Department of Biomedical Engineering Department of Electronic … · 2018. 7. 30. · Technology, US 2002-2004 Postdoctoral Fellow, Cold ... images of arrhythmia patients without

清华大学电子工程系 Department of Electronic Engineering

Tsinghua University

清华大学生物医学工程系 Department of Biomedical Engineering Tsinghua University

SONG Sen

Associate professor Dept. of Biomedical Engineering Tsinghua University

2010-Present Principal Investigator, Medical School, Tsinghua University 2004-2010 Postdoctoral Fellow, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, US 2002-2004 Postdoctoral Fellow, Cold Spring Harbor Laboratory, US 2001-2002 Computational Biologist, GPC Biotech, US 1996-2002 PhD candidate, Department of Biology, Brandeis University, US 1994-1996 B.A., University of Mississippi, US

Med Sci BLDG, RM B208 Dept. of Biomedical Engineering Tsinghua University Beijing, China, 100084 +86-10-62773357 [email protected]

RESEARCH FOCUS

PUBLICATIONS

Liao F, Chen X, Hu X*, Song S* (2017). Estimation of the volume of the left

ventricle from MRI images using deep neural networks. IEEE Transactions on

Cybernetics, 1–10 (co-corresponding)

Zhu C, Yao Y, Xiong Y, Cheng M, Chen J, Zhao R, Liao F, Shi R, Song S* (2017)

Somatostatin Neurons in the Basal Forebrain Promote High-Calorie Food

Intake , Cell Reports, 20(1): 112~123

Li X, Steffens David C, Potter GG, Guo H, Song S, Wang L* (2017). Decreased

between-hemisphere connectivity strength and network efficiency in geriatric

depression. Human Brain Mapping 38: 53-67

Wang Q, Zhang J, Song S*, Zhang Z*. (2014) Attentional Neural Network:

Feature Selection Using Cognitive Feedback. Advances in Neural Information

Processing Systems, 2033-2041 (co-corresponding author)

Song S, Miller K, Abbott LF* (2000) Competitive Hebbian learning through

spike-timing-dependent synaptic plasticity. Nature Neuroscience, 3:919-926.

For more information, please visit http://www.ncbi.nlm.nih.gov/pubmed/?term=Song+Sen%5BAuthor+-+Full%5D http://neuroscience.cn/

My lab is interested in two questions: 1 why human can do intelligent things that

computers cannot do. 2 what is a good life. I am glad that I found out that I can

tackle these fundamental questions with the tools provided by modern

neuroscience. We are working on brain-inspired artificial intelligence and solving

the neural circuit basis for emotions and decision making. We are also interested

in medical problems, like depression and anxiety disorders, which challenge us

and makes life difficult for many people. On this front, we are developing brain-

inspired AI for medical diagnosis and students in the lab won the Kaggle 2017

Datasciencebowl competition for CT based lung cancer diagnosis. We are also

interested in neurofeedback based methods and music therapy for mood

disorders and improving quality of life in general.

• Computational Neuroscience, Neuroinformatics, Artificial Intelligence,

Comparative Genomics and Bioinformatics.

• Solving Circuitry for Emotions and Developing Drugs to Treat Emotional

Disorders.

• Connectomics and Functional Connectomics, Elucidating the Function of

Neuronal Circuits and How they compute.

• Optical Imaging and Optogenetics.

• Solving Gene Circuits and Synthesizing Artificial Gene Circuits.


Tsinghua University

LI Rui

Research Associate Professor Dept. of Biomedical Engineering Tsinghua University

2011-Present Research Associate Professor,,School of Medicine, Tsinghua University 2009-2011 Research Fellow, Radiology Department, University of Washington 2005-2009 Engineer, Beijing Wandong Medical Equipment Company 2000-2005 Ph.D. Candidate, Electronics Engineering Department, Tsinghua University 1996-2000 B.S., Electronics Engineering Department, Tsinghua University

RM 121 Center for Biomedical Imaging Research, Tsinghua University Beijing, China, 100084 +86-10-62785758 [email protected]

RESEARCH FOCUS

PUBLICATIONS Sun A, Zhao B, Li Y, He Q, Li R*, Yuan C. Real-time phase-contrast flow

cardiovascular magnetic resonance with low-rank modeling and parallel imaging. Journal of Cardiovascular Magnetic Resonance. 2017 Feb 10;19(1):19.

Zhao X, Li R*, Hippe DS, Hatsukami TS, Yuan C. Chinese Atherosclerosis Risk Evaluation (CARE II) study: a novel cross-sectional, multicentre study of the prevalence of high-risk atherosclerotic carotid plaque in Chinese patients with ischaemic cerebrovascular events—design and rationale. Stroke and Vascular Neurology. 2017 Mar 1;2(1)15-20.

Sun A, Zhao B, Ma K, Zhou Z, He L, Li R*, Yuan C. Accelerated phase contrast flow imaging with direct complex difference reconstruction. Magnetic resonance in medicine. 2017 Mar 1;77(3):1036-48.

Zhou Z, Wang J, Balu N, Li R*, Yuan C. STEP: Self‐supporting tailored k‐space estimation for parallel imaging reconstruction. Magnetic resonance in medicine. 2016 Feb 1;75(2):750-61.

Zhou Z, Li R*, Zhao X, He L, Wang X, Wang J, Balu N, Yuan C. Evaluation of 3D multi-contrast joint intra-and extracranial vessel wall cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 2015 May 27;17(1):1.

For more information, please visit http://cbir.med.tsinghua.edu.cn/

My research focused on Cardiovascular Magnetic Resonance Imaging technique development, including Plaque Imaging and 4D Flow Imaging.

For Plaque Imaging, we have developed 15 mins multi-contrast large coverage black blood imaging sequences for neurovascular plaque screening and vulnerable plaque discrimination. We have conducted multi-center trial with this technique in 14 imaging sites recruited more than 1,000 patients. We further investigated deep learning algorithm to analyze plaque image quality, plaque morphology and plaque composition automatically.

For 4D Flow Imaging, we have developed partial separable complex difference constrained reconstruction algorithm with acceleration fact of 8. We further designed ‘real-time’ 2D phase contrast and 4D flow technique to acquire flow images of arrhythmia patients without cardiac triggering. We apply 4D flow to investigated hemodynamic features of intracranial aneurysm, pulmonary hypertension and pulsatile tinnitus.



Tsinghua University

YUAN Chun

Professor Dept. of Biomedical Engineering Tsinghua University

2010-Present Professor, BME Dept., Tsinghua University, Beijing, China 2010-Present Director, Center for Biomedical Imaging Research, Tsinghua University, Beijing, China 2012-Present Professor of Bioengineering, University of Washington, Seattle, WA (joint with Radiology, effective June 14, 2012) 2001-Present Professor of Radiology, University of Washington, Seattle, WA 2001-2012 Adjunct Professor of Bioengineering, University of Washington, Seattle, WA 1997-Present Director of the Vascular Imaging Laboratory, School of Medicine, University of Washington, Seattle, WA 1997-2001 Associate Professor of Radiology, University of Washington, Seattle, WA 1997-2001 Adjunct Associate Professor of Electrical Engineering and Bioengineering, University of Washington, Seattle, WA 1991-1997 Assistant Professor of Radiology, University of Washington, Seattle, WA 1983-1988 Ph.D. in medical Biophysics and Computing, University of Utah, Salt Lake City, Utah 1978-1982 B.S. in physics, Beijing Normal University, Beijing, China

CBIR, RM 102 Dept. of Biomedical Engineering Tsinghua University Beijing, China, 100084 +86-10-62796175 [email protected]

RESEARCH FOCUS

PUBLICATIONS Yuan C, Polissar NL, Hatsukami TS. What will noninvasive carotid

atherosclerosis imaging show us about high-risk coronary plaques? J Am Coll

Cardiol. 2011 Jul 19;58(4):423-5

Underhill HR, Hatsukami TS, Fayad ZA, Fuster V, Yuan C. MRI of carotid

atherosclerosis: clinical implications and future directions. Nature Reviews

Cardiology 2010 Mar;7(3):165-73. Epub 2010 Jan 26.

