Fandong Zhang

According to our database, Fandong Zhang authored at least 22 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.

Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu

IEEE Trans. Medical Imaging, 2023

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation.

Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu

CoRR, 2023

Learning Domain-Agnostic Representation for Disease Diagnosis.

Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection.

Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification.

Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

CoRR, 2022

Disentangling Disease-related Representation from Obscure for Disease Prediction.

Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.

Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang

IEEE Trans. Image Process., 2021

Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net.

Yuhang Liu, Changsheng Zhou, Fandong Zhang, Qianyi Zhang, Siwen Wang, Juan Zhou, Fugeng Sheng, Xiaoqi Wang, Wanhua Liu, Yizhou Wang, Yizhou Yu, Guangming Lu

Medical Image Anal., 2021

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition.

Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

CoRR, 2021

DAE-GCN: Identifying Disease-Related Features for Disease Prediction.

Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CA-Net: Leveraging Contextual Features for Lung Cancer Prediction.

Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification.

Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection.

Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Combining global and minutia deep features for partial high-resolution fingerprint matching.

Fandong Zhang, Shiyuan Xin, Jufu Feng

Pattern Recognit. Lett., 2019

Learning discriminative and invariant representation for fingerprint retrieval.

Dehua Song, Ruilin Li, Fandong Zhang, Jufu Feng

Sci. China Inf. Sci., 2019

From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network.

Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms.

Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion.

Benyuan Sun, Zhen Zhou, Fandong Zhang, Xiuli Li, Yizhou Wang

CoRR, 2018

Robust sparse representation based face recognition in an adaptive weighted spatial pyramid structure.

Xiao Ma, Fandong Zhang, Yuelong Li, Jufu Feng

Sci. China Inf. Sci., 2018

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis.

Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Deep Dense Multi-level feature for partial high-resolution fingerprint matching.

Fandong Zhang, Shiyuan Xin, Jufu Feng

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding.

Fandong Zhang, Jufu Feng

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017