· 国家自然科学基金“重大疾病智慧诊疗专项”，基于影像和多组学的冠心病精准诊疗和风险预测智能模型构建及应用研究（联合申请B）（项目负责人，2025-2027）

· 国家重点研发计划课题，诊疗装备与生物医用材料专项，高分辨率心血管血流动态成像技术研究（课题负责人，2025-2027）

· 国家科技重大专项，艾滋病和病毒性肝炎等重大传染病防治，面向高维大数据的手足口病暴发流行和重症病例预测预警模型构建与应用，（子课题负责人，2018-2020）

· 国家自然科学基金海外及港澳学者合作研究基金，心脏CT图像“一站式”诊断平台中图像处理关键算法研究（国内主要合作人，2019-2020）

· 国家重点研发计划课题，数字诊疗装备研发专项，DSA混合引导支架实时精确定位，（骨干，2017-2019）

· 国家自然科学基金面上项目，肾部分切除手术中图像处理关键技术研究（项目负责人，2016 - 2019）

· 江苏省自然科学基金面上项目，冠状动脉CT造影图像处理关键问题研究（项目负责人，2013 - 2015）

· 国家自然科学基金青年基金项目，CCTA图像冠状动脉自动分割算法研究（项目负责人，2012 - 2014）

Journal Papers: 

• 【IEEE-TPAMI 2025, CCF-A】He YT, Wang BY, Ge RJ, Chen Y, Yang GY, Li S. Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), 2025. doi: 10.1109/TPAMI.2025.3540644. IF=20.8

• 【IEEE-TCSVT 2024】Wang T, Qi XM and Yang GY. Polyp Segmentation via Semantic Enhanced Perceptual Network. IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 2024, 34(12):12594-12607.  IF=8.3

• 【IEEE-JBHI 2024】Qi XM, He YT, Qi YL, Kong YY, Yang GY, Li S. STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+ T CMR Segmentation. IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), 2024, 28(2):881-892. IF=7.7

• 【IEEE-JBHI 2023】Yang GY*,  He YT, Lv Y, Chen Y, Coatrieux JL, Sun XX, Wang Q, Wei, YY, Li S, Zhu YS*. Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction Via Memory Drift and Prior Promp t Learning on 3D Chest CT,  IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), 2023, 27(4): 1967-1978.

• 【KBS 2023】Jiang ZY, He YT, Ye S, Shao PF, Zhu XM, Xu Y, Chen Y, Coatrieux JL, Li S, Yang GY*. O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation. Knowledge-Based Systems, 2023, 265: 110378.

• Gao Y, Xin L, Lin H, Yao B, Zhang T, Zhou AJ, Huang S, Wang JH, Feng YD, Yao SH, Guo Y, Dang T, Meng XM, Yang ZZ, Jia WQ, Pang HF, Tian XJ, Deng B, Wang JP, Fan WC, Wang J, Shi LH, Yang GY, Sun C, Wang W, Zang JC, Li SY, Shi RH, Li ZS*,Wang LW*. Machine learning-based automated sponge cytology for screening of oesophageal squamous cell carcinoma and adenocarcinoma of the oesophagogastric junction: a nationwide, multicohort, prospective study, The Lancet Gastroenterology & Hepatology, 2023, 8(5): 432-445. IF = 45.04

• 【IEEE-TNNLS2022】He YT, Ge RJ, Qi XM, Chen Y, Wu JS, Coatrieux JL, Yang GY*,  S Li.  Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), 2022, online.

• 【KBS 2022】Kong JD, He YT, Zhu XM, Shao PF, Xu Y, Chen Y, Coatrieux JL, Yang GY *. BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images. Knowledge-Based Systems. 2022, 252:109369.

• 【IEEE-JBHI 2022】Qi XM, Yang GY*, Chen Y, Yang J, Liu WY, Zhu YS, Xu Y, Shu HZ, Li S*. MVSGAN: Spatial-aware Multi-view CMR Fusion for accurate 3D Left Ventricular Myocardium Segmentation, IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), 2022, 26(5):2264-2275. 

• 【IEEE-JBHI 2022】He YT, Li TT, Ge RJ, Yang J, Kong YY, Shu HZ, Yang GY*, Li S*, Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching, IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), 2022, 26(3):1177-1187. 

