activity
20172020
most citedRelational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers

26 citations · 51 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2020★ 26 cited

Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers

Jiancheng Yang, Haoran Deng, Xiaoyang Huang +2

Diagnosis and treatment of multiple pulmonary nodules are clinically important but challenging. Prior studies on nodule characterization use solitary-nodule approaches on multiple…

cs.CV2020★ 1 cited

Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection

Tiancheng Lin, Yuanfan Guo, Canqian Yang +2

Early diagnosis of signet ring cell carcinoma dramatically improves the survival rate of patients. Due to lack of public dataset and expert-level annotations, automatic detection o…

cs.CV2019★ 3 cited

Quaternion Product Units for Deep Learning on 3D Rotation Groups

Xuan Zhang, Shaofei Qin, Yi Xu +1

We propose a novel quaternion product unit (QPU) to represent data on 3D rotation groups. The QPU leverages quaternion algebra and the law of 3D rotation group, representing 3D rot…

eess.IV2019★ 19 cited

Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis

Jiancheng Yang, Rongyao Fang, Bingbing Ni +3

Radiomics analysis has achieved great success in recent years. However, conventional Radiomics analysis suffers from insufficiently expressive hand-crafted features. Recently, emer…

cs.CV2019★ 1 cited

Quaternion Convolutional Neural Networks

Xuanyu Zhu, Yi Xu, Hongteng Xu +1

Neural networks in the real domain have been studied for a long time and achieved promising results in many vision tasks for recent years. However, the extensions of the neural net…

cs.CV2017★ 1 cited

Flexible Network Binarization with Layer-wise Priority

Lixue Zhuang, Yi Xu, Bingbing Ni +1

How to effectively approximate real-valued parameters with binary codes plays a central role in neural network binarization. In this work, we reveal an important fact that binarizi…