Simon Yu

most citedUncertainty-Aware Self-supervised Neural Network for Liver

T_{1 ρ}

Mapping with Relaxation Constraint

8 citations · 12 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.TO2022★ 8 cited

Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1 ρ}$ Mapping with Relaxation Constraint

Chaoxing Huang, Yurui Qian, Simon Chun Ho Yu +6

$T_{1 ρ}$ mapping is a promising quantitative MRI technique for the non-invasive assessment of tissue properties. Learning-based approaches can map $T_{1 ρ}$ from a reduced number of…

cs.CV2021★ 4 cited

LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving

Jiyang Chen, Simon Yu, Rohan Tabish +4

Object detection in state-of-the-art Autonomous Vehicles (AV) framework relies heavily on deep neural networks. Typically, these networks perform object detection uniformly on the…

cs.CV2021

Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning

Jin Hong, Simon Chun-Ho Yu, Weitian Chen

Liver segmentation on images acquired using computed tomography (CT) and magnetic resonance imaging (MRI) plays an important role in clinical management of liver diseases. Compared…

Uncertainty-Aware Self-supervised Neural Network for Liver T1ρ​ Mapping with Relaxation Constraint

LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving

Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning

Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1 ρ}$ Mapping with Relaxation Constraint