David T. Laidley

According to our database, David T. Laidley authored at least 4 papers between 2016 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Multitarget Sparse Latent Regression.

Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David T. Laidley, Shuo Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.

Zhongyi Han, Benzheng Wei, Stephanie Leung, Ilanit Ben Nachum, David T. Laidley, Shuo Li

Neuroinformatics, 2018

2016

Multi-modal vertebrae recognition using Transformed Deep Convolution Network.

Yunliang Cai, Mark Landis, David T. Laidley, Anat Kornecki, Andrea Lum, Shuo Li

Comput. Medical Imaging Graph., 2016

Multi-task Shape Regression for Medical Image Segmentation.

Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016