澳门京新葡萄官网(中国)集团有限公司助理教授/研究员、博士生导师，深圳市海外高层次人才。集团通信与信息安全实验室、深圳市宽带无线网络安全技术工程实验室副主任。分别在华南理工大学获得学士学位，集团获得硕士和博士学位，博士毕业后在哈佛大学医集团/麻省总医院从事博士后研究工作。从事研究领域包括：AI for science, 特别是利用智能分析从多家医院数据中提取科学规律与量化指标，实现疾病定量诊疗；多方隐私计算，在多方参与计算场景下保障隐私不泄露并实现高性能模型训练。参与了多项NIH项目，积极推动智能算法赋能于临床医学的应用与发展，直接辅助医生更准确及高效率诊断疾病。以第一作者身份发表了包括IEEE T-PAMI、Radiology: AI, IEEE TCSVT、CVPR、MICCAI等国际顶级期刊和会议，并担任IEEE Transactions on Image Processing，IEEE Transactions on Broadcasting等国际期刊审稿人，多次受邀在放射学顶级大会RSNA做口头报告，成果得到国际著名影像学论坛AuntMinnie.com的访问报道。

本实验室欢迎优秀的本科生/硕士生推免或报考硕士/博士研究生，也欢迎访问员工和申报博士后。

高级程序设计

1. Guibo Luo, Tianyu Liu, Jinghui Lu, Xin Chen, Lequan Yu, Jian Wu, Danny Z. Chen, Wenli Cai. “Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation”, Accept for publication on Radiology: Artificial Intelligence.

2. Guibo Luo, Tianyu Liu, Bin Li, Michael Zalis, Wenli Cai; “Deep-Cleansing: Deep-learning Based Electronic Cleansing in Dual-energy CT Colonography”, Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 43-53, 2021.

3. Wenli Cai, Tianyu Liu, Xing Xue, Guibo Luo, Xiaoli Wang, et al., “CT Quantification and Machine-learning Models for Assessment of Disease Severity and Prognosis of COVID-19 Patients”, Academic Radiology, vol. 27, no. 12, pp. 1665-1678, Dec. 2020.

4. Guibo Luo, Yuesheng Zhu, Zhenyu Weng, Zhaotian Li, “A Disocclusion Inpainting Framework for Depth-based View Synthesis”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 42, no. 6, pp. 1289-1302, Jun. 2020.

5. Guibo Luo, Yuesheng Zhu, “Foreground Removal Approach for Hole Filling in 3D Video and FVV Synthesis”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, pp. 2118 - 2131, Oct, 2017.

6. Guibo Luo, Yuesheng Zhu, Zhaotian Li, Liming Zhang; “A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video”, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1781-1789, 2016.

会议报告

1. Guibo Luo, Zixuan Huang, Bin Li, Tianyu Liu, Mingyue Luo, Wenli Cai, “Deep Convolutional Neural Networks for Electronic Cleansing in Non-cathartic CT Colonography”, RSNA 2022.

2. Guibo Luo, Wenli Cai, K. Ina, Ly, Eva Dombi, Brigitte Widemann, Justin T. Jordan, Tianyu Liu, Scott R. Plotkin, Gordon Harris, “Deep-NF: Deep Convolutional Neural Networks for Volumetric Segmentation of Plexiform Neurofibromas on MRI”, CTF 2022.

3. Guibo Luo, Wenli Cai, Tianyu Liu, Xin Chen, Lequan Yu, “Federated vs Centralized Deep-learning Models for Liver and Tumor Segmentation in Multi-center Hepatic CT datasets”, RSNA 2021.

4. Guibo Luo, Wenli Cai, K. Ina Ly, Eva Dombi, Brigitte Widemann, Tianyu Liu, Gordon Harris, “3D random walk for volumetric tumor segmentation of plexiform neurofibromas on MRI”, CTF 2021.