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Xiangyu Li, Xinjie Liang, Gongning Luo*, et al. Ambiguity-aware Breast Tumor Cellularity Estimation Via Self-ensemble Label Distribution Learning [J]. Medical Image Analysis, 2023.(中科院一区，Top期刊，IF>10)
Xiangyu Li, Gongning Luo*, et al. Curriculum label distribution learning for imbalanced medical image segmentation [J]. Medical Image Analysis, 2023.(中科院一区，Top期刊，IF>10)
Weihe Dong, Qiang Yang, Jian Wang, Long Xu, Xiaokun Li, Gongning Luo*, et al. Multi-modality attribute learning-based method for drug–protein interaction prediction based on deep neural network [J]. Briefings in Bioinformatics, 2023.(中科院一区，Top期刊，IF>10)
Gongning Luo, et al. Trajectory-aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography [J]. IEEE Journal of Biomedical and Health Informatics, 2023.(中科院一区，Top期刊，IF=7.7)
骆功宁，王玮，李钦策，王宽全*，虚拟生理心脏研究进展, 中国科学基金，2022，36（2）：198-205.
Xiangyu Li, Gongning Luo*, et al. Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation [J]. IEEE Journal of Biomedical and Health Informatics, 2022.(中科院小区一区，Top期刊， IF=7.7)
Gongning Luo, Wei Wang, et al. Dynamically Constructed Network with Error Correction for Accurate Ventricle Volume Estimation [J]. Medical Image Analysis, 2020，64(1):101723. (中科院一区，Top期刊， IF>10)
Suyu Dong, Gongning Luo, Clara Tam, et al. Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography[J]. Medical Image Analysis, 2020, 61 (1): 101638. (中科院一区，Top期刊， IF>10)
Gongning Luo, Suyu Dong, Kuanquan Wang*, et al. Commensal Correlation Network Between Segmentation and Direct Area Estimation for Bi-ventricle Quantification, Medical Image Analysis, 2020, 59(1):101591. (中科院一区，Top期刊， IF>10)
Chao Ma; Gongning Luo; Kuanquan Wang*. Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images, IEEE Transactions on Medical Imaging, 2018.37(8): 1943~1954.(中科院一区，Top期刊， IF>10)
Gongning Luo; Suyu Dong, Kuanquan Wang*, et al. Multi-views fusion CNN for left ventricular volumes estimation on cardiac MR images[J]. IEEE Transactions on Biomedical Engineering, 2018, 65(9): 1924-1934.(中科院二区， IF=4.5)
Gongning Luo ; Dong Sui; Jinseok Chae; Kuanquan Wang *. Neuron anatomystructure reconstruction based on a sliding filter, BMC BIOINFORMATICS, 2015, 16: 342.(JCR一区， IF=3.1)
Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Qince Li, Henggui Zhang. A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography [J]. Biomed Research International, 2018.( IF= 3.4)
Hammad Mohamed, Gongning Luo, Kuanquan Wang. Cancelable biometric authentication system based on ECG [J]. Multimedia Tools And Applications, 2019,78(2):1857-1887. (IF= 2.7, JCR 二区)
Chao Ma, Gongning Luo, Kuanquan Wang. A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI [J]. Biomed Research International, 2017.( IF= 3.4)
马超，刘亚淑，骆功宁, 王宽全. 基于级联随机森林与活动轮廓的医学磁共振图像三维分割. 自动化学报. 2019, 45(5):1010-1020. (CCF A类学报)
Pengbo Bo, Gongning Luo, Kuanquan Wang, A graph-based method for fitting planar B-spline curves with intersections [J].Journal of Computational Design and Engineering, 2016, 3(1):14-23.(JCR一区，IF=6.1)
代表性会议论文
Yuetan Chu, Longxi Zhou, Gongning Luo*, et al. Topology-Preserving Computed Tomography Super-resolution Based on Dual-stream Diffusion Model[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2023. (Top Conference on medical image analysis，STAR Award, Top 3%)
Xiangyu Li, Xinjie Liang, Gongning Luo*, et al. ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2022. (Top Conference on medical image analysis)
Dong Liang, Jun Liu, Kuanquan Wang*, Gongning Luo*, et al. Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2022. (Top Conference on medical image analysis)
Xinghua Ma, Gongning Luo*, et al. Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2021. (Top Conference on medical image analysis)
Yuyang Zhang, Gongning Luo*, et al. Branch-aware Double DQN for Centerline Extraction in Coronary CT Angiography[C]//Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2020. (Top Conference on medical image analysis, Early Accept)
Gongning Luo, Suyu Dong, Kuanquan Wang*, et al. A Deep Reinforcement Learning Framework for Frame-byframe Plaque Tracking on Intravascular Optical Coherence Tomography Image[C]. Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2019: 12-20. (Top Conference on medical image analysis, Early Accept, Travel Award, Top 3%)
Suyu Dong, Gongning Luo, Kuanquan Wang, et al. VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI). Springer, Cham, 2018: 622-629.(Top Conference on medical image analysis)
Xiangyu Li, Gongning Luo, Kuanquan Wang. Multi-step Cascaded Networks for Brain Tumor Segmentation[J]. MICCAI workshop, 2019.
Yashu Liu, Wei Wang, Kuanquan Wang, Chenqin Ye, Gongning Luo. An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image[J]. MICCAI workshop, 2019.
Yashu Liu, Kuanquan Wang, Gongning Luo,et al. A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model[C].Computing in Cardiology Conference (CINC) 2019.
Suyu Dong, Gongning Luo, Guanxiong Sun, et al. A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography[C]//2016 Computing In Cardiology Conference (Cinc). IEEE, 2016: 889-892.
Suyu Dong, Gongning Luo, Guanxiong Sun, Kuanquan Wang, et al. A left ventricular segmentation method on 3D echocardiography using deep learning and snake[C]//2016 Computing in Cardiology Conference (CinC). IEEE, 2016: 473-476.
Gongning Luo, Kuanquan Wang, Naren Wulan, Shaodong Cao, Qince Li, Yongfeng Yuan, Henggui Zhang. A Novel Spatio-temporal Self-supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data [C]. Computing in Cardiology Conference, 2019
Gongning Luo, Kuanquan Wang, Shaodong Cao, Qince Li, Henggui Zhang. A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance [C]. Computing in Cardiology Conference,2018. DOI 号:10.22489/CinC.2018.076,EI）
Gongning Luo, Suyu Dong, Kuanquan Wang, Henggui Zhang. Cardiac left ventricular volumes prediction method based on atlas location and deep learning [C]. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)， 2016：1604-1610.（CCF B 类）
Gongning Luo, Ran An, Kuanquan Wang, Suyu Dong, Henggui Zhang. A deep learning network for right ventricle segmentation in short-axis MRI [C]. Computing in Cardiology Conference (CINC), 2016, 43：485-488. Google 引用 55次）
Gongning Luo, Guanxiong Sun, Kuanquan Wang, Suyu Dong, Henggui Zhang. A novel left ventricular volumes prediction method based on deep learning network in cardiac MRI [C]. Computing in Cardiology Conference (CINC) 2016, 43： 89-92.
Gongning Luo, Kuanquan Wang, Pengbo Bo, Yong Xia, Henggui Zhang. A Novel Reconstruction Method of 3D Heart Geometry Atlas Based on Visible Human [C]. International Conference on Virtual Reality and Visualization (ICVRV), 2017: 133-138.（EI）
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