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Thanh-An Pham
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2020 – today
- 2024
- [c9]Thanh-An Pham, Tien-Anh Nguyen, Quang-Vinh Tran, Van-Dung Hoang:
Improve Breast Cancer Classification Based on Deep Feature Fusion and Hyperparameter Customization Using Transfer Learning. SoMeT 2024: 177-188 - 2023
- [j4]Jonathan Dong, Lorenzo Valzania, Antoine Maillard, Thanh-An Pham, Sylvain Gigan, Michael Unser:
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial. IEEE Signal Process. Mag. 40(1): 45-57 (2023) - [c8]Thanh-An Pham, Van-Dung Hoang:
Combination of Deep Learning and Ambiguity Rejection for Improving Image-Based Disease Diagnosis. ACIIDS (1) 2023: 147-160 - [c7]Van-Dung Hoang, Thanh-An Pham:
Fusion of ViT Technique and Image Filtering in Deep Learning for Plant Pests and Diseases Recognition. ICSSE 2023: 438-443 - [c6]The-Chuong Trinh, Tieu-Long Phan, Van-Thinh To, Gia-Bao Truong, Thanh-An Pham, Hoang-Son Lai Le, Phuoc-Chung van Nguyen, Tuyen Ngoc Truong:
A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models. KSE 2023: 1-6 - [i6]Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser:
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. CoRR abs/2309.16677 (2023) - 2022
- [j3]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. IEEE Trans. Computational Imaging 8: 1237-1249 (2022) - [d1]Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser:
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. Zenodo, 2022 - [i5]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors. CoRR abs/2203.10078 (2022) - 2021
- [j2]Fangshu Yang, Thanh-An Pham, Nathalie Brandenberg, Matthias P. Lütolf, Jianwei Ma, Michael Unser:
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging. IEEE Trans. Image Process. 30: 7025-7037 (2021) - [c5]Quentin Denoyelle, Thanh-An Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser:
Optimal-Transport-Based Metric For SMLM. ISBI 2021: 797-801 - [c4]Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser:
Diffraction Tomography From Single-Molecule Localization Microscopy: Numerical Feasibility. ISBI 2021: 854-857 - 2020
- [j1]Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, JooWon Lim, Demetri Psaltis, Michael Unser:
Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model. IEEE Trans. Computational Imaging 6: 727-738 (2020) - [c3]Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, Demetri Psaltis, Michael Unser:
Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. ISBI 2020: 182-186 - [i4]Fangshu Yang, Thanh-An Pham, Nathalie Brandenberg, Matthias P. Lütolf, Jianwei Ma, Michael Unser:
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging. CoRR abs/2009.11554 (2020) - [i3]Quentin Denoyelle, Thanh-An Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser:
Optimal transport-based metric for SMLM. CoRR abs/2010.13423 (2020)
2010 – 2019
- 2019
- [c2]Thanh-An Pham, Emmanuel Soubies, Daniel Sage, Michael Unser:
Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization Microscopy. ISBI 2019: 321-324 - 2018
- [c1]Thanh-An Pham, Emmanuel Soubies, JooWon Lim, Alexandre Goy, Ferréol Soulez, Demetri Psaltis, Michael Unser:
Phaseless diffraction tomography with regularized beam propagation. ISBI 2018: 1268-1271 - [i2]Emmanuel Soubies, Ferréol Soulez, Michael T. McCann, Thanh-An Pham, Laurène Donati, Thomas Debarre, Daniel Sage, Michael Unser:
Pocket Guide to Solve Inverse Problems with GlobalBioIm. CoRR abs/1812.07908 (2018) - 2017
- [i1]Emmanuel Soubies, Thanh-An Pham, Michael Unser:
Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography. CoRR abs/1708.00745 (2017)
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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