姓名： 齐守良
工作单位： 医学与生物信息工程学院
职称： 副教授，博士生导师
学历： 博士
办公室： 生科楼 B517
电话：
电子邮箱： qisl@bmie.neu.edu.cn

个人简介：
齐守良，医学与生物信息工程学院副教授，博士生导师，医学成像与智能分析教育部工程研究中心副主任，生物医学影像系主任，东北大学曙光学者。2007年获上海交通大学博士学位。2007-2008年间，在GE Global Research Center从事MRI系统设计的研发工作。2012-2013年间多次访问美国维恩州立大学和荷兰埃因霍温科技大学开展合作研究。2014-2015年间，在荷兰埃因霍温科技大学和Kempenhaeghe癫痫医学中心完成为期一年的国家公派访问学者研究。2008年至今，工作于东北大学医学与生物信息工程学院，致力于创新人才培养和前沿科学研究。担任辽宁省医学信息与健康工程学会理事，辽宁省神经科学学会理事，CCF YOCSEF沈阳学术委员会委员，中国抗癌协会肿瘤人工智能专业委员会委员，多个国际国内期刊审稿人。
目前，研究方向包括智能影像组学、人脑连接组学、未来智能科学和Nano-Bio-Info-Cogn汇聚科学等。主持完成国家自然科学基金、辽宁省自然科学基金等项目近10项，参加国家支撑计划重点项目等多项，累计在国内外重要期刊发表论文100多篇，并申请8项专利。获得“上海市优秀博士论文”、“全国优秀博士论文提名奖”、“GRC–Technology Impact Award”、“教育部高等学校科学研究优秀成果奖（自然科学奖）二等奖”、“东北大学优秀指导教师”、“东北大学青年岗位能手”和“东北大学优秀教师”等荣誉与奖励。








校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
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2020-02-13 硕士生杜冉同学作为第一作者的研究论文Identification of COPD from Multi-view Snapshots of 3D Lung Airway Tree Via Deep CNN被期刊IEEE Access录用发表。该论文表明，仅仅利用由CT图像中提取的3D气道树的二维快照（三个角度），训练深度卷积神经网络，即可识别慢性阻塞性肺病（COPD）。这可能说明两点：（1）COPD会使得气道树发生不同位置、不同程度的形态学改变；（2）深度CNN能够抽象表达这种复杂的形态学改变，从而构建出较为准确的识别模型。另外，还使用贝叶斯优化算法优化CNN架构和超参数，使用Grad-CAM对深度CNN网络的决策原因进行了可视化。

2020-02-05 与李晨副教授合作的研究论文A review for cervical histopathology image analysis using machine vision approaches在期刊Artificial Intelligence Review在线发表。一篇42页的长文，综述了近年来利用机器视觉方法对宫颈组织病理学图像进行分析的重要研究进展。

2020-01-01 与滕月阳副教授合作的研究论文A Framework for Least Squares Nonnegative Matrix Factorizations with Tikhonov Regularization在期刊Neurocomputing在线发表。这是对非负矩阵分解的又一数学理论性贡献。

---------------------------2019-2020年分割线---------------------------

2019-12-15 齐守良副教授参加组织沈阳地区“智能医学与生物医学工程”研究生学术论坛，并作主题报告。

2019-12-12 与齐林副教授合作的研究论文Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI在期刊IEEE Access在线发表。CcGAN已经成为图像分割工作中的重要主流神经网络。

2019-12-06 生物医学影像学系30名研究生（包括5名国际留学生）完成硕士学位论文答辩。

2019-12-03 齐守良副教授的研究论文（Multiple Frequency Bands Analysis of Large Scale Intrinsic Brain Networks and Its Application in Schizotypal Personality Disorder）获得2019年辽宁省自然科学学术成果奖（三等奖）”。

2019-11-22 齐守良副教授组织主持以CCF YOCSEF沈阳为主办方的“医学影像AI创新发展”技术论坛，论坛围绕“十年内，医学AI图像可解决什么问题？”等精彩议题展开了引导和思辨。
2019-11-17 应魏国辉博士邀请，齐守良副教授在山东中医药大学理工学院为生物医学工程专业19级本科学生做了“脑网络与脑模型”的报告。

2019-11-14 齐守良副教授参加生物医学工程论坛，并担任医学影像分论坛Session2主持，临床专科智能化分论坛上半场主持。

2019-11-10 齐守良指导硕士研究生Patrice Monkam同学完成的《Automatic pulmonary micro-nodules classification in CT images using deep learning》获得2019年东北大学优秀硕士论文，并被推荐参评辽宁省优秀硕士学位论文。

2019-10-15 齐守良副教授指导的硕士研究生顾庆涛同学以第一作者撰写的学术论文被Biomedical Engineering Online杂志录用发表。该论文题目是，Structural and functional alternations of the tracheobronchial tree after left upper pulmonary lobectomy for lung cancer。利用CT图像提取的气道树和CFD仿真计算，对因肺癌而进行左肺上叶切除前后气道树的结构和功能改变进行了研究。

2019-08-26 齐守良副教授作为项目负责人的基本业务科研费基地跃升项目获得批准，以此为依托全力建设医学成像与智能分析教育部工程研究中心。

2019-08-22 齐守良副教授访问大连大学附属中山医院，与伍建林院长团队进行学术交流，作题为“AI in Lung image”的学术报告。

2019-08-20 齐守良副教授参加2019年中国生物医学工程学会大连青年论坛，作题为“Lung image computing”的学术报告。

2019-08-16 齐守良副教授参加中国肿瘤学大会（重庆），当选中国抗癌协会肿瘤人工智能专业委员会委员。

2019-08-10 齐守良副教授访问母校青岛科技大学，并作题为“汇聚：传热传质、医学影像与机器学习”的学术报告。

2019-07-28 博士生张白桦同学撰写的集成学习论文被IEEE Access录用，该论文的贡献在于，提出了一种集成学习器思路，将具有不同架构的、多种多样的CNN学习器集成，每个学习器具有不同的学习perspectives和不同的、学习到的肺结节特征。

2019-07-22 齐守良副教授参与合作的论文在Breast Cancer Research and Treatment（IF: 3.475）杂志上在线发表，题目是：Non?contrast MRI for breast screening: preliminary study on detectability of benign and malignant lesions in women with dense breasts。

2019-07-21 齐守良副教授参加CCF YOCSEF沈阳举办的精英训练营之领导力锻造-暨AC扩大会议，第二次被选举为YOCSEF沈阳学术委员会AC委员。

2019-07-20 在2019年07月20日召开的第二届辽宁省慢性呼吸系统疾病诊疗与智能辅助论坛上，齐守良副教授受邀作题为“Lung Imaging: Will AI make us smarter?”的大会主题报告。该主题报告汇总了近年来齐守良副教授团队在肺部影像人工智能（AI）研究领域中所取得的进展和成果。多种深度学习、迁移学习、生成对抗学习、集成学习、多实例学习等AI创新方法被提出并应用于肺癌和慢性阻塞性肺病（COPD）的探测、诊断和预后预测等。

2019-07-11 与李晨副教授合作的两篇论文被IEEE Access录用且在线发表：（1）Microscopic Machine Vision Based Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework；（2）A State-of-the-art Survey for Microorganism Image Segmentation Methods and Future Potential。

2019-05-07 与滕月阳副教授合作的研究论文A novel framework for the NMF methods with experiments to unmixing signals and feature representation被Journal of Computational and Applied Mathematics期刊录用发表。

2019-04-26 齐守良副教授指导的2018级本科毕业设计学生朱云开同学以第一作者的论文被Frontiers in pyschiatry (Q2, IF 2.9)接收发表。

2019-04-16 齐守良副教授协助指导的博士生赵歆卓同学的一篇论文被Journal of X-Ray Science and Technology接收发表。

2019-04-12 与滕月阳副教授合作的研究论文Graph Regularized Sparse Autoencoders with Nonnegativity Constraints被期刊Neural Processing Letters录用发表。