• Feng LL#, Liu ZY#, Li CF#, Li ZH#, Lou XY#, Shao LZ#, Wang YL, Huang Y, Chen HY, Pang XL, Liu S,  He, F, Zheng J, Meng XC, Xie PY, Yang GY,  Ding Y, Wei MB, Yun JP, Hung MC, Zhou WH, Wahl DR, Lan P, Tian J*, Wan XB*. Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multi-center observational study. TheLancet Digital Health. 2022. 4(1): e8-e17. IF = 36.62

• Ji TJ, Chen Q, Zhang Y, Zeng HR, Wang JX, Yang GY, Xu WB, Liu HT, A Novel Early Warning Model for Hand, Foot and Mouth Disease Prediction Based on a Graph Convolutional Network, Biomedical and Environmental Sciences, 2022, 35(6): 494-503.

• Zhang SB#, Yang GY, Qian J, Zhu XM, Li J, Li P, He YT, Xu Y, Shao PF, Wang ZJ. A novel 3D deep learning model to automatically demonstrate renal artery segmentation and its validation in nephron-sparing surgery. Front Oncol. 2022 Oct 14; 12: 997911.

• 【IEEE-TIP 2021, CCF-A】Qi YL#, Xu H#, He YT, Li GY, Li ZH, Kong YY, Coatrieux JL, Shu HZ, Yang GY*, Tu SX*, Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint”,  IEEE Transactions on Image Processing (IEEE-TIP), 2021, 30: 9429-9441.

• 【IEEE-TBME 2021】Shao LZ#, Liu ZY#, Yan Y#, Liu JG, Ye XJ, Xia HZ, Zhu XH, Zhang YT, Zhang ZY, Chen HY, He W, Liu C, Lu M, Huang Y, Sun K, Zhou XZ, Yang GY*, Lu J*, Tian J*. Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists. IEEE Transactions on Biomedical Engineering (IEEE-TBME), 2021, 68(12):3690-3700.

• 【MedIA 2021】He YT, Yang GY*, Yang J, Ge RJ, Kong YY, Zhu XM, Zhang SB, Shao PF,  Shu HZ, Dillenseger JL., Coatrieux JL, Li S*. Meta grayscale adaptive network for 3D integrated renal structures segmentation. Medical Image Analysis(MedIA), 2021, 71: 102055

• 【IEEE-TMI 2020】Zhang C, Shu HZ*,Yang GY, Li FQ, Wen YG, Zhang Q, Dillenseger JL, Coatrieux, JL, HIFUNet: Multi-Class Segmentation of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning, IEEE Transactions on Medical Imaging, 2020, 39(11):3309-3320.

• 【MedIA 2020】He YT, Yang GY*, Yang J, Chen Y, Kong YY, Wu JS, Tang LJ, Zhu XM, Dillenseger JL, Shao PF, Zhang SB, Shu HZ, Coatrieux JL, Li S. “Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation. Medical Image Analysis (MedIA), 2020, 63: 101722.

• 【IEEE-TMI 2020】Ge RJ#, Yang GY#, ChenY*, Luo LM, Feng C, Ma H, Ren JY, Li S*. K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence. IEEE Transactions on Medical Imaging  (IEEE-TMI), 2020，39(5):1690-1702.

• Shao LZ#, Yan Y#, Liu ZY#, Ye XJ#, Xia HZ, Zhu XH, Zhang YT, Zhang ZY, Chen HY, He W, Liu C, Lu M, Huang Y, Ma LL, Sun K, Zhou XZ, Yang GY*, Lu J*, Tian J*. Radiologist-Like Artificial Intelligence for Grade Group Prediction of Radical Prostatectomy for Reducing Upgrading and Downgrading From Biopsy. Theranostics, 2020, 10(22): 10200 - 10212.

• Yang GY#, Lv TL#, Shen YP, Li S, Yang J*, Chen Y*, Shu HZ, Luo LM, Coatrieux J-L. Vessel Structure Extraction using Constrained Minimal Path Propagation. Artificial Intelligence in Medicine, 2020, 105:101846.

• Ge RJ, Yang GY, ChenY*, Luo LM, Feng C, Zhang HY, LiS*. PV-LVNet: Direct Left Ventricle Multitype Indices Estimation from 2D Echocardiograms of Paired Apical Views with Deep Neural Networks. Medical Image Analysis  (MedIA), 2019, 58: 101554.

