J
Ji Luo
Researcher at Tsinghua University
Publications - 3
Citations - 172
Ji Luo is an academic researcher from Tsinghua University. The author has contributed to research in topics: Supervised learning & Image registration. The author has an hindex of 2, co-authored 2 publications receiving 67 citations.
Papers
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Journal ArticleDOI
Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network
TL;DR: A new unsupervised learning method using convolutional neural networks under an end-to-end framework, Volume Tweening Network (VTN), for 3D medical image registration is proposed, which is 880x faster (or 3.3x faster without GPU acceleration) than traditional optimization-based methods and achieves state-of-the-art performance inmedical image registration.
Journal ArticleDOI
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network.
TL;DR: Wang et al. as discussed by the authors proposed a new unsupervised learning method using convolutional neural networks under an end-to-end framework, Volume Tweening Network (VTN), for 3D medical image registration.
Proceedings ArticleDOI
ST-ICM: spatial-temporal inference calibration model for low cost fine-grained mobile sensing
TL;DR: This work proposes ST-ICM: a Spatial-Temporal Inference Calibration Model based on Gaussian Process Regression, assisting the calibration task by creating more calibration grids in both spatial and temporal dimensions by making use of a hyperparameter, i.e., variance threshold.