Underhill HR, Yuan C, Yarnykh VL. Direct quantitative comparison between

cross-relaxation imaging and diffusion tensor imaging of the human brain at

3.0T. Neuroimage 2009; 47:1568-1578.

Saam T, Underhill HR, Chu B, Takaya N, Cai J, Polissar NL, Yuan C, Hatsukami

TS. Prevalence of American Heart Association type VI carotid atherosclerotic

lesions identified by magnetic resonance imaging for different levels of

stenosis as measured by duplex ultrasound. Journal of the Ameri can College

of Cardiology, 2008; Mar 11;51(10):1014-21.

Underhill HR, Yarnykh VL, Hatsukami TS, Wang J, Balu N, Hayes CE, Oikawa M,

Yu W, Xu C, Chu B, Wyman BT, Polissar NL, Yuan C. Carotid plaque

morphology and composition: initial comparison between 1.5- and 3.0-T

magnetic field strengths. Radiology. 2008: 248(2): 550-560.


Since last century, medical imaging has not only become a critical tool in the

diagnosis of many diseases and injuries but also a tool to understand many basic

biologic and functional features of human from cells to organs and from heart to

brain functions. Imaging itself, developed in parallel with many specialty field on

engineering, especially electrical, computer, biomedical engineering, and

material science, has become a futile ground for new technical development and

advancement. I am interested in all aspects of imaging, from the engineering and

physics basics to its eventual use in clinical and basic science research. I believe

imaging’s role in future diagnosis and research will grow even future into cellular

and molecular diagnosis and evaluation.

• Cardiovascular MRI.

• High resolution MRI technique.

• MRI clinical research.



Tsinghua University

GUO Hua

Associate Professor Dept. of Biomedical Engineering Tsinghua University

Hua Guo received his Ph.D. from the department of biomedical engineering at Duke University in 2006. Before joining Tsinghua University School of Medicine, he was an assistant professor in department of radiology of New York University and once worked in Siemens and the University of Hong Kong.


RESEARCH FOCUS

PUBLICATIONS


• MRI physics including novel sequence design and image reconstruction.

• Multi-parametric quantitative imaging and functional imaging.

• MRI Liver imaging.

Zijing Dong, Fuyixue Wang, Timothy G. Reese, Mary Kate Manhard, Berkin Bilgic, Lawrence L. Wald, Hua Guo, Kawin Setsompop, Tilted-CAIPI for Highly Accelerated Distortion-Free EPI with Point Spread Function (PSF) Encoding, Magnetic Resonance in Medicine, 2018. Accepted.

Erpeng Dai, Zhe Zhang, Xiaodong Ma, Zijing Dong, Xuesong Li, Yuhui Xiong, Chun Yuan, and Hua Guo*, The Effects of Navigator Distortion and Noise Level on Interleaved EPI DWI Reconstruction: A Comparison between Image- and k-space-based Method, Magnetic Resonance in Medicine, 2018. Accepted.

Yishi Wang, Yajie Wang, Zhe Zhang, Yuhui Xiong, Qiang Zhang, Chun Yuan, Hua Guo*， Segmentation of Gray Matter, White Matter and CSF with Fluid and White Matter Suppression using MP2RAG, Journal of Magnetic Resonance Imaging, 2018. Accepted.

Zijing Dong, Fuyixue Wang, Xiaodong Ma, Zhe Zhang, Erpeng Dai, Chun Yuan, Hua Guo*, Interleaved EPI Diffusion Imaging using SPIRiT-based Reconstruction with Virtual Coil Compression, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.26768, 2017.

Xuesong Li, Xiaodong Ma, Lyu Li, Zhe Zhang, Xue Zhang, Yan Tong, Lihong Wang, Sen Song, Hua Guo*, Dual-TRACER: high resolution fMRI with constrained evolution reconstruction, NeuroImage, 2017, DOI: 10.1016/j.neuroimage.2017.02.087.



Tsinghua University

ZHAO Xihai


2010-present Principle Investigator, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China 2007-2010 Postdoc, Department of Radiology, University of Washington, Seattle, USA. 2004-2007 PhD degree, Radiology, Chinese PLA Postgraduate Medical School, Beijing, China 2001-2004 Master Degree, Radiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China 1999-2007 Radiologist , Department of Radiology Yangzhou First People’s Hospital, Yangzhou, China 1994-1999 Bachelor Degree, Medical Imaging (Clinical medicine), Harbin Medical University, Harbin, China


RESEARCH FOCUS

For more information, please visit http://www.ncbi.nlm.nih.gov/pubmed/?term=Xihai+Zhao http://cbir.med.tsinghua.edu.cn/

Dr. Zhao devoted most of his time to medical research in assessment of the

cardiovascular risk of Chinese population by characterizing the atherosclerosis

disease in multiple vascular beds, including intracranial artery, carotid artery,

aortic arch, and femoral artery, with state-of-the art MR vessel wall imaging

techniques. In this field, he has published 65 research articles in the top peer-

reviewed journals on cardiovascular disease and imaging, including Stroke, ATVB,

JCMR, JAHA, Atherosclerosis, AJNR, European Radiology, MRM, and JMRI. As

principle investigator, Dr. Zhao has received research funding from Natural

Science of Foundation of China, Ministry of Science and Technology of China

(National Key R & D Plan in 13th Five-Year), and Beijing Municipal Science and

Technology Commission. He conceived and/or took lead a series of clinical trials

and cohort studies in China, such as CARE-II study (n=1000, multicenter study,

2012-2015, NCT02017756), CROP (n=200, community study, 2012-2015), REALM

(n=160, multicenter study, 2014-2018, NCT02041117), CAMERA (n=1000,

community study, 2015-2018), and ICASMAP (n=300, multicenter study, 2017-

2021, NCT03417063). Dr. Zhao has received Jim Pochen Award from International

Society of Magnetic Resonance Angiography in 2012.

PUBLICATIONS Lu M, Peng P, Cui Y, Qiao H, Li D, Cai J, Zhao X. Association of Progression of

Carotid Artery Wall Volume and Recurrent Transient Ischemic Attack or Stroke: A Magnetic Resonance Imaging Study. Stroke. 2018 Mar;49(3):614-620.

Li D, Zhao H, Chen X, Chen S, Qiao H, He L, Li R, Xu J, Yuan C, Zhao X. Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study. Eur Radiol. 2018 Apr;28(4):1681-1686.

Zhao X, Hippe DS, Li R, Canton GM, Sui B, Song Y, Li F, Xue Y, Sun J, Yamada K, Hatsukami TS, Xu D, Wang M, Yuan C; CARE‐II Study Collaborators. Prevalence and Characteristics of Carotid Artery High-Risk Atherosclerotic Plaques in Chinese Patients With Cerebrovascular Symptoms: A Chinese Atherosclerosis Risk Evaluation II Study. J Am Heart Assoc. 2017 Aug 14;6(8). pii: e005831.

Lin R, Chen S, Liu G, Xue Y, Zhao X. Association Between Carotid Atherosclerotic Plaque Calcification and Intraplaque Hemorrhage: A Magnetic Resonance Imaging Study. Arterioscler Thromb Vasc Biol. 2017 Jun;37(6):1228-1233.

Xu Y, Yuan C, Zhou Z, He L, Mi D, Li R, Cui Y, Wang Y, Wang Y, Liu G, Zheng Z, Zhao X. Co-existing intracranial and extracranial carotid artery atherosclerotic plaques and recurrent stroke risk: a three-dimensional multicontrast cardiovascular magnetic resonance study. J Cardiovasc Magn Reson. 2016 Dec 2;18(1):90.



