Haifan Gong

33 papers A* 1A 1B 1Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Costal cartilage segmentation with topology guided deformable mamba: Method and benchmark.
Expert Syst. Appl.
Senmao Wang, Haifan Gong, Runmeng Cui, Boyao Wan, Zhonglin Hu, Haiqing Yang, Jingyang Zhou, Haiyue Jiang, Lin Lin
2025 J jnl
BCNet: Bronchus Classification via Structure Guided Representation Learning.
IEEE Trans. Medical Imaging
Wenhao Huang, Haifan Gong, Huan Zhang, Yu Wang, Xiang Wan, Guanbin Li, Haofeng Li, Hong Shen
2025 J jnl
Boundary as the Bridge: Toward Heterogeneous Partially-Labeled Medical Image Segmentation and Landmark Detection.
IEEE Trans. Medical Imaging
Haifan Gong, Boyao Wan, Luoyao Kang, Xiang Wan, Lingyan Zhang, Haofeng Li
2025 A* conf
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training.
AAAI
Haifan Gong, Yu Lu, Xiang Wan, Haofeng Li
2025 J jnl
Fetal Cerebellum Landmark Detection Based on 3D MRI: Method and Benchmark.
IEEE J. Biomed. Health Informatics
Haifan Gong, Huixian Liu, Yitao Wang, Xiaoling Liu, Xiang Wan, Qiao Shi, Haofeng Li
2025 — conf
Nnmamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model.
ISBI
Haifan Gong, Luoyao Kang, Yitao Wang, Yihan Wang, Xiang Wan, Xusheng Wu, Haofeng Li
2025 J jnl
Plug-and-play computational method for advancing natural and biomedical image representation.
Patterns
Haifan Gong, Tianyu Han, Guanbin Li
2024 J jnl
Costal Cartilage Segmentation with Topology Guided Deformable Mamba: Method and Benchmark.
CoRR
Senmao Wang, Haifan Gong, Runmeng Cui, Boyao Wan, Yicheng Liu, Zhonglin Hu, Haiqing Yang, Jingyang Zhou, Bo Pan, Lin Lin, Haiyue Jiang
2024 J jnl
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models.
CoRR
Haifan Gong, Yitao Wang, Yihan Wang, Jiashun Xiao, Xiang Wan, Haofeng Li
2024 A conf
Intensity Confusion Matters: An Intensity-Distance Guided Loss For Bronchus Segmentation.
ICME
Haifan Gong, Wenhao Huang, Huan Zhang, Yu Wang, Xiang Wan, Hong Shen, Guanbin Li, Haofeng Li
2024 J jnl
Intensity Confusion Matters: An Intensity-Distance Guided Loss for Bronchus Segmentation.
CoRR
Haifan Gong, Wenhao Huang, Huan Zhang, Yu Wang, Xiang Wan, Hong Shen, Guanbin Li, Haofeng Li
2024 J jnl
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model.
CoRR
Haifan Gong, Luoyao Kang, Yitao Wang, Xiang Wan, Haofeng Li
2023 J jnl
A Survey of Natural Language Generation.
ACM Comput. Surv.
Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang
2023 — conf
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation.
MICCAI (7)
Zihang Xu, Haifan Gong, Xiang Wan, Haofeng Li
2023 J jnl
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation.
CoRR
Zihang Xu, Haifan Gong, Xiang Wan, Haofeng Li
2023 J jnl
Real-time monitoring of manual acupuncture stimulation parameters based on domain adaptive 3D hand pose estimation.
Biomed. Signal Process. Control.
Liuliu Xu, Haifan Gong, Yun Zhong, Fan Wang, Shouxin Wang, Lu Lu, Jinru Ding, Chen Zhao, Wenchao Tang, Jie Xu
2023 J jnl
Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules.
Comput. Biol. Medicine
Haifan Gong, Jiaxin Chen, Guanqi Chen, Haofeng Li, Guanbin Li, Fei Chen
2023 J jnl
Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction.
Bioinform.
Haifan Gong, Yumeng Zhang, Chenhe Dong, Yue Wang, Guanqi Chen, Bilin Liang, Haofeng Li, Lanxuan Liu, Jie Xu, Guanbin Li
2023 — conf
Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction.
MICCAI (5)
Luoyao Kang, Haifan Gong, Xiang Wan, Haofeng Li
2023 J jnl
Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction.
CoRR
Luoyao Kang, Haifan Gong, Xiang Wan, Haofeng Li
2022 J jnl
BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification.
CoRR
Wenhao Huang, Haifan Gong, Huan Zhang, Yu Wang, Haofeng Li, Guanbin Li, Hong Shen
2022 — conf
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis.
MICCAI (4)
Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li
2022 J jnl
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis.
CoRR
Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li
2022 J jnl
Risk stratification and pathway analysis based on graph neural network and interpretable algorithm.
BMC Bioinform.
Bilin Liang, Haifan Gong, Lu Lu, Jie Xu
2022 J jnl
VQAMix: Conditional Triplet Mixup for Medical Visual Question Answering.
IEEE Trans. Medical Imaging
Haifan Gong, Guanqi Chen, Mingzhi Mao, Zhen Li, Guanbin Li
2021 J jnl
A Survey of Natural Language Generation.
CoRR
Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang
2021 B conf
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering.
ICMR
Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li
2021 J jnl
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering.
CoRR
Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li
2021 — conf
Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior.
ISBI
Haifan Gong, Guanqi Chen, Ranran Wang, Xiang Xie, Mingzhi Mao, Yizhou Yu, Fei Chen, Guanbin Li
2021 — conf
SYSU-HCP at VQA-Med 2021: A Data-centric Model with Efficient Training Methodology for Medical Visual Question Answering.
CLEF (Working Notes)
Haifan Gong, Ricong Huang, Guanqi Chen, Guanbin Li
2020 — conf
HCP-MIC at VQA-Med 2020: Effective Visual Representation for Medical Visual Question Answering.
CLEF (Working Notes)
Guanqi Chen, Haifan Gong, Guanbin Li
2020 J jnl
Online Tracking and Relocation Based on a New Rotation-Invariant Haar-Like Statistical Descriptor in Endoscopic Examination.
IEEE Access
Haifan Gong, Limin Chen, Changhao Li, Jun Zeng, Xichen Tao, Yue Wang
2019 — conf
Opioid Abuse Prediction Based on Multi-output Support Vector Regression.
ICMLT
Haifan Gong, Chaoqin Qian, Yue Wang, Jianfeng Yang, Sheng Yi, Zichen Xu