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Curriculum Vitae Ze Wang, PhD Associate Professor, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine Date May 14, 2019 Contact Information Business Address: 670 W Baltimore St, Baltimore, MD 21201, USA Business Phone Number: 410-706-2797 Email: [email protected] Foreign Languages (native, fluent, proficient, or working knowledge): Chinese Education 1995, B.A. Hefei University of Technology, Major: Signal Detection Technology and Instruments. 2003, PhD. Shanghai Jiao Tong University, Major: Biomedical Engineering. Thesis title: Data Compression Method Development in Medical Virtual Reality. Advisor: Prof Yi-Sheng Zhu. Post Graduate Education and Training 2003-2006. Postdoctoral Fellow, Department of Neurology, University of Pennsylvania, School of Medicine. Mentor: Dr. John A Detre. Employment History Academic Appointments 2009.-2016. Research Assistant Professor of Biomedical Engineering in Psychiatry, Department of Psychiatry,

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Page 1: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Curriculum Vitae

Ze Wang, PhDAssociate Professor, Department of Diagnostic Radiology and Nuclear Medicine,

University of Maryland School of Medicine

Date May 14, 2019

Contact Information

Business Address: 670 W Baltimore St, Baltimore, MD 21201, USABusiness Phone Number: 410-706-2797Email: [email protected] Languages (native, fluent, proficient, or working knowledge): Chinese

Education

1995, B.A. Hefei University of Technology, Major: Signal Detection Technology and Instruments.

2003, PhD. Shanghai Jiao Tong University, Major: Biomedical Engineering. Thesis title: Data Compression Method Development in Medical Virtual Reality. Advisor: Prof Yi-Sheng Zhu.

Post Graduate Education and Training

2003-2006. Postdoctoral Fellow, Department of Neurology, University of Pennsylvania, School of Medicine. Mentor: Dr. John A Detre.

Employment History

Academic Appointments

2009.-2016. Research Assistant Professor of Biomedical Engineering in Psychiatry, Department of Psychiatry, University of Pennsylvania School of Medicine (major appointment)

2009.-2012. Research Assistant Professor of Biomedical Engineering in Psychiatry, Department of Bioengineering, University of Pennsylvania School of Engineering (secondary appointment)

2012-2016 Assistant Professor of Radiology, University of Pennsylvania School of Medicine (Secondary)

2014.-2016. Director of the MR lab, Vice Director for the Center for Cognitive and Brain Disease, Principal Investigator and Professor, Center for Cognitive and Brain Disease, Hangzhou Normal University

Page 2: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

2016 - 2019 Director of the Temple University MRI Center/MRI lab, Associate Professor, Department of Radiology, Lewis Katz School of Medicine, Temple University

2019-present Associate Professor, Department of Radiology, University of Maryland School of Medicine

Other Employment

1995-1997. Jinan Rockwell Chasis Co Ltd (a joint Co Ltd between Rockewell US and China National Heavy Duty Truck Group Co., Ltd.)

2006-2009. Research Associate, Department of Neurology, University of Pennsylvania, School of Medicine.

Professional Society Memberships

2005-Present International Society of Magnetic Resonance in Medicine 2007-2019 Society for Neuroscience 2007-2016 Organization for Human Brain Mapping 2014 - Present Senior member of the Institute of Electrical and Electronics

Engineers) (senior member= top 7% of all members).

Honors and Awards

2005, Excellent PhD Thesis Award, City Council of Shanghai 2005, Nominee for the 100 Excellent PhD Thesis Award, China, Department of

Education 2005, International Society of Magnetic Resonance in Medicine, Annual Meeting

travel award 2011, Distinguished Reviewer for Magnetic Resonance in Medicine, Internal Society

of Magnetic Resonance in Medicine (Honor)

Institutional Service

2012, Research Assistant Professor Recruiting Committee, Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine. Role: reviewing CVs, interviewing candidates.

2013, Biomedical Postdoc Program Symposium Committee, Department of Biomedicine, University of Pennsylvania, Perelman School of Medicine. Roles: reviewing abstracts, selecting candidates for the first, second, and third place honor.

2011- 2014, Advisory Committee of the Center for Cognitive Brain Disease, Hangzhou Normal University, China. Role: making strategic plan for science and faculty recruitment; organizing international symposium.

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Page 3: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

2015-2018, International Advisory Committee of the International Congress of Magnetic Resonance Imaging. Roles: selecting plenary speakers for the annual meeting and planning for the major topics to be included in next year convention.

2014-present, founding committee of Medical Imaging Computation Symposium. The symposium is annual and the audience is over 1200 by 2018. Role: nominating plenary speakers, chairing sessions, organizing annual meeting.

2014-2016. Vice director of Center for Cognition and Brain Disorders, Hangzhou Normal University. Role: managing the MR scanner and other peripheral devices, overseeing technical staff of 5 and a budget of $300000.

2016-2019, director of MRI center of Temple University Hospital. Role: overseeing staff for performing fMRI scan and data analysis.

2018-2019, MR physicist of the Temple University Brain Imaging Center. Role: overseeing all MR projects for the parameters, data quality, and post-processing.