Tsinghua University

LUO Jianwen


2016 Supported by Young Scientists Project of National Key R&D Program of China

2013 Supported by Excellent Young Scientists Fund of National Natural Science Foundation of China (NSFC)

2012 Enrolled in Thousand Young Talents Program of China

2011 Principal Investigator, Department of Biomedical Engineering, Tsinghua University, China

2009-2011 Associate Research Scientist, Department of Biomedical Engineering, Columbia University, USA

2005-2009 Postdoctoral Research Scientist, Department of Biomedical Engineering, Columbia University, USA

2000-2005 Ph.D., Department of Biomedical Engineering, Tsinghua University, China

1996-2000 B.S., Department of Electrical Engineering, Tsinghua University, China


RESEARCH FOCUS

PUBLICATIONS (Selected from >230) Cai C, Deng K, Ma C, Luo J. End-to-end deep neural network for quantitative

photoacoustic imaging. Optics Letters 2018, 43(12): 2752-2755 (Highlighted as an Editor's Pick).

Liu J, He Q, Luo J. Compressed sensing based synthetic transmit aperture imaging: Validation in a convex array configuration. IEEE Trans Ultrasonics, Ferroelectrics, and Frequency Control 2018, 65(3): 300-315 ((Highly cited articles - July 2018 edition).

Liu Z, Huang C, Luo J. A systematic investigation of lateral estimation using various interpolation approaches in conventional ultrasound imaging. IEEE Trans Ultrasonics, Ferroelectrics, and Frequency Control 2017, 64(8): 1149-1160.

Liu J, He Q, Luo J. A compressed sensing strategy for synthetic transmit aperture ultrasound imaging. IEEE Trans Medical Imaging 2017, 36(4): 878-891.

Zhao F, Tong L, He Q, Luo J. Coded excitation for diverging wave cardiac imaging: A feasibility study. Physics in Medicine and Biology 2017, 62(4): 1565-1584 (Highlights of 2017)

Guang H, Cai C, Zuo S, Cai W, Zhang J, Luo J. Multiparametric evaluation of hindlimb ischemia using time-series indocyanine green fluorescence imaging. Journal of Biophotonics 2017, 10(3): 456-464 (Back Cover Images)

Cai W, Guang H, Cai C, Luo J. Effects of temperature on multiparametric evaluation of hindlimb is chemia with dynamic fluorescence imaging. Journal of Biophotonics 2017, 10(6-7): 811–820 (Inside Back Cover Images)

Zhang J, Shi J, Zuo S, Liu F, Bai J, Luo J. Iterative correction scheme based on discrete cosine transform and L1 regularization for fluorescence molecular tomography with background fluorescence. IEEE Trans Biomedical Engineering 2016, 63(6): 1107-1115.

Zhang X, Liu F, Zuo S, Shi J, Zhang G, Bai J, Luo J. Reconstruction of fluorophore concentration variation in dynamic fluorescence molecular tomography. IEEE Transactions on Biomedical Engineering 2015, 62(1):138-144.

For more information, please visit http://www.researcherid.com/rid/D-5612-2011 Lab Website: http://cbir.med.tsinghua.edu.cn/

• Ultrasound Imaging • Fluorescence Molecular Imaging • Photoacoustic Imaging

Ultrasound research platform

Transit/receive beamforming

Motion/deformation estimation

Cardiovascular applications

Ultrasound Imaging

Fluorescence Molecular Imaging

Imaging system Biomedical applications Image reconstruction



Tsinghua University

LIAO Hongen


Dr. Hongen Liao received his B.S. degree in mechanics and engineering sciences from Peking University, Beijing, China, in 1996, and the M.E. and Ph.D. degrees in biomedical precision engineering from the University of Tokyo, Tokyo, Japan, in 2000 and 2003, respectively. He was a Research Fellow of Japan Society for the Promotion of Science (JSPS). Since 2004, he has been a faculty member at the Graduate School of Engineering, The University of Tokyo, where he became an Associate Professor in 2007. He has been selected as a National “Thousand Talents” Distinguished Professor, National Recruitment Program of Global Experts, China since 2010, and is currently a Full Professor and Vice Director in the Department of Biomedical Engineering, School of Medicine, Tsinghua University, China. He is a President of Asian Society for Computer Aided Surgery and Secretary of Asian-Pacific Activities Working Group, International Federation for Medical and Biological Engineering (IFMBE).

Med Sci BLDG, RM A315 Dept. of Biomedical Engineering Tsinghua University Beijing, China, 100084 +86-10-62793759 [email protected]

RESEARCH FOCUS

PUBLICATIONS

F. Chen, J. Liu, and H. Liao*: 3D Catheter Shape Determination for

Endovascular Navigation using a Two-step Particle Filter and Ultrasound

Scanning, IEEE Transactions on Medical Imaging, Vol. 36, No.3, pp.685-695,

2017.

X. Zhang, G. Chen, and H. Liao*: High Quality See-Through Surgical Guidance

System Using Enhanced 3D Autostereoscopic Augmented Reality, IEEE

Transactions on Biomedical Engineering, 2016 (Online, DOI

10.1109/TBME.2016.2624632).

Z. Fan, S. Zhang, Y. Weng, G. Chen, H. Liao*: 3D Quantitative Evaluation

System for Autostereoscopic Display, IEEE/OSA Journal of Display Technology,

Vol.12, No.10, pp.1185-1196, 2016.

H. Liao*: Super long viewing distance light homogeneous emitting three-

dimensional display, Scientific Reports, 5: 9532, 2015.

J. Wang, H. Suenaga, K. Hoshi, L. Yang, E. Kobayashi, I. Sakuma, and H. Liao*:

Augmented Reality Navigation With Automatic Marker-Free Image

Registration Using 3D Image Overlay for Dental Surgery, IEEE Transactions on

Biomedical Engineering, Vol.61, No.4, pp.1295-1303, 2014.

For more information, please visit http://at3d.med.tsinghua.edu.cn/

The Advanced Theranostics and 3-D Imaging Laboratory (AT3D Lab.) is a research and teaching laboratory in Tsinghua University. The laboratory was founded by Professor Hongen Liao in 2012, as supported by National Recruitment Program of Global Experts in China. The Lab includes three faculty members, 12 graduate students, and eight undergraduate students. The AT3D Lab. and its previous teams have been involved in the development of image-guided surgery, three-dimensional (3D) medical images, medical robotics and fusion of these techniques for minimally invasive precision diagnosis and therapy for about 20 years. We have developed an autostereoscopic medical image named Integral Videography and first implemented it in an image overlay system for surgical navigation, and succeeded in creating an image display that appears to have three dimensionality even when viewed from a distance, with an image depth of more than five meters in front of the display. These results have also been reported by numerous international media including USA, UK, Germany, Russia, and Japan. The developed 3D display devices have been demonstrated at more than 10 exhibitions and museums, including Hannover International Exposition, National Museum of Emerging Science and Innovation in Japan, and China Science and Technology Museum. We have published more than 220 peer-reviewed articles and proceedings papers including publications in MedIA, Nature Photonics, and IEEE Transactions, more than 20 book chapters and survey reports, 36 patents, as well as over 290 abstracts and numerous invited lectures. Our research interests include the development of related autostereoscopic medical imaging technique and its implementation in an image-overlay system for surgical navigation. This technique has also been extended to other 3D areas, such as long-viewing-distance 3D visualization and a high-quality autostereoscopic display. Our current research projects also include the development of high-precision minimally invasive interventional surgical devices and medical robotics, novel medical autostereoscopic image, as well as integrated medical images for minimally invasive precision diagnosis and therapy.



Tsinghua University

WANG Guangzhi

Professor Dept. of Biomedical Engineering Tsinghua University 2004-present Professor, Department of Biomedical Engineering, Tsinghua University, China 1994-2003 Associate Professor, Department of Electrical Engineering, Tsinghua University, China 1997-1998 Visiting Scientist, Medical School, Northwestern University, USA, 1990-1994 Assistant professor Department of Electrical Engineering, Tsinghua University, China 1987-1990 Research associate, Tsinghua University, China

Med Sci BLDG, RM C210 Dept. of Biomedical Engineering Tsinghua University Beijing, China, 100084 +86-10-62794377 [email protected]

RESEARCH FOCUS

PUBLICATIONS

Pu Zhang, Guoqing Wan, Fei Li, Xingdong Li, Wenli Liu, and Guangzhi Wang, A novel objective method for assessing high contrast spatial resolution in CT based on the Rayleigh criterion, Medical Physics, 2017, 44 (2), 460-469.

