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Thanh Nguyen-Duc
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2020 – today
- 2024
- [c8]Mengting Huang, Thanh Nguyen-Duc, Martin Soellradl, Daniel F. Schmidt, Roland Bammer:
PADMr: Patch-Based Denoising Diffusion Probabilistic Model for Magnetic Resonance Imaging Reconstruction. ISBI 2024: 1-5 - [i6]Isaac YL Lee, Thanh Nguyen-Duc, Ryo Ueno, Jesse Smith, Peter Y. Chan:
Use of a Multiscale Vision Transformer to predict Nursing Activities Score from Low Resolution Thermal Videos in an Intensive Care Unit. CoRR abs/2406.04364 (2024) - 2023
- [c7]Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung:
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation. MICCAI (1) 2023: 183-194 - [c6]Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung:
Adversarial local distribution regularization for knowledge distillation. WACV 2023: 4670-4679 - [i5]Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung:
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation. CoRR abs/2310.01176 (2023) - 2022
- [c5]Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Q. Phung:
Particle-based Adversarial Local Distribution Regularization. AISTATS 2022: 5212-5224 - [c4]Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung:
MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models. ISBI 2022: 1-4 - [i4]Thanh Nguyen-Duc, Peter Y. Chan, Andrew Tay, David Chen, John Tan Nguyen, Jessica Lyall, Maria De Freitas:
Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow. CoRR abs/2202.04748 (2022) - 2021
- [i3]Thanh Nguyen-Duc, Natasha Mulligan, Gurdeep S. Mannu, Joao H. Bettencourt-Silva:
Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions. CoRR abs/2103.14161 (2021) - 2020
- [i2]Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung:
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models. CoRR abs/2008.02593 (2020)
2010 – 2019
- 2019
- [j2]Thanh Nguyen-Duc
, Tran Minh Quan, Won-Ki Jeong
:
Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection. Medical Image Anal. 53: 179-196 (2019) - [c3]Thanh Nguyen-Duc, Inwan Yoo, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Lee
, Won-Ki Jeong:
Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. ISBI 2019: 670-673 - 2018
- [j1]Tran Minh Quan
, Thanh Nguyen-Duc
, Won-Ki Jeong
:
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss. IEEE Trans. Medical Imaging 37(6): 1488-1497 (2018) - [c2]Thanh Nguyen-Duc, Won-Ki Jeong:
Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization. ISBI 2018: 332-335 - 2017
- [i1]Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong:
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. CoRR abs/1709.00753 (2017) - 2016
- [c1]Thanh Nguyen-Duc, Nguyen Quang-Hung, Nam Thoai:
BFD-NN: best fit decreasing-neural network for online energy-aware virtual machine allocation problems. SoICT 2016: 243-250
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