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A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images


Sep 26, 2021
Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao

* 10 pages, 2 figures 

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Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation


Sep 26, 2021
Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao

* 10 pages, 2 figures 

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Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition


Dec 05, 2020
Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao

* This paper has been accepted by ECCV 2020 (Source codes have been released on https://github.com/Yejin0111/ADD-GCN 

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MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response


Oct 08, 2020
Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni

* MICCAI 2020 (Early Accepted; Student Travel Award) 

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EfficientFCN: Holistically-guided Decoding for Semantic Segmentation


Aug 27, 2020
Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li

* Accepted in ECCV 2020 

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Tensor Low-Rank Reconstruction for Semantic Segmentation


Aug 02, 2020
Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu

* ECCV2020. Top-1 performance on PASCAL-VOC12; Source code at https://github.com/CWanli/RecoNet.git 

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Learning to Predict Context-adaptive Convolution for Semantic Segmentation


Apr 17, 2020
Jianbo Liu, Junjun He, Jimmy S. Ren, Yu Qiao, Hongsheng Li


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Prostate Segmentation using 2D Bridged U-net


Oct 16, 2018
Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Xiaoying Tang


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