Minglei Yang, Hui Ding, Jingang Kang, Longfei Cong, Lei Zhu, Guangzhi Wang, Local Structure Orientation Descriptor Based on Intra-Image Similarity for Multimodal Registration of Liver Ultrasound and MR Images. Computers in Biology and Medicine, 2016, 76(9): 69–79.

Minglei Yang, Hui Ding, Jingang Kang, Lei Zhu, Guangzhi Wang, Subject-specific real-time respiratory liver motion compensation method for ultrasound-MRI/CT fusion imaging, International Journal of Computer Assisted Radiology and Surgery, 2015, 10(4): 517–529.

Mengjiao Wang, Gregory C. Sharp, Simon Rit, Vivien Delmon, Guangzhi Wang, 2D/4D marker-free tumor tracking using 4D CBCT as the reference image, Physics in Medicine and Biology, 2014, 59: 2219-2233.

Wenbo Liu, Hua Guo, Xiaofei Du, Wenjing Zhou, Guangming Zhang, Hui Ding, Guangzhi Wang, Cortical vessel imaging and visualization for image guided depth electrode insertion, Computerized Medical Imaging and Graphics, 2013, 37(2):123-130.

For more information, please visit http://www.med.tsinghua.edu.cn/SLCServlet?slan=1

The research in my laboratory is focused on medical image processing\analysis,

rigid and non-rigid registrations, and image based interventions. We use

modeling and simulation technique to extract the three dimensional (3D) model

of anatomical structure and analyze the feature of the 3D images. Based on the

3D models constructed from medical images, kinematics and dynamics analysis

and motion tracking, several techniques were developed to help the doctor and

surgeon to perform more precise detection and plan the treatment in

neurosurgery and orthopedics practice.



Tsinghua University

CHEN Huijun


2018-now Tenured Associate Professor, Department of Biomedical Engineering, School of Medicine, Tsinghua University. 2015-2018 Tenure Track Associate Professor, Department of Biomedical Engineering, School of Medicine, Tsinghua University. 2012-2015 Tenure Track Assistant Professor, Department of Biomedical Engineering, School of Medicine, Tsinghua University. 2008-2012 Senior Fellow, Department of Radiology, University of Washington. 2003-2008 Ph. D in Mechanics (Biomechanical and Biomedical Engineering), Peking University. 1999-2003 B. S. in Computer Science and Technology, China University of Geosciences (Beijing)


RESEARCH FOCUS

PUBLICATIONS Haikun Qi, Jie Sun, Shuo Chen, Zechen Zhou, Xinlei Pan, Yishi Wang, Xihai

Zhao, Rui Li, Chun Yuan, Huijun Chen*. Carotid intraplaque hemorrhage imaging with quantitative vessel wall T1 mapping: technical development and initial experience. Radiology 2018 Apr;287(1):276-284.

Jia Ning, Yongliang Sun, Sheng Xie, Bida Zhang, Feng Huang, Peter Koken, Jouke Smink, Chun Yuan, Huijun Chen*, Simultaneous acquisition sequence for improved hepatic pharmacokinetics quantification accuracy (SAHA) for dynamic contrast-enhanced MRI of liver. Magnetic Resonance in Medicine 2018;79(5):2629-2641

Haikun Qi, Feng Huang, Zechen Zhou, Peter Koken, Niranjan Balu, Bida Zhang, Chun Yuan, Huijun Chen*. Large coverage black-bright blood interleaved imaging sequence (LaBBI) for 3D dynamic contrast-enhanced MRI of vessel wall. Magnetic Resonance in Medicine. 2018;79(3):1334-1344.

Juan Wang, Huijun Chen (co-first author), Jie Sun (co-first author), Daniel S Hippe, Huawei Zhang, Shengyuan Yu, Jianming Cai, Leixing Xie, Bao Cui, Chun Yuan, Xihai Zhao, Weimin Yuan, Hongbin Liu. Dynamic contrast-enhanced MR imaging of carotid vasa vasorum in relation to coronary and cerebrovascular events. Atherosclerosis. 2017;263:420-426.

Tingting Wu, Jinnan Wang, Yan Song, Xiaotao Deng, Anqi Li, Juan Wei, Le He, Xihai Zhao, Rui Li, Zechen Zhou, Wenchuan Wu, Juan Huang, Sheng Jiao, Chun Yuan, Huijun Chen*. Homologous Black-Bright-blood and flexible Interleaved imaging sequence (HOBBI) for Dynamic Contrast-enhanced MRI of the vessel wall. Magnetic Resonance in Medicine 2015;73(5):1754-63

For more information, please visit http://www.ncbi.nlm.nih.gov/sites/myncbi/collections/public/1pOzFngFSjbVxiveyd2IfenQO/?sort=date&direction=ascending

My research interest is on quantitative physiological imaging using MRI. Different from most MR imaging methods that target structural information, my research focuses on the development of MR imaging methods to quantitatively characterize physiological and pathophysiological processes of human diseases in vivo. My work has led to multiple technological innovations, including MR imaging sequence design, image reconstruction, image post-processing, and physiological modeling, which allow physicians to noninvasively characterize the pathobiology of human diseases and monitor progression and/or regression with high accuracy and reliability. Then, by providing whole clinical MR solutions and carrying out translational clinical research, my research goal is to finally improving the prevention, diagnosis, clinical treatment route, and prognosis of diseases, especially in cardiovascular and liver diseases. In total, I have published 40 SCI cited papers, of which 28 papers were published in the recent 5 years. According to Google Scholar, I have 502 total citations and an H-index of 14. My group has not only published over 10 technical papers in top journals in MRI: MRM, but also several papers in top clinical journals, such as Radiology, Stroke, Atherosclerosis, etc. I have also presented over 80 ISMRM or AHA abstracts, of which over 70 were in the recent 5 years. Currently, I am a Committee Member of the RSNA Quantitative Imaging Biomarkers Alliance (QIBA) Perfusion Diffusion Function MRI (PDF-MRI) Technical Committee, a Committee Member of the Chinese Stroke Association: Chinese Society of Cerebral Blood Flow and Metabolism, and a Young Committee Member of the Chinese Society of Biomedical Engineering: Chinese Society of Medical Physics. I am also a member of ISMRM, SMRA and SCMR. I have been invited as the session moderator in ISMRM. I have been regularly reviewing manuscripts and international meetings, including Stroke, European Radiology, Medical Physics, Annual meeting of ISMRM, IEEE Transactions on Biomedical Engineering, et al.



Tsinghua University

CHENG Jing


2000-present Professor, Director, Medical Systems Biology Research Center, Tsinghua University School of Medicine, China Director, National Engineering Research Center for Beijing Biochip Technology, Beijing, China CEO, CapitalBio Corporation, Beijing, China 1999-2000 Professor, Department of Biological Sciences and Biotechnology, Tsinghua University, China 1996-1999 Principal Scientist/Engineer, Nanogen Inc, USA 1996-1996 Research Assistant Professor, School of Medicine, University of Pennsylvania, USA 1994-1996 Postdoctoral Research Fellow, University of Pennsylvania, USA 1993-1994 Postdoctoral Research Fellow, University of Aberdeen, UK 1992-1993 Postdoctoral Research Fellow, University of Strathclyde, UK 1988-1989 Visiting Researcher, University of Strathclyde, UK 1986-1988 Lecturer of Criminalistics, Southwestern University of Political Science and Law, Chongqing, China 1983-1986 Electrical Engineer, Ziyang Internal Combustion Locomotive Factory of Railway Ministry, Ziyang, China 1989-1992 Ph. D., University of Strathclyde, UK 1979-1983 B. Eng., Electrical Engineering, Tongji University, China


