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2020 – today
- 2024
[i6]Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li:
Teach CLIP to Develop a Number Sense for Ordinal Regression. CoRR abs/2408.03574 (2024)- 2023
- [j2]Weihang Dai
, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng:
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos. IEEE Trans. Medical Imaging 42(5): 1446-1461 (2023) - [c5]Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng:
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. AAAI 2023: 7304-7313 - [c4]Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng:
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. MICCAI (7) 2023: 153-162 - [c3]Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li:
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images. MICCAI (7) 2023: 639-648 - [c2]Weihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li:
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation. NeurIPS 2023 - [i5]Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng:
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. CoRR abs/2302.07579 (2023) - [i4]Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li:
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images. CoRR abs/2308.00291 (2023) - [i3]Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng:
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. CoRR abs/2308.06933 (2023) - 2022
- [j1]Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng:
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. IEEE Trans. Medical Imaging 41(5): 1255-1268 (2022) - [i2]Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng:
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos. CoRR abs/2210.11291 (2022) - 2021
- [i1]Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng:
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. CoRR abs/2112.11700 (2021)
2010 – 2019
- 2014
- [c1]Zitong Yu, Lianshi Lin, Bingo Wing-Kuen Ling, Charlotte Yuk-Fan Ho, Chunmei Qing, Hailiang Xu, Weihang Dai, Yuming Liang, Jiameng Chen, Qingyun Dai:
Camera identification for very low bit rate time varying quantization noise videos. CSNDSP 2014: 208-212
Coauthor Index
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