BFD-NN: best fit decreasing-neural network for online energy-aware virtual machine allocation problems. - Thanh Nguyen-Duc; Nguyen Quang-Hung; Nam Thoai (SoICT, 2016)

Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. - Tran Minh Quan; Thanh Nguyen-Duc; Won-Ki Jeong (CoRR, 2017)

Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization. - Thanh Nguyen-Duc; Won-Ki Jeong (ISBI, 2018)

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss. - Tran Minh Quan; Thanh Nguyen-Duc; Won-Ki Jeong (IEEE Trans. Medical Imaging, 2018)

Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. - Thanh Nguyen-Duc; Inwan Yoo; Logan A. Thomas; Aaron T. Kuan; Wei-Chung Lee 001; Won-Ki Jeong (ISBI, 2019)

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection. - Thanh Nguyen-Duc; Tran Minh Quan; Won-Ki Jeong (Medical Image Anal., 2019)

MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models. - Thanh Nguyen-Duc; He Zhao 001; Jianfei Cai 001; Dinh Phung 001 (CoRR, 2020)

Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions. - Thanh Nguyen-Duc; Natasha Mulligan; Gurdeep S. Mannu; Joao H. Bettencourt-Silva (CoRR, 2021)

Particle-based Adversarial Local Distribution Regularization. - Thanh Nguyen-Duc; Trung Le 001; He Zhao 001; Jianfei Cai 001; Dinh Q. Phung (AISTATS, 2022)

MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models. - Thanh Nguyen-Duc; He Zhao 001; Jianfei Cai 001; Dinh Phung 001 (ISBI, 2022)

Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow. - Thanh Nguyen-Duc; Peter Y. Chan; Andrew Tay; David Chen; John Tan Nguyen; Jessica Lyall; Maria De Freitas (CoRR, 2022)

Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation. - Thanh Nguyen-Duc; Trung Le 001; Roland Bammer; He Zhao 001; Jianfei Cai 001; Dinh Q. Phung (MICCAI (1), 2023)

Adversarial local distribution regularization for knowledge distillation. - Thanh Nguyen-Duc; Trung Le 001; He Zhao 001; Jianfei Cai 001; Dinh Phung 001 (WACV, 2023)

PADMr: Patch-Based Denoising Diffusion Probabilistic Model for Magnetic Resonance Imaging Reconstruction. - Mengting Huang; Thanh Nguyen-Duc; Martin Soellradl; Daniel F. Schmidt; Roland Bammer (ISBI, 2024)

Use of a Multiscale Vision Transformer to predict Nursing Activities Score from Low Resolution Thermal Videos in an Intensive Care Unit. - Isaac YL Lee; Thanh Nguyen-Duc; Ryo Ueno; Jesse Smith; Peter Y. Chan (CoRR, 2024)