师资队伍

教授

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  • 姓名:吕骏

  • 职称:教授    

  • 所在院系:人工智能系

  • 最后学位:博士

  • 最后学历:博士研究生

  • 最后毕业院校:北京大学

  • 研究方向:医学图像处理,深度学习

  • 联系方式:ljdream0710@pku.edu.cn

个人简介

   吕骏:工学博士,现为烟台大学计算机与控制学院讲师, 国际医学磁共振学会(ISMRM)会员。于2018年7月毕业于北京大学。曾在2017年10月在北京大学的资助下赴美国University of California, Los Angeles进行博士联合培养半年,在访问期间,发表多篇高水平学术论文,取得了较好的成果。主要从事医学图像处理和深度学习等领域的研究工作,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。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。更多个人最新信息请关注 https://ljdream0710.github.io/

工作经历:        
2018.7-至今   烟台大学,   讲师/副教授/教授
主讲课程:
计算机组成原理、模式识别、大学计算机基础
主要科研成果
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 freebreathing 3D abdominal MRI using stacked convolutional autoencoders[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

主要教研成果:

[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

指导研究生情况: 

指导在读研究生3

招生要求:

1. 性格开朗,善于合作

2. 刻苦勤奋,脚踏实地

3. 英文良好,熟练掌握python & Matlab


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