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Gavin Weiguang Ding
Gavin Weiguang Ding
Sonstige NamenWeiguang Ding, Gavin Ding
Ecopia AI
Bestätigte E-Mail-Adresse bei uoguelph.ca - Startseite
Titel
Zitiert von
Zitiert von
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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
4232018
Automatic moth detection from trap images for pest management
W Ding, G Taylor
Computers and Electronics in Agriculture 123, 17-28, 2016
4172016
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
GW Ding, Y Sharma, KYC Lui, R Huang
International Conference on Learning Representations, 2020
3512020
AdverTorch v0. 1: An adversarial robustness toolbox based on pytorch
GW Ding, L Wang, X Jin
arXiv preprint arXiv:1902.07623, 2019
2362019
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
1832018
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
1602019
On the effectiveness of low frequency perturbations
Y Sharma, GW Ding, M Brubaker
arXiv preprint arXiv:1903.00073, 2019
1302019
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
712019
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
652016
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
592014
Theano-based large-scale visual recognition with multiple gpus
W Ding, R Wang, F Mao, G Taylor
arXiv preprint arXiv:1412.2302, 2014
522014
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
492017
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
382020
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
352013
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
342018
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
302021
Adversarial robustness of pruned neural networks
L Wang, GW Ding, R Huang, Y Cao, YC Lui
302018
Robust pruned neural networks via adversarial training
L Wang, W Ding, R Huang, CAO Yanshuai, YC Lui
US Patent 11,562,244, 2023
282023
Improving GAN training via binarized representation entropy (BRE) regularization
Y Cao, GW Ding, KYC Lui, R Huang
International Conference on Learning Representations, 2018
172018
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
152020
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