Dr Patrice Monkam (高飞 博士) is currently an Assistant Professor and master supervisor with the School of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. He received a M.E. degree in Biomedical Engineering from Northeastern University in January 2019 and a PhD in Control Science and Engineering from Tsinghua University in June 2023. Dr Patrice Monkam received multiple awards including, Tsinghua University Comprehensive Scholarship 2022, Tsinghua University international student affairs scholarship 2021 & 2022, international students’ outstanding academic performance of Northeastern University for the 2017/2018 academic year, excellent Master’s thesis of Northeastern University 2019, outstanding Master’s thesis nomination of Liaoning province 2019, etc.
Dr. Monkam has made significant contributions to the field of AI-driven medical imaging, with a focus on annotated data generation, image quality enhancement, disease diagnosis, etc. His research has been published in top-tier journals including IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Computational Imaging, Computer in Biology and Medicine, Academic Radiology, etc.
In addition to his research, Dr. Monkam is committed to sharing knowledge, fostering the growth of future scholars and strengthening mutual understanding between people of different cultures and backgrounds. He has mentored numerous students and actively participate in youth empowerment and sustainable development initiatives.
Patrice Monkam博士 (高飞 博士) 现任东北大学医学与生物信息工程学院助理教授、硕士生导师。他于2019年1月获得东北大学生物医学工程硕士学位，2023年6月获得清华大学控制科学与工程博士学位。Patrice Monkam博士获得了多项奖项，包括清华大学2022年综合奖学金、清华大学2021和2022年国际学生工作奖学金、东北大学2017/2018学年国际学生杰出学术表现奖、东北大学2019年优秀硕士论文、辽宁省2019年度优秀硕士论文提名等。
Monkam博士在人工智能驱动的医学影像领域做出了重大贡献，专注于标注数据生成、图像质量增强、疾病诊断等。他的研究成果发表在《IEEE Journal of Biomedical and Health Informatics》，《IEEE Transactions on Computational Imaging》，《 Computer in Biology and Medicine》，《Academic Radiology》等国际知名期刊上。
除了研究之外，Monkam博士还致力于分享知识，促进未来学者的成长，并加强不同文化和背景的人之间的相互理解。他指导了许多学生，并积极参与青年赋权和可持续发展倡议。
Research direction/研究方向：
AI foundation models and applications in healthcare
Medical imaging, clinical decision support systems
Image processing and analysis
Deep learning and its applications
人工智能基础模型及其医疗健康应用
医学影像、临床决策支持系统
图像处理和分析
深度学习及其应用。
Recent research achievements / 近期研究成果
[1] Yohana Malagila Raphael, Patrice Monkam* et al. “Deep Generative Models in Echocardiography: A Scoping Review of Trends and Future Perspectives”, Measurement in Science and Technology, 2025.
[2] Patrice Monkam, Xu Wang et al. “Deep Learning-Driven Innovations in Echocardiography: Taxonomy, Clinical Impact, Challenges, and Opportunities”, Annals of Biomedical Engineering, 2025.
[3] Patrice Monkam, Xu Wang et al. “Efficient temporal feature utilization in ultrasound videos: a multi-channel deep learning framework for enhanced breast lesion differentiation”, BMC Cancer 25, 1744, 2025.
[4] Xu Wang, Patrice Monkam* et al. “MOM-BUS: a multi-output framework for precise breast lesion segmentation in ultrasound images”, Measurement in Science and Technology, 36 055702, 2025.
[5] Patrice Monkam, Wenkai Lu, Songbai Jin, “Annotation Cost Minimization for Ultrasound Image Segmentation using Cross-domain Transfer Learning”, in IEEE Journal of Biomed. Health and Informatics, pp. 1-11, 2023.
[6] Yuxuan Li, Wenkai Lu, Patrice Monkam et al. LVSnake: Accurate and robust left ventricle contour localization for myocardial infarction detection, Biomedical Signal Processing and Control, Vol 85, 2023.
[7] Patrice Monkam, Wenkai Lu, Songbai Jin et al., “US-Net: A Lightweight Network for Simultaneous Speckle Supression and Texture Enhancement in Ultrasound Images”, in Computers in Biology and Medicine, Vol 152, 2022.
[8] Patrice Monkam, Songbai Jin, Wenkai Lu, “An efficient annotated data generation method for echocardiographic image segmentation”, in Computers in Biology and Medicine, Vol 149, 2022.
[9] Patrice Monkam, Jing Wu, Wenkai Lu et al., “EasySpec: Automatic Specular Reflection Detection and Suppression from Endoscopic Images”, in IEEE Transactions on Computational Imaging, Vol.7, pp. 1031-1043, 2021.
No dream is too big, and no dreamer is too small. Believe in yourself, work hard, stay persistent—anything is achievable.
梦想不分大小，追梦之人亦不分渺小。心怀信念，勤奋努力，持之以恒，一切皆有可能。
电子邮箱/Email address: monkampatrice@bmie.neu.edu.cn , patrice123china1@gmail.com
联系电话/Phone number: 13124230161