Local and National Service

2005 Ad Hoc Reviewer, Pattern Recognition (1x/yr) 2006-2017 Ad Hoc Reviewer, Magnetic Resonance in Medicine (2x/yr) 2007 Ad Hoc Reviewer, Magnetic Resonance Materials in

Physics, Biology and Medicine (1x/yr) 2007 Ad Hoc Reviewer, Concepts in Magnetic Resonance Part B:

Magnetic Resonance Engineering (1x/yr) 2007-Present Ad Hoc Reviewer, NeuroImage (1x/yr) 2007-Present Ad Hoc Reviewer, Human Brain Mapping (1x/yr) 2008, 2010, 2016 Ad Hoc Reviewer, Journal of Cerebral Blood Flow and

Metabolism (1x/yr) 2008 Ad Hoc Reviewer, Epilepsia (1x/yr) 2009 Ad Hoc Reviewer, International Grant Reviewer, The

Netherlands Organization for Health Research and Development, The Netherlands 2009-present Grant Reviewer and Member, The Research Grants

Council (RGC) of Hong Kong, Hong Kong (3x/yr). 2009, 2011, 2017 Ad Hoc Reviewer, Journal of Neuroscience Methods (1x/yr) 2009 Ad Hoc Reviewer, Drug and Alcohol Dependence (1x/yr) 2010, 2014 Ad Hoc Reviewer, IEEE (Institute of Electrical   and

Electronics   Engineers ) Transactions on Biomedical Engineering (1x/yr) 2010 Ad Hoc Reviewer, Magnetic Resonance Imaging (1x/yr) 2011 Ad Hoc Reviewer, IEEE (Institute of Electrical   and

Electronics   Engineers ) Transactions on Medical Imaging (1x/yr) 2011-2015 Ad Hoc Reviewer, PLoS One (1x/yr) 2012-2015 Ad Hoc Reviewer, NMR in Biomedicine (0.5x/yr) 2012 Ad Hoc Reviewer, Neural Computation (1x/yr) 2012 Ad Hoc Reviewer, Journal of the Neurological

Sciences(1x/yr)

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Page 4: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

2013-Present Editorial Board: Journal of Alcoholism and Drug Dependence

2013-2015 Ad Hoc Reviewer, Cerebral Cortex (1x/yr) 2013-2014 Ad Hoc Reviewer, Journal of Alzheimer’s Disease (1x/yr) 2013 Ad Hoc Reviewer, Neuropsychopharmacology(1x/yr) 2013 Program committee and session Chair, International Society of

Magnetic Resonance in Medicine Workshop & Oversea Chinese Society of Magnetic Resonance in Medicine Meeting, Hangzhou, Zhejiang Province, China

2013 Organizer and Chair, Hangzhou advanced neuroimaging Symposium, Hangzhou, Zhejiang Province China

2013 Program Committee, Biomedical Postdoctoral Research Symposium at University of Pennsylvania, Philadelphia, PA

2014 Program Committee, Tenth International Conference on Intelligent Computing, Taiyuan, Shanxi Province, China.

2014 Organizing Committee, session Chair, The 1st Youth Forum On Medical Image Computing at Shenzhen, China.

2014 Ad Hoc Reviewer, Frontiers in Neuroinformatics(1x/yr) 2014-Present Ad Hoc Reviewer, Frontiers in Human Neuroscience

(1x/yr) 2014 Ad Hoc Reviewer, Physics in Medicine and Biology (1x/yr) 2014-Present Ad Hoc Reviewer, Brain Imaging and Behavior(1x/yr) 2014-Present Ad Hoc Reviewer, Scientific Reports(1x/yr) 2015- 2015 Associate Editor: Journal of Alzheimer’s Disease 2015-present Associate Editor: Medical & Biological Eng & Computing

(10x/yr) 2015 Session Chair for 2015 International conference on Global

Health: Prevention and Treatment of Substance Abuse and HIV (NIDA sponsored). Hangzhou, China

2015 Organizing Committee, session Chair, The 2st Youth Forum On Medical Image Computing at Jinan, China.

2015 Ad Hoc Reviewer, Neurobiology of Aging(1x/yr) 2016 Ad Hoc Reviewer, Brain Structure and Function(1x/yr) 2016 Program Committee, International Congress of MRI, Seoul,

Korea 2016 Program Committee, the 10th Annual meeting of Asian Society

Against Dementia. 2016-2017 ICMRI international committee member 2016-2017 Secretary of Chinese NeuroImaging Society 2016-present Editor: Scientific Reports 2016-2017 Associate Editor: Sage Open 2017 ICIC committee member 2017 IEEE EMBC annual meeting session chair. 2017 the 4th Medical Imaging Computing Youth Forum,

Shanghai, China 2018 Young Investigator Award Committee, OCSMRM 2018 Session Moderator, ISMRM

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Page 5: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

2018 the 5th Medical Imaging Computing Youth Forum, Nanjing, China

2019 the 6th Medical Imaging Computing Youth Forum, Suzhou, China

Teaching Service

Undergraduate Student Teaching2008-2009 Mentor, Summer Research Training Program, 1 fellow

1 hour/day for 8 daysMedical Student Teaching2010 Lecture, Data Processing for Arterial Spin Labeling Perfusion MRI, 1st

year medical students and faculty – 1 hour in total

Resident and Fellow Teaching2003 fMRI signal processing

Residents, lab members of the addiction imaging division, University of Pennsylvania1 hour/week for 4 weeks

2016 Magnetic resonance imagingRadiology residents, 1 hour/week for 6 weeks

Post-Graduate Teaching

2006-2008 Organizer and Lecturer, Data Analysis Weekly Seminar, PhD candidates and SOM medical students, 1 hour/week, 3 months/year

2009-2011 Research Mentor1 visiting PhD student, 1 hour per week for 2 years

2010-2014 PhD Thesis Committee Member for Xiangfei Hong, 1 hour/month, 2 months/year for 2 years.

