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Dejiang Xu
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2020 – today
- 2021
- [c6]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Classification with Dynamic Data Augmentation. ICTAI 2021: 1434-1441
2010 – 2019
- 2019
- [c5]Gilbert Lim, Zhan Wei Lim, Dejiang Xu, Daniel Shu Wei Ting, Tien Yin Wong, Mong-Li Lee, Wynne Hsu:
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study. AAAI 2019: 9510-9515 - [c4]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Propagation Mechanism for Deep and Wide Neural Networks. CVPR 2019: 9220-9228 - [c3]Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Patch-Level Regularizer for Convolutional Neural Network. ICIP 2019: 3232-3236 - 2018
- [c2]Valentina Bellemo, Michelle Yuen Ting Yip, Yuchen Xie, Xin Qi Lee, Quang Duc Nguyen, Haslina Hamzah, Jinyi Ho, Gilbert Lim, Dejiang Xu, Mong-Li Lee, Wynne Hsu, Renata Garcia-Franco, Geeta Menon, Ecosse Lamoureux, Ching Yu Cheng, Tien Yin Wong, Daniel Shu Wei Ting:
Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. ACCV Workshops 2018: 309-315 - [c1]Dejiang Xu, Gilbert Lim, Mong-Li Lee, Wynne Hsu:
A Differential-Based Approach for Vessel Type Classification in Retinal Images. ICIP 2018: 2790-2794 - 2013
- [j1]Dejiang Xu, Zelin Shi:
DSIM: A DisSIMilarity-Based Image Clutter Metric for Targeting Performance. IEEE Trans. Image Process. 22(10): 4108-4122 (2013)
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