RESEARCH FOCUS

PUBLICATIONS Meng, X., Zhu, Y., Chen, Y., Lu, Y., Xu, Y. and Cheng, J. "Conditional siphon

priming for multi-step assays on centrifugalmicrofluidic platforms" Sensors

and Actuators B: Chemical, 2017, 242: 710-717

Xu, Y., Xie, X., Duan, Y., Wang, L., Cheng, Z. and Cheng, J. (2016)“A review of

impedance measurements of whole cells” Biosensors and Bioelectronics,

2016, 77: 824-836

Xie, X., Liu, R., X,u Y., Wang, L., Lan, Z., Chen, W., Liu, H., Lu, Y., Cheng, J. "In

vitro hyperthermia studied in a continuous manner using electric impedance

sensing" RSC Advances, 2015, 5(76):62007-62016

Liu, W., Chen,W., Liu, ., Ou,Y., Liu, H., Xie, L., Lu,Y., Li,C., Li,B., Cheng,

J."Separation of sperm and epithelial cells based on the hydrodynamic effect

for forensic analysis" Biofluidics, 2015, 9(4):044127

Li, Z., Liu, W., Qiu, T., Xie, L., Chen, W., Liu, R., Lu, Y., Mitchelson, K., Wang, J.,

Qiao, J. Cheng, J."The construction of an interfacial valve-based microfluidic

chip for thermotaxis evaluation of human sperm" Biomicrofluidics, 2014,

8:024102


As one of the best universities in China, Tsinghua is devoting itself to cultivate

academic leaders in every possible fields. Interest is the most important driving

force in scientific discovery. After years of exploration, I’ve derived my own way

in training students. It just like a swimming training class. Normally I will ask my

new students to start their laboratory life without guidance for a couple of

months, and most often they will get drowned. I’ll then pull them out, discuss

their personal interest, make necessary changes in their study, and share with

them experimental skills and also the appropriate learning methodologies. In this

way, the students can quickly identify their interest and manage to become a

good swimmer in a relatively short time.

Besides doing scientific research, I also will spare my time to educate my students

some basic knowledge in commercializing their technological innovations. Since I

deeply believe that only when the students have had both the scientific

knowledge and the business sense, then they can find good jobs and do them

well.

• The design and development of biochips: Develop novel biochips including

microarrays, microfluidics chips and lab-on-a-chip devices for mutation

detection, gene expression, protein analysis, cell assay, etc.

• Translational study in using chips for personalized medicine: Emphasize

application of biochips for personalized medical applications in oncology,

inherited diseases, infectious diseases, reproductive medicine etc.

• The study of new detection methods: Interested in developing new

labeling and labelless detection technologies.



Tsinghua University

HUANG Guoliang



RESEARCH FOCUS

PUBLICATIONS Qi Li, Rongxin Fu，Junqi Zhang, Ruliang Wang, Jiancheng Ye, Ning Xue, Xue

Lin, Ya Su, Wupeng Gan, Ying Lu, and Guoliang Huang*, A label-free method using weighted-phase algorithm to quantitate nanoscale interactions between molecules on DNA microarray, Analytical Chemistry, 2017, DOI:10.1021/acs. analchem.6b04596.

Junqi Zhang, Rongxin Fu, Liping Xie, Qi Li, Wenhan Zhou, Ruliang Wang, Jiancheng Ye, Dong Wang, Ning Xue, Xue Lin, Ying Lu and Guoliang Huang*，A smart device for label-free and real-time detection of gene point mutations based on the high dark phase contrast of vapor condensation，Lab on a Chip, V15, p3891–3896, 2015.

Guoliang Huang*, Qin Huang, Li Ma, Xianbo Luo, Biao Pang, Zhixin Zhang, Ruliang Wang, Junqi Zhang, Qi Li, Rongxin Fu, and Jiancheng Ye, fM to aM nucleic acid amplification for molecular diagnostics in a non-stick-coated metal microfluidic bioreactor, Scientific Reports, V4(7344),p1-9, 2014.

Tongzhou Wang, Qiang Li, Xin Li, Songmin Zhao, Ying Lu and Guoliang Huang*, Use of hyperspectral imaging for label-free decoding and detection of biomarkers, Optics Letters,V38, p1524-26, 2013.

Xin Li, Zhuoqi Li, Wupeng Gan,Tongzhou Wang, Songmin Zhao,Ying Lu, Jing Cheng and Guoliang Huang*, Sensitive and High Resolution Subcutaneous Fluorescence in vivo Imaging Using Upconversion Nanoparticles and Microarray, Analyst, V138, p3711-3718, 2013.


My research interests focus on the research and innovation of biomedical detection technology and instruments, including biochip detection, micro drop fiber-optic-sensing spectral analysis, microfluidic chip precision medicine molecular diagnosis, in situ measurement of living cells and assisted reproductive evaluation, small animal double mode coaxial and simultaneous in vivo molecular imaging, shadowless imaging of the white of human eye for the Chinese medicine eye-like health analysis, etc. Major research achievements are as following: Have finished more than 20 projects supported by the National Natural Science

Foundation, 863 Chinese National Programs for High Technology Research and Development, 973 Key Project of the Chinese National Programs for Fundamental Research and Development, and the Foundations from the National Ministry of Science and Technology, or other provinces and municipalities. Twenty-two patents have also been authorized, including seven items international patents, the conversion rate of patent achievements is >70%.

More than 90 papers covering the major achievements have been published in Lab on a Chip，Clinical Chemistry，Analytical Chemistry，Scientific Reports, Optics Letters, etc. The total SCI IF is >100, the highest single quote is >60, 9 articles are with SCI IF greater than 5, and 16 papers belong to top journal in the biochip field, and authoritative journals in the biomedical engineering, optics and analysis fields. Three books were published, one of them is national planning textbooks, the other won the Gold Award.

Actively promote "Production-Learning-Research-Medicine" collaborative innovation and industrialization of research results. Six scientific research achievements have been industrialized, and more than RMB 250 million Yuan and 6 million dollar direct economic benefits have been obtained. As well as two CFDA authorization of national innovating medical device product, one class-III and two class-II certificates of registration of medical device products, two CE certificates and two national standards were obtained.

Twenty items National, Provincial and Ministerial and others awards have also been obtained, including Second prize for National Technology Invention from the People's Republic of China Central People's Government, Second prize for the Beijing Science and Technology Award from the Beijing Municipal People's Government, First prize of the Science and Technology Award from the China Instrument and Control Society, etc.

2004-present Associate Professor,

Department of Biomedical

Engineering, the school of

medicine, Tsinghua University

1999-2003 Associate Professor,

Department of Precision

Instruments and Mechanology,

Tsinghua University

1995-1999 Engineer, Department of

Precision Instruments and

Mechanology, Tsinghua University

1991-1995 Ph.D. Optical Instrument,

Tsinghua University, CHINA

1988-1991 M.S. Physics, Beijing Normal

University, CHINA

1984-1988 B.S. Physics, Beijing Normal

University, CHINA



Tsinghua University

LIU Peng


2012-present Principal Investigator, School of Medicine, Tsinghua University 2010-2012 Postdoctoral Researcher, Sandia National Laboratories 2004-2009 Ph.D. Bioengineering, University of California at Berkeley 2000-2003 M.S. Biochemistry and molecular biology, Tsinghua University 1998-2000 B.E. Computer technology and application, Tsinghua University 1995-2000 B.E. Environmental Engineering, Tsinghua University


RESEARCH FOCUS

PUBLICATIONS Li, S., Gu, Y., Lyu, Y., Jiang, Y. and Liu, P.* Integrated graphene oxide

purification-lateral flow test strips (iGOP-LFTS) for direct detection of PCR products with enhanced sensitivity and specificity. Analytical Chemistry 89, 12137-12144 (2017).

Gan, W., Gu, Y., Han, J., Li, C., Sun, J. and Liu, P.* Chitosan-modified filter paper for nucleic acid extraction and “in situ PCR” on a thermoplastic microchip. Analytical Chemistry 89, 3568−3575 (2017).

