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近日,我中心邓柯副教授团队与北京大学人民医院胸外科团队合作在胸外科经典期刊《欧洲心胸外科杂志》(European Journal of Cardio-Thoracic Surgery,简称EJCTS)发表题为“Detection of blood stains using computer vision-based algorithms and their association with postoperative outcomes in thoracoscopic lobectomies”的研究论文,提出了一种基于计算机视觉的术中出血识别与计量方法,并首次将手术视频分析与临床预后关联分析相结合,为手术预后提供指导。

北京大学人民医院博士研究生许昊和中心21级博士研究生韩庭萱为本文的共同第一作者,中心邓柯副教授和北京大学人民医院的周健副教授、王俊院士为本文的共同通讯作者,中心19级博士研究生王海沣参与工作。

如今,胸外科手术已逐渐转向微创(Minimally Invasive Surgery,简称MIS)范式。与开胸手术相比,视频辅助胸腔镜手术(Video Assisted Thoracoscopic Surgery,简称VATS)因其较少的术后急性期、较小的肺功能损害、较低的术后发病率以及较短的住院时间,已成为治疗早期和局部晚期非小细胞肺癌患者的标准方式。在VATS手术期间,数码相机将手术过程拍摄为视频。手术视频中包含大量有关患者术中出血情况的信息,例如出血的时段、冲水操作后的出血状况等。如何通过对手术视频的分析准确有效地量化VATS视频中的血迹,并提取能够反映手术状态、与预后显著相关的变量是一项尚未解决的挑战。

本文使用北京大学人民医院胸外科2020年行肺叶切除术的275例手术视频,利用图像背景信息,提出了一种基于RGB通道动态阈值的血迹像素识别算法,对血迹像素的判别准则进行实时调整,并在血迹像素识别任务中取得准确性99.1%,特异性98.9%,敏感度99.2%的效果。该方法具有运算简单快速、准确性高的特点,适用于长时间、高清晰度的视频分析。对术中血迹像素进行识别后,本文提取基于血迹像素占比的变量用以刻画术中出血情况,并与患者预后指标进行关联分析,得到了具有统计学显著性的变量,由此形成临床预后方案,为预后管理提供指导。

论文链接:

https://academic.oup.com/ejcts/advance-article-pdf/doi/10.1093/ejcts/ezac154/43152865/ezac154.pdf

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2022年3月28日,加州大学旧金山分校江非助理教授通过线上平台与我中心教员交流,并进行线上学术报告,报告的题目是Time-varying Dynamic Network Model For Dynamic Resting State Functional Connectivity in fMRI and MEG imaging。

江非助理教授线上报告
与会教员“云”合影
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近日,清华大学2022年第2期教学简报发布《本科生课程课堂教学质量学生问卷调查统计分析报告(2021-2022学年度秋季学期)》。

清华大学统计学研究中心入围全校前5%的课程如下:

邓婉璐 《初等概率论》

2021-2022学年度秋季学期理论课得分

全校排名第一(100人以上课堂),邓婉璐老师连续两年获此佳绩

周在莹 《统计计算与软件》

2021-2022学年度秋季学期理论课得分

全校排名前5%(100人以上课堂)

周在莹 《非参数统计导论》

2021-2022学年度秋季学期理论课得分

全校排名前5%(30-100人课堂)

此前,在2020-2021学年度春季学期教评中,周在莹老师讲授的两门课《线性回归分析》《实验设计和分析》也排名全校前5%

 

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2022年3月21日,加州大学伯克利分校阮丰博士通过线上平台与我中心教员交流,并进行线上学术报告,报告的题目是Designing Better Nonconvex Model for Modern Statistical Applications。

阮丰博士学术报告
与会教员“云”合影

 

 

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2022年3月21日,上海财经大学冯兴东教授通过线上平台与我中心教员交流,并进行线上学术报告,报告的题目是Quantile Regression for Nonignorable Missing Data with its Application of Analyzing Electronic Medical Records。

冯兴东线上报告
与会教员“云”合影
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2022年3月8日,哈佛大学生物统计系公布本年度“统计科学领域马文泽伦领导力奖(Marvin Zelen Leadership Award in Statistical Science)”获奖人选,清华大学知名校友、哈佛大学生物统计系林希虹教授获此殊荣,祝贺林老师~也感谢林老师长期以来为清华大学统计学科发展做出的卓越贡献!

以下选自哈佛大学介绍:

We are extremely pleased to announce that internationally renowned biostatistician

Dr. Xihong Lin

Professor of Biostatistics and Coordinating Director of the Program in Quantitative Genomics at the Harvard T.H. Chan School of Public Health and Professor of Statistics at the Faculty of Arts and Sciences of Harvard University, will be the recipient of the 2022 Marvin Zelen Leadership Award in Statistical Science and will deliver a virtual lecture in May 2022.

Described by colleagues as “a force of nature”, “a major star”, and “one of the most influential statistical scientists of our time”, Dr. Lin has distinguished herself as a world leader in statistical methods and applications who has dedicated her career to advancing biostatistics, medicine, and public health.

