10 citations · 15 across the 3 of their papers we have counts for
3 papers
eess.IV2020★ 1 cited
Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
Yue Yang, Pengtao Xie
While deep learning methods have shown great success in medical image analysis, they require a number of medical images to train. Due to data privacy concerns and unavailability of…
cs.CV2020★ 4 cited
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
Xingyi Yang, Xuehai He, Yuxiao Liang +3
Pretraining has become a standard technique in computer vision and natural language processing, which usually helps to improve performance substantially. Previously, the most domin…
cs.LG2020★ 10 cited
MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
Medical dialogue systems are promising in assisting in telemedicine to increase access to healthcare services, improve the quality of patient care, and reduce medical costs. To fac…