most citedImprove bone age assessment by learning from anatomical local regions

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 2 cited

Improve bone age assessment by learning from anatomical local regions

Dong Wang, Kexin Zhang, Jia Ding +1

Skeletal bone age assessment (BAA), as an essential imaging examination, aims at evaluating the biological and structural maturation of human bones. In the clinical practice, Tanne…

cs.CV2020

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection

Dong Wang, Yuan Zhang, Kexin Zhang +1

Applying artificial intelligence techniques in medical imaging is one of the most promising areas in medicine. However, most of the recent success in this area highly relies on lar…

cs.LG2019

Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems

Tianle Cai, Ruiqi Gao, Jikai Hou +5

First-order methods such as stochastic gradient descent (SGD) are currently the standard algorithm for training deep neural networks. Second-order methods, despite their better con…