22 citations · 82 across the 18 of their papers we have counts for
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cs.CV2020★ 11 cited
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
Hong-Yu Zhou, Shuang Yu, Cheng Bian +3
In deep learning era, pretrained models play an important role in medical image analysis, in which ImageNet pretraining has been widely adopted as the best way. However, it is unde…
cs.CV2020★ 4 cited
Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning
Jiuwen Zhu, Yuexiang Li, Yifan Hu +1
Deep learning highly relies on the amount of annotated data. However, annotating medical images is extremely laborious and expensive. To this end, self-supervised learning (SSL), a…
cs.CV2019★ 15 cited
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Xinrui Zhuang, Yuexiang Li, Yifan Hu +3
Witnessed the development of deep learning, increasing number of studies try to build computer aided diagnosis systems for 3D volumetric medical data. However, as the annotations o…