Bian, S., Zhou, Y., Hu, Y., Cheng, J., Chen, X.*, Xu, Y.* and Liu, P.* High-throughput in situ cell electroporation microsystem for parallel delivery of single guide RNAs into mammalian cells. Scientific Reports 7, 42512 (2017).

Zhang, P., Zhang, J., Bian, S., Chen, Z., Hu, Y., Hu, R., Li, J., Cheng, Y., Zhang, X., Zhou, Y., Chen, X.* and Liu, P.* High-throughput superhydrophobic microwell arrays for investigating multifactorial stem cell niches. Lab on a Chip 16, 2996-3006 (2016). (Inside front cover)

Selected as 2016 Lab on a Chip Emerging Investigators. Zhuang, B., Han, J., Xiang, G., Gan, W., Wang, S., Wang, D., Wang, L., Sun, J., Li,

C. and Liu, P.* A fully integrated and automated microsystem for rapid pharmacogenetic typing of multiple warfarin-related single-nucleotide polymorphisms. Lab on a Chip 16, 86-95 (2016). (Inside front cover)


Microfluidics, DNA sequencing, Lab automation, Point-of-care.

Since the inception of microfluidic technology in 1990s, various miniaturized and

integrated microsystems have been developed and are poised to advance

analytical tools in scientific study, and even to change our daily lives. Aiming to

bring the microfluidics from laboratories to practical applications, the research in

my lab is focused on the development of integrated and miniaturized microfluidic

systems for high-performance genetic analysis, cell analysis and laboratory

automation. Currently, we have the following projects under development:

• Fully integrated microsystems for targeted DNA sequencing for clinical

diagnosis.

• Automated and portable microsystems for on-site forensic short tandem

repeat analysis.

• Microfluidic tools for separation and analysis of specific cells, such as

circulating tumor cells.

• Miniaturized and Integrated cell screening platforms for targeted gene editing.



Tsinghua University

GUO Yong


2010-Present Associate Professor, Department of Biomedical Engineering, Tsinghua University 2012-2014 Visiting Scholar, Department of Physics, Harvard University 2006-2009 Assistant Professor, School of Medicine, Tsinghua University 2001-2006 Tsinghua University, Ph.D. in Biology 1996-2001 Peking University Health Science Center, Bachelor in Clinical Medicine


RESEARCH FOCUS

PUBLICATIONS Tan X, Qin W, Zhang L, Hang J, Chen Z, Li B, Zhang C, Wan J, Zhou F, Shao K,

Sun Y, Wu J, Zhang X, Qiu B, Li N, Shi S, Feng X, Zhao S, Wang Z, Zhao X, Yu Z, Mitchelson K, Cheng J, Guo Y* and He J*. A 5-microRNA Signature for Lung Squamous Cell Carcinoma Diagnosis and hsa-miR-31 for Prognosis. Clinical Cancer Research. 2011, 17(21):6802-6811.

Guo H, Liu H, Mitchelson K, Luo M, Sun Y, Xie L, Zhang L, Lu Y, Zhou Y, Guo Y* and Cheng J*. MicroRNAs-372/373 Promote the Expression of Hepatitis B Virus Through the Targeting of Nuclear Factor I/B. Hepatology, 2011, 54(3):808-819.

Zhu L, Jiang G, Wang S, Wang C, Li Q, Yu H, Zhou Y, Zhao B, Huang H, Xing W, Mitchelson K, Cheng J, Zhao Y*and Guo Y*. Biochip System for Rapid and Accurate Identification of Mycobacteria Species from Isolates and Sputum. Journal of Clinical Microbiology, 2010, 48(10):3654-3660.

Guo Y, Zhou Y, Wang C, Zhu L, Wang S, Li Q, Jiang G, Zhao B, Huang H, Yu H, Xing W, Mitchelson K, Cheng J and Zhao Y. Rapid, Accurate Determination of Multidrug Resistance in M. Tuberculosis Isolates and Sputum Using a Biochip System. International Journal of Tuberculosis and Lung Disease, 2009, 13(7): 914-920.

Guo Y, Chen Z, Zhang L, Zhou F, Shi S, Feng, X, Li, B, Meng, X, Ma, X, Luo M, Shao K, Li N, Qiu B, Mitchelson K, Cheng J and He J. Distinctive MicroRNA Profiles Relating to Patient Survival in Esophageal Squamous Cell Carcinoma. Cancer Research, 2008, 68(1): 26-33.


We are actively involved in the basic and traslational research of molecular

diagnostics for infectious diseases, inherited diseases and cancer. The projects

include:

• tools development for single molecule and single cell analysis

• biomarker discovery.



Tsinghua University

LIU Ran

Research Associate Professor Dept. of Biomedical Engineering Tsinghua University

2016-Present Associate Professor, Tsinghua University 2010-2011 Visiting Scholar, Stanford University 2005-2016 Assistant Professor, Tsinghua University 2000-2005 Ph.D. & M.S., Tsinghua University 1996-2000 B.S., Tianjing University.


RESEARCH FOCUS

PUBLICATIONS Shinying Lau, Jie Fei, Haoran Liua, Weixing Chen, Ran Liu*, Multilayered

pyramidal dissolving microneedle patches with flexible pedestals for

improving effective drug delivery, Journal of Controlled Release,265,113-

119,2017.

Ran Liu*, Mingtian Zhang, Cuiyun Jin. In vivo and in situ imaging of controlled-

release dissolving silk microneedles into the skin by optical coherence,

Journal of Biophotonics, 1:1-8, 2016.

Jie Fei, Ran Liu*, Drug-laden 3D biodegradable label using QR code for anti-

counterfeiting of drugs, Materials Science and Engineering C, 63: 657-662,

2016.

Ran Liu*, Xueyao Yang, Jincui Yun, Jingjing Fu, Weixing Chen, Jing Liu.

Development of three-dimension microelectrode array for bioelectric

measurement using the liquidmetal-micromolding technique, Applied Physics

Letters, 103, 193701, 2013.

Ran Liu*, Fengjuan Song, Cuiyun Jin, Jing Liu. Nanoparticle enhanced electrical

impedance detection and its potential significance in image tomography,

International Journal of Nanomedicine, 8:33-38, 2013.


Our research focuses on the development of the biomedical microsystems. We

seek to understand and use interesting characteristics of biomaterials as the

bridge between MEMS and biomedicine. Our aim is to develop novel bio-

integrated microsystems and new micromachining approaches through the

combinations of the micro/nano materials and structures and biomaterials using

for the applications of biomedical sensing, drug delivery, high-throughput drug

screening and assisted reproduction.

• BioMEMS

• Flexible Electronics

• Microfluidic chip technology for medical application



Tsinghua University

HONG Bo


Dr. Bo Hong received his Ph.D. of biomedical engineering from Tsinghua University in 2001. From 2004 to 2005, he was a visiting scientist in the department of biomedical engineering, Johns Hopkins University. He is now an associate professor with department of biomedical engineering, School of Medicine, and investigator of McGovern Institute for Brain Research at Tsinghua University. He is currently the Associate Editor of IEEE Transactions on Neural Systems and Rehabilitation Engineering, and IEEE Transactions on Biomedical Engineering .

Med Sci BLDG, RM B204 Dept. of Biomedical Engineering Tsinghua University Beijing, China, 100084 010-62795985 [email protected]

RESEARCH FOCUS

PUBLICATIONS Si X, Zhou W, Hong B*. Cooperative cortical network for categorical

processing of Chinese lexical tone. PNAS. 114(46):12303-12308. 2017

Wang D, Buckner RL, Fox MD, Holt DJ, Holmes AJ, Stoecklein S, Langs G, Pan R,

Qian T, Li K, Baker JT, Stufflebean SM, Wang K, Wang X, Hong B*, Liu H*(2015).

Parcellating cortical functional networks in individuals. Nature neuroscience,

18, 1853–1860.

Zhang D, Song H, Xu R, Zhou W, Ling Z, Hong B*. Toward a minimally invasive

brain-computer interface using a single subdural channel: A visual speller

study. NeuroImage 71:30-41, 2013.

Qian T, Zhou W, Ling Z, Gao S, Liu H, Hong B*. Fast presurgical functional

mapping using task-related intracranial high gamma activity. Journal of

Neurosurgery, 119(1):26-36, 2013 (with Editorial)

Guo J, Gao S, Hong B*. An auditory brain computer interface using active

mental response. IEEE Trans. Neural Systems and Rehabilitation

Engineering,18(3):230-5, 2010. (Cover Story)

For more information, please visit http://mindreading.technology/

We may take it for granted of our ability of speaking and listening in daily

communication. Surprisingly, we know very little about the brain mechanism of

this magic cycle of speech production and perception. Millions of people are

suffering from hearing and communication disorder, hoping for innovative

treatment and rehabilitation. In my lab, we are searching for the neural code of

sound and speech representation in the brain. Collaborating with neurosurgeons,

the speech network of human brain and its neural code are investigated by using

the neural activity from inside the patients’ brain, also known as intracranial EEG.

With high temporal resolution of EEG and high spatial resolution of MRI, a picture

of speaking and listening brain is emerging from the massive human brain data.

Besides building brain computer interface for disabled patients, the neural

circuits and codes that we are finding will surely be a crucial hint of developing a

smarter speech recognition system, like Siri on your cell phone.



Tsinghua University

GAO Xiaorong


2004-Present Professor, Dept. of Biomedical Engineering, Tsinghua University 1995-2004 Associate Professor, Dept. of Biomedical Engineering and Dept. of Electrical Engineering, Tsinghua University 1992-1995 Assistant Professor, Dept. of Electrical Engineering, Tsinghua University 1989-1992 Ph.D., Biomedical Engineering, Tsinghua University 1986-1989 M.S., Biomedical Engineering, Peking Union Medicine University, China 1981-1986 B.A., Biomedical Engineering, Zhejiang University, China


RESEARCH FOCUS

PUBLICATIONS M Cheng; Xiaorong Gao; S Gao*; D Xu, Design and implementation of a brain-

computer interface with high transfer rates, IEEE Transactions on Biomedical Engineering, Vol.49 No.10, p1181–1186, 2002

Xiaorong Gao*, Dingfeng Xu, Ming Cheng, Shangkai Gao, A BCI-based environmental controller for the motion-disabled. IEEE Transaction on Neural Systems and Rehabilitation Engineering, Vol. 11, No.2, p137-140, 2003 (Special issue on Brain-Computer Interfaces)

Guangyu Bin, Xiaorong Gao*, Wang Y., Hong B. and Gao S.. VEP Based Brain-Computer Interfaces: Time ， Frequency and Code Modulations. IEEE Computational Intelligence Magazine, 4: 22–26, 2009

Guangyu Bin, Xiaorong Gao*, Zheng Yan, Bo Hong and Shangkai Gao, An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method, Journal of Neural Engineering, Vol. 6, 2009

Guangyu Bin, Xiaorong Gao*, Yijun Wang, Bo Hong, and Shangkai Gao, A high-speed BCI based on code modulation VEP，Journal of Neural Engineering. 8 (2011) 025015 (5pp) doi: 10.1088/1741-2560/8/2/025015

Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T. P., & Gao, S. (2015). High-speed spelling with a noninvasive brain-computer interface. Proceedings of the National Academy of Sciences of the United States of America, 112(44), E6058.

For more information, please visit http://www.ncbi.nlm.nih.gov/pubmed/?term=Xiaorong+Gao+Tsinghua

Professor Gao’s research interests lie in brain computer interfaces (BCI)， which

is sub-branches of neural engineering using computational techniques to explore

the inner workings of the brain through distinct perspectives.

The BCI study covers three aspects of human brain exploration: understanding

the brain, protecting the brain, and creating the brain. The BCI technology has

become a hot research topic in the areas of neuroscience, neural engineering,

medicine, and rehabilitation.

Professor Gao’s long-term research goals are to create effective tools for the

theoretical and practical analysis of EEG data, with broad applications ranging

from basic neurophysiology studies through clinical studies to neural engineering

that seek to shed light on how brain functions and why it operates in particular

ways.



Tsinghua University

YUAN Kexin


2016-Present Principal Investigator, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing 2012-Present Principal Investigator, IDG/McGovern Institute for Brain Research at Tsinghua, Tsinghua University, Beijing 2012-Present Associate Professor, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 2009-2012 Postdoctoral Fellow, Coleman Memorial Laboratory, University of California, San Francisco. Advisor: Christoph E. Schreiner 2006-2008 Postdoctoral Fellow, Coleman Memorial Laboratory, University of California, San Francisco. Advisor: Christoph E. Schreiner; Department of Molecular and Cell Biology, University of California, Berkeley. Co-advisor: Jeffery A. Winer 2001-2006 Ph.D., Neuroscience, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China 1997-2001 B.S., Biochemistry, Yantai University, Yantai, China


RESEARCH FOCUS

PUBLICATIONS Cai D#, Yue Y#, Liu M, Wang Y, Su X, You L, Xie F, Deng F, Chen F, Luo M, Yuan

K* (2018) Distinct anatomical connectivity patterns differentiate subdivisions

of the nonlemniscal auditory thalamus in mice. Cereb Cortex.

doi.org/10.1093/cercor/bhy115

Cai D#, Han R#, Liu M, Xie F, You L, Zheng Y, Zhao L, Yao J, Wang Y, Yue Y,

Schreiner CE and Yuan K* (2017) A critical role of inhibition in temporal

processing maturation in the primary auditory cortex. Cereb Cortex. doi:

10.1093/cercor/bhx057.

Xie F#, You L#, Cai D, Liu M, Yue Y, Wang Y, Yuan K* (2017) Fast inhibitory

decay facilitates adult-like temporal processing in layer 5 of developing

primary auditory cortex. Cereb Cortex. doi: 10.1093/cercor/bhx284.

Yuan K*, Shih JY, Winer JA and Schreiner CE (2011). Functional networks of

parvalbumin-immunoreactive neurons in cat auditory cortex. J Neurosci

31(37): 13333-13342.

Froemke RC, Carcea I, Barker AJ, Yuan K, Seybold BA, Martins AR, Zaika N,

Bernstein H, Wachs M, Levis PA, Polley DB, Merzenich MM, Schreiner CE.

Long-term modification of cortical synapses improves sensory perception.

(2012) Nature Neuroscience. doi: 10.1038/nn.3274.

For more information, please visit http://kexinyuan-lab.com/

The long-term goal of my research is to understand the operation principles of

thalamocortical network in sound perception and sound-driven behavior. my

laboratory studies how the non-lemniscal thalamus transfers contextual

information to the cortex to dynamically modulate excitation-inhibition interplay,

how the context-dependent thalamic modulation of the cortex would impact on

cortical outputs, and how the thalamus transfers acoustic information to the

limbic systems to influence animal behavior. My research aims to ameliorate the

deficits of current deep learning models and shed light on the neural mechanisms

underlying neurodevelopmental disorders.



Tsinghua University

DU Yanan


2010-Present Principal Investigator, School of Medicine, Tsinghua University 2012-Present Principal Investigator, Collaborative Innovation center for Diagnosis and Treatment of Infectious Disease 2007-2010 Postdoctoral Fellow, Harvard-MIT Division of Health Science and Technology, MIT; Harvard Medical School, Harvard University, USA 2003-2007 Ph.D. in Bioengineering, National University of Singapore, Singapore 1998-2002 B.Eng. in Chemical Engineering, Tsinghua University, Beijing, China


RESEARCH FOCUS

PUBLICATIONS Liu L, You Z, Yu H, Zhou L, Zhao H, Yan X, Li D, Wang B, Zhu L, Xu Y, Xia T, Shi Y,

Huang C, Hou W, Du Y*, ‘Mechanotransduction-modulated fibrotic microniches reveal the contribution of angiogenesis in liver fibrosis’ Nature Materials 16(12):1252-1261(2017)

Jiang S, Li SC, Huang C, Chan BP, Du Y*. Physical Properties of Implanted Porous Bioscaffolds Regulate Skin Repair: Focusing on Mechanical and Structural Features Adv Healthc Mater. 2018 Jan 15. doi: 10.1002/adhm.201700894

Qi C, Li Y, Badger P, Yu H, You Z, Yan X, Liu W, Shi Y, Xia T, Dong J, Huang C, Du Y*, ‘Pathology-targeted cell delivery via injectable micro-scaffold capsule mediated by endogenous TGase’ Biomaterials 126:1-9 (2017)

Zhu L, Fan X, Wang B, Liu L, Yan X, Zhou L, Zeng Y, Poznansky MC, Wang L, Chen H, Du Y* ‘Biomechanically primed liver microtumor array as a high-throughput mechanopharmacological screening platform for stroma-reprogrammed combinatorial therapy’ Biomaterials 124:12-24 (2017)

Fan X, Zhu L, Wang K, Wang B, Wu Y, Xie W, Huang C, Chan BP, Du Y* ‘Stiffness-Controlled Thermoresponsive Hydrogels for Cell Harvesting with Sustained Mechanical Memory’ Adv Healthc Mater. doi: 10.1002/adhm.201601152. (2017)

For more information, please visit http://dulab.med.tsinghua.edu.cn/

We are working in the field of ‘Microtissue Engineering’, a unique and new research area, which integrates conventional tissue engineering, biomaterials and microfabrication technologies to engineer microscale 3D tissues or microenvironments recapitulating the physiological and architectural features of native tissue niche with well-defined precision and bio-mimicry. Microtissue Engineering provides innovative and effective tools and solutions for cell/tissue engineering, regenerative medicine, drug screening and pathology study. We are working in highly inter-disciplinary and innovation-driven arena, providing unlimited opportunities for creative and ambitious minds. Some of our dreams include building functional liver/heart/cartilage tissues; achieving better regenerative therapy to cure cardiovascular/liver diseases; discovering anti-fibrotic compound to treat liver or heart diseases.



Tsinghua University

LIU Jing


Dr. Jing Liu is a Professor of Department of Biomedical Engineering, School of Medicine, Tsinghua University (THU). He received his double B.S. degrees in both Engineering and Physics, and Ph.D. in thermal science with specialty on bioengineering, all from THU. Dr. Liu had ever performed visiting researches at Purdue University and Massachusetts Institute of Technology. He works at the interdisciplinary areas among biomedical device, liquid metal and thermal science and is an author of nine popular books with one reprinted five times, and over four hundred and eighty journal articles with over twenty selected as journal cover story. Dr. Liu pioneered a group of very fundamental discoveries that were frequently featured by worldwide science medium. His works on liquid metal biomaterials, printed electronics, soft machines and chip cooling etc. initiated many game changing technologies. He is a recipient of numerous awards like: The William Begell Medal, R&D 100 Award Finalist, Best Paper of the Year Award from ASME Journal of Electronic Packaging, CCTV 2015 Top Ten Figures in Science and Technological Innovation, and five times highest teaching award from Chinese Academy of Sciences, etc.

Med Sci BLDG, RM B203 Dept. of Biomedical Engineering Tsinghua University Beijing, China, 100084 +86-1062794896 [email protected]

RESEARCH FOCUS

PUBLICATIONS J. Liu, L. Yi, Liquid Metal Biomaterials: Principles and Applications, Springer,

2018 (Book). J. Liu, Y. Yu, and L. Liu, Biomedical Engineering on a Mobile Phone: Principle

and Application, Beijing: Science Press (in Chinese), 2011 (Book). J. Liu and Z. S. Deng, Tumor Hyperthermia Physics (in Chinese), Beijing:

Science Press, 2008 (Book). J. Liu, Principle of Cryo-Biomedical Engineering (in Chinese), Beijing: Science

Press, 2007 (Book). J. Liu, Micro/Nano Scale Heat Transfer (in Chinese),, Beijing: Science Press,

2001 (5th press at 2006). J. Liu and C. C. Wang, Bioheat Transfer (in Chinese), Beijing: Science Press,

1997 (Book). J. Zhang, Y. Y. Yao, L. Sheng, J. Liu*, Self-fueled biomimetic liquid metal

mollusk, Advanced Materials, vol. 27, 2648-2655, 2015 (Inside Front Cover). Q. Wang, Y. Yang, J. Yang, J. Liu*, Fast fabrication of flexible functional circuits

based on liquid metal dual-trans printing, Advanced Materials, vol. 27, pp. 7109–7116, 2015 (Back Cover Story).

L. Sheng, J. Zhang, J. Liu*, Diverse transformation effects of liquid metal among different morphologies. Advanced Materials, vol. 26, pp. 6036-6042, 2014 (Front Cover Story).


Among the many serious diseases facing modern society, malignant tumor has

been the major one to cause human death. To detect cancer as early as possible

and to conduct a highly efficient therapy remains a big challenge so far.

Meanwhile, tremendous urgent or chronic diseases also raise huge concern to

develop ever powerful health care technologies. The goal of this lab is seeking

revolutionary ways to tackle the tough biomedical issues therein by virtue of

modern medical system, nano biotechnology and the newly emerging

biomaterials like liquid metals. Research interests include but are not limited to:

1. Liquid metal biomaterials;

2. Human capacity enhancement;

3. Biomedical soft electronics and robots;

4. Advanced mobile health care devices and sensors;

5. Nano technology mediated tumor therapy/diagnostics;

6. Bioheat, mass and flow transport inside biological system;

7. Cryobiology and cryosurgical technique;

8. Electrobiology towards tackling disease challenges;

9. Biomedical instrumentation and microfluidics;

10. Printed electronics, 3D printing for medicine.



Tsinghua University

XING Wanli

Research Professor Dept. of Biomedical Engineering Tsinghua University

1999-Present Assistant Professor, Associate Professor, Professor, Tsinghua University 1992-1997 M. S. and Ph.D. candidate, Department of Chemistry, Nankai University, Tianjin 1990-1992 Assistant Engineer, Lianyuangang Zymin Plant 1990-1992 B.S. candidate, Department of Chemistry, Nankai University, Tianjin


RESEARCH FOCUS

PUBLICATIONS Xiang, G., Pan, L., Huang, L., Yu, Z., Song, X., Cheng, J., Xing, W. and Zhou, Y.

(2006). Microelectrode array-based system for neuropharmacological

applications with cortical neurons cultured in vitro. Biosensors and

Bioelectronics, 22(11): 2478-2484. (SCI IF: 5.429)

Zhang, G., Li, C., Lu, Y., Hu, H., Xiang, G., Liang, Z., Liao, P., Dai, P., Xing, W. and

Cheng, J. (2011). Validation of a mobile phone assisted microarray decoding

platform for signal enhanced mutation detection. Biosensors and

Bioelectronics, 26 (12): 4708-4714. (SCI IF: 5.429)

Xu, Y., Yao, H., Wang, L., Xing, W. and Cheng, J. (2011). The construction of an

individually addressable cell array for selective patterning and electroporation.

Lab on a Chip, 11 (14): 2417–2423. (SCI IF: 6.34)

Fan, Y., Xu, F., Huang, G., Lu, J. and Xing, W. (2012). Single neuron capture and

axonal development in three-dimensional microscale hydrogels. Lab on a Chip,

12(22): 4724-4731. (SCI IF: 6.34)

Gurkan, U. A., Fan, Y., Xu, F., Erkmen, B., Urkac, E. S., Parlakgul, G., Bernstein,

J., Xing, W., Boyden, E. S. and Demirci, U. (2013).Simple precision creation of

digitally specified, spatially heterogeneous, engineered tissue architectures.

Advanced Materials, 25(8): 1192-1198. (SCI IF: 13.88)


• Biochip Technology & Its Application. • Cell related biochips and portable devices for detection of biological and chemical parameters related with human diseases.


Documents

Department of Biomedical Engineering Department of Electronic … · 2018. 7. 30. · Technology, US 2002-2004 Postdoctoral Fellow, Cold ... images of arrhythmia patients without