Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography. - Emmanuel Soubies; Thanh-An Pham; Michael Unser (CoRR, 2017)

Phaseless diffraction tomography with regularized beam propagation. - Thanh-An Pham; Emmanuel Soubies; JooWon Lim; Alexandre Goy 001; Ferréol Soulez; Demetri Psaltis; Michael Unser (ISBI, 2018)

Pocket Guide to Solve Inverse Problems with GlobalBioIm. - Emmanuel Soubies; Ferréol Soulez; Michael T. McCann; Thanh-An Pham; Laurène Donati; Thomas Debarre; Daniel Sage; Michael Unser (CoRR, 2018)

Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization Microscopy. - Thanh-An Pham; Emmanuel Soubies; Daniel Sage; Michael Unser (ISBI, 2019)

Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. - Thanh-An Pham; Emmanuel Soubies; Ahmed B. Ayoub; Demetri Psaltis; Michael Unser (ISBI, 2020)

Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model. - Thanh-An Pham; Emmanuel Soubies; Ahmed B. Ayoub; JooWon Lim; Demetri Psaltis; Michael Unser (IEEE Trans. Computational Imaging, 2020)

Optimal-Transport-Based Metric For SMLM. - Quentin Denoyelle; Thanh-An Pham; Pol del Aguila Pla; Daniel Sage; Michael Unser (ISBI, 2021)

Diffraction Tomography From Single-Molecule Localization Microscopy: Numerical Feasibility. - Thanh-An Pham; Emmanuel Soubies; Ferréol Soulez; Michael Unser (ISBI, 2021)

Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging. - Fangshu Yang; Thanh-An Pham; Nathalie Brandenberg; Matthias P. Lütolf; Jianwei Ma; Michael Unser (IEEE Trans. Image Process., 2021)

Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. - Pakshal Bohra; Thanh-An Pham; Jonathan Dong; Michael Unser (IEEE Trans. Computational Imaging, 2022)

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. - Yan Liu 059; Jonathan Dong; Thanh-An Pham; François Marelli; Michael Unser (Zenodo, 2022)

Combination of Deep Learning and Ambiguity Rejection for Improving Image-Based Disease Diagnosis. - Thanh-An Pham; Van-Dung Hoang (ACIIDS (1), 2023)

Fusion of ViT Technique and Image Filtering in Deep Learning for Plant Pests and Diseases Recognition. - Van-Dung Hoang; Thanh-An Pham (ICSSE, 2023)

A Graph Neural Network Model Enables Accurate Prediction of Anaplastic Lymphoma Kinase Inhibitors Compared to Other Machine Learning Models. - 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 (KSE, 2023)

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. - Yan Liu 059; Jonathan Dong; Thanh-An Pham; François Marelli; Michael Unser (CoRR, 2023)

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial. - Jonathan Dong; Lorenzo Valzania; Antoine Maillard; Thanh-An Pham; Sylvain Gigan; Michael Unser (IEEE Signal Process. Mag., 2023)

Improve Breast Cancer Classification Based on Deep Feature Fusion and Hyperparameter Customization Using Transfer Learning. - Thanh-An Pham; Tien-Anh Nguyen; Quang-Vinh Tran; Van-Dung Hoang (SoMeT, 2024)

Chest X-ray image classification using transfer learning and hyperparameter customization for lung disease diagnosis. - Thanh-An Pham; Van-Dung Hoang (J. Inf. Telecommun., 2024)

CerMixer: An Efficient Model for Cervical Cancer Classification Based on Patching and Multi-scale Depthwise Convolutional Fusion. - Thanh-An Pham; Van-Dung Hoang; Doan-Hieu Tran; Tuong-Lan Le Van (ACIIDS (1), 2025)