Thanh Nguyen-Duc

18 papers A 2Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
New Multiple Sclerosis Lesion Segmentation via Calibrated Inter-patch Blending.
MICCAI (16)
Jin Ye, Son Duy Dao, Yicheng Wu, Yasmeen M. George, Thanh Nguyen-Duc, Daniel F. Schmidt, Hengcan Shi, Winston Chong, Jianfei Cai
2025 J jnl
QCFace: Image Quality Control for boosting Face Representation & Recognition.
CoRR
Duc-Phuong Doan-Ngo, Thanh-Dang Diep, Thanh Nguyen-Duc, Thanh-Sach Le, Nam Thoai
2024 — conf
PADMr: Patch-Based Denoising Diffusion Probabilistic Model for Magnetic Resonance Imaging Reconstruction.
ISBI
Mengting Huang, Thanh Nguyen-Duc, Martin Soellradl, Daniel F. Schmidt, Roland Bammer
2024 J jnl
Use of a Multiscale Vision Transformer to predict Nursing Activities Score from Low Resolution Thermal Videos in an Intensive Care Unit.
CoRR
Isaac YL Lee, Thanh Nguyen-Duc, Ryo Ueno, Jesse Smith, Peter Y. Chan
2023 A conf
Adversarial local distribution regularization for knowledge distillation.
WACV
Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung
2023 — conf
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation.
MICCAI (1)
Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung
2023 J jnl
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation.
CoRR
Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung
2022 J jnl
Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow.
CoRR
Thanh Nguyen-Duc, Peter Y. Chan, Andrew Tay, David Chen, John Tan Nguyen, Jessica Lyall, Maria De Freitas
2022 — conf
MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models.
ISBI
Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
2022 A conf
Particle-based Adversarial Local Distribution Regularization.
AISTATS
Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Q. Phung
2021 J jnl
Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions.
CoRR
Thanh Nguyen-Duc, Natasha Mulligan, Gurdeep S. Mannu, Joao H. Bettencourt-Silva
2020 J jnl
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models.
CoRR
Thanh Nguyen-Duc, He Zhao, Jianfei Cai, Dinh Phung
2019 J jnl
Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection.
Medical Image Anal.
Thanh Nguyen-Duc, Tran Minh Quan, Won-Ki Jeong
2019 — conf
Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation.
ISBI
Thanh Nguyen-Duc, Inwan Yoo, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Lee, Won-Ki Jeong
2018 J jnl
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss.
IEEE Trans. Medical Imaging
Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong
2018 — conf
Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization.
ISBI
Thanh Nguyen-Duc, Won-Ki Jeong
2017 J jnl
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks.
CoRR
Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong
2016 — conf
BFD-NN: best fit decreasing-neural network for online energy-aware virtual machine allocation problems.
SoICT
Thanh Nguyen-Duc, Nguyen Quang-Hung, Nam Thoai