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Residual Contrastive Learning for Joint Demosaicking and Denoising


Jun 18, 2021
Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh


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Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification


May 20, 2021
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric Xing


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Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels


Nov 28, 2020
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing


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Adversarial Domain Adaptation Being Aware of Class Relationships


May 28, 2019
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing


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Toward Understanding the Impact of Staleness in Distributed Machine Learning


Oct 08, 2018
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing

* 19 pages, 12 figures 

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Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images


Jul 29, 2018
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

* Accepted by MICCAI 2018 Workshop on Deep Learning in Medical Image Analysis 

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Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio


Jul 10, 2018
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

* Accepted by MICCAI 2018 

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ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation


Apr 20, 2018
Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing


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SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays


Apr 10, 2017
Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing

* 10 pages, 7 figures, submitted to ICCV 2017 

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