吕骏，女，博士，毕业于北京大学，现任烟台大学计算机与控制学院讲师。
研究于医学图像处理，深度学习。
中文名吕骏
北京大学
博士
教师
烟台大学计算机与控制学院讲师
教育经历
2017.10-2018.04加州大学洛杉矶分校，访问学生，导师： Peng Hu
2013.09-2018.07北京大学(直博)，博士，导师：张珏
2009.09-2013.07西安电子科技大学，学士
工作经历
2018.7-至今烟台大学，讲师
主要成就
科研成就
期刊论文
2021年
1.Simultaneous Image Reconstruction and Lesion Segmentation in Accelerated MRI Using Multi-Tasking Learning
B. Sui#, J. Lv*, X. Tong, Y. Li, C. Wang.
Medical Physics, 2021
2.High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss
G. Li#, J. Lv*, X. Tong, C. Wang and G. Yang,
IEEE Access, vol. 9, pp. 105951-105964, 2021
3.A Modified Generative Adversarial Network Using Spatial and Channel-Wise Attention for CS-MRI Reconstruction
G. Li#, J. Lv* and C. Wang
IEEE Access, vol. 9, pp. 83185-83198, 2021
4.Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction
J Lv, G Li, X Tong, W Chen, J Huang, C Wang, G Yang
Computers in Biology and Medicine, 2021: 104504.
5.Which GAN? A comparative study of generative adversarial network-based fast MRI reconstruction
Lv J, Zhu J, Yang G.
Philosophical Transactions of the Royal Society A, 2021, 379(2200): 20200203.
6.PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction
Lv J, Wang C, Yang G.
Diagnostics, 2021, 11(1): 61.
2020年
1.Parallel imaging with a combination of sensitivity encoding and generative adversarial networks.
Lv J, Wang P, Tong X, Wang CY.
Quantitative Imaging in Medicine and Surgery (QIMS), 2020, 10(12): 2260.
2020年12月期刊封面
2018年及之前
1. Lv J, Chen K, Yang M, et al. Reconstruction of undersampled radial free‐breathing 3D abdominal MRI using stacked convolutional auto‐encoders[J]. Medical physics, 2018, 45(5): 2023-2032.
2. Lv J, Yang M, Zhang J, et al. Respiratory motion correction for free-breathing 3D abdominal MRI using CNN-based image registration: a feasibility study[J]. The British journal of radiology, 2018, 91: 20170788.
3. Lv J, Huang W, Zhang J, et al. Performance of U-net based pyramidal lucas-kanade registration on free-breathing multi-b-value diffusion MRI of the kidney[J]. The British journal of radiology, 2018, 91(1086): 20170813.
4. Lv J, Liu D, Ma J, et al. Graph theoretical analysis of BOLD functional connectivity during human sleep without EEG monitoring[J]. PloS one, 2015, 10(9): e0137297.
5. Zhang C#, Lv J#, Zhou J, et al. The effect of CPAP treatment on EEG of OSAS patients[J]. Sleep and Breathing, 2015, 19(4): 1121-1124. (Co-first Author).
会议论文
1. Jun Lv, Chengyan Wang, Guang Yang, “PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction.” International Society for Magnetic Resonance in Medicine (ISMRM) 2021 Annual meeting, May 15-20.
2. Jun Lv, Peng Wang, Chengyan Wang, “Parallel Imaging with a Combination of SENSE and Generative Adversarial Networks (GAN).” International Society for Magnetic Resonance in Medicine (ISMRM) 2020 Annual meeting, April 18-23.
3. Jun Lv, Jue Zhang, “Reconstruction of Undersampled Radial Free-breathing 3D Abdominal MRI using Conditional Generative Adversarial Network,” ISMRM 27th Annual Meeting 2019 Montreal, Canada, May 10-13, 2019.
4. Jun Lv, Kun Chen, Ming Yang, Jue Zhang and Xiaoying Wang, “Reconstruction of highly accelerated free-breathing 3D abdominal MRI using Stacked Convolutional Auto-Encoder Network,” ISMRM 25th Annual Meeting 2017 Honolulu, USA, April 22-27, 2017.
5. Jun Lv, Wenjian Huang, Jue Zhang and Xiaoying Wang, “Motion Correction of Multi-b-value Diffusion-Weighted Images in the Kidney by Pyramidal Lucas-Kanade Registration,” ISMRM 25th Annual Meeting 2017 Honolulu, USA, April 22-27, 2017.
6. Jun Lv, Ming Yang, Jue Zhang and Xiaoying Wang, “Image-Based Non-Rigid Motion Correction for Free-breathing 3D Abdominal MRI,” ISMRM 25th Annual Meeting 2017 Honolulu, USA, April 22-27, 2017.
7. Jun Lv, Dongdong Liu, Xiaoying Wang and Jue Zhang, “Brain activation and paralimbic-limbic cortex functional connectivity during human slow wave sleep an fMRI study,” ISMRM 22nd Annual Meeting 2014 Milan, Italy, May 10-16, 2014.
主持课题
[1] 基于深度学习的自由呼吸下腹部磁共振图像运动校正方法研究，国家自然科学青年基金，主持，在研，25万元
教研成果
[1] 省级大学生创新训练项目， 基于半监督对抗学习多模态MRI超分辨率重建， 项目编号：S202111066025
主持1项国家自然科学基金青年项目、参与多项国家自然科学基金金的研究工作，并且在《Medical Physics》、《Sleep Breathing》、《British Journal of Radiology》等著名期刊和国际会议发表高水平学术论文10余篇。
人才培养
计算机组成原理、模式识别、大学计算机基础
荣誉表彰
并获得2013-2017连续四年北京大学校长奖学金，2010-2012连续两年国家奖学金。
社会任职
国际医学磁共振学会(ISMRM)会员
参考资料1.吕骏·烟台大学