2011-2013 Research Mentor1 visiting PhD student, 1 hour per week for 1 year

2014-2016 Master student mentoring, 5 students, 2 hours/week for each of them until they graduated 3 years after admission.

2015 post-graduate course in Hangzhou Normal University: Neuroimaging. 15 master students, 40 hours, 3 contact hours/yr

2016-presentPhD student mentoring, 3 students, 2 hours/week for each of them.

Grant Support

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Page 6: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

Active Grants05/01/2019-04/31/2022 (PI,50%)

“Assessing ASL CBF as a biomarker for early Alzheimer’s disease detection and disease progression”NIH/NIA R01 AG060054 Annual Direct Costs (first year): $290,277Total Direct Costs: $881,580

Pending Grants09/01/2018-08/31/2021 (PI, 35%)

“Deep learning enhanced ASL perfusion MRI in cocaine relapse prediction”NIDA Annual Direct Costs (first year): $283,825Total Direct Costs: $867,352

04/01/2019-03/31/2022 (PI, 30%) “Predicting cocaine use relapse using existing multimodal data”NIDA Annual Direct Costs (first year): $352,821Total Direct Costs: $1,383,793

08/01/2019-07/01/2023 (PI,30%) “Fast pattern matching method development for magnetic resonance fingerprinting”NIBIB Annual Direct Costs (first year): $265,609Total Direct Costs: $1,095,853

08/01/2019-07/31/2022 (PI, 20%) “Deep learning-based lesion-symptom mapping in aphasia”Annual Direct Costs (first year): $267,664Total Direct Costs: $803,912

08/01/2019-07/31/2022 (PI: Ingrid Olson 10%) “Mapping the development of episodic memory”Annual Direct Costs (first year): $ 318,723Total Direct Costs: $1,010,567

Completed Grants09/01/2014-08/31/2016 (PI, 50%)

“sex differences in connectivity aberrations in addiction”NIH/NIDA 1R56DA036556-01A1 Annual Direct Costs (first year): $150,000Total Direct Costs: $150,000

08/01/2010-07/31/14 (PI, 20%) “Advanced methods for lesion-symptom mapping in aphasia”5R21DC011074-02

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Page 7: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

Annual Direct Costs (first year): $125,000Total Direct Costs: $250,000

09/15/07-08/31/10 (PI, 15%) “SVM based group data analysis for drug abuse disorder ASL perfusion study”R03 DA023496 Annual Direct Costs (first year): $150,000Total Direct Costs: $150,000

01/01/09-02/28/11 (PI, 15%) “Arterial Spin Labeled Perfusion MRI as a Biomarker for Alzheimer’s Disease: A Test- Retest Study”Penn-Pfizer Alliance Annual Direct Costs (first year): $329133Total Direct Costs: $329,133

10/01/2005-09/31/2007 (PI,5%) “Perfusion MRI with parallel imaging”Siemens Healthcare Research Project Annual Direct Costs (first year): $26000Total Direct Costs: $26,000

06/01/11-05/31/15 (Co-Inv 15%) PI: Anna Rose Childress “CURE Addiction Center of Excellence: Brain Mechanisms of Relapse and Recovery”Commonwealth of Pennsylvania Annual Direct Costs (first year): $1,000,000Total Direct Costs: $4,000,000Role: imaging processing core leader

09/01/11-05/31/15 (Co-Inv 10%) PI: Teresa Franklin “Characterization of a cue-vulnerable pharmaco-responsive endophenotype in smokers ”NIH/NIDA R01-DA029845Annual Direct Costs (first year): $268,496Total Direct Costs: $1,120,088Role: MR physicist and post-processing

06/01/15-09/30/14 (Co-Inv 10%) PI: Ravinder Reddy “A Resource for Magnetic Resonance & Optical Research”NIH NCRR P41 EB015893Annual Direct Costs (first year): $159,000Total Direct Costs: $810,000Role: in charge of ASL perfusion MRI technique

development

06/01/15-09/30/14 (Co-Inv 10%) PI: Kyle Kampman “Center for the development of novel medications for cocaine dependence”1U54DA39002

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Page 8: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

Annual Direct Costs (first year): $1,088,899Total Direct Costs: $1,088,899Role: fMRI processing

04/04/2014-03/31/2019 (Co-Inv 5%) PI: Mickle Lowe “Weight history, brain activation to food cues and eating disorder” psychopathology 5R01MH103419-02Annual Direct Costs (first year): $613,112Total Direct Costs: $2,552,374Role: overseeing fMRI processing

12/01/13-11/30/17 (Co-Inv 8%) PI: John A Detre “Neuroscience Neuroimaging Center”P30 NS045839Annual Direct Costs (first year): $388,890Total Direct Costs: $1,240,937Role: in charge of fMRI processing core.

