Thanh Nguyen-Duc

Orcid: 0000-0001-5764-0998

According to our database1, Thanh Nguyen-Duc authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Use of a Multiscale Vision Transformer to predict Nursing Activities Score from Low Resolution Thermal Videos in an Intensive Care Unit.
CoRR, 2024

PADMr: Patch-Based Denoising Diffusion Probabilistic Model for Magnetic Resonance Imaging Reconstruction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Adversarial local distribution regularization for knowledge distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Estimation of Clinical Workload and Patient Activity using Deep Learning and Optical Flow.
CoRR, 2022

MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Particle-based Adversarial Local Distribution Regularization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions.
CoRR, 2021

2020
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models.
CoRR, 2020

2019
Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection.
Medical Image Anal., 2019

Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss.
IEEE Trans. Medical Imaging, 2018

Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks.
CoRR, 2017

2016
BFD-NN: best fit decreasing-neural network for online energy-aware virtual machine allocation problems.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016


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