2019-04-11 齐守良副教授团队在Biomedical Engineering Online期刊上发表的论文被列入Top three most accessed articles。自2019年01月3日发表后，已经被获取917次（截止至2019年4月11日）。该论文提出了一种基于聚类+相关图像处理技术方法，快速生成训练数据集，从而利用该训练集训练一个CNN，实现肺实质分割。

2019-04-11 齐守良副教授组织邀请美国伦斯勒理工学院（Rensselaer Polytechnic Institute, RPI）生物医学影像中心主任王革教授访问东北大学，进行了题为“用于医学成像的人工智能-Artificial Intelligence for Medical Imaging”的学术报告。http://www.bmie.neu.edu.cn/2019/0415/c562a100622/page.htm

2019-03-15 与丁辰教授合作的研究论文Co-evolution of acetylomes and fungal pathogenicities in major deadly fungal pathogens被Communications Biology期刊录用。

2019-03-15 齐守良副教授申报的中央高校基本业务科研费项目“基于磁共振影像的精神分裂型人格障碍脑网络与脑模型研究”获得国家项目培育基金项目资助，资助金额13万元，周期为2年。

---------------------------2018-2019年分割线---------------------------

2018-12-26 齐守良副教授指导的国际留学生Patrice Monkam同学完成的论文在IEEE Access正式上线，这是首次将多接收野3D深度CNN+集成学习的方法用于微肺结节（Micro-nodule,<3.0 mm）和非结节的分类。https://ieeexplore.ieee.org/document/**

2018-12-18 齐守良副教授指导的研究生徐明杰同学完成的论文（Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset）被杂志Biomedical Engineering Online接收，该论文提出了一种基于聚类+相关图像处理技术方法，快速生成训练数据集，从而利用该训练集训练一个CNN，实现肺实质分割。

2018-11-29 齐守良副教授作为作者参与的一篇论文在BMC Cancer杂志（影响因子3.288）在线发表，具体信息：Yunhong Tian, Jianlin Wu, Cristian Chagas, Yichao Du, Huan Lyu, Yunhong He, Shouliang Qi, Yong Peng, Jiani Hu, CDCA5 Overexpression is an Indicator of Poor Prognosis in Patients with Hepatocellular Carcinoma (HCC), BMC Cancer, 2018, 18:1187.。

2018-11-21 齐守良副教授受邀访问北京宣武医院神经内科，开展EEG+TMS的国际合作项目交流。

2018-11-15 齐守良副教授受邀访问广州医科大学附属第一医院和广州市第一人民医院，开展肺部影像组学和脑科学研究方面的合作交流。

2018-11-10 齐守良副教授受邀参加在大连医科大学举办的第三届辽宁省神经科学学会年会，被聘为第三届理事会理事，任期四年。

2018-11-01 齐守良副教授指导的研究生高青君同学、协助指导的博士生张白桦同学分别获得2018年度硕士和博士国家奖学金。

2018-10-20 齐守良副教授受邀参加辽宁省国际肺癌高峰论坛，暨辽宁省慢性呼吸系统疾病诊疗与智能辅助论坛，并作题目为“Lung image computing: from CAD, CFD to Radiomics”的大会报告。报告分成三个部分：CAD；CFD和Radiomics，汇总了齐守良副教授团队在肺部影像计算方面近年来的工作和进展，共计发表文章近20篇，申请专利7项。

2018-09-29 齐守良副教授发表的一篇论文获得2018年辽宁省自然科学学术成果奖（学术论文）三等奖，该论文题目是Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography?，发表在Frontiers in Computational Neuroscience期刊上，被阅读3108次，它引次数4次，其中两次引用来自Human Brain Mapping期刊论文。

2018-09-25 齐守良副教授受邀参加中荷学院-沈阳军区总医院医学工程学术论坛暨“人工智能视角下的生物医学信息学”研讨会，以“Brain network and brain model - new progresses”为题目，报告了课题组在多发性硬化症、临床前抑郁症、分裂型人格障碍和结构-功能脑网络、脑模型构建方面的进展。链接：http://neunews.neu.edu.cn/campus/xueshu/2018-09-29/64080.html/

2018-09-15 齐守良副教授在东北大学学报（ 2018年 39卷 9期；刊出日期：2018-09-15 ）发表论文两篇。其中，作为第一作者的第一篇题目是，多发性硬化症患者DTI图像定量化分析；作为第二作者的第二篇论文题目是，基于相似性度量的肺结节图像检索算法。链接：http://xuebao.neu.edu.cn/natural/CN/volumn/volumn_1534.shtml

2018-09-10 齐守良副教授获得2016-2018年度东北大学优秀教师荣誉称号，该奖项每2年颁发一次，本次全校共36名教师获奖。这是齐守良副教授加入东北大学10年来第二次获得该奖项，第一次获奖时间是2010-2012年度。

2018-08-05 齐守良副教授指导的博士生张白桦同学在Biomed Research Internation杂志上发表关于人体气道树内颗粒沉降的研究论文。该研究揭示了不同直径（0.1-10.0微米）颗粒在正常人、气管支气管变异被试、COPD患者气道树中的沉降规律。文中的方法和发现可帮助理解呼吸疾病病因，提高吸入药物效率。链接：https://www.hindawi.com/journals/bmri/2018/**/

2018-08-03 齐守良副教授团队提出了一种针对大规模内在脑网络的多频段分析方法，即利用Group ICA由fMRI图像数据中提取包括默认模式网络（DMN）、背侧注意网络（DAN）、控制执行网络（CEN）、突显网络（SN）、感觉运动网络（SMN）、视觉网络（VN）和边缘系统网络（LN） 在内的七个内在脑网络, 在Slow5、Slow4和常规低频（<0.1 Hz）三个频段内分析各脑网络的ALFF和fALFF。发现这七个网络可以分成三类：高级认知网络、初级感觉运动网络和边缘网络，三类网络的fALFF依次降低，对Slow5和Slow4两个频段都存在这种结果。将这种方法应用到分裂型人格障碍（SPD）研究，发现SPD患者DMN、DAN和CEN的fALFF在Slow5频段内高于正常被试，而在Slow4频段低于正常被试；SPD患者感觉运动网络和视觉网络的fALFF在Slow5频段高于正常被试，边缘网络fALFF在Slow5和Slow4频段内均高于正常被试。这些发现可说明，SPD患者的高级认知功能overactive，而初级运动和感觉网络被抑制或破坏。提出的这种多频段分析方法可以帮助区分人脑中的不同网络或振荡子，通过确定它们的主控频段来揭示这些网络的微小改变，具有解读神经病理破坏的潜在能力。相关工作在Frontiers in Compuational Neuroscience杂志上发表。链接：https://doi.org/10.3389/fncom.2018.00064

2018-07-20 作为副主任组织的医学成像与智能分析教育部工程研究中心建设项目通过验收； http://neunews.neu.edu.cn/campus/xueshu/2018-07-21/63467.html

2018-07-16 指导的国际留学生Patrice Monkam同学完成的论文在Biomedical Engineering Online正式上线，这是首次将深度CNN用于微肺结节（Micro-nodule,<3.0 mm）和非结节的分类；https://link.springer.com/article/10.1186/s12938-018-0529-xl

2018-06-13 作为骨干参与的国家重点研发计划在辽宁省科学技术情报研究所完成申报答辩；

2018-06-06 作为课题负责人的国家重点研发计划在北京市网络评审中心完成申报答辩；

2018-06-04 生物医学影像学系本科学士学位论文答辩会顺利结束，指导的学生1优2良2中1及格，2位保送上海交通大学读研，1位保送天津大学读研，1位东北大学读研，1位出国，1位就业；

2018-05-31 主讲的全英文研究生课程《医学成像技术》和《医学成像系统实践》顺利结课 ；

2018-05-22 邀请荷兰埃因霍温科技大学Ossenblok教授访问中荷学院； http://www.bmie.neu.edu.cn/index.php/newmain/view/1082

2018-05-20 邀请美国维恩州立大学胡嘉尼教授访问中荷学院； http://www.bmie.neu.edu.cn/index.php/newmain/view/1070

2018-05-18 齐守良副教授作为第二负责人的项目“产学研医协同创新模式下生物医学工程人才能力培养的研究与实践”获得2018年辽宁省普通高等教育本科教学成果奖二等奖； 链接：http://www.lnen.cn/zwgk/gsgg/290600.shtml










校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
Copyright ?Northeastern University | Site Designer: Network Center
Welcome to Northeastern University!

