A fast mixed-band lifting wavelet transform on the GPU. - Tran Minh Quan; Won-Ki Jeong (ICIP, 2014)

Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems. - Hyungsuk Choi; Woohyuk Choi; Tran Minh Quan; David G. C. Hildebrand; Hanspeter Pfister; Won-Ki Jeong (IEEE Trans. Vis. Comput. Graph., 2014)

Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI. - Tran Minh Quan; Sohyun Han; Hyungjoon Cho; Won-Ki Jeong (MICCAI (3), 2015)

Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding. - Tran Minh Quan; Won-Ki Jeong (ISBI, 2016)

Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding. - Tran Minh Quan; Won-Ki Jeong (MICCAI (3), 2016)

A Fast Discrete Wavelet Transform Using Hybrid Parallelism on GPUs. - Tran Minh Quan; Won-Ki Jeong (IEEE Trans. Parallel Distributed Syst., 2016)

Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. - Tran Minh Quan; Thanh Nguyen-Duc; Won-Ki Jeong (CoRR, 2017)

Whole-brain serial-section electron microscopy in larval zebrafish. - 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; et al. (Nat., 2017)

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss. - Tran Minh Quan; Thanh Nguyen-Duc; Won-Ki Jeong (IEEE Trans. Medical Imaging, 2018)

An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding. - Tran Minh Quan; Junyoung Choi; Haejin Jeong; Won-Ki Jeong (IEEE Trans. Vis. Comput. Graph., 2018)

AI-Based Edge-Intelligent Hypoglycemia Prediction System Using Alternate Learning and Inference Method for Blood Glucose Level Data with Low-periodicity. - Tran Minh Quan; Takuyoshi Doike; Cong Dang Bui; Kenya Hayashi; Shigeki Arata; Atsuki Kobayashi; Md. Zahidul Islam; Kiichi Niitsu (AICAS, 2019)

Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data. - Tran Minh Quan; David Grant Colburn Hildebrand; Kanggeun Lee; Logan A. Thomas; Aaron T. Kuan; Wei-Chung Allen Lee 001; Won-Ki Jeong (ICCV Workshops, 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. - Atsuki Kobayashi; Kenya Hayashi; Shigeki Arata; Shunya Murakami; Cong Dang Bui; Tran Minh Quan; Md. Zahidul Islam; Kiichi Niitsu (ICECS, 2019)

Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection. - Thanh Nguyen-Duc; Tran Minh Quan; Won-Ki Jeong (Medical Image Anal., 2019)

Reinforced Coloring for End-to-End Instance Segmentation. - Tuan Tran Anh; Khoa Nguyen-Tuan; Tran Minh Quan; Won-Ki Jeong (CoRR, 2020)

ColorRL: Reinforced Coloring for End-to-End Instance Segmentation. - Tuan Tran Anh; Khoa Nguyen-Tuan; Tran Minh Quan; Won-Ki Jeong (CVPR, 2021)

A 0.5 mm2 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. - Guowei Chen; Xinyang Yu; Yue Wang; Tran Minh Quan; Naofumi Matsuyama; Takuya Tsujimura; Md. Zahidul Islam; Kiichi Niitsu (ESSDERC, 2021)

XPGAN: X-Ray Projected Generative Adversarial Network For Improving Covid-19 Image Classification. - 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 (ISBI, 2021)

ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images. - Junyoung Choi; David Grant Colburn Hildebrand; Jungmin Moon; Tran Minh Quan; Tuan Tran Anh; Sungahn Ko; Won-Ki Jeong (IEEE Access, 2021)

FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics. - Tran Minh Quan; David Grant Colburn Hildebrand; Won-Ki Jeong (Frontiers Comput. Sci., 2021)

A 0.5 mm2 Ambient Light-Driven Solar Cell-Powered Biofuel Cell-Input Biosensing System with LED Driving for Stand-Alone RF-Less Continuous Glucose Monitoring Contact Lens. - Guowei Chen; Xinyang Yu; Yue Wang; Tran Minh Quan; Naofumi Matsuyama; Takuya Tsujimura; Kiichi Niitsu (ASP-DAC, 2022)

Neural Radiance Projection. - Pham Ngoc Huy; Tran Minh Quan (ISBI, 2022)

Denoising Diffusion Medical Models. - Pham Ngoc Huy; Tran Minh Quan (ISBI, 2023)