Tran Minh Quan

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 24

Top Topics

Electron Microscopy

Compressed Sensing

Image Classification

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Pham Ngoc Huy, Tran Minh Quan
Denoising Diffusion Medical Models. CoRR (2023)
Pham Ngoc Huy, Tran Minh Quan
Denoising Diffusion Medical Models. ISBI (2023)
Guowei Chen, Xinyang Yu, Yue Wang, Tran Minh Quan, Naofumi Matsuyama, Takuya Tsujimura, Kiichi Niitsu
Ambient Light-Driven Solar Cell-Powered Biofuel Cell-Input Biosensing System with LED Driving for Stand-Alone RF-Less Continuous Glucose Monitoring Contact Lens. ASP-DAC (2022)
Pham Ngoc Huy, Tran Minh Quan
Neural Radiance Projection. CoRR (2022)
Pham Ngoc Huy, Tran Minh Quan
Neural Radiance Projection. ISBI (2022)
Guowei Chen, Xinyang Yu, Yue Wang, Tran Minh Quan, Naofumi Matsuyama, Takuya Tsujimura, Md. Zahidul Islam, Kiichi Niitsu
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. ESSCIRC (2021)
Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation. CVPR (2021)
Tran Minh Quan, David Grant Colburn Hildebrand, Won-Ki Jeong
FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics. Frontiers Comput. Sci. 3 (2021)
Tran Minh Quan, Huynh Minh Thanh, Ta Duc Huy, Nguyen Do Trung Chanh, Nguyen Thi Phuong Anh, Phan Hoan Vu, Nguyen Hoang Nam, Tran Quy Tuong, Vu Minh Dien, Bui Van Giang, Bui Huu Trung, Steven Quoc Hung Truong
XPGAN: X-Ray Projected Generative Adversarial Network For Improving Covid-19 Image Classification. ISBI (2021)
Junyoung Choi, David Grant Colburn Hildebrand, Jungmin Moon, Tran Minh Quan, Tuan Tran Anh, Sungahn Ko, Won-Ki Jeong
ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images. IEEE Access 9 (2021)
Guowei Chen, Xinyang Yu, Yue Wang, Tran Minh Quan, Naofumi Matsuyama, Takuya Tsujimura, Md. Zahidul Islam, Kiichi Niitsu
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. ESSDERC (2021)
Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong
Reinforced Coloring for End-to-End Instance Segmentation. CoRR (2020)
Tran Minh Quan, David Grant Colburn Hildebrand, Kanggeun Lee, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong
Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data. ICCV Workshops (2019)
Tran Minh Quan, Takuyoshi Doike, Cong Dang Bui, Kenya Hayashi, Shigeki Arata, Atsuki Kobayashi, Md. Zahidul Islam, Kiichi Niitsu
AI-Based Edge-Intelligent Hypoglycemia Prediction System Using Alternate Learning and Inference Method for Blood Glucose Level Data with Low-periodicity. AICAS (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)
Atsuki Kobayashi, Kenya Hayashi, Shigeki Arata, Shunya Murakami, Cong Dang Bui, Tran Minh Quan, Md. Zahidul Islam, Kiichi Niitsu
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. ICECS (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)
Tran Minh Quan, Junyoung Choi, Haejin Jeong, Won-Ki Jeong
An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
David Grant Colburn Hildebrand, Marcelo Cicconet, Russel Miguel Torres, Woohyuk Choi, Tran Minh Quan, Jungmin Moon, Arthur W. Wetzel, Andrew Scott Champion, Brett J. Graham, Owen Randlett, George S. Plummer, Ruben Portugues, Isaac Henry Bianco, Stephan Saalfeld, Alexander D. Baden, Kunal Lillaney, Randal C. Burns, Joshua T. Vogelstein, Alexander Schier, Wei-Chung Allen Lee, Won-Ki Jeong, Jeff William Lichtman, Florian Engert
Whole-brain serial-section electron microscopy in larval zebrafish. Nat. 545 (7654) (2017)
Tran Minh Quan, Thanh Nguyen-Duc, Won-Ki Jeong
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. CoRR (2017)
Tran Minh Quan, David G. C. Hildebrand, Won-Ki Jeong
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics. CoRR (2016)
Tran Minh Quan, Won-Ki Jeong
A Fast Discrete Wavelet Transform Using Hybrid Parallelism on GPUs. IEEE Trans. Parallel Distributed Syst. 27 (11) (2016)
Tran Minh Quan, Won-Ki Jeong
Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding. ISBI (2016)
Tran Minh Quan, Won-Ki Jeong
Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding. MICCAI (3) (2016)
Tran Minh Quan, Sohyun Han, Hyungjoon Cho, Won-Ki Jeong
Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI. MICCAI (3) (2015)
Tran Minh Quan, Won-Ki Jeong
A fast mixed-band lifting wavelet transform on the GPU. ICIP (2014)
Hyungsuk Choi, Woohyuk Choi, Tran Minh Quan, David G. C. Hildebrand, Hanspeter Pfister, Won-Ki Jeong
Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)