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教学课程


医学成像技术与系统（双语）
64
本科生

脑科学基础（双语）
16
本科生

Design Centered Learning:Imaging Processing for Pathology
54
本科生

学术道德与论文写作
4/16
研究生

生物医学工程前沿
32
研究生

医学成像技术（全英文）
32
研究生

医学成像系统应用实践
32
研究生

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校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
Copyright ?Northeastern University | Site Designer: Network Center
Welcome to Northeastern University!

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1.文章发表（按发表时间排序，共 >100 篇）

2020年
[1]Caiwen Xu, Shouliang Qi*, Jie Feng, Shuyue Xia, Yan Kang, Yudong Yao, Wei Qian, DCT-MIL: Deep CNN transferred multiple instance learning for COPD identification using CT images, Physics in Medicine and Biology, 2020, Accepted.
[2]Ran Du, Shouliang Qi*, Jie Feng, Shuyue Xia*, Yan Kang, Wei Qian, Yudong Yao, Identification of COPD from Multi-view Snapshots of 3D Lung Airway Tree Via Deep CNN, IEEE Access, 2020, Accepted.
[3]Chen Li, Hao Chen, Xiaoyan Li, Ning Xu, Zhijie Hu, Xue Dan, Shouliang Qi, He Ma, Le Zhang, Hongzan Sun, A review for cervical histopathology image analysis using machine vision approaches, Artificial Intelligence Review, 2020, DOI: 10.1007/s10462-020-09808-7.
[4]Yueyang Teng, Shouliang Qi, Fangfang Han, Yudong Yao, Fenglei Fan, Qing Lyu, Ge Wang, A Framework for Least Squares Nonnegative Matrix Factorizations with Tikhonov Regularization, Neurocomputing (2020), doi: https://doi.org/10.1016/j.neucom.2019.12.103.

2019年
[1]Yunkai Zhu, Shouliang Qi*, Bo Zhang, Dianning He, Yueyang Teng, Jiani Hu, Xinhua Wei*, Connectome-Based Biomarkers Predict Subclinical Depression and Identify Abnormal Brain Connections With the Lateral Habenula and Thalamus, Frontiers in Psychiatry, 2019, 10:371. doi: 10.3389/fpsyt.2019.00371.
[2]Patrice Monkam, Shouliang Qi*, He Ma, Weiming Gao, Yudong Yao, Wei Qian, Detection and classification of pulmonary nodules using convolutional neural networks: A survey, IEEE Access, 2019, 7:78075 - 78091.
[3]Xinzhuo Zhao, Shouliang Qi*, Baihua Zhang, He Ma, Yudong Yao, Jianjun Sun, Wei Qian, Deep CNN models for Pulmonary Nodule Classification: Model Modification, Integration, and Transfer Learning, Journal of X-ray Science and Technology, 2019, 27(4):615-629.
[4]Patrice Monkam, Shouliang Qi*, Mingjie Xu, Haoming Li, Fangfang Han,Yueyang Teng, Wei Qian, Ensemble learning of multiple-view 3D-CNNs model for micro-nodules identification in CT images, IEEE Access, 2019, 7:5564 - 5576.
[5]Mingjie Xu, Shouliang Qi*, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, and Wei Qian, Segmentation of lung parenchyma in CT images using a simplified CNN trained with the clustering algorithm generated dataset, Biomedical Engineering Online, 2019, 18:2.
[6]Baihua Zhang, Shouliang Qi*, Patrice Monkam, Chen Li, Fan Yang, Yudong Yao, Wei Qian, Ensemble learners of multiple deep CNNs for pulmonary nodules classification using CT images, IEEE Access, 2019, 7:110358-110371.
[7]Qingtao Gu, Shouliang Qi*, Yong Yue, Jing Shen, Baihua Zhang, Wei Sun, Wei Qian, Mohammad Saidul Islam, Suvash C Saha, Jianlin Wu, Structural and functional alternations of the tracheobronchial tree after left upper pulmonary lobectomy for lung cancer, BioMedical Engineering OnLine, 2019, 18:105.
[8]齐守良, 张波, 李萌, 伍建林, 基于图论的SPD患者多加权结构脑网络研究, 东北大学学报, 2019, 40 (8): 1093-1098.
[9]Yanjian Li, Hailong Li, Mingfei Sui, Minghui Li, Jiamei Wang, Yang Meng, Tianshu Sun, Qiaojing Liang, Chenhao Suo, Xindi Gao, Chao Li, Zhuoran Li, Wei Du, Baihua Zhang, Sixiang Sai, Zhang Zhang, Jing Ye, Hongchen Wang, Shang Yue, Jiayi Li, Manli Zhong, Changbin Chen, Shouliang Qi, Ling Lu, Dancheng Li, Chen Ding*, Fungal acetylome comparative analysis identifies an essential role of acetylation in human fungal pathogen virulence, Communications Biology 2, Article number:154 (2019).
[10]Yueyang Teng, Yudong Yao, Shouliang Qi, Chen Li, Lisheng Xu, Wei Qian, Fenglei Fan, Ge Wang, A novel framework for the NMF methods with experiments to unmixing signals and feature representation, Journal of Computational and Applied Mathematics, 362 (2019) 205–218.
[11]Yueyang Teng, Yichao Liu, Jinliang Yang, Chen Li, Shouliang Qi, Yan Kang, Fenglei Fan, Ge Wang, Graph Regularized Sparse Autoencoders with Nonnegativity Constraints, Neural Processing Letters, 2019, 50:247–262.
[12]Yangyang Bu, Jun Xia, Bobby Joseph, Xianjing Zhao, Maosheng Xu, Yingxing Yu, Shouliang Qi, Kamran A. Shah,Shiwei Wang, Jiani Hu, Non?contrast MRI for breast screening: preliminary study on detectability of benign and malignant lesions in women with dense breasts, Breast Cancer Research and Treatment, 2019, https://doi.org/10.1007/s10549-019-05342-5.
[13]Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng, A State-of-the-art Survey for Microorganism Image Segmentation Methods and Future Potential, IEEE Access, 2019.
[14]Chen Li; Fanjie Kong; Kai Wang; Aidong Xu; Gexiang Zhang; Ning Xu; Zhihua Liu; Haifeng Guo; Xue Wang; Kuan Liang; Jianying Yuan; Shouliang Qi; Tao Jiang, Microscopic Machine Vision Based Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework, IEEE Access, 2019.
[15]Lin Qi, Haoran Zhang, Wenjun Tan, Shouliang Qi, Lisheng Xu, Yudong Yao, and Wei Qian, Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI, IEEE Access, 2019, 7:172305-172320.

