Construction of Deformable Trunk Atlas of Chinese Human Based on Multiple PET/CT Images: Preliminary Results. - Hongkai Wang 002; Xiaobang Sun; Li Huo; Xin Tang; Changjian Liu (HCI (16), 2017)

Classification of Benign and Malignant Breast Mass in Digital Mammograms with Convolutional Neural Networks. - Xin Zhao; Xianheng Wang; Hongkai Wang 002 (ISICDM, 2018)

Deformable Head Atlas of Chinese Adults Incorporating Inter-Subject Anatomical Variations. - Zhaofeng Chen; Tianshuang Qiu; Li Huo; Lijuan Yu; Hongcheng Shi; Yanjun Zhang; Hongkai Wang 002 (IEEE Access, 2018)

Organ Localization in PET/CT Images using Hierarchical Conditional Faster R-CNN Method. - Linlin Liu; Bin Zhang; Hongkai Wang 002 (ISICDM, 2019)

Inter-Subject Shape Correspondence Computation From Medical Images Without Organ Segmentation. - Zhaofeng Chen; Tianshuang Qiu; Li Huo; Lijuan Yu; Hongcheng Shi; Yanjun Zhang; Hongkai Wang 002 (IEEE Access, 2019)

Dual-modality multi-atlas segmentation of torso organs from [18F]FDG-PET/CT images. - Hongkai Wang 002; Nan Zhang 023; Li Huo; Bin Zhang (Int. J. Comput. Assist. Radiol. Surg., 2019)

Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network. - Ruxue Hu; Hongkai Wang 002; Tapani Ristaniemi; Wentao Zhu 002; Xiaobang Sun (EMBC, 2020)

Registration-based Construction of a Whole-body Human Phantom Library for Anthropometric Modeling. - Xiaobang Sun; Hongkai Wang 002; Tapani Ristaniemi (EMBC, 2020)

Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling. - Zhonghua Chen; Tapani Ristaniemi; Fengyu Cong; Hongkai Wang 002 (ISNN, 2020)

A novel supervised learning method to generate CT images for attenuation correction in delayed pet scans. - Fan Rao; Bao Yang; Yen-Wei Chen 001; Jingsong Li 001; Hongkai Wang 002; Hongwei Ye; Yaofa Wang; Kui Zhao; Wentao Zhu 002 (Comput. Methods Programs Biomed., 2020)

A Statistical Model of Spine Shape and Material for Population-Oriented Biomechanical Simulation. - Xiaobang Sun; Hongkai Wang 002; Weiying Wang; Nannan Li 002; Timo Hämäläinen 002; Tapani Ristaniemi; Changjian Liu (IEEE Access, 2021)

A classification system of day 3 human embryos using deep learning. - Chongwei Wu; Wei Yan; Hongtu Li; Jiaxin Li; Hongkai Wang 002; Shijie Chang; Tao Yu; Ying Jin; Chao Ma; Yahong Luo; Dongxu Yi; Xiran Jiang (Biomed. Signal Process. Control., 2021)

Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-Resolution Multi-Organ Shape Prior Knowledge Model. - Zhonghua Chen; Hongkai Wang 002; Fengyu Cong; Lauri Kettunen (CIPAE, 2022)

Deformable Torso Anatomy Education with Three-Dimensional Autostereoscopic Visualization and Free-Hand Interaction. - Nan Zhang 023; Hongkai Wang 002; Tianqi Huang; Xinran Zhang; Hongen Liao (VR Workshops, 2022)

AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development. - Mingrui Zhuang; Zhonghua Chen; Hongkai Wang 002; Hong Tang; Jiang He; Bobo Qin; Yuxin Yang; Xiaoxian Jin; Mengzhu Yu; Baitao Jin; Taijing Li; Lauri Kettunen (J. Digit. Imaging, 2022)

Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images. - Mingrui Zhuang; Zhonghua Chen; Hongkai Wang 002; Hong Tang; Jiang He; Bobo Qin; Yuxin Yang; Xiaoxian Jin; Mengzhu Yu; Baitao Jin; Taijing Li; Lauri Kettunen (Int. J. Comput. Assist. Radiol. Surg., 2023)

Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images. - Rui Xu 002; Dan Yu; Xuan Yang; Xinchen Ye; Zhihui Wang 001; Yi Wang 037; Hongkai Wang 002; Haojie Li; Dingpin Huang; Fangyi Xu; Yi Gan; Yuan Tu; et al. (MICCAI (4), 2024)

Anatomical Embedding-Based Training Method for Medical Image Segmentation Foundation Models. - Mingrui Zhuang; Rui Xu 002; Qinhe Zhang; Ailian Liu; Xin Fan 001; Hongkai Wang 002 (MedAGI@MICCAI, 2024)

A VR Environment for Human Anatomical Variation Education: Modeling, Visualization and Interaction. - Nan Zhang 023; Hongkai Wang 002; Tianqi Huang; Xinran Zhang; Hongen Liao (IEEE Trans. Learn. Technol., 2024)

Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images. - Haoyu Zhai; Zhonghua Chen; Lei Li; Hairong Tao; Jinwu Wang; Kang Li; Moyu Shao; Xiaomin Cheng; Jing Wang; Xiang Wu; Chuan Wu; Xiao Zhang; et al. (Int. J. Comput. Assist. Radiol. Surg., 2024)

Annotation-efficient training of medical image segmentation network based on scribble guidance in difficult areas. - Mingrui Zhuang; Zhonghua Chen; Yuxin Yang; Lauri Kettunen; Hongkai Wang 002 (Int. J. Comput. Assist. Radiol. Surg., 2024)

Brain tumor segmentation algorithm based on pathology topological merging. - Deshan Liu; Yanchao Zhang; Xin Wang; Yumeng Jiang; Hongkai Wang 002; Lingling Fang (Multim. Tools Appl., 2024)

ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining. - Tong Wang; Mingkang Wang; Zhongze Wang; Hongkai Wang 002; Qi Xu 008; Fengyu Cong; Hongming Xu 002 (CVPR, 2025)

2.5D Top-K Ranked Multiple Instance Learning to Classify NSCLC PD-L1 Status on CT Images. - Rui Xu; Huadong Liu; Yongcen Li; Xinchen Ye; Zhihui Wang; Hongkai Wang 002; Haojie Li; Yi Wang 037; Dingpin Huang; Fangyi Xu; Yi Gan; Yuan Tu; et al. (ICASSP, 2025)

EchoCardMAE: Video Masked Auto-Encoders Customized for Echocardiography. - Xuan Yang; Rui Xu 002; Xinchen Ye; Zhi-Hui Wang 001; Miao Zhang; Yi Wang 037; Xin Fan 001; Hongkai Wang 002; Qingxiong Yue; Xiangjian He; Yen-Wei Chen 001 (MICCAI (13), 2025)