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Gavin Weiguang Ding
Gavin Weiguang Ding
Other namesWeiguang Ding, Gavin Ding
Ecopia AI
Verified email at uoguelph.ca - Homepage
Title
Cited by
Cited by
Year
Automatic moth detection from trap images for pest management
W Ding, G Taylor
Computers and Electronics in Agriculture 123, 17-28, 2016
3342016
Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer’s disease using structural MR and FDG-PET images
D Lu, K Popuri, GW Ding, R Balachandar, MF Beg
Scientific reports 8 (1), 5697, 2018
3142018
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
GW Ding, Y Sharma, KYC Lui, R Huang
International Conference on Learning Representations, 2020
2502020
AdverTorch v0. 1: An adversarial robustness toolbox based on pytorch
GW Ding, L Wang, X Jin
arXiv preprint arXiv:1902.07623, 2019
1872019
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease
D Lu, K Popuri, GW Ding, R Balachandar, MF Beg, ...
Medical image analysis 46, 26-34, 2018
145*2018
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network
D Lu, M Heisler, S Lee, GW Ding, E Navajas, MV Sarunic, MF Beg
Medical image analysis 54, 100-110, 2019
1212019
On the effectiveness of low frequency perturbations
Y Sharma, GW Ding, M Brubaker
arXiv preprint arXiv:1903.00073, 2019
872019
Lens-based wavefront sensorless adaptive optics swept source OCT
Y Jian, S Lee, MJ Ju, M Heisler, W Ding, RJ Zawadzki, S Bonora, ...
Scientific reports 6 (1), 27620, 2016
582016
Optical mapping of the electrical activity of isolated adult zebrafish hearts: acute effects of temperature
E Lin, A Ribeiro, W Ding, L Hove-Madsen, MV Sarunic, MF Beg, ...
American Journal of Physiology-Regulatory, Integrative and Comparative …, 2014
552014
On the Sensitivity of Adversarial Robustness to Input Data Distributions
GW Ding, KYC Lui, X Jin, L Wang, R Huang
International Conference on Learning Representations, 2019
532019
Theano-based large-scale visual recognition with multiple gpus
W Ding, R Wang, F Mao, G Taylor
arXiv preprint arXiv:1412.2302, 2014
512014
Retinal fluid segmentation and detection in optical coherence tomography images using fully convolutional neural network
D Lu, M Heisler, S Lee, G Ding, MV Sarunic, MF Beg
arXiv preprint arXiv:1710.04778, 2017
422017
Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images
W Ding, M Young, S Bourgault, S Lee, DA Albiani, AW Kirker, ...
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
332013
Adversarial robustness of pruned neural networks
L Wang, GW Ding, R Huang, Y Cao, YC Lui
252018
Alzheimer’s disease neuroimaging I. Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer’s disease using structural MR and FDG-PET images
D Lu, K Popuri, GW Ding, R Balachandar, MF Beg
Sci Rep 8 (1), 5697, 2018
252018
Improving GAN training via binarized representation entropy (BRE) regularization
Y Cao, GW Ding, KYC Lui, R Huang
International Conference on Learning Representations, 2018
172018
LF-UNet–a novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images
D Ma, D Lu, S Chen, M Heisler, S Dabiri, S Lee, H Lee, GW Ding, ...
Computerized Medical Imaging and Graphics 94, 101988, 2021
152021
Cdt: Cascading decision trees for explainable reinforcement learning
Z Ding, P Hernandez-Leal, GW Ding, C Li, R Huang
arXiv preprint arXiv:2011.07553, 2020
142020
System and method for improved neural network training
CAO Yanshuai, YC Lui, W Ding, R Huang
US Patent App. 16/172,451, 2019
132019
" Mental Rotation" by Optimizing Transforming Distance
W Ding, GW Taylor
arXiv preprint arXiv:1406.3010, 2014
102014
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Articles 1–20