2018年
[1]Shouliang Qi*, Qingjun Gao, Jing Shen, Yueyang Teng, Xuan Xie, Qing Zhang, Jianlin Wu, Multiple frequency bands analysis of large scale intrinsic brain networks and its application in schizotypal personality disorder, Frontiers in Computational Neuroscience, 2018, 12:64.
[2]Baihua Zhang, Shouliang Qi*,Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu, Particle disposition in tracheobronchial tree of subjects with tracheal bronchus, COPD simulated by CFD, BioMed Research International, 2018, Article ID: **.
[3]Patrice Monkam, Shouliang Qi*, Mingjie Xu, Fangfang Han, Xinzhuo Zhao, Wei Qian, CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images, Biomedical Engineering Online, 2018, 17: 96.
[4]Xinzhuo Zhao, Liyao Liu, Shouliang Qi*,Yueyang Teng, Jianhua Li, Wei Qian, Agile convolutional neural network for pulmonary nodule classification using CT images, International Journal of Computer Assisted Radiology and Surgery, 2018, 43(4): 585-595..
[5]Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu, Airflow in tracheobronchial tree of subjects with tracheal bronchus simulated using CT image based models and CFD method, Journal of Medical Systems, 2018, 42(4):65.
[6]齐守良, 李萌, 高青君, 余晖, 多发性硬化症患者DTI图像定量化分析, 东北大学学报, 2018, 39 (9): 1232-1237.
[7]Yunhong Tian, Jianlin Wu, Cristian Chagas, Yichao Du, Huan Lyu, Yunhong He, Shouliang Qi, Yong Peng, Jiani Hu, CDCA5 overexpression is an indicator of poor prognosis in patients with hepatocellular carcinoma (HCC), BMC Cancer, 2018, 18:1187.
[8]魏国辉, 齐守良, 钱唯, 张魁星, 基于相似性度量的肺结节图像检索算法, 东北大学学报, 2018, 39 (9): 1226-1231.
[9]Guohui Wei, Hui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma, Content-based image retrieval for lung nodule classification using texture features and learned distance metric, Journal of Medical Systems, 2018, 42:13.
[10]Guohui Wei, He Ma*, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu, Lung nodule classification using local kernel regression models with out-of-sample extension, Biomedical Signal Processing and Control, 2018, 40:1-6.
[11]Xiaowen Hou, Yueyang Teng, Yan Kang, Shouliang Qi, A separable quadratic surrogate total variation minimization algorithm for accelerating accurate CT reconstruction from few-views and limited-angle data, Medical physics, 2018, 2018, 45(2):535-548.
[12]Hang Sun, Hong Li, Shuang Si, Shouliang Qi, Wei Zhang, He Ma, Siqi Liu, Yingxue Li and Wei Qian, Performance evaluation of breast cancer diagnosis with mammography, ultrasonography and magnetic resonance imaging, Journal of X-Ray Science and Technology, 2018, 26(5): 805-813.
[13]Chen Li, Ning Xu, Tao Jiang, Shouliang Qi, Fangfang Han, Wei Qian, Xin Zhao, A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks, In: Pietka E., Badura P., Kawa J., Wieclawek W. (eds) Information Technology in Biomedicine. ITIB 2018. Advances in Intelligent Systems and Computing, vol 762. Springer, Cham.
[14]Kai Wang, Haifeng Guo, Chen Li, Fanjie Kong, Aidong Xu, Zhihua Liu, and Shouliang Qi, Degradation monitoring of low-voltage electromagnetic coil insulation based microscopic image analysis, IEEE in Prognostics and System Health Management Conference, Chongqing, Sichuan, China, October 2018, New York: IEEE, p. 692-696.

2017年及以前
[1]Guohui Wei, He Ma*, Wei Qian, Shouliang Qi, Hongyang Jiang, Content-based image retrieval scheme for lung nodule classification, Current Medical Imaging Review, 2017, 13(2):210-216.
[2]马青山，刘磊，齐守良，秦文健，温铁祥，李凌，辜嘉，一种改进的投票算法检测细胞核，中国医学物理学杂志，2017, 34(8): 799-805.
[3]孙航，钱唯，李宏，齐守良，滕月阳，张亭亭，Radiomics方法应用研究进展，肿瘤，2017(10): 1092-1099.
[4]Shouliang Qi, Baihua Zhang, Yueyang Teng, Jianhua Li,Yong Yue, Yan Kang, Wei Qian, Transient dynamics simulation of airflow in a CT-scanned human airway tree: more or fewer terminal bronchi? Computational and Mathematical Methods in Medicine, Volume 2017, Article ID **.
[5]Teng Y Y, Qi S L, Dai Y, Xu L S, Qian W and Kang Y. Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction. Neural Process Letter, 2017, 45(3): 1-14.
[6]Jianhua Li, Yueyang Teng, Shouliang Qi, Dayu Xiao, Lisheng Xu and Yan Kang, Jesse Li-Ling, Pancreatic malformations as seen in congenital syndromes -Developmental perspective with an alternative view, IEEE International Conference on Information and Automation, 2017:702-706.

[7]Shouliang Qi, Stephan Meesters, Klaas Nicolay, Bart M. ter Haar Romeny, Pauly Ossenblok, Structural brain network: What is the effect of LiFE optimization of whole brain tractography? Frontiers in Computational Neuroscience, 10:12. doi: 10.3389/fncom.2016.0001. (SCI, IF: 2.30).
[8]Teng, Y., Qi, S., Xiao, D., Xu, L., Li, J., & Kang, Y. (2016). A general solution to least squares problems with box constraints and its applications. Mathematical Problems in Engineering, 2016(2), 1-11.
[9]Li, J., Lin, X., Teng, Y., Qi, S., Xiao, D., & Zhang, J., et al. (2016). A comprehensive evaluation of disease phenotype networks for gene prioritization. Plos One, 11(7).
[10]孙申申，范立南，康雁，任会之，齐守良，基于改进主动形状模型的含胸壁粘连型肿块的肺区分割方法研究，生物医学工程学杂志，2016, 33(5), 879-884.

[11]Shouliang Qi, Zhenghua Li, Yong Yue, Han J.W. van Triest, Yan Kang and Wei Qian, Simulation analysis of deformation and stress of tracheal and main bronchial wall for the subjects with left pulmonary artery sling, Journal of Mechanics in Medicine and Biology, 2015, 15(6): DOI: 10.1142/S02**539. (SCI, IF: 0.803) (WOS:015).
[12]Shouliang Qi, Stephan Meesters, Klaas Nicolay, Bart M. ter Haar Romeny, Pauly Ossenblok, The influence of construction methodology on structural brain network measures: A review, Journal of Neuroscience Methods 2015, 253, 170-182. (SCI, IF: 2.03) (WOS:018).
[13]Teng, Y., Yuan, N., Zhang, Y., Qi, S., & Kang, Y. (2015). Family of iterative reconstruction algorithms for medical imaging with bregman-divergences. Journal of Medical Imaging & Health Informatics, 5(8), 1708-1714. (WOS:020).

[14]齐守良，司广磊，岳勇，孟现峰，蔡金凤，康雁，基于胸部CT图像的肺结节分割，北京生物医学工程，33(1)，2014, 29-34.
[15]齐守良，李争华，岳勇，徐明杰，HAN JW van Triest，康雁，一种人体气道树快速自动提取算法的医学评价和应用, 中国生物医学工程学报，2014，33(5): 635-640.
[16]Shouliang Qi, Zhenghua Li, Yong Yue, Computational fluid dynamics simulation of air flow in the human symmetrical six-generation bifurcation bronchial tree model, Lecture Notes in Electrical Engineering, 269, 2014, 615-624..
[17] Shouliang Qi, Han J W van Triest, Yong Yue, Mingjie Xu and Yan Kang, Automatic pulmonary fissure detection and lobe segmentation in CT chest images, BioMedical Engineering OnLine 2014, 13:59. (SCI, IF: 1.75).
[18]Shouliang Qi, Zhenghua Li, Yong Yue, Han JW van Triest and Yan Kang, Computational fluid dynamics simulation of airflow in the trachea and main bronchi for the subjects with left pulmonary artery sling, BioMedical Engineering OnLine 2014, 13:85. (SCI, IF: 1.75).
[19]Jin Rim Yong, Shouliang Qi*, Han J.W. van Triest, Yan Kang and Wei Qian, Automatic segmentation of juxta-pleural tumors from CT images based on morphological feature analysis, Bio-Medical Materials and Engineering 2014, 24(6):3137-3144. (SCI, IF: 0.847).
[20]Hong Li, Kaihua Liu, Hang Sun, Nan Bao, Xu Wang, Shi Tian, Shouliang Qi and Yan Kang, Automatic heart positioning method in computed tomography scout images, Bio-Medical Materials and Engineering, 2014, 24: 3277–3286. (SCI, IF: 0.847).

