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

26 citations · 47 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV202026 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.CV20201 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

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.IV201919 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.CV20191 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…