After earning her PhD at the University of Washington and spending almost 10 years at the University of Michigan, Dr. Lin joined the faculty at Harvard in 2005. Her research has evolved over the years, motivated by the pressing analytical needs in health research. Early in her career, she focused on statistical method development and applications for analysis of longitudinal data and complex observational studies. She became a leader in mixed models, nonparametric and semiparametric regression, missing data, and measurement error for analysis of longitudinal data, and causal inference for complex clinical trials. Later in her career her research shifted to statistical genetics and genomics, with her work becoming a hallmark in statistical methods for analysis of rare variants (RVs) in whole genome sequencing studies. She founded and has been the Coordinating Director of Harvard’s Program in Quantitative of Genomics (PQG) since 2008. Most recently, Dr. Lin has been on the forefront of COVID-19 research, becoming part of a team analyzing the first data out of Wuhan, China and the effectiveness of control measures. In addition to several other efforts, she is the PI of the HowWeFeel project that launched an app in spring 2020 to collect COVID-19 health and exposure data in US and other countries.

Dr. Lin has given back to the statistical and biostatistical community in immeasurable ways through her extraordinary service and leadership. She chaired the Harvard Biostatistics department from 2015-2018, helping to launch an MS program in Health Data Science, one of the first in the nation. As coordinating director of the Program in Quantitative Genomics (PQG), she will help organize its 16th conference, “Emerging Challenges and Opportunities in Gene Editing” later this year. She is the former Chair of the COPSS, and a former member of the Committee of Applied and Theoretical Statistics (CATS) of the National Academy of Science. She is the former Coordinating Editor of Biometrics, the founding co-editor of Statistics in Biosciences, and a former Associate Editor of the Journal of the American Statistical Association and American Journal of Human Genetics.

Dr. Lin has trained 37 doctoral students as the primary dissertation advisor and 27 postdoctoral fellows, proving to be a dedicated educator, a generous mentor, and a role model throughout her career. She has always made the development and success of junior faculty and students a priority, particularly focusing on supporting women statisticians, and promoting inclusivity and equity. She has been described by her peers as a caring, supportive colleague who is always thinking about others rather than herself.

Through her groundbreaking research, countless initiatives and projects, and the community she has helped grow, Dr. Lin’s transformative ideas and innovative vision have moved the field forward. Reminiscent of the career of the late Marvin Zelen, and in the true spirit of the award, Dr. Lin has “contributed to the creation of an environment in which statistical science and its applications have flourished”.

Career Highlights

  • Mortimer Spiegelman Award, APHA
  • Presidents’ Award, COPSS
  • Janet L. Norwood Award for Outstanding Woman Statistician, University of Alabama at Birmingham
  • FN David Award, COPSS
  • Mosteller Statistician of the Year, ASA Boston Chapter
  • Adrienne Cupples Award, Boston University
  • Greenberg Distinguished Lectureship Award, UNC Chapel Hill
  • Distinguished Alumni Award, University of Washington
  • Outstanding Service Award, International Chinese Statistical Association
  • Myrto Lefkopoulou Award, Harvard University
  • Medallion Lecture Award, Institute of Mathematical Statistics
  • Coordinating Director, Program in Quantitative Genomics (PQG)
  • Elected Fellow of the American Statistical Association
  • Elected Fellow of the Institute of Mathematical Statistics
  • Elected to the National Academy of Medicine
  • Named one of 50 Changemakers in Public Health by Washington University
  • Published over 330 papers, with over 43300 citations
  • Principal Investigator or Multiple Principal Investigator on six NIH and NSF grants
  • Received the NCI MERIT Award (R37) and the NCI Outstanding Investigator Award
  • Chair of the COPSS
  • Former member of the Committee of Applied and Theoretical Statistics (CATS) of the National Academy of Science
  • Founder, North America Department of Biostatistics Chair Group
  • Co-founder, ENAR Young Researcher Workshop
  • Co-founder, co-founded the ASA Statistical Genetics and Genomics Section
  • Served on the State of Massachusetts COVID-19 Task Force
  • Editor, Computational Biology Series
  • Founding Co-Editor, Statistics in Biosciences
  • Coordinating Editor, Biometrics
  • Associate Editor: JASA, AJHG, Statistica, Biometrics, Biometrika, Biostatistics
  • Books: Past, Present and Future of Statistical Science and New Developments in Biostatistics and Bioinformatics (Frontiers of Statistics)
About the Award

This annual award, supported by colleagues, friends and family, was established to honor Dr. Marvin Zelen’s long and distinguished career as a statistician and his major role in shaping the field of biostatistics.

The award recognizes an individual in government, industry, or academia, who by virtue of his/her outstanding leadership, has greatly impacted the theory and practice of statistical science. While individual accomplishments are considered, the most distinguishing criterion is the awardee’s contribution to the creation of an environment in which statistical science and its applications have flourished. The award recipient will deliver a virtual lecture on statistical science and will be presented with a citation and an honorarium.

以上资料参考自哈佛大学官网:https://www.hsph.harvard.edu/biostatistics/zelenaward/

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2022年3月7日,角井(北京)生物技术有限公司周一鸣博士访问我中心,并做学术报告,报告的题目是人工智能技术在抗体药开发中的应用。

周一鸣博士学术报告
周一鸣博士与中心教员合影
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