0271-2696

According to our database¹, Thanh-An Pham authored at least 18 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2024

Chest X-ray image classification using transfer learning and hyperparameter customization for lung disease diagnosis.

[BibT_eX]

[DOI]

Thanh-An Pham

Van-Dung Hoang

J. Inf. Telecommun., October, 2024

Improve Breast Cancer Classification Based on Deep Feature Fusion and Hyperparameter Customization Using Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2024

2023

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2023

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration.

[BibT_eX]

[DOI]

CoRR, 2023

A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models.

[BibT_eX]

[DOI]

Phuoc-Chung van Nguyen

Tuyen Ngoc Truong

Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

Fusion of ViT Technique and Image Filtering in Deep Learning for Plant Pests and Diseases Recognition.

[BibT_eX]

[DOI]

Van-Dung Hoang

Thanh-An Pham

Proceedings of the International Conference on System Science and Engineering, 2023

Combination of Deep Learning and Ambiguity Rejection for Improving Image-Based Disease Diagnosis.

[BibT_eX]

[DOI]

Thanh-An Pham

Van-Dung Hoang

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration.

[BibT_eX]

[DOI]

Dataset, November, 2022

Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2022

2021

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Diffraction Tomography From Single-Molecule Localization Microscopy: Numerical Feasibility.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Optimal-Transport-Based Metric For SMLM.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization Microscopy.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Pocket Guide to Solve Inverse Problems with GlobalBioIm.

[BibT_eX]

[DOI]

CoRR, 2018

Phaseless diffraction tomography with regularized beam propagation.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography.

[BibT_eX]

[DOI]

Emmanuel Soubies

Thanh-An Pham

Michael Unser

CoRR, 2017

Thanh-An Pham

Timeline

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