Gavin Weiguang Ding

Orcid: 0000-0002-5856-6811

According to our database1, Gavin Weiguang Ding authored at least 20 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.
Comput. Medical Imaging Graph., 2021

2020
CDT: Cascading Decision Trees for Explainable Reinforcement Learning.
CoRR, 2020

Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

MMA Training: Direct Input Space Margin Maximization through Adversarial Training.
Proceedings of the 8th International Conference on Learning Representations, 2020

On Minimax Optimality of GANs for Robust Mean Estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
Medical Image Anal., 2019

Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.
CoRR, 2019

advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch.
CoRR, 2019

On the Effectiveness of Low Frequency Perturbations.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Sensitivity of Adversarial Robustness to Input Data Distributions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.
Medical Image Anal., 2018

Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training.
CoRR, 2018

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images.
CoRR, 2017

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network.
CoRR, 2017

Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2014
Automatic Cycle Averaging for Denoising Approximately Periodic Spatiotemporal Signals.
IEEE Trans. Medical Imaging, 2014

2013
Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

On identification of sinoatrial node in zebrafish heart based on functional time series from optical mapping.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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