Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Privacy Threats Against Federated Matrix Factorization

Jul 03, 2020
Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang

* 6 pages, 2 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 

  Access Paper or Ask Questions

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

Jun 15, 2020
Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

* 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 

  Access Paper or Ask Questions

Federated Transfer Learning for EEG Signal Classification

Apr 26, 2020
Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan

* 6 pages, 2 figures, Accepted for IEEE Engineering in Medicine and Biology Society (EMBC) 2020 

  Access Paper or Ask Questions

Volumetric Attention for 3D Medical Image Segmentation and Detection

Apr 04, 2020
Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos

* In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 175-184. Springer, Cham, 2019 
* Accepted by MICCAI 2019 

  Access Paper or Ask Questions

Validating uncertainty in medical image translation

Feb 11, 2020
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass

* IEEE ISBI 2020 

  Access Paper or Ask Questions

Finding novelty with uncertainty

Feb 11, 2020
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass

* SPIE Medical Imaging 2020 

  Access Paper or Ask Questions

Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

Feb 10, 2020
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* SPIE2020 Medical Imaging 

  Access Paper or Ask Questions

Outlier Guided Optimization of Abdominal Segmentation

Feb 10, 2020
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* SPIE2020 Medical Imaging 

  Access Paper or Ask Questions

Stochastic tissue window normalization of deep learning on computed tomography

Dec 01, 2019
Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, Jeffrey J. Carr, Richard G. Abramson, Bennett A. Landman

* Journal of Medical Imaging 6.4 (2019): 044005 

  Access Paper or Ask Questions

Contrast Phase Classification with a Generative Adversarial Network

Nov 14, 2019
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* SPIE2020 
* 8 pages, 4 figures 

  Access Paper or Ask Questions

Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

Nov 12, 2019
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

* 7 pages, 5 figures, Accepted by SPIE 2020: Medical Imaging 

  Access Paper or Ask Questions

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Sep 11, 2019
Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang

* 5 pages, 6 figures 

  Access Paper or Ask Questions

Towards Universal Object Detection by Domain Attention

Apr 14, 2019
Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos

* Accepted to CVPR 2019 

  Access Paper or Ask Questions