[21]齐守良，岳勇，朱辰坤，郭启勇，一种人体气道树快速自动提取算法的设计，东北大学学报（自然科学版），34(2), 2013, 186-190.
[22]齐守良，岳勇，辛军，康雁，面向临床肿瘤诊疗决策的多模态医学影像融合，中国生物医学工程学报，32(3), 2013, 356-362.
[23]Jie Feng, Ruilin Zhang, Yanan Qu, Ping Geng, Shouliang Qi*, Trajectory simulation of magnetic nanoparticles in the blood vessel for the magnetic targeted-drug delivery, Advanced Materials Research, Vols. 753-755 (2013) pp 988-944.
[24]Ruilin Zhang, Jie Feng, Yanan Qu, Ping Geng, Shouliang Qi*, Design and electromagnetic FEM analysis of high gradient magnet for the magnetic targeted drug delivery system, Advanced Materials Research, Vols. 753-755 (2013) pp 995-1001.

[25]司广磊, 齐守良, 岳勇, Han J.W. van Triest, 康雁, 基于重采样的胸部CT图像肺实质自动分割, 北京生物医学工程学报，2012，31(4)，349-355.
[26]Shouliang Qi, Weijie Ji, Jingshu Zhang, Yan Kang, Algorithmic development of myelin water imaging based on multi-component T2 analysis, 2012 International Conference on Information and Automation (ICIA), Page(s): 451 – 454.
[27]Si Guang-lei, Qi Shou-liang, Meng Xian-feng Kang Yan, Yue Yong, A novel method for lung nodule segmentation based on CT image, 2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI 2012), 826-830. (EI).
[28]Yi Zhong, Shouliang Qi, Yan Kang, Wei Feng, Haacke, E.M., Automatic skull stripping in brain MRI based on local moment of inertia structure tensor, 2012 International Conference on Information and Automation (ICIA), Page(s): 437 – 440.
[29]Yi Zhong, Utriainen D., Shouliang Qi, Yan Kang, Wei Feng, Haacke, E.M., The average cerebral perfusion in patients with multiple sclerosis (MS) using MRI, 2012 International Conference on Information and Automation (ICIA), Page(s): 548 – 551.
[30]Lv, Y, Cao LH, Pang H, Lu LN, Li JL, Fu Y, Qi SL, Luo Y, Li-Ling J, Combined genetic and imaging diagnosis for two large Chinese families affected with Pelizaeus-Merzbacher disease, Genetics and Molecular research, 2012,vol.11(3), 2035-2044.

[31] Qi Shou-liang, Si Guang-lei, van Triest, H.; Yue Yong, Two novel methods for juxta-pleural nodule segmentation based on CT images, Proceedings of SPIE -International Conference on Graphic and Image Processing, 2011, v 8285, p 828539 (9 pp.).(EI).
[32]S.L. Qi, J. Feng, R.L. Zhang, L.B Xiao, Single and multi threading MRI reconstruction based on FFTW 2.X and Intel MKL, 2011 IEEE International Conference on Computer Science and Automation Engineering (CSAE), Vol. 4, 124-127. (EI).
[33]Weijie Ji, Shouliang Qi, Jingshu Zhang, Yan Kang, New efforts to quantitative T2-mapping imaging, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 2011, 413-417. (EI).
[34]Jie Feng, Ruilin Zhang, Shouliang Qi, Design and Implementation of an Experimental Pulse Generator System, 2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, 264-267. (EI).
[35]van Triest, Han J. W.; Chen, Danqi; Ji, Xinglai; Qi, Shouliang; Li-Ling, Jesse, PhenOMIM: An OMIM-based secondary database purported for phenotypic comparison, 2011 Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, EMBC. 2011, 3589-3592. (EI).

[36]S.L. Qi, J.S. Zhang, J.H. Li, L. Ling, J. Feng, In vitro experimental investigation on the key parameters for the embolism therapy using the magnetic nanoparticles, Proceedings of the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Vol. 4, 1511-1515. (EI).
[37]C.K. Zhu, S.L. Qi, Y. Yue, H.V. Triest, S.J. Wang, Y. Kang, Automatic 3D segmentation of human airway tree in CT image, Proceedings of the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Vol. 1, 132-136. (EI).
[38]P. Moeskops, S.L. Qi, H.V. Triest, J. Zhang, Y. Kang, Quantification of posterior fossa structures in fetal brain MR images, 2010 World Congress on Intelligent Control and Automation (WCICA), 6309-6314. (EI).
[39]Y.P. Yao, S.L. Qi, J.S. Zhang, B. Song, C. Feng, L.S. Xu, In vivo animal experimental research of magnetic nanoparticles influence on pulse wave, Proceedings of the 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Vol. 5, 2067–2070. (EI).
[40]D.Y. Xiao, L.S. Xu, S.L. Qi, Y.P. Yao, Y. Kang, A Prototype of Cone-Beam Breast Computed Tomography System and its Performance Evaluation, 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Vol. 1, 66-69. (EI).

[41]付鑫，黄禹，张鹏，齐守良，王如竹，微细通道内液氮流动沸腾的流型特性，机械工程学报，45(9) (2009).
[42]齐守良，高超，屯亮亮等，基于磁性纳米颗粒的血管微阀，09’CBME 中国生物医学工程年会，重庆.
[43]汪济航，宋博，齐守良等，磁性纳米颗粒形成血管栓塞的关键控制参数研究，09’CBME,中国生物医学工程年会，重庆.

[44]付鑫，齐守良，张鹏，王如竹，小通道内液氮流动沸腾的可视化研究，工程热物理学报，29(6) (2008) 1035-1038.
[45]Fu X., S.L. Qi, Zhang P, Wang R.Z, Visualization of flow boiling of liquid nitrogen in a vertical mini-tube, Int. Journal of Multiphase Flow, (2008) 34(4): 333-351,(SCI, EI)

[46]S.L. Qi, P. Zhang, R.Z. Wang, and L.X. Xu, Single-phase pressure drop and heat transfer characteristics of turbulent liquid nitrogen flow in micro-tubes, Int. J. Heat Mass Transfer 50(9-10) (2007) 1993-2001. (光盘检索EI：) (SCI).
[47]S.L. Qi, P. Zhang, R.Z. Wang, and L.X. Xu, Flow boiling of liquid nitrogen in micro-tubes: Part I – the onset of nucleate boiling, two-phase flow instability and two-phase flow pressure drop, Int. J. Heat Mass Transfer, (2007) 50(25-26): 4999-5016 (SCI, EI).
[48]S.L. Qi, P. Zhang, R.Z. Wang, and L.X. Xu, Flow boiling of liquid nitrogen in micro-tubes: Part II– heat transfer characteristics and critical heat flux, Int. J. Heat Mass Transfer, (2007) 50(25-26): 5016-5030. (SCI, EI).
[49]P. Zhang, S.L. Qi, R. Z. Wang, Experimental investigation of single phase liquid nitrogen flow in mini-tubes used for cryoprobes, in Proc. ICEC 21. 2007. p. 429-432.
[50]齐守良，张鹏，王如竹，徐学敏，微通道中液氮的流动沸腾—两相流动压降分析，机械工程学报，(2007) 43(5) 36-43. (EI).
[51]齐守良，张鹏，王如竹，徐学敏，微通道中液氮的流动沸腾—换热特性分析，机械工程学报，(2007) 43(10) 20-26 (EI).
[52]齐守良，张鹏，王如竹，微通道中液氮单相流动和换热特性研究，中国工程热物理学报，28(3) (2007) 451-453. (EI).
[53]付鑫，张鹏，齐守良，王如竹，徐烈，新型液氮过冷器特性，低温与超导，35(1) (2007) 4-8.
[54]张鹏，齐守良,王如竹，微细通道中液氮流动沸腾的不稳定性，低温工程，2007，10-17.

