High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding. - Fandong Zhang; Jufu Feng (AAAI, 2017)

Deep Dense Multi-level feature for partial high-resolution fingerprint matching. - Fandong Zhang; Shiyuan Xin; Jufu Feng (IJCB, 2017)

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis. - Xinwei Sun 001; Lingjing Hu; Fandong Zhang; Yuan Yao 011; Yizhou Wang 001 (MICCAI (1), 2018)

Robust sparse representation based face recognition in an adaptive weighted spatial pyramid structure. - Xiao Ma 005; Fandong Zhang; Yuelong Li; Jufu Feng (Sci. China Inf. Sci., 2018)

Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion. - Benyuan Sun; Zhen Zhou; Fandong Zhang; Xiuli Li; Yizhou Wang 001 (CoRR, 2018)

Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. - Fandong Zhang; Ling Luo; Xinwei Sun 001; Zhen Zhou; Xiuli Li; Yizhou Yu; Yizhou Wang 001 (CVPR, 2019)

From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network. - Yuhang Liu; Zhen Zhou; Shu Zhang 001; Ling Luo; Qianyi Zhang; Fandong Zhang; Xiuli Li; Yizhou Wang 001; Yizhou Yu (MICCAI (6), 2019)

Learning discriminative and invariant representation for fingerprint retrieval. - Dehua Song; Ruilin Li; Fandong Zhang; Jufu Feng (Sci. China Inf. Sci., 2019)

Combining global and minutia deep features for partial high-resolution fingerprint matching. - Fandong Zhang; Shiyuan Xin; Jufu Feng (Pattern Recognit. Lett., 2019)

Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection. - Yuhang Liu; Fandong Zhang; Qianyi Zhang; Siwen Wang; Yizhou Wang 001; Yizhou Yu (CVPR, 2020)

BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification. - Chu-ran Wang; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (MICCAI (2), 2020)

CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. - Mingzhou Liu 001; Fandong Zhang; Xinwei Sun 001; Yizhou Yu; Yizhou Wang 001 (MICCAI (5), 2021)

DAE-GCN: Identifying Disease-Related Features for Disease Prediction. - Chu-ran Wang; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (MICCAI (5), 2021)

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition. - Mingzhou Liu 001; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (CoRR, 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 001; Yizhou Yu; Guangming Lu (Medical Image Anal., 2021)

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. - Chu-ran Wang; Jing Li 091; Fandong Zhang; Xinwei Sun 001; Hao Dong 003; Yizhou Yu; Yizhou Wang 001 (IEEE Trans. Image Process., 2021)

Disentangling Disease-related Representation from Obscure for Disease Prediction. - Chu-ran Wang; Fei Gao; Fandong Zhang; Fangwei Zhong; Yizhou Yu; Yizhou Wang 001 (ICML, 2022)

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification. - Chu-ran Wang; Jing Li 091; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (CoRR, 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 001; Yizhou Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Domain-Agnostic Representation for Disease Diagnosis. - Chu-ran Wang; Jing Li 091; Xinwei Sun 001; Fandong Zhang; Yizhou Yu; Yizhou Wang 001 (ICLR, 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)

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)

Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation. - Fei Gao; Siwen Wang; Fandong Zhang; Hong-Yu Zhou; Yizhou Wang 001; Churan Wang; Gang Yu; Yizhou Yu (MICCAI (11), 2024)

Autoregressive Sequence Modeling for 3D Medical Image Representation. - Siwen Wang; Churan Wang; Fei Gao; Lixian Su; Fandong Zhang; Yizhou Wang 001; Yizhou Yu (AAAI, 2025)