84 citations · 109 across the 4 of their papers we have counts for
4 papers
Neural Bootstrapper
Minsuk Shin, Hyungjoo Cho, Hyun-seok Min +1
Bootstrapping has been a primary tool for ensemble and uncertainty quantification in machine learning and statistics. However, due to its nature of multiple training and resampling…
DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging using Deep Learning
DongHun Ryu, Dongmin Ryu, YoonSeok Baek +8
Optical diffraction tomography measures the three-dimensional refractive index map of a specimen and visualizes biochemical phenomena at the nanoscale in a non-destructive manner.…
Scalable Neural Architecture Search for 3D Medical Image Segmentation
Sungwoong Kim, Ildoo Kim, Sungbin Lim +5
In this paper, a neural architecture search (NAS) framework is proposed for 3D medical image segmentation, to automatically optimize a neural architecture from a large design space…
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo, Hyungjoo Cho, Sang Yun Lee +4
Recent advances in quantitative phase imaging (QPI) and artificial intelligence (AI) have opened up the possibility of an exciting frontier. The fast and label-free nature of QPI e…