04/01/13-03/31/17 (Co-Inv 15%) PI: John A Detre “Perfusion MRI for Multisite Studies of Brain Function”MH080729Annual Direct Costs (first year): $713,467Total Direct Costs: $3,350,480Role: major MR physicist for developing ASL MRI sequence and processing methods.

09/01/2011-05/31/15 (Co-Inv 7%) PI: Franklin “Characterization of a cue-vulnerable pharmaco-responsive endophenotype in smokers”NIH/NIDA R01-DA029845Annual Direct Costs (first year): $300,000Total Direct Costs: $1,270,035Role: supervising fMRI data processing

08/01/12-06/30/16 (Co-Inv %) PI: Wolk“Optimized Arterial Spin Labeling Perfusion MRI in Mild Cognitive Impairment”

NIH, NIA R01 AG 04027Annual Direct Costs (first year): $294,012Total Direct Costs: $1,620,832Role: MR physicist and supervising ASL perfusion MRI data

processing

09/30/10-08/31/15 (Co-Inv %) PI: Lee “TDP-43 Proteinopathies in ALS-Dementia”NIH P01-AG032953Annual Direct Costs (first year): $1,187,434Total Direct Costs: $5,332,600Role: supervising ASL perfusion MRI data processing

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Ze Wang, Ph.D.

04/01/13-03/31/15 (Co-Inv 6.67%) PI: Teitelman “Brain-behavioral predictors in urban adolescent females at high risk for HIV/AIDS”NIH R21-NR012900-01Annual Direct Costs (first year): $125,000Total Direct Costs: $254,221Role: supervising ASL perfusion MRI data processing

09/15/12-06/30/17 (Co-I 10%) PI: Franklin “GABA B AGONISTS REVISITED: BRAIN, BEHAVIORAL AND GENETIC EFFECTS IN SMOKERS”NIH 1R01DA030394Annual Direct Costs (first year): $189088Total Direct Costs: $9207320Role: supervising fMRI data processing

09/14/13- 10/02/15 (Co-Inv 5%) PI: Bryan “Sprint-Mind (memory and cognition in decreased hypertension) Substudy”WFUHS 30158Annual Direct Costs (first year): $Total Direct Costs: $388,584Role: supervising ASL perfusion MRI data processing

08/01/09-07/31/14 (Co-Inv 5%) PI: Lerman “Administrative core”NCI/NIH P50-CA143187Annual Direct Costs (first year): $158,185Total Direct Costs: $1,279,448Role: supervising ASL perfusion MRI data processing

01/01/11-05/31/12 (Co-Inv %) PI: Yushkevich “sub-field hippocampus analysis for Alzheimer’s Disease”Penn-Pfizer AllianceAnnual Direct Costs (first year): $150,000Total Direct Costs: $200,000Role: in charge of perfusion MRI

04/11/11-03/31/12 (Co-Inv 5%) PI: Suh “Brain Substrates of Affect Dysregulation in Cocaine Addiction: A Pilot Study”NIH/NIDA R03-DA029677Annual Direct Costs (first year): $150,000Total Direct Costs: $150,000Role: MR physicist and fMRI post processing

12/01/09-11/30/11 (Co-Inv 15%) PI: Childress “Extinction of limbic activation to unseen Cocaine cues: GABA B Agonism”NIDA R01 DA025906

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Page 10: CV Format - University of Maryland School of Medicine€¦ · Web viewICMRI 2017, Seoul, South Korea (oral presentation). 2017. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian

Ze Wang, Ph.D.

Annual Direct Costs (first year): $150,000Total Direct Costs: $374,805Role: MR physicist and fMRI post processing

09/25/08 – 06/30/12 (Co-Inv 15%) PI: Childress “1 of 2: Real-time fMRI Pattern Training for Treatment of Craving and Addiction”NIDA R33-DA026114-01Annual Direct Costs (first year): $210,000Total Direct Costs: $1,386,619Role: MR physicist and fMRI post processing

Patents, Inventions and Copyrights (If applicable)

1. Ze Wang and Yisheng Zhu. Image-based scene relighting. China Patent Number No.1441388, 2003.

2. Ze Wang. The way to remove the artifacts in arterial spin labeling(ASL) perfusion images. China Patent Number NO. ZL201610585811.1

3. Ze Wang. The way to remove interference signals of correlated signals. China Patent Number NO. ZL201510563569.3

Publications Peer-reviewed journal articles

1. Zhang Hongxuan, Zhu Yisheng and Wang Ze. PC Based Multi-lead ECG Test & Measurement System and Processing Algorithm. Journal of Beijing Biomedical Engineering. 2000; 19 (4): 221-227.

2. Wang Ze, Zhu Yisheng, Wang Ziming and Zhang Hongxuan. Independent component analysis and its application to overlapping speech pitch extraction and speech enhancement. Journal of Beijing Biomedical Engineering. 2001 Sep; 20 (4): 241-245.

3. Wang Ze, Zhu Yi Sheng, Li Yin, Independent Component Analysis in Chaotic Signal Analysis. Chinese Journal of Electronics. 2002;30 (10):1505-1507.

4. Wang Ze, Yin Lee, Chi-Sing Leung, T.T. Wong and Y.S. Zhu. Comparison on Integer Wavelet Transforms in Spherical Wavelet based Image Based Relighting. Chinese Journal of Electronics (English version) . 2003 Oct;31 (4):553-557.

5. Yin Li, Ze Wang, YS Zhu . Improved homomorphic filtering method for inhomogeneity correction of magnetic resonance images. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University. 2003 Sep;37 (9):1452-1455.

6. Yin Lee, Ze Wang, Yi-sheng Zhu. An improved bias correction method for galactophore MR images. Computer Technology and Applications (in Chinese).

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Ze Wang, Ph.D.

2003;23 (5): 42-45.

7. Ze Wang Ze, Yin Lee, C.S. Leung, and Yi Sheng Zhu. An Improved Optimal Bit Allocation Method. Pattern Recognition Letters. 2003 Dec;24 (16): 3007-3013.

8. Wang Ze, Yin Lee, C.S. Leung, Y.S. Zhu. An Improved Sequential Method for Principal Component Analysis. Pattern Recognition Letters. 2003 Jun; 24 (9-10):1409-1415.

9. Chi-Sing Leung, Gary Ho, Kwok-Hung Choy, T.T. Wong and Ze Wang. A RLS based PCA for Compressing Relighting Data Sets. IEICE Transactions on Fundamentals of Electronics, Computer Sciences (special issue on Digital Signal Processing). 2004 Aug;E87-A (8): 1871-1878.

10. Ze Wang, Chi-Sing Leung, Y.S. Zhu, and T.T. Wong. Data Compression on the Illumination Adjustable Images by PCA and ICA. Signal Processing: Image Communication. 2004 Nov; 19 (10): 939-954.

11. Ze Wang, Chi-Sing Leung, Y.S. Zhu, and T.T. Wong. Data compression with spherical wavelets and wavelets for the image-based relighting. Computer Vision and Image Understanding.2004 Dec; 96 (3): 327-344.

12. Ze Wang, Chi-Sing Leung, T.T. Wong, and Y.S. Zhu. Eigen-image based compression for the image-based relighting with cascade recursive least squared networks. Pattern Recognition.2004 Jun; 37 (6): 1219-1231.

13. Ze Wang, Chi-Sing Leung, T.T. Wong, Yi-Sheng Zhu. Compressing an Image-based Relighting data set using Eigen-analysis and Wavelet. Vision, Image and Signal Processing . IEE (Institute of Electrical Engineering) Proceedings - Image Signal Process. 2004 Oct; 151 (5): 378- 388.

14. Jiong J. Wang, Ze Wang, Geoffrey K. Aguirre, and John A. Detre. To Smooth or Not to Smooth?– ROC Analysis of Perfusion fMRI Data. Magnetic Resonance Imaging. 2005 Jan; 23 (1): 75-81.

15. Fernandez-Seara MA, Wang Z, Wang J, Rao H, Guenther M, Feinberg DA, Detre JA. Continuous arterial spin labelling perfusion measurements using single shot 3D GRASE at 3T. Magnetic Resonance in Medicine. 2005 Nov; 54 (5): 1241-1247.

16. Ze Wang, Jiongjiong Wang, Thomas J. Connick, Gabriel S. Wetmore, John A. Detre. Continuous ASL Perfusion MRI with An Array coil and Parallel Imaging at 3T. Magnetic Resonance in Medicine. 2005 Sep; 54 (3): 732-737.

17. Ze Wang, Jiongjiong Wang, John A. Detre. Improved Data Reconstruction Method for GRAPPA. Magnetic Resonance in Medicine. 2005 Sep; 54 (3): 738-742.

18. Ze Wang, Jiongjiong Wang, Vince Calhoun, Hengyi Rao, John A. Detre, Anna R. Childress. Strategies for Reducing Large fMRI Data Sets for Independent

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Ze Wang, Ph.D.

Component Analysis. Magnetic Resonance Imaging. 2006 Jun; 24 (5): 591-596.

19. Ze Wang, Maria A Fernandez-Seara. 2D Partially Parallel Imaging with k-space Surrounding Neighbors based Data Reconstruction. Magnetic Resonance in Medicine.2006 Dec; 56 (6): 1389-1396.

20. Ze Wang, Myles Faith, Kia Kerrin, Kathy Tang, E. Paul Wileyto, Freda Patterson, John Detre, and Caryn Lerman. Neural substrates of abstinence-induced cigarette cravings in chronic smokers. The Journal of Neuroscience.2007Dec 19; 27(51): 14035-14040.

21. Teresa R. Franklin, Ze Wang, Jiongjiong Wang, Nathan Sciortino, Derek Harper, Yin Li, Kyle Kampman, Charles P. O’Brien, John A. Detre, Anna Rose Childress. Limbic activation to cigarette smoking cues independent of nicotine withdrawal: a perfusion fMRI study: A CASL perfusion fMRI study. Neuropsychopharmocology. 2007 Nov; 32 (11): 2301-2309.

22. Maria A. Fernandez-Seara, Jiongjiong Wang, Ze Wang, Marc Korczykowski, M Guenther, D. A. Feinberg, John A. Detre. Imaging Mesial Temporal Lobe Activation During Scene Encoding: Comparison of fMRI using BOLD and ASL. Human Brain Mapping. 2007 Dec; 28 (12): 1391 – 1400.

23. Ze Wang, Anna R. Childress, Jiongjiong Wang, John A. Detre. Support Vector Machine Learning-based fMRI Data Group Analysis. NeuroImage. 2007 Jul 15; 36 (4):1139-1151.

24. Ze Wang, Riju Ray, Myles Faith, Kathy Tang, E. Paul Wileyto, John A. Detre, and Caryn Lerman. Nicotine Abstinence-induced Cerebral Blood Flow Changes by Genotype. Neuroscience Letters. 2008 Jun 27; 438 (3):275-280.

25. Vanessa Troiani, Maria A Fernandez-Seara, Ze Wang, John A Detre, Sherry Ash, and Murray Grossman. Narrative Speech Production: An fMRI study Using Continuous Arterial Spin Labeling. NeuroImage. 2008 Apr 1; 40 (2):932-939.

26. Ze Wang, Geoffrey Aguirre, Hengyi Rao, JiongJ Wang, Anna R. Childress, John A. Detre. Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx. Magnetic Resonance Imaging. 2008 Feb;26 (2):261-269.

27. Ze Wang, María Fernández-Seara, David C. Alsop, Jiong J Wang, Wen-Ching Liu, Judy F. Flax, April A. Benasich, and John A. Detre. Assessment of Functional Development in Normal Infant Brain using Arterial Spin Labeled Perfusion MRI. NeuroImage. 2008 Feb 1;39 (3):973-978.

28. Anna Rose Childress, Ronald N. Ehrman, Ze Wang, Yin Li, Nathan Sciortino, Jonathan Hakun, William Jens, Jesse Suh, John Listerud, Kathleen Marquez, Teresa Franklin, Daniel Langleben, John Detre and Charles P. O’Brien. Prelude to Passion: Limbic Activation by “Unseen” Drug and Sexual Cues. PLoS ONE.2008

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Ze Wang, Ph.D.

Jan 30; 3(1):e1506.

29. Riju Ray, James Loughead, Ze Wang, John A Detre, Edward Yang, Ruben C Gur, Caryn Lerman. Neuroimaging Genetics and the Treatment of Nicotine Addiction. Behavioural Brain Research. 2008 Nov 21; 193 (2): 159-169.

30. John Detre, JiongJiong Wang, Ze Wang, and Hengyi Rao. ASL Perfusion MRI in Basic and Clinical Neuroscience. Current Opinion in Neurology. 2009 Jun; 22(4): 348-355.

31. Ze Wang. A Hybrid SVM-GLM Approach for fMRI Data Analysis. NeuroImage. 2009 Jul 1; 46(3): 608-615.

32. Jesse J. Suh, Daniel D. Langleban, Ronald N. Ehrman, Jonathan G. Hakun, Ze Wang, Yin Li, Samantha I. Busch, Charles P. O’Brien, and Anna R. Childress. Low Prefrontal Perfusion Linked to Depression Symptoms in Methadone-Maintained Opiate-Dependent Patients. Drug and Alcohol Dependence. 2009 Jan 1; 99 (1-3): 11-17.

33. Teresa R. Franklin, Falk W. Lohoff, Ze Wang, Nathan Sciortino, Derek Harper, Yin Li, Will Jens, Jeffrey Cruz, Kyle Kampman, Ron Ehrman, Wade Berrettini, John A. Detre, Charles P. O’Brien, Anna Rose Childress. DAT genotype modulates brain and behavioral responses elicited by cigarette cues. Neuropsychopharmocology. 2009 Feb; 34 (3):717-728.

34. Ze Wang, Dawn Mechanic-Hamilton, John Pluta, Simon Glynn, John A. Detre. Function Lateralization via Measuring Coherence Laterality. NeuroImage. 2009 Aug 1; 47 (1): 281–288.

35. Y Chen, HI Wan, JP O’Reardon, DJJ Wang, Z Wang, M Korczykowski and JA Detre. ASL phMRI After a Single Dose of Oral Citalopram Clinical Pharmacology and Therapeutics. Clinical Pharmacology & Therapeutics. 2010; 89 (2): 251-258.

36. William T. Hu*, Ze Wang*, Virginia M.-Y. Lee, John Q. Trojanowski, John Detre, Murray Grossman. Distinct Cerebral Perfusion Patterns in FTLD and AD. Neurology. 2010 Sep 7; 75 (10): 881-888. (*contributed equally)

37. Ze Wang. Fixed-point Algorithms for Constrained ICA and their Applications in fMRI Data Analysis. Magnetic Resonance Imaging. 2011 Nov; 29 (9):1288-1303.

38. Teresa R. Franklin, Ze Wang, Nathan Sciortino, Derek Harper, Yin Li, Jonathan Hakun, Susan Kildea, Kyle Kampman, Ron Ehrman, John A. Detre, Charles P. O’Brien, Anna Rose Childress. Modulation of resting brain cerebral blood flow by the GABA B agonist, baclofen: A longitudinal perfusion fMRI study. Drug and Alcohol Dependence. 2011 Sep 1; 117 (2-3):176-183.

39. Teresa R. Franklin, Ze Wang, Jesse J. Suh, Rebecca Hazan, Jeffrey Cruz, Yin Li, Marina Goldman, John A. Detre, Charles P. O¹Brien, and Anna Rose Childress.

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Effects of Varenicline on Smoking Cue-Triggered Neural and Craving Responses. Archive of General Psychiatry. 2011 May; 68 (5): 516-526.

40. Teresa R. Franklin, Ze Wang, Yin Li, Jesse J. Suh, Marina Goldman, Falk W. Lohoff, Jeffrey Cruz, Rebecca Hazan, Will Jens, John A. Detre, Wade Berrettini, Charles P. O¹Brien, and Anna Rose Childress. Dopamine transporter genotype modulation of neural responses to smoking cues: Confirmation in a new cohort. Addiction Biology.2011 Feb; 16 (2): 308-322.

41. Ze Wang. Improving Cerebral Blood Flow Quantification for Arterial Spin Labeled Perfusion MRI by Removing Residual Motion Artifacts and Global Signal Fluctuations Magnetic Resonance Imaging. Magnetic Resonance Imaging. 2012 Jul; 30(10):1409-1415.

42. Zhengjun Li, Aniseh Kadivar, John Pluta, John Dunlop, Anna R. Childress, John Detre, Ze Wang. Test-retest Stability Analysis of Resting Brain Activity Using BOLD fMRI. Journal of Magnetic Resonance Imaging. 2012 Aug; 36(2):344-354.

43. Ze Wang, Zhengjun Li, John Pluta, John A. Detre. Improving fMRI Activation Detection Sensitivity using Inter-voxel Coherence Mapping. International Journal of Imaging Systems and Technology. 2012 Mar; 22 (1): 33-36.

44. Quan Zhang, Randall B. Stafford, Ze Wang, Stephen E. Arnold, David A. Wolk and John A Detre. Microvascular Perfusion Based on Arterial Spin Labeled Perfusion MRI as a Measure of Vascular Risk in Alzheimer’s Disease. Journal of Alzheimer Disease. 2012 Aug;32(3):677-687.

45. John Detre, Danny J Wang, Hengyi Rao, Ze Wang. Applications of arterial spin labeled MRI in the brain. Journal of Magnetic Resonance Imaging. 2012 May; 35(5):1026-1037.

46. Teresa R. Franklin, Ze Wang, Jesse J. Suh, Kanchana Jagannathan, Jesse J. Suh, John A. Detre, Charles P. O¹Brien, and Anna Rose Childress. A VBM study demonstrating ‘apparent’ effects of a single dose of medication on T1-weighted MRIs. Brain Structure and Function. 2012 Feb; 218(1):97-104.

47. Zhengjun Li, Yisheng Zhu, Anna Rose Childress, John A. Detre, Ze Wang. Relations between BOLD fMRI-Derived Resting Brain Activity and Cerebral Blood Flow. PLoS One. 2012 Sep 21; 7(9):e44556.  doi: 10.1371/journal.pone.0044556.

48. Gang Zheng, Long Jiang Zhang, Ze Wang, Rong Feng Qi, Donghong Shi, Li Wang, Guang Ming Lu. Changes in cerebral blood flow after transjugular intrahepatic portosystemic shunt can help predict the development of hepatic encephalopathy: an arterial spin labeling MR study. European Journal of Radiology. 2012 Dec, 81(12):3851-3856.

49. Lam SC, Wang Z, Li Y, Franklin T, O’Brien C, Magland J, and Childress AR. Wavelet-transformed Temporal Cerebral Blood Blow Signals Characterize

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Ze Wang, Ph.D.

Individual Differences during Attempted Inhibition of Cue-induced Cocaine Craving.  Drug and Alcohol Dependence. 2013 Feb 1; 128(1-2):140-147.

50. Marta Vidorreta*, Ze Wang*, Ignacio Rodríguez, María A. Pastor, John A. Detre and María A. Fernández-Seara. Comparison of 2D and 3D single-shot ASL perfusion fMRI sequences. NeuroImage. 2013 Feb; 66: 662-671. (*contributed equally)

51. Marina Goldman, R. Szucs-Reed, K. Jagannathan, R. Ehrman, Ze Wang, Yin Li, J. Suh, Kampman, O’Brien, Childress, Franklin. Reward-related Brain Response and Craving Correlates of Marijuana Cue Exposure: A Preliminary Study in Treatment-Seeking Marijuana- Dependent Subjects. Journal of Addiction Medicine. 2013 Jan-Feb; 7(1):8-16.

52. Zheng, G., Zhang, L. J. Zhong, J. Wang, Z. Qi, R. Shi, D. Lu, G. M. Cerebral blood flow measured by arterial-spin labeling MRI: A useful biomarker for characterization of minimal hepatic encephalopathy in patients with cirrhosis. European Journal of Radiology. 2013 Nov; 82(11): 1981-1988.

53. Fuqing Zhou, Honghan Gong, Yufeng Zang, Rensi Xu, Fangjun Li, Ying Zhuang, Ze Wang. Altered Motor Network Functional Connectivity in Amyotrophic Lateral Sclerosis (ALS): a Resting State fMRI Study. NeuroReport. 2013 Aug 21; 24(12):657-662.

54. Senhua Zhu, Zhuo Fang, Siyuan Hu, Ze Wang, Hengyi Rao. Resting State Brain Function Analysis Using Concurrent BOLD in ASL Perfusion fMRI. PLos One. 2013 Jun; 8(6):e65884.

55. Ze Wang, Sandhitsu R. Das, Sharon X. Xie, Steven E. Arnold, John A. Detre, David A. Wolk. for the Alzheimer’s Disease Neuroimaging Initiative, Arterial Spin Labeled MRI in Prodromal Alzheimer’s Disease: A Multi-Site Study. Neuroimage: clinical. 2013 Apr 30; 2: 630-636.

56. Fuqing Zhou, Renshi Xu, Emily Dowd, Yufeng Zang, Honghan Gong, Ze Wang. Alterations in regional functional coherence within the sensory-motor network in amyotrophic lateral sclerosis. Neuroscience Letters. 2014 Jan 13; 558:192-196.

57. Ze Wang, Support Vector Machine Learning-based Cerebral Blood Flow Quantification for Arterial Spin Labeling MRI. Human Brain Mapping. 2014 Jul, 35(7):2869-2875.

58. Ze Wang, Yin Li, Anna Rose Childress, John A Detre. Brain Entropy Mapping using fMRI. Plos One. 2014 Mar 21; 9(3): e89948

59. Wang Z. Characterizing Early Alzheimer's Disease and Disease Progression Using Hippocampal Volume and Arterial Spin Labeling Perfusion MRI. Journal of Alzheimers Disease Jad. 2014 Sep; 4(Suppl 4):495-502.

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60. Kimberly Young, Teresa Franklin, David Roberts, Kanchana Jagannathan, Jesse Suh, Reagan Wetherill, Ze Wang, Kyle Kampman, Charles O'Brien, and Anna Rose Childress. Nipping cue reactivity in the bud: Baclofen prevents limbic activation elicited by subliminal drug cues. Journal of Neuroscience. 2014 Apr 2; 34(14): 5038-5043.

61. Yongsheng Zhang, D Kimberg, B.H. Coslett, M. Schwartz, Ze Wang. Multivariate Lesion-Symptom Mapping Using Support Vector Regression. Human Brain Mapping. 2014 Jul;35(12): 5861-5876.

62. Marta Vidorreta, Evelyne Balteau, Ze Wang, Enrico De Vita, María A. Pastor, David L. Thomas, John A. Detre, María A. Fernández-Seara. Evaluation of Segmented 3D Acquisition Schemes for Whole-brain High-resolution Arterial Spin Labeling at 3T. NMR in Biomedicine. 2014 Nov;27(11):1387-1396.

63. Ze Wang, Jesse Suh, Zhengjun Li, Yin Li, Teresa Franklin, Charles O’Brien, Anna Rose Childress. A Hyper-connected but Less Efficient Small-world Network in the Substance-Dependent Brain. Drug and Alcohol Dependence. 2015 Apr 15;152:102-108.

64. Daniel Mirman, Qi Chen, Yongsheng Zhang, Ze Wang, Olufunsho K. Faseyitan, H. Branch Coslett, and Myrna F. Schwartz. Neural Organization of Spoken Language Revealed by Lesion-Symptom Mapping. Nature Communications. 2015 Apr 16; 6: 6762.

65. Daniel Mirman, Yongsheng Zhang, Ze Wang, H. Branch Coslett, and Myrna F. Schwartz. The Ins and Outs of Meaning: Behavioral and Neuroanatomical Dissociation of Semantically-Driven Word Retrieval and Multimodal Semantic Recognition in Aphasia. Neuropsychologia . 2015 Sep; 76: 208-219.

66. Bing Chen, Ting Xu, Changle Zhou, Luoyu Wang, Ze Wang, Yu-Feng Zang, Xi-Nian Zuo, Xuchu Weng. Individual variability and test-retest reliability revealed by ten repeated resting-state brain scans over one month. Plos One. 2015 Dec 29;10(12): e0144963.

67. Fuqing Zhou, Ying Zhuang, Honghan Gong, Jie Zhan, Murray Grossman, Ze Wang. Resting State Brain Entropy Alterations in Relapsing Remitting Multiple Sclerosis. Plos One. 2016 Jan 4; 11(1): e0146080.

68. Sudipto Dolui, Ze Wang, Danny JJ Wang, Raghav Mattay, Mack Finkel, Mark Elliott, Lisa Desiderio, Ben Inglis, Bryon Mueller, Randall Stafford, Lenore J. Launer, David R. Jacobs, Jr, R. Nick Bryan, John A. Detre. Comparison of Noninvasive MRI Measurements of Cerebral Blood Flow in a Large Multisite Cohort. Journal of Cerebral Blood Flow & Metabolism. 2016 Jul; 36(7): 1244-1256.

69. Zhengjun Li, Zhuo Fang, Nathan Hager, Hengyi Rao, Ze Wang. Hyper-resting brain