IEEE EMBS Summer School 2024 | 第六届IEEE EMBS国际神经工程暑期学校（第二轮通知）

The 6th IEEE EMBS International Summer School of Neural Engineering

Shanghai, China

July 29-Aug 3rd, 2024

Theme: AI-empowered Brain Imaging & Decoding

 第二轮通知 

Introduction

The IEEE EMBS International Summer School of Neural Engineering (ISSNE) is a platform that has biennially gathered researchers, scientists, and students in the neural engineering field since 2013. The 6th ISSNE, scheduled for July 29 to August 3, 2024, will spotlight the theme of "AI-Empowered Brain Imaging & Decoding." This year's program is tailored to delve into the overlap of artificial intelligence and neuroimaging & neural coding, underscoring the transformative influence of AI within this area. ISSNE will host a series of keynote and seminar talks from distinguished scientists, offering invaluable insights into cutting-edge developments and trends in AI-based brain imaging and decoding. Students will also benefit from a bootcamp training specifically designed for AI-based discovery, providing them with tangible skills and knowledge. Plus, the 2024 ISSNE will facilitate student poster and slide presentations. This will allow participants to exhibit their innovative research findings and ideas, with the potential to win awards for presentations. We invite you to join us at the 2024 ISSNE and immerse yourself in the thrilling exploration of AI-based brain imaging and decoding research.

IEEE EMBS国际神经工程暑期学校（ISSNE）自2013年以来，每两年一届，汇聚神经工程领域的研究人员、科学家和学生。第六届ISSNE定于2024年7月29日至8月3日举行，将聚焦“AI赋能的大脑成像与解码”这一主题。今年的项目旨在深入探讨人工智能与神经成像和神经编码的交叉领域，强调AI在该领域的变革性影响。ISSNE将举办一系列由杰出科学家主讲的主题演讲和专题报告，提供基于AI的大脑成像和解码领域的前沿发展和趋势的宝贵见解。学生还将受益于专为AI基础探索设计的训练营培训，获得实践技能和知识。此外，2024年ISSNE将举办学生海报和口头报告展示，让参与者展示他们的创新研究成果和想法，并有机会获得演讲奖。我们诚挚地邀请您参加2024年ISSNE，遨游在基于AI的大脑成像和解码研究中。

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Program Outline

Teaching Faculty

(in alphabetic order of last names)

点击文末【阅读原文】查看讲师详细介绍

Advisory Committee

Zhi-Pei Liang, UIUC

Nitish Thakor, JHU

Lisa Xu, SJTU

Organization Committee

Shanbao Tong (Chair, [e-mail]), SJTU

Yao Li (Co-Chair), SJTU

Bo Hong (Co-Chair), Tsinghua Univ.

Xiaoli Guo, SJTU

Yue Guan, SJTU

Hilary Shang (Secretary), SJTU

Sponsors

IEEE Engineering in Medicine and Biology Society

Chinese Society for Neural Engineering

National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, Shanghai Jiao Tong University, China

School of Biomedical Engineering, Shanghai Jiao Tong University

Med-X Journal

Application & Registration 

1. Please submit through the QR code: 

2. For any inquiries, please contact Ms. Hillary Shang at: [e-mail]

3. Registration will be starting from June 1st, 2024, and the summer school will accommodate a maximum of 100 students.

Preliminary Program

 may subject to minor change, updated on June 11

Day 1 (July 30)

Keynote 1: 

Anqiu Qiu, Spectral Laplace-Beltrami Wavelets and Geometric Convolutional Neural Network for Signal Processing and Classification (谱拉普拉斯-贝尔特拉米小波与几何卷积神经网络在信号处理与分类中的应用)

Keynote 2:

Bo Hong, Minimally Invasive Brain Computer Interface: From Bench to Bed (微创脑机接口：从实验室到临床)

BootCamp Training 1:

Anqi Qiu,  Practice on Graph Neural Network for Brain Data (图神经网络处理大脑数据实战)

Day 2 (July 31)

Keynote 3:

Ching-Po Lin, Mapping the connectomics of human brain disorders (人类大脑疾病的连接组学图谱绘制)

Invite Session Talk 1, 2

Ching-Po Lin:  Leveraging MRI and AI to Forecast Brain Aging (利用MRI和人工智能预测脑龄)

Xia Wu, When the Brain Encounters AI: The Development from Neural Decoding to General AI (当大脑遇上AI:从神经解码到通用AI的发展)

Campus Tour

Day 3 (Aug 1)

Keynote 4:

Parashkev Nachev, Foundation modelling of the human brain (人类大脑基础建模)

Invited Session Talk 3,4

Ze Wang, Machine Learning in Medical Imaging (机器学习在医学影像中的应用研究)

Yao Li, Intelligent MR Image Segmentation of the Brain (智能磁共振脑影像分割)

BootCamp Training 2:

Shanbao Tong, Statistic fallacies and data leakages in biomedical data analysis (生物医学数据分析中的统计谬误和数据泄漏问题)

Day 4 (Aug 2)

Keynote 5:

Zhi-Pei Liang,  SPICEx: Towards an Omni Imaging Technology for Brain Mapping (SPICEx：全能脑成像技术)

Invited Session Talk 5,6

Yao Li, Towards Unraveling the Molecular Fingerprints of Brain Disorders (脑疾病分子指纹探究)

Xiaoyong Zhang, Developing intelligent diagnosis and image generation models for brain diseases based on a single MRI modality （基于单一MRI模态的智能诊断和图像生成模型在大脑疾病中的应用）

Industrial Tour

Day 5 (Aug 3)

Keynote 6

Dan Wu, Mapping the brain connectome from macro-, meso-, and microscopic MRI (基于宏观、介观和微观MRI绘制大脑连接组图谱)

Invited Session Talk 7,8

Dan Wu, Spatiotemporal atlas of the developing brain (发育中大脑的时空图谱)

Yu Sun, Passive Brain-computer Interface: New frontier of neural engineering（被动式脑机接口：神经工程前沿）

Student Presentations

Closure 

供稿单位 | 国际合作办公室

作者 | 徐嘉阳

审核 | 童善保