[55]S.L. Qi, P. Zhang, R. Z. Wang, A.L. Zhang and L.X Xu, Development and performance test of a cryoprobe with heat transfer enhancement construction, Cryogenics, 46 (2006) 881-887. (光盘检索EI：) (SCI:108VZ).
[56]齐守良，张鹏，王如竹，张爱丽，徐学敏，肿瘤低温治疗探针强化换热特性，上海交通大学学报，40(8) (2006) 1369-1372. (EI).
[57]齐守良，张鹏，王如竹，液氮流动沸腾换热研究综述，低温与超导，34(6) (2006) 417-423.

[58]S.L. Qi, P. Zhang, A.L. Zhang, R.Z. Wang, and L.X. Xu, Performance Evaluation of a Novel Liquid Nitrogen Cryoprobe, 2005, 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). (EI).
[59]S.L. Qi, Q.L. Li, R.Z. Wang, Convective heat transfer characteristics of the elliptic cylinder with axis ratio of 4:1 in crossflow, J. of Shanghai Jiaotong University (Science) E-10(2) (2005) 160-163. (EI).
[60]张鹏，齐守良，王如竹，张爱丽，徐学敏。低温探针的性能特性实验研究，全国第七届低温工程大会，2005年12月，昆明, 471-475，兵器工业出版社.

[61]齐守良，张鹏，王如竹，基于宏液层蒸发模型的池沸腾换热数值模拟，中国工程热物理学会传热传质学术会议 2004.10.
[62]Q.L. Li, L.X. Ma, S.L. Qi, Z. Chen, M.H. Pahl, Experimental investigation on heat transfer and flow resistance of an 1.6/1.0 elliptic cylinder in crossflow, J. of Qingdao University of Science and Technology (Science), 2004, 25(1), 60-64.
[63]Q.L. Li, S.L. Qi, X.W. Zhang, et al. Heat transfer characteristics and flow behaviors of elliptic cylinder in crossflow, J. of Qingdao University of Science and Technology (Science), 2004, 24(5), 434-440.

[64]齐守良，李庆领，横掠椭圆管的换热及流动特性分析，青岛科技大学学报，2003, 24（5）436-438.
[65]周艳，齐守良，宋廷强，李庆领，ESDOTF系统中知识的表示及获取，青岛科技大学学报，2003, 24（9）74-77.
[66]李庆领，齐守良，马连湘，张学伟，横掠1.2:1椭圆管的换热及流动特性研究 中国工程热物理学会传热传质学术会议 2003.10.

[67]齐守良，李庆领，周艳，横掠滴形钉头管的换热特性研究，青岛科技大学学报，2002，23（9）59-61.

2.专利申请
[1]张鹏，齐守良，王如竹，许煜雄, 分离式肿瘤低温治疗仪，中国发明专利，公开号：CN**.
[2] 齐守良，张鹏，王如竹，快速预冷汽液分离套管，申请号：1.4.
[3]齐守良，宗慎言，康雁，一种微型核磁共振的射频信号发生装置与方法，授权号：9.4.
[4] 齐守良，杨帆，唐陆昆，徐开春，徐明杰，钱唯，一种从肺部CT图像中提取末端支气管树的方法申请号：5.X.
[5] 齐守良，杨帆，赵近超，钱唯，一种从肺部CT图像气道三维骨架树状结构提取及标记方法申请号：3.7.
[6]齐守良，徐明杰，杨帆，钱唯，一种基于聚类算法和卷积神经网络的肺实质提取方法，申请号：5.4.

3.科研项目

基于影像计算的人体气道树结构和功能分析方法与其在COPD中的应用研究
国家自然科学基金委
56万
2017.01.01-2020.12.31
第一

基于肺癌分子靶向和常规治疗反应及预后评估的多模态定量化影像研究
中央高校基本业务科研费重点科技创新项目
40万
2014.01.01-2016.12.31
第一

面向临床肿瘤诊疗决策的多模医学影像信息关联和融合问题研究
辽宁省自然科学学基金委
10万
2013.01.01-2015.12.31
第一

肿瘤磁性靶向治疗过程中纳米颗粒的在体输运规律研究
国家自然科学基金委
20万
2011.01.01-2013.12.31
第一

基于MDCT影像数据的气道结构、功能和两者关联模型的研究
中央高校基本科研业务费项目
13.5万
2012.01.01-2013.12.31
第一

基于MDCT影像数据的气道结构提取、分析和建模
辽宁省教育厅一般项目
6万
2013.01.01-2015.12.31
第一

基于影像基因组学的肺癌预后模型研究
国家自然科学基金委
59万
2017.01.01-2020.12.31
第五








校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
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COPD个体气道树内10um颗粒的输运与沉降（左主支气管存在狭窄）
健康个体气道树内10um颗粒的输运与沉降

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校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
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校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
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生物医学工程专业（学术型）硕士研究生
本科专业：生物医学工程、计算机、自动化等相关专业。
招收人数：3-5人。
基本条件：诚实守信，踏实肯干，热爱钻研；具有创新意识；掌握计算机和英语基本技能。
优选条件：熟悉MATLAB、机器学习、医学图像处理、神经科学与工程等；中文、英文书写表达能力强；参与创新项目、发表论文、数模竞赛等。

生物医学工程专业（专业型）硕士研究生
本科专业：生物医学工程、计算机、电子、自动化、机械等相关专业。
招收人数：3-5人。
基本条件：诚实守信，踏实肯干，热爱钻研；具有创新意识；掌握计算机和英语基本技能。
优选条件：熟悉MATLAB、机器学习、医学图像处理、神经科学与工程等；中文、英文书写表达能力强；参与创新项目、发表论文、数模竞赛等。

生物医学工程专业本科毕业设计学生
招收人数：5-8人。
基本条件：诚实守信，踏实肯干，热爱钻研；具有创新意识；掌握计算机和英语基本技能。
优选条件：熟悉医学图像处理、机器学习、神经科学与工程等知识；有参与实际项目经历。

生物医学工程专业本科提前进所（大二或大三）学生
招收人数：5-8人。
基本条件：诚实守信，踏实肯干，热爱钻研；具有创新意识；掌握计算机和英语基本技能。
优选条件：熟悉医学图像处理、机器学习、神经科学与工程等知识；有参与实际项目经历。









校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
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日期：2018-08-31
Link to various medical image datasets
评述： One useful link to medcial image datasets. https://github.com/beamandrew/medical-data.
重要程度：*****




日期：2018-08-31
What's better for me? Fundamental role for lateral habenula in promoting subjective decision biases, Nature neuroscience 2013, doi:10.1038/nn.3587
评述：在选择不同价值的奖励时，“哪种选择可能更好”的主观印象可以被某些成本（例如付出、延迟和不确定性）所粉饰，这些成本减小了客观上更大的一些奖励的主观价值。与多巴胺决策回路中的其他节点协同，LHb发挥基础作用，帮助生物体在面临模棱两可的决定（考虑到不同行为的成本和收益）时做出选择。这个进化保存的核团的活动帮助做出有偏好性的行为，从一个没有不同的出发点，走向致力于可能产生预期更有利的结果的选择。LHb aids in making decisions with subjective biases.
重要程度：***




