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Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer


Dec 29, 2020
Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He


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Double-Uncertainty Weighted Method for Semi-supervised Learning


Oct 19, 2020
Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

* accepted by MICCAI 2020 

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Modality-Pairing Learning for Brain Tumor Segmentation


Oct 19, 2020
Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He

* 10 pages 

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Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation


Jun 23, 2020
Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

* 9 pages 

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The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge


Dec 02, 2019
Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos

* 18 pages, 7 figures 

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Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database


Nov 01, 2019
Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He


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Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes


Oct 05, 2019
Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong


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Dermoscopic Image Analysis for ISIC Challenge 2018


Jul 24, 2018
Jinyi Zou, Xiao Ma, Cheng Zhong, Yao Zhang


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