29 citations · 36 across the 9 of their papers we have counts for
9 papers
X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
Yuan Liang, Weinan Song, Jiawei Yang +3
3D teeth reconstruction from X-ray is important for dental diagnosis and many clinical operations. However, no existing work has explored the reconstruction of teeth for a whole ca…
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Yuan Liang, Weinan Song, Jiawei Yang +3
Convolutional networks (ConvNets) have achieved promising accuracy for various anatomical segmentation tasks. Despite the success, these methods can be sensitive to data appearance…
OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray
Yuan Liang, Liang Qiu, Tiancheng Lu +8
Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear and anxiety. Due to the gap of expertise between patients and den…
Exploring Instance-Level Uncertainty for Medical Detection
Jiawei Yang, Yuan Liang, Yao Zhang +3
The ability of deep learning to predict with uncertainty is recognized as key for its adoption in clinical routines. Moreover, performance gain has been enabled by modelling uncert…
Structured Attention for Unsupervised Dialogue Structure Induction
Liang Qiu, Yizhou Zhao, Weiyan Shi +5
Inducing a meaningful structural representation from one or a set of dialogues is a crucial but challenging task in computational linguistics. Advancement made in this area is crit…
FLBench: A Benchmark Suite for Federated Learning
Yuan Liang, Yange Guo, Yanxia Gong +3
Federated learning is a new machine learning paradigm. The goal is to build a machine learning model from the data sets distributed on multiple devices so-called an isolated data i…
T-Net: Learning Feature Representation with Task-specific Supervision for Biomedical Image Analysis
Weinan Song, Yuan Liang, Jiawei Yang +2
The encoder-decoder network is widely used to learn deep feature representations from pixel-wise annotations in biomedical image analysis. Under this structure, the performance pro…
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Yuan Liang, Hsuan-Wei Fan, Zhujun Fang +7
Due to a lack of medical resources or oral health awareness, oral diseases are often left unexamined and untreated, affecting a large population worldwide. With the advent of low-c…
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion
Yuan Liang, Weinan Song, J. P. Dym +2
Label propagation is a popular technique for anatomical segmentation. In this work, we propose a novel deep framework for label propagation based on non-local label fusion. Our fra…