日期：2018-08-28
A radiomics approach to assess tumour-infiltrating CD8 cellsand response to anti-PD-1 or anti-PD-L1 immunotherapy:an imaging biomarker, retrospective multicohort study，Lancet Oncol 2018, Published Online August 14, 2018
评述：首次开发和验证了一个基于Radiomics的可表征肿瘤浸润CD8细胞biomarker，从而表明，肿瘤浸润淋巴细胞个数（由病理专家估计的）、肿瘤免疫表型（两个极端表型：immune-inflamed-with dense CD8细胞浸润；immune-desert-with低CD8细胞浸润）、对于PD-1和PD-L1免疫治疗的临床反应之间是存在相关关系的。利用了四个独立数据库开展了四个实验：（1）利用CD8基因表达signature作为最初endpoint，建立了一个基于Radiomics的biomarker；（2） 利用The Cancer Genome Atlas(n=119)验证了这个模型，也验证了Radiomics score与肿瘤浸润细胞个数成正比；（3）利用Immune phenotype cohort (n=100),验证了Radiomics score与肿瘤免疫表型相关；（4）利用免疫治疗数据集（n=137），表明Radiomics score可以预测总体生存率（OS）和客观反应。在Radiomis方法方面，有四点值得说明：（1）为了能够反映肿瘤微环境，根据放射医生手工画出的轮廓，向内和向外各扩展了2mm，从而形成了一个周围的ring，特征提取时即考虑Ring，也考虑肿瘤本身VOI；（2）因为纹理模式会依靠于宏观结构，所以VOI位置也被作为一个参数，主要是因为考虑了多种器官的肿瘤（标记为1-5，淋巴转移腺癌；头颈原位癌；肺癌；肝癌和其他腹部癌症）；（3）管电压（peak kilovoltage）也被作为一个特征参数，因为它对于radiomics输出有影响；（4）使用的机器学习方法是“弹性网正则回归方法”，获得一个Radiomics score。文中也提到了几点局限性：（1）人群数据是heterogenous（各种癌症和各种CT重建方法），这个做的好处是，可以发现一个通用的可以刻画肿瘤内在行为的肿瘤特征，可以防止过拟合，原因是如果严格筛选就剩下极少样本，前瞻性大样本实验还是需要的；（2）免疫分型仅仅使用了两种，而目前的分类是6类。作者用efficient, non-invasive, cost-effective, and reliable四个单词来形容Radiomics。
重要程度：*****




日期：2018-08-27
Dealing with Uncertainty in CT Images，Radiology, 2016, 279(1):1-6
评述：我们总是喜欢认为我们是客观的！Owing to our predisposition to think of CT images as reproducible and objective information, 所以才有一些研究：检查和揭示CT测量（CT数，病灶尺寸和纹理模式）的variability。考虑到CT图像采集和重建参数的异质性和复杂性（除了存在于不同设备制造商和型号之间的差异），理解如何将我们的“Imaging devices”变成“Measurement devices”(跨平台和多中心都是鲁棒的)可能还需要很长一段时间。将来，我们坚信，用于视觉解读的重建方法（产生视觉上让人高兴的图像，例如低噪声和边缘增强）和用于Radiomics和定量化任务的重建方法将会是不一样的。
重要程度：****









校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
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Personal Resume
Name： Shouliang Qi
Department： Sino-Dutch Biomedical and Information Engineering School
Professional Title： Associate Professor
Education Background： Doctor
Office： Life & Science Building B517
Telephone Number：
Email： qisl@bmie.neu.edu.cn

Professor Qi is an associate professor, and he is the director of imaging department in Sino-Dutch Biomedical and Information Engineering School (BMIE), and a ShuGuang Scholar of Northeastern University. Qi received PH.D. degree from Shanghai Jiaotong Univeristy in 2007. From 2007 to 2008, he researched on MRI system designing at GE Global Research Center. From 2012 to 2013, he visited Wayne State University in the United States and the Eindhoven University of Technology in the Netherlands for cooperative research. From 2014 to 2015, he completed a one-year study of state public-sector visiting scholars at the Eindhoven University of Technology in the Netherlands and the Kempenhaeghe Epilepsy Medical Center. Since 2008, he has been working in Sino-Dutch Biomedical and Information Engineering School of Northeastern University and devoted himself to cultivating innovative talents and cutting-edge scientific research.
Professor Qi is the director of Liaoning Province Medical Information and Health Engineering Society, a member of Chinese Society of Biomedical Engineering, and a reviewer for several international and domestic journals. At present, his research interests include intelligent image analysis, human brain connectivity research, future intelligent science and Nano-Bio-Info-Cogn convergence science. He has presided nearly 10 projects of National Natural Science Foundation of China and National Natural Science Foundation of LiaoNing Provience, and participated in a number of Key Projets in the National Support Plan. In addition, he has published more than 70 papers on important international and domestic journals and 6 patents.


Research Interests
Intelligent Image Analysis
Human Brain Connectivity Research
Future Intelligent Science
Nano-Bio-Info-Cogn Convergence Science


Enrollment
Master of Biomedical Engineering
Undergraduate Major: Biomedical Engineering, Computer Science, Automation and some related majors.
Number: 6-10.
Basic Conditions：You should be honest, trustworthy, practical and work hard, and you should have a knowledge of Computer and English. In addition, an innovative mind is necessary.
You will have more opportinuties to be enrolled, if you meet the following conditions: be good at MATLAB, Machine Learning, Medical Image Processing, Neural Science and Engineering; have strong Expressing and writting abilities; have experience on projects, competitions, writting papers and so on.
For Undergraduates
Number: 5-8.
Basic Conditions: You should be honest, trustworthy, practical and work hard, and you should have a knowledge of Computer and English. In addition, an innovative mind is necessary.
You will have more opportinuties to be enrolled, if you meet the following conditions: be good at Machine Learning, Medical Image Processing, Neural Science and Engineering; have experience on projects.


Contact Information
Sino-Dutch Biomedical and Information Engineering School, Northeastern University,No. 500 Wisdom Street,Shenyang, Liaoning, P. R. China, 110167
Phone:
email: qisl@bmie.neu.edu.cn
Personal Homepage: http://faculty.neu.edu.cn/bmie/qisl


Some Recent Publications

[1]Guohui Wei, He Ma*, Wei Qian, Shouliang Qi, Hongyang Jiang, Content-based image retrieval scheme for lung nodule classification, Current Medical Imaging Review, 2017, 13(2):210-216.

[2]马青山，刘磊，齐守良，秦文健，温铁祥，李凌，辜嘉，一种改进的投票算法检测细胞核，中国医学物理学杂志，2017, 34(8): 799-805.

[3]孙航，钱唯，李宏，齐守良，滕月阳，张亭亭，Radiomics方法应用研究进展，肿瘤，已录用.

[4]Guohui Wei, He Ma, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu, Lung nodule classification using local kernel regression models with out-of-sample extension, Biomedical Signal Processing and Control, Accepted.

[5]Xinzhuo Zhao, Liyao Liu, Shouliang Qi*,Yueyang Teng, Jianhua Li, Wei Qian, An agile Convolutional Neural Network for Pulmonary Nodule Classification Using CT Images, International Journal of Computer Assisted Radiology and Surgery, Under review of the second round.

[6]Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu, Airflow in tracheobronchial tree of subjects with tracheal bronchus simulated using CT image based models and CFD method, Journal of Medical Systems, Under review.

[7]Shouliang Qi, Baihua Zhang, Yueyang Teng, Jianhua Li,Yong Yue, Yan Kang, Wei Qian, Transient dynamics simulation of airflow in a CT-scanned human airway tree: more or fewer terminal bronchi? Computational and Mathematical Methods in Medicine, Accepted.

[8]齐守良, 李萌, 高青君, 余晖, 联合体素和白质图谱的多发性硬化症患者DTI图像定量化分析, 东北大学学报，已录用.

