110 citations · 165 across the 4 of their papers we have counts for
4 papers
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Ngan Le, Trung Le, Kashu Yamazaki +3
Medical image segmentation has played an important role in medical analysis and widely developed for many clinical applications. Deep learning-based approaches have achieved high p…
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
Toan Duc Bui, Manh Nguyen, Ngan Le +1
Image synthesis from corrupted contrasts increases the diversity of diagnostic information available for many neurological diseases. Recently the image-to-image translation has exp…
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
Yue Sun, Kun Gao, Zhengwang Wu +30
To better understand early brain growth patterns in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gr…
3D Densely Convolutional Networks for Volumetric Segmentation
Toan Duc Bui, Jitae Shin, Taesup Moon
In the isointense stage, the accurate volumetric image segmentation is a challenging task due to the low contrast between tissues. In this paper, we propose a novel very deep netwo…