David T. Laidley

Publication Activity (10 Years)

Years Active: 2016-2018
Publications (10 Years): 4

Top Topics

Gaussian Processes

Sparse Regression

Multitask Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Comput. Medical Imaging Graph.

Neuroinformatics

Publications

Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David T. Laidley, Shuo Li
Multitarget Sparse Latent Regression. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Zhongyi Han, Benzheng Wei, Stephanie Leung, Ilanit Ben Nachum, David T. Laidley, Shuo Li
Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning. Neuroinformatics 16 (3-4) (2018)
Yunliang Cai, Mark Landis, David T. Laidley, Anat Kornecki, Andrea Lum, Shuo Li
Multi-modal vertebrae recognition using Transformed Deep Convolution Network. Comput. Medical Imaging Graph. 51 (2016)
Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li
Multi-task Shape Regression for Medical Image Segmentation. MICCAI (3) (2016)