Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessments

Related articles

1. Accuracy and Reliability of 3D Cephalometric Landmark Detection with Deep Learning

   This article has 9 authors:

   1. Boyan Liu
   2. Chang Liu#
   3. Yutao Xiong
   4. Hailin Zhu
   5. Wei Zeng
   6. Jixiang Guo
   7. Wei Liu
   8. Wei Tang
   9. Jinglong Chen

2. Generating Cervical Anatomy Labels using a Deep Ensemble Multi-Class Segmentation Model Applied to Transvaginal Ultrasound Images

   This article has 10 authors:

   1. Alicia Dagle
   2. Yucheng Liu
   3. Madeline Skeel
   4. Gabriel G Trigo
   5. David Crosby
   6. Helen Feltovich
   7. Michael House
   8. Qi Yan
   9. Kristin M Myers
   10. Sachin Jambawalikar

3. Deep Learning-Assisted Screening and Diagnosis of Scoliosis: Segmentation of Bare Back-Images via an Attention-Enhanced Convolutional Neural Network

   This article has 7 authors:

   1. Xingyu Duan
   2. Xiaojun Ma
   3. Mengqi Zhu
   4. Linan Wang
   5. Dingqi You
   6. Lili Deng
   7. Ningkui Niu