邮箱：jiajia.luo@pku.edu.cn

地址：北京市海淀区学院路38号

个人简介：

罗家佳，美国密西根大学工学博士，北京大学临床医学高等研究院博士生导师。IEEE生物医学工程学会会员，中国光学学会生物医学光子学专委会委员，中国生物医学工程学会资深会员，《BMC Biomedical Engineering》期刊编委。主要从事智能医学、生物力学、生物医学影像及深度学习的研究。课题组依托北京大学临床医学高等研究院建立了基于力学与大数据驱动的智能医学研究平台。曾获ASME博士竞赛奖、密西根大学临床与健康职业发展奖等。迄今，在其研究领域一流期刊如IEEE TMI, Photoacoustics, Journal of Biomechanics等发表30余篇学术论文，授权发明专利十余项。

主要研究方向：

智能医学、生物力学、生物医学影像、深度学习

代表性科研项目：

主持国家重点研发计划项目课题、国家自然科学基金面上项目、北京大学临床医学+X青年专项、北大百度基金等多个科研项目。

10篇代表性论文：

1. He D, Zhou JS, Shang XY, Tang XY, Luo JJ*, Chen SL* (2023). De-noising of Photoacoustic Microscopy Images by Attentive Generative Adversarial Network. IEEE Transactions on Medical Imaging, DOI: 10.1109/TMI.2022.3227105.

2. Luo JJ*, Swenson CW, Betschart C, Feng F, Wang H, Ashton-Miller JA, DeLancey JOL (2023). Comparison of in vivo Visco-Hyperelastic Properties of Uterine Suspensory Tissue in Women with and without Pelvic Organ Prolapse. Journal of the Mechanical Behavior of Biomedical Materials, 137: 105544.

3. Edwards LA, Feng F, Iqbal M, Fu Y, Sanyahumbi A, Hao S, McElhinney DB, Ling XB, Sable C, Luo JJ* (2022). Machine Learning for Pediatric Echocardiographic Mitral Regurgitation Detection. Journal of the American Society of Echocardiography, DOI: doi.org/10.1016/j.echo.2022.09.017.

4. He D, Shang XY, Luo JJ* (2022). Adherent Mist and Raindrop Removal from a Single Image Using Attentive Convolutional Network. Neurocomputing, 505: 178-187.

5. Feng F, Liang SQ, Luo JJ*, Chen SL* (2022). High-Fidelity Deconvolution for Acoustic-Resolution Photoacoustic Microscopy Enabled by Convolutional Neural Networks. Photoacoustics, 26:100360.

6. Feng F, Ashton-Miller JA, DeLancey JOL, Luo JJ* (2022). Three-dimensional Self Super-Resolution for Pelvic Floor MRI Using a Convolutional Neural Network with Multi-Orientation Data Training. Medical Physics, 49:1083–1096.

7. Wang XY, He D, Feng F, Ashton-Miller JA, DeLancey JOL, Luo JJ* (2021). Multi-label Classification of Pelvic Organ Prolapse Using Stress Magnetic Resonance Imaging with Deep Learning. Int Urogynecol J, 33:2869-2877.

8. Zhou JS, He D, Shang XY, Guo ZD, Chen SL*, Luo JJ* (2021). Photoacoustic Microscopy with Sparse Data by Convolutional Neural Networks. Photoacoustics, 22:100242.

9. Feng F, Ashton-Miller JA, DeLancey JOL, Luo JJ* (2020). Convolutional Neural Network-Based Pelvic Floor Structures Segmentation Using Magnetic Resonance Imaging in Pelvic Organ Prolapse. Medical Physics, 47(9): 4281-4293.

10. Luo JJ*, Chen L, Fenner DE, Ashton-Miller JA, DeLancey JOL (2015). A Multi-compartment 3-D Finite Element Model of Rectocele and Its Interaction with Cystocele. J Biomech, 48(9), 1580-1586.