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Gavin Weiguang Ding
Gavin Weiguang 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
2572016
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), 1-13, 2018
2232018
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
GW Ding, Y Sharma, KYC Lui, R Huang
International Conference on Learning Representations, 2020
147*2020
AdverTorch v0. 1: An adversarial robustness toolbox based on pytorch
GW Ding, L Wang, X Jin
arXiv preprint arXiv:1902.07623, 2019
1352019
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
99*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
752019
On the effectiveness of low frequency perturbations
Y Sharma, GW Ding, M Brubaker
arXiv preprint arXiv:1903.00073, 2019
612019
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), 1-10, 2016
552016
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
542014
Theano-based large-scale visual recognition with multiple gpus
W Ding, R Wang, F Mao, G Taylor
arXiv preprint arXiv:1412.2302, 2014
492014
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
402019
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
332017
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
292013
Adversarial robustness of pruned neural networks
L Wang, GW Ding, R Huang, Y Cao, YC Lui
212018
Improving GAN training via binarized representation entropy (BRE) regularization
Y Cao, GW Ding, KYC Lui, R Huang
International Conference on Learning Representations, 2018
182018
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
182018
" Mental Rotation" by Optimizing Transforming Distance
W Ding, GW Taylor
arXiv preprint arXiv:1406.3010, 2014
102014
Neural network regularization via robust weight factorization
J Rudy, W Ding, DJ Im, GW Taylor
arXiv preprint arXiv:1412.6630, 2014
92014
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
82020
Cascade dual-branch deep neural networks for retinal layer and fluid segmentation of optical coherence tomography incorporating relative positional map
D Ma, D Lu, M Heisler, S Dabiri, S Lee, GW Ding, MV Sarunic, MF Beg
Medical Imaging with Deep Learning, 493-502, 2020
82020
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