[9]Shouliang Qi, Stephan Meesters, Klaas Nicolay, Bart M. ter Haar Romeny, Pauly Ossenblok, Structural brain network: What is the effect of LiFE optimization of whole brain tractography? Frontiers in Computational Neuroscience, 10:12. doi: 10.3389/fncom.2016.0001. (SCI, IF: 2.30).

[10]Teng, Y., Qi, S., Xiao, D., Xu, L., Li, J., & Kang, Y. (2016). A general solution to least squares problems with box constraints and its applications. Mathematical Problems in Engineering, 2016(2), 1-11.

[11]Li, J., Lin, X., Teng, Y., Qi, S., Xiao, D., & Zhang, J., et al. (2016). A comprehensive evaluation of disease phenotype networks for gene prioritization. Plos One, 11(7).

[12]Teng Y Y, Qi S L, Dai Y, Xu L S, Qian W and Kang Y. Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction. Neural Process Lett, DOI 10.1007/s11063-016-9565-3.

[13]孙申申，范立南，康雁，任会之，齐守良，基于改进主动形状模型的含胸壁粘连型肿块的肺区分割方法研究，生物医学工程学杂志，2016, 33(5), 879-884.

[14]Jianhua Li, Yueyang Teng, Shouliang Qi, Dayu Xiao, Lisheng Xu, Yan Kang, Jesse Li-Ling. Pancreatic Malformations as Seen in Congenital Syndromes - Developmental Perspective with an Alternative View, IEEE International Conference on Information and Automation, 702-706, Ningbo, China, 31 July – 4 August, 2016.

[15]Shouliang Qi, Zhenghua Li, Yong Yue, Han J.W. van Triest, Yan Kang and Wei Qian, Simulation analysis of deformation and stress of tracheal and main bronchial wall for the subjects with left pulmonary artery sling, Journal of Mechanics in Medicine and Biology, 2015, 15(6): DOI: 10.1142/S02**539. (SCI, IF: 0.803) (WOS:015).

[16]Shouliang Qi, Stephan Meesters, Klaas Nicolay, Bart M. ter Haar Romeny, Pauly Ossenblok, The influence of construction methodology on structural brain network measures: A review, Journal of Neuroscience Methods 2015, 253, 170-182. (SCI, IF: 2.03) (WOS:018).

[17]Teng, Y., Yuan, N., Zhang, Y., Qi, S., & Kang, Y. (2015). Family of iterative reconstruction algorithms for medical imaging with bregman-divergences. Journal of Medical Imaging & Health Informatics, 5(8), 1708-1714. (WOS:020).

[18]齐守良，司广磊，岳勇，孟现峰，蔡金凤，康雁，基于胸部CT图像的肺结节分割，北京生物医学工程，33(1)，2014, 29-34.

[19]齐守良，李争华，岳勇，徐明杰，HAN JW van Triest，康雁，一种人体气道树快速自动提取算法的医学评价和应用, 中国生物医学工程学报，2014，33(5): 635-640.

[20]Shouliang Qi, Zhenghua Li, Yong Yue, Computational fluid dynamics simulation of air flow in the human symmetrical six-generation bifurcation bronchial tree model, Lecture Notes in Electrical Engineering, 269, 2014, 615-624..

[21] Shouliang Qi, Han J W van Triest, Yong Yue, Mingjie Xu and Yan Kang, Automatic pulmonary fissure detection and lobe segmentation in CT chest images, BioMedical Engineering OnLine 2014, 13:59. (SCI, IF: 1.75).

[22]Shouliang Qi, Zhenghua Li, Yong Yue, Han JW van Triest and Yan Kang, Computational fluid dynamics simulation of airflow in the trachea and main bronchi for the subjects with left pulmonary artery sling, BioMedical Engineering OnLine 2014, 13:85. (SCI, IF: 1.75).

[23]Jin Rim Yong, Shouliang Qi*, Han J.W. van Triest, Yan Kang and Wei Qian, Automatic segmentation of juxta-pleural tumors from CT images based on morphological feature analysis, Bio-Medical Materials and Engineering 2014, 24(6):3137-3144. (SCI, IF: 0.847).

[24]Hong Li, Kaihua Liu, Hang Sun, Nan Bao, Xu Wang, Shi Tian, Shouliang Qi and Yan Kang, Automatic heart positioning method in computed tomography scout images, Bio-Medical Materials and Engineering, 2014, 24: 3277–3286. (SCI, IF: 0.847).

[25]齐守良，岳勇，朱辰坤，郭启勇，一种人体气道树快速自动提取算法的设计，东北大学学报（自然科学版），34(2), 2013, 186-190.

[26]齐守良，岳勇，辛军，康雁，面向临床肿瘤诊疗决策的多模态医学影像融合，中国生物医学工程学报，32(3), 2013, 356-362.

[27]Jie Feng, Ruilin Zhang, Yanan Qu, Ping Geng, Shouliang Qi*, Trajectory simulation of magnetic nanoparticles in the blood vessel for the magnetic targeted-drug delivery, Advanced Materials Research, Vols. 753-755 (2013) pp 988-944.

[28]Ruilin Zhang, Jie Feng, Yanan Qu, Ping Geng, Shouliang Qi*, Design and electromagnetic FEM analysis of high gradient magnet for the magnetic targeted drug delivery system, Advanced Materials Research, Vols. 753-755 (2013) pp 995-1001.

[29]司广磊, 齐守良, 岳勇, Han J.W. van Triest, 康雁, 基于重采样的胸部CT图像肺实质自动分割, 北京生物医学工程学报，2012，31(4)，349-355.

[30]Shouliang Qi, Weijie Ji, Jingshu Zhang, Yan Kang, Algorithmic development of myelin water imaging based on multi-component T2 analysis, 2012 International Conference on Information and Automation (ICIA), Page(s): 451 – 454.








校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
Copyright ?Northeastern University | Site Designer: Network Center
Welcome to Northeastern University!

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姓名： 齐守良
工作单位： 医学与生物信息工程学院
职称： 副教授，博士生导师
学历： 博士
办公室： 生科楼 B517
电话：
电子邮箱： qisl@bmie.neu.edu.cn

个人简介：
齐守良，医学与生物信息工程学院副教授，博士生导师，医学成像与智能分析教育部工程研究中心副主任，生物医学影像系主任，东北大学曙光学者。2007年获上海交通大学博士学位。2007-2008年间，在GE Global Research Center从事MRI系统设计的研发工作。2012-2013年间多次访问美国维恩州立大学和荷兰埃因霍温科技大学开展合作研究。2014-2015年间，在荷兰埃因霍温科技大学和Kempenhaeghe癫痫医学中心完成为期一年的国家公派访问学者研究。2008年至今，工作于东北大学医学与生物信息工程学院，致力于创新人才培养和前沿科学研究。担任辽宁省医学信息与健康工程学会理事，辽宁省神经科学学会理事，CCF YOCSEF沈阳学术委员会委员，中国抗癌协会肿瘤人工智能专业委员会委员，多个国际国内期刊审稿人。
目前，研究方向包括智能影像组学、人脑连接组学、未来智能科学和Nano-Bio-Info-Cogn汇聚科学等。主持完成国家自然科学基金、辽宁省自然科学基金等项目近10项，参加国家支撑计划重点项目等多项，累计在国内外重要期刊发表论文100多篇，并申请8项专利。获得“上海市优秀博士论文”、“全国优秀博士论文提名奖”、“GRC–Technology Impact Award”、“教育部高等学校科学研究优秀成果奖（自然科学奖）二等奖”、“东北大学优秀指导教师”、“东北大学青年岗位能手”和“东北大学优秀教师”等荣誉与奖励。








校址：辽宁省沈阳市和平区文化路3号巷11号 邮编：110819
Copyright ?Northeastern University | Site Designer: Network Center
Welcome to Northeastern University!