• Wang TT, Xu Y, Liu WY, Shao PF, Lv Q, Yang GY*, Tang LJ*. Measurement of Glomerular Filtration Rate Using Multiphasic Computed Tomography in Patients With Unilateral Renal Tumors: A Feasibility Study. Frontiers in Physiology, 2019, 10:1209.

• Lv TL, Yang GY,Zhang YD, Yang J, Chen Y*, Shu H, Luo, LM. Vessel segmentation using centerline constrained level-set method. Multimedia Tools and Applications, 2019, 78(12):17051-75.

• Zhang SB#, Yang GY#, Tang LJ#, Lv Q, Li J, Xu Y, Zhu XM, Li P, Shao PF*, Wang Z, Application of a functional three-dimensional perfusion model in laparoscopic partial nephrectomy with precise segmental renal artery clamping. Urology, 125, 98-103, 2019.

• Cao Q, Broersen A, Graaf MAD, Kitslaar PH, Yang GY, Scholte AJ, Lelieveldt BPF, Reiber JHC, Dijkstra J*.Automatic identification of coronary tree anatomy in coronary computed tomography angiography. The International Journal of Cardiovascular Imaging,2017, 33(11), 1809-1819.

• Chen Y*, Zhang YD, Yang J, Cao Q, Yang GY, Chen J, Shu HZ, Luo LM, CoatrieuxJ-L, Feng QJ, Curve-like structure extraction using minimal path propagation with backtracking, IEEE Transactions on Image Processing, 2016, 25, 988-1003, 2016

• Yang GY*, Chen Y, Sun Q, Ning X, Shu HZ, Coatrieux J-L. Fully Automatic Coronary Calcification Detection in Non-Contrast CT Images. Medical Physics, 2016, 43(5):2174-2186.

• Li B, Yang GY, Coatrieux J-L, Li B, Shu HZ*. 3D nonrigid medical image registration using a new information theoretic measure.Physics in Medicine and Biology, 60: 8767-90, 2015

• Yu G*, Liang Y, Yang GY, Shu HZ, Li B, Yin Y, Li D. Accelerated gradient-based free form deformable registration for online adaptive radiotherapy. Physics in Medicine and Biology 60: 2765-83, 2015.

• Yang GY*, Kitslaar P, Frenay M, Broersen A, Boogers M, Bax J, Reiber J, Jouke D. Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography.The International Journal of Cardiovascular Imaging. 2012, 28(4), 921-933.

• Yang GY*, Zhou J,  Boulmier D,  Garcia M-P,  Luo LM,  Toumoulin C, Characterization of 3-D Coronary Tree Motion from MSCT Angiography, IEEE Transactions on Information Technology in Biomedicine, 14(1), 2010, 101-106.

• Bousse A*, Zhou J, Yang GY, Bellanger J-J, Toumoulin C, Motion Compensated Tomography Reconstruction of Coronary Arteries in Rotational Angiography, IEEE Transactions on Biomedical Engineering, 56(4), 2009, 1254–1257.

• Yang GY, Shu HZ*, Toumoulin C, Han G, Luo LM, Efficient Legendre Moment Computation for Grey Level Images, Pattern Recognition, 39(1), 2006, pp.74-80.

Conference Proceedings:

• 【ICASSP 2024 CCF-B】Zhang Y, Qi YL, Qi XM, Senhadji L, Wei YY, Chen F, Yang GY*. Fedsoda: Federated Cross-Assessment and Dynamic Aggregation for Histopathology Segmentation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024).

• 【ECCV 2024 CCF-B】Qi XM, Zhang Y, Wang T, Yang GY*, Jin YM*, Li S. Energy-induced Explicit quantification for Multi-modality MRI fusion. ECCV  2024.

• 【MICCAI 2024 CCF-B】Zhang Y, Qi YL, Qi XM, Wei YY*,  Yang GY*. DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification. MICCAI2024 (oral, < 5%).

• 【ICCV 2023, CCF-A】Qi YL, He YT, Qi XM, Zhang Y, Yang GY*. Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation, ICCV2023, Accepted.

• 【MICCAI 2023, CCF-B】Zhang Z, Zhang XL, Qi YL, Yang GY*. Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning, MICCAI2023, Accepted.

• 【MICCAI 2023, CCF-B】Chen XF, He YT, Xue C, Ge RJ, Li S, Yang GY*. Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training, MICCAI2023, Accepted.

• 【CVPR 2023, CCF-A】He YT, Yang GY*, Ge RJ, Chen Y, JL Coatrieux, BY Wang, Li S. Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training. CVPR 2023. Vancouver, Canada, June 18–22, 2023.

• 【MICCAI 2022, CCF-B】Qi XM, Yang GY*, He YT, Liu WY, Islam A, Li S. Contrastive Re-localization and History Distillation in Federated CMR Segmentation. MICCAI 2022, Singapore, Sept. 18–22, 2022.

• 【MICCAI 2022, CCF-B】Gao YQ, Yang GY*, Qi XM, Zhu YS, Li S. SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis. MICCAI 2022, Singapore, Sept. 18–22, 2022.

• 【MICCAI 2022, CCF-B】Shi JC, He YT，Kong YY, Coatrieux JL, Shu HZ, Yang GY*, Li S. XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention. MICCAI 2022,Singapore, Sept. 18–22, 2022.

• 【IJCAI 2022, CCF-A】Dong ZF, He YT, Qi XM, Chen Y, Shu HZ, Coatrieux JL, Yang GY*, Li S. MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation.  International Joint Conference on Artificial Intelligence (IJCAI) 2022. Messe Wien, Vienna, Austria, July 23-29, 2022.

• 【ICDM 2021, CCF-B】He YT, Ge RJ, Wu JS, Coatrieux J-L, Shu HZ, Chen Y, Yang GY*, Li S. Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation. International Conference on Data Mining (ICDM), Auckland, New Zealand, Dec., 7-10, 2021.

• 【MICCAI 2021, CCF-B】Wang S, He YT, Kong YY, Zhu XM, Zhang SB, Shao PF, Dillenseger J-L, Coatrieux J-L, Li S, Yang GY*, CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation, MICCAI, online, Sept. 27-Oct.1, 2021.

• 【MICCAI 2021, CCF-B】Zhao ZT, Yang GY* ,Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification, MICCAI, online, Sept. 27-Oct.1, 2021.

• 【IPMI 2021】He YT, Ge RJ, Qi XM, Yang GY*, Chen Y, Kong YY, Shu HZ, Coatrieux J-L, Li S. EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation. IPMI 2021, online. 2021.6.28-7.2.

• 【ECCV 2020, CCF-B】He YT, Li TT, Yang GY*, Kong YY, Chen Y, Shu HZ, Coatrieux J-L, Dillenseger J-L, Li S, Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images, ECCV 2020, Glasgow, 2020.8.23-28.

• 【MICCAI 2019, CCF-B】He YT, Yang GY*, Chen Y, KongYY, Wu JS, Tang LJ, Zhu XM, Dillenseger J-L, Shao PF, Zhang SB, Shu HZ, Coatrieux J-L, Li S, DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy, MICCAI 2019, Shenzhen, 2019.10.13-17.

• Lu ZW, Yang GY*, Hua TC, H LY. KongYY, Tang LJ, Zhu XM, Dillenseger J-L, Shu HZ, Coatrieux J-L. Unsupervised Three-dimensional Image Registration using a Cycle Convolutional Neural Network., IEEE International Conference on Image Processing, ICIP2019, Taibei, 2019.9.22-25.

• Pan T, Yang GY*, Wang CX, Zhou ZW, Kong YY, Tang LJ, Zhu XM, Dillenseger J-L, Shu HZ, Coatrieux J-L. A Multi-task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-phasic CT Images, IEEE International Conference on Image Processing, ICIP2019, Taipei, China, Sept.22-25, 2019.

• Zhao XR, Yang GY*, Chen Y, Lv TL, Sun WY, Shu HZ, Haigron P. Segmentation of aorta dissection CT images using convolution neural networks. In 33rd International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS 2019), Jun. 18-21, 2019, Rennes.

• Zhang C, Yang GY*,Shu HZ, Liu YN, Wen YG, Zhang Q, Dillenseger J-L. Segmentation of uterus and uterine fibroids in MR images using convolutional neural networks for HIFU surgery planning. In 33rd International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS 2019), Jun. 18-21, 2019, Rennes.

• YangGY*, Li GQ, Pan T, Kong YY, Wu JS, Shu HZ, Luo LM, Dillenseger J-L, Coatrieux J-L, Tang LJ, Zhu XM. Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module. In 24th International Conference on Pattern Recognition (ICPR 2018),  Beijing, China, Aug. 20-24, 2018.