Fandong Zhang

31 papers A* 6B 1Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fake It Right: Injecting Anatomical Logic into Synthetic Supervised Pre-training for Medical Segmentation.
CoRR
Jiaqi Tang, Mengyan Zheng, Shu Zhang, Fandong Zhang, Qingchao Chen
2026 J jnl
LDRNet: Large Deformation Registration Model for Chest CT Registration.
CoRR
Cheng Wang, Qiyu Gao, Fandong Zhang, Shu Zhang, Yizhou Yu
2026 J jnl
The Texture-Shape Dilemma: Boundary-Safe Synthetic Generation for 3D Medical Transformers.
CoRR
Jiaqi Tang, Weixuan Xu, Shu Zhang, Fandong Zhang, Qingchao Chen
2025 A* conf
Autoregressive Sequence Modeling for 3D Medical Image Representation.
AAAI
Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu
2024 J jnl
Autoregressive Sequence Modeling for 3D Medical Image Representation.
CoRR
Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu
2024 J jnl
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation.
CoRR
Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu
2024 — conf
Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation.
MICCAI (11)
Fei Gao, Siwen Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Churan Wang, Gang Yu, Yizhou Yu
2023 J jnl
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation.
CoRR
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
2023 J jnl
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.
IEEE Trans. Medical Imaging
Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
2023 A* conf
Learning Domain-Agnostic Representation for Disease Diagnosis.
ICLR
Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2022 J jnl
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
2022 A* conf
Disentangling Disease-related Representation from Obscure for Disease Prediction.
ICML
Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang
2022 J jnl
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification.
CoRR
Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2021 J jnl
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection.
CoRR
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
2021 J jnl
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.
IEEE Trans. Image Process.
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
2021 — conf
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction.
MICCAI (5)
Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang
2021 J jnl
Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net.
Medical Image Anal.
Yuhang Liu, Changsheng Zhou, Fandong Zhang, Qianyi Zhang, Siwen Wang, Juan Zhou, Fugeng Sheng, Xiaoqi Wang, Wanhua Liu, Yizhou Wang, Yizhou Yu, Guangming Lu
2021 J jnl
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition.
CoRR
Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2021 — conf
DAE-GCN: Identifying Disease-Related Features for Disease Prediction.
MICCAI (5)
Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
2020 — conf
BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification.
MICCAI (2)
Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang
2020 J jnl
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification.
CoRR
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang
2020 A* conf
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection.
CVPR
Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu
2019 A* conf
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms.
CVPR
Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang
2019 J jnl
Combining global and minutia deep features for partial high-resolution fingerprint matching.
Pattern Recognit. Lett.
Fandong Zhang, Shiyuan Xin, Jufu Feng
2019 — conf
From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network.
MICCAI (6)
Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu
2019 J jnl
Learning discriminative and invariant representation for fingerprint retrieval.
Sci. China Inf. Sci.
Dehua Song, Ruilin Li, Fandong Zhang, Jufu Feng
2018 — conf
FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis.
MICCAI (1)
Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang
2018 J jnl
Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion.
CoRR
Benyuan Sun, Zhen Zhou, Fandong Zhang, Xiuli Li, Yizhou Wang
2018 J jnl
Robust sparse representation based face recognition in an adaptive weighted spatial pyramid structure.
Sci. China Inf. Sci.
Xiao Ma, Fandong Zhang, Yuelong Li, Jufu Feng
2017 B conf
Deep Dense Multi-level feature for partial high-resolution fingerprint matching.
IJCB
Fandong Zhang, Shiyuan Xin, Jufu Feng
2017 A* conf
High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding.
AAAI
Fandong Zhang, Jufu Feng