Tran Minh Quan
Orcid: 0000-0001-7374-9168
According to our database1,
Tran Minh Quan
authored at least 23 papers
between 2014 and 2023.
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Bibliography
2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
A 0.5 mm<sup>2</sup> Ambient Light-Driven Solar Cell-Powered Biofuel Cell-Input Biosensing System with LED Driving for Stand-Alone RF-Less Continuous Glucose Monitoring Contact Lens.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
2021
FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics.
Frontiers Comput. Sci., 2021
ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images.
IEEE Access, 2021
XPGAN: X-Ray Projected Generative Adversarial Network For Improving Covid-19 Image Classification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A 0.5 mm<sup>2</sup> 0.31 V/0.39 V 28 nW/144 nW 65 nm CMOS Solar Cell-Powered Biofuel Cell-Input Biosensing System with PIM/PDM LED Driving for Stand-Alone RF-Less Continuous Glucose Monitoring Contact Lens.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
2019
Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection.
Medical Image Anal., 2019
A Solar-Cell-Assisted, 99.66% Biofuel Cell Area Reduced, Biofuel-Cell-Powered Wireless Biosensing System in 65-nm CMOS for Continuous Glucose Monitoring Contact Lenses.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
AI-Based Edge-Intelligent Hypoglycemia Prediction System Using Alternate Learning and Inference Method for Blood Glucose Level Data with Low-periodicity.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019
2018
An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding.
IEEE Trans. Vis. Comput. Graph., 2018
Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss.
IEEE Trans. Medical Imaging, 2018
2017
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks.
CoRR, 2017
2016
IEEE Trans. Parallel Distributed Syst., 2016
Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2014
Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems.
IEEE Trans. Vis. Comput. Graph., 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014