◎ Guodong Zeng, and Guoyan Zheng. "3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images." International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2019). [Early Accept]
◎ Guodong Zeng, and Guoyan Zheng. "Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data." International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2019).
◎ Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, and Guoyan Zheng. "Bayesian voxdrn: A probabilistic deep voxelwise dilated residual network for whole heart segmentation from 3d mr images." International Conference on Medical Image Computing and Computer-Assisted Intervention ( MICCAI 2018 ), pp. 569-577, Springer. [Sportlight]
◎ Guodong Zeng, and Guoyan Zheng. "Multi-scale fully convolutional DenseNets for automated skin lesion segmentation in dermoscopy images." In International Conference Image Analysis and Recognition ( ICIAR 2018 ), pp. 513-521, Springer. [Best Paper Award ]
◎ Guodong Zeng, and Guoyan Zheng. "Multi-stream 3D FCN with multi-scale deep supervision for multi-modality isointense infant brain MR image segmentation." In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 136-140.
◎ Rens Janssens, Guodong Zeng, and Guoyan Zheng. "Fully automatic segmentation of lumbar vertebrae from CT images using cascaded 3D fully convolutional networks." In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 893-897.
◎ Guodong Zeng, Hai-Miao Hu, Yanhing Geng, and Chi Zhang. "A person re-identification algorithm based on color topology." In 2014 IEEE International Conference on Image Processing (ICIP 2014), pp. 2447-2451. IEEE, 2014.
◎ Guodong Zeng, and Guoyan Zheng. "Holistic Decomposition Convolution for Effective Semantic Segmentation of Medical Volume Images." Medical image analysis (MIA 2019).
◎ Hossein Arabi, Guodong Zeng, Guoyan Zheng, and Habib Zaidi. "Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI." European journal of nuclear medicine and molecular imaging (EJNMMI 2019): 1-14.
◎ Florian Schmaranzer, Ronja Helfenstein, Guodong Zeng, Till D. Lerch, Eduardo N. Novais, James D. Wylie, Young-Jo Kim, Klaus A. Siebenrock, Moritz Tannast, and Guoyan Zheng. "Automatic MRI-based Three-dimensional Models of Hip Cartilage Provide Improved Morphologic and Biochemical Analysis." Clinical Orthopaedics and Related Research 477, no. 5 (CORR 2019): 1036-1052.
◎ Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien PW Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen. "Benchmark on automatic 6-month-old infant brain segmentation algorithms: the iSeg-2017 challenge." IEEE transactions on medical imaging (TMI 2019).
◎ Hugo J Kuijf, J Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adrià Casamitjana, D Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Elodie Puybareau, Leticia Rittner, Carole H Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje van der Flier, Frederik Barkhof, Max A Viergever, Geert Jan Biessels. "Standardized assessment of automatic segmentation of white matter hyperintensities; results of the wmh segmentation challenge." IEEE transactions on medical imaging (TMI 2019).
◎ Guodong Zeng, and Guoyan Zheng. "Deep Learning-Based Automatic Segmentation of the Proximal Femur from MR Images." Advances in Experimental Medicine and Biology (Adv Exp Med Biol 2018), Intelligent Orthopaedics, pp. 73-79. Springer, Singapore, 2018.
◎ Haimiao Hu, Wen Fang, Guodong Zeng, Zihao Hu, and Bo Li. "A person re-identification algorithm based on pyramid color topology feature." Multimedia Tools and Applications 76, no. 24 ( MTAP 2017): 26633-26646.
◎ Hossein Arabi, Guodong Zeng, Guoyan Zheng, and Habib Zaidi. "Does deep learning approaches outperform atlas-guided attenuation correction in brain PET/MRI?." Journal of Nuclear Medicine 60, no. supplement 1 (2019): 175-175.
◎ Guodong Zeng, Qian Wang, Till Lerch, Florian Schmaranzer, Moritz Tannast, Klaus Siebenrock, and Guoyan Zheng. "Latent3DU-net: Multi-level latent shape space constrained 3D U-net for automatic segmentation of the proximal femur from radial MRI of the hip." In International Workshop on Machine Learning in Medical Imaging (MLMI@MICCAI 2018), pp. 188-196. Springer, Cham, 2018.
◎ Guodong Zeng, Daniel Belavy, Shuo Li, and Guoyan Zheng. "Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge." In International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging (CSI@MICCAI 2018), pp. 163-171. Springer, Cham, 2018.
◎ Guodong Zeng, and Guoyan Zheng. "Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images." In International Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging (MSKI@MICCAI 2018), pp. 35-48. Springer, Cham, 2018.
◎ Schmaranzer, F., R. Helfenstein, G. Zeng, T. D. Lerch, K. Siebenrock, M. Tannast, and G. Zheng. "Automatic MRI-based 3D Models of Hip Cartilage Using a 3D U-net-like Fully Convolutional Network for Improved Morphologic and Biochemical Analysis." In Seminars in Musculoskeletal Radiology (Vol. 23, No. S 02, p. A021). Georg Thieme Verlag KG.
◎ Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, and Guoyan Zheng. "3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images." In International workshop on machine learning in medical imaging (MLMI@MICCAI 2017), pp. 274-282. Springer, Cham, 2017. [Best Paper Award ]
◎ Guodong Zeng, and Guoyan Zheng. "DSMS-FCN: a deeply supervised multi-scale fully convolutional network for automatic segmentation of intervertebral disc in 3D MR images." In International Workshop and Challenge on Computational Methods and Clinical Applications in Musculoskeletal Imaging (MSKI@MICCAI 2017), pp. 148-159. Springer, Cham, 2017.
◎ Haimiao Hu, Guodong Zeng, Yanbing Geng, Bo Li. "Person Retrieval Algorithm Based on Color Spatial Topology in Video Surveillance." Patent, [P:201410344623.0], China.
◎ We achieved the 3rd place out of 21 teams in the MICCAI Grand Challenge of iSeg-2017: 6-month Infant Brain MRI Segmentation Challenge.
◎ We achieved the 1st place in the MICCAI Grand Challenge of MM-WHS 2017: Multi-Modality Whole Heart Segmentation.
◎ Reviewers of Journals:
✤Transactions on Biomedical Engineering (TBME)
✤Journal of Biomedical and Health Informatics (JBHI)
✤International Journal of Computer Assisted Radiology and Surgery (IJCARS)
✤Neurocomputing
◎ Reviewers of Conferences:
✤International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI 2019)
✤International Society for Computer Assisted Orthopaedic Surgery Conference (CAOS 2019)