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Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation

Sep 15, 2020
Hongwei Li, Jianguo Zhang, Bjoern Menze

* method description of our solution in M&M segmentation challenge, STACOM 2020 

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TEA: Temporal Excitation and Aggregation for Action Recognition

Apr 03, 2020
Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang

* CVPR2020. The code is available at https://github.com/Phoenix1327/tea-action-recognition 

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e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation

Jan 25, 2020
Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern Menze

* under review and polishment 

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Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation

Aug 28, 2019
Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern Menze

* 9 pages, 4 figures, conference 

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DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis

Apr 29, 2019
Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze


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Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Apr 01, 2019
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adri脿 Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Llad贸, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, S茅bastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Elodie Puybareau, Leticia Rittner, Carole H. Sudre, Sergi Valverde, Ver贸nica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels

* Accepted for publication in IEEE Transactions on Medical Imaging 

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Product Title Refinement via Multi-Modal Generative Adversarial Learning

Nov 11, 2018
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu

* Workshop on Visually Grounded Interaction and Language, NIPS, 2018 

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Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction

Sep 28, 2018
Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu

* The 2018 IEEE International Conference on Data Mining (ICDM'18) 

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Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images

Sep 19, 2018
Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern Menze

* Neuroimage. 2018 Aug 17. pii: S1053-8119(18)30597-4 
* final version in NeuroImage 

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Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

Sep 19, 2018
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu

* Conference version accepted by KDD'18 

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Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation

Aug 29, 2018
Hongwei Li, Jianguo Zhang, Mark Muehlau, Jan Kirschke, Bjoern Menze

* accepted by MICCAI brain lesion workshop 

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Discriminative Learning of Latent Features for Zero-Shot Recognition

Mar 18, 2018
Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang

* CVPR 2018 (Oral) 

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Mixed Supervised Object Detection with Robust Objectness Transfer

Mar 13, 2018
Yan Li, Junge Zhang, Kaiqi Huang, Jianguo Zhang

* IEEE Transactions on Pattern Analysis and Machine Intelligence (2018). Together with Supplementary Materials 

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Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis

Feb 14, 2018
Hongwei Li, Wei-Shi Zheng, Jianguo Zhang

* rejected by MICCAI 

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Beyond triplet loss: a deep quadruplet network for person re-identification

Apr 06, 2017
Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang

* accepted to CVPR2017 

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A Multi-task Deep Network for Person Re-identification

Nov 25, 2016
Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang

* Accepted by AAAI2017 

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