Tran Minh Quan
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After receiving a Master’s degree in Electrical Engineering from KAIST, Dr. Tran Minh Quan continued to complete his PhD program in Computer Science at Ulsan National Institute of Science and Technology (Korea). Dr. Quan has published 14 research works in prestigious international scientific journals. His research focuses on the application of computer science in biomedical image processing, improving the quality of magnetic resonance imaging (MRI).
Recent Submissions
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FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics
(2021-05-13)Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in ... -
Neural Radiance Projection
(2022-03-20)The proposed method, Neural Radiance Projection (NeRP), addresses three fundamental challenges in training convolutional neural networks for X-ray image segmentation: handling limited or missing human-annotated datasets, ... -
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
(2021)Instance segmentation, the task of identifying and separating each individual object of interest in the image, is one of the actively studied research topics in computer vision. Although many feed-forward networks produce ...
