Thanh Nguyen-Duc

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Medical Imaging

Intensive Care Unit

Weakly Supervised Learning

Top Venues

Publications

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 (2024)
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 (2023)
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)
Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung
Adversarial local distribution regularization for knowledge distillation. WACV (2023)
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)
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 (2022)
Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Q. Phung
Particle-based Adversarial Local Distribution Regularization. AISTATS (2022)
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 (2021)
Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models. CoRR (2020)
Thanh Nguyen-Duc, Inwan Yoo, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong
Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. ISBI (2019)
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 (2019)
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) (2018)
Thanh Nguyen-Duc, Won-Ki Jeong
Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization. ISBI (2018)
Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. CoRR (2017)
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)