个人简历

黄浦,男,19937月生山东诸城人。博士,副教授、硕士生导师。本硕博就读于BETVLCTOR伟德官方网址,先后在美国约翰霍普金斯大学(2016-2017)、美国斯坦福大学(2017)、美国北卡罗莱纳大学教堂山分校医学图像分析实验室(国家建设高水平大学联合培养博士,2018-2019学术访问先后在西雅图(美国)和北京等人工智能公司合作研发医学图像处理技术辅助临床诊疗算法20209月加入BETVLCTOR伟德官方网址任教,研究方向为深度学习、医学图像处理,多个研究成果发表在国际SCI期刊和国际学术会议。

 

招生方向

信号与信息处理(学术硕士)、电子与通信工程(专业硕士)

研究方向   

医学物理、医学图像处理                  

主持科研项目

1. 国家自然科学基金青年基金项目基于注意力多域分析的胶质瘤磁共振图像生成研究30万,2023.01-2025.12

2. 山东省重大科技创新工程项目课题基于荧光的内窥镜系统及外视系统的研发及应用200万,2022.01-2024.12

 

论文成果

1. Pu Huang, Dengwang Li*, Zhicheng Jiao, Dongming Wei, Bing Cao, Zhanhao Mo, Qian Wang, Han Zhang*, Dinggang Shen*. Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Analysis, 2022, (79): 102472.

2. Tingxuan Hong, Pu Huang*, Xiangyu Zhai, Changming Gu, Baolong Tian, Bin Jin*, Dengwang Li*. MARS-GAN: Multilevel-feature-learning Attention-aware based Generative Adversarial Network for Removing Surgical Smoke. IEEE Transactions on Medical Imaging, 2023, 42(8): 2299-2312.

3. Pu Huang, Jing Wang, Jian Zhang, Yajuan Shen, Cong Liu, Weiqing Song, Shangshang Wu, Yuwei Zuo, Zhiming Lu, Dengwang Li*. Attention-aware Residual Network based Manifold Learning for White Blood Cells Classification. IEEE Journal of Biomedical and Health Informatics, 2021, 25 (4), 1206-1214.

4. Pu Huang, Gang Yu, Hua Lu, Danhua Liu, Ligang Xing, Yong Yin, Nataliya Kovalchuk, Lei Xing, Dengwang Li*. Attention-aware Fully Convolutional Neural Network with Convolutional Long Short-Term Memory Network for Ultrasound‐Based Motion Tracking. Medical Physics, 2019, 46(5): 2275-2285.

5. Pu Huang, Lin Su, Shuyang Chen, Kunlin Cao, Qi Song, Peter Kazanzides, Iulian Iordachita, Muyinatu A Lediju Bell, John W Wong, Dengwang Li*, Kai Ding*. 2D ultrasound imaging based intra-fraction respiratory motion tracking for abdominal radiation therapy using machine learning. Physics in Medicine & Biology, 2019, 64(18): 185006.

6. Pu Huang, Dengwang Li*, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang*, Dinggang Shen*. CoCa-GAN: common-feature-learning-based context-aware generative adversarial network for glioma grading. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019, 155-163. (MICCAI,国际医学图像处理方向顶级会议)

7. P Huang, G Yu, H Lu, D Liu, L Xing, Y Yin, N Kovalchuk, L Xing, D Li*. Ultrasound-Based Motion Tracking Using Attention-Aware Convolutional Neural Network and Convolutional Long Short-Term Memory Network. AAPM, 2019. (会议口头报告,美国医学物理大会AAPM)

8. P Huang, D Li*, K Cao, Q Song, P Kazanzides, I Iordachita, M Bell, J Wong, K Ding*. Respiration-induced Landmark Motion Tracking in Ultrasound Guided Radiotherapy. AAPM, 2017. (会议口头报告,美国医学物理大会AAPM)

9. P Huang, D Li*, E Shin, S Kim, L Su, A Rao, L Rosati, J Wong, A Narang, J Herman, K Ding*. Real-time Tracking of Endoscopic Ultrasound Guided Hydrogel Injection Using Template Matching. AAPM, 2017. (会议口头报告,美国医学物理大会AAPM)

 

荣誉奖励

1. 山东省科技进步二等奖,基于智能医学物理计算的图像引导肿瘤精准放疗关键技术及应用,山东省人民政府,2021,第二位

2. 山东省高等学校科学技术一等奖,基于联合形变配准和分割技术的图像引导智能精准医学,2020,第二位

3. 山东省互联网+大学生创新创业大赛金奖,智能超声影像引导仪诊疗一体化的智能专家,2021,指导教师

4. 中国研究生电子设计竞赛全国总决赛团队二等奖/华北赛区优秀指导教师,智能凝血检测,2023,指导教师

5. 中国研究生电子设计竞赛全国总决赛团队一等奖,智能除烟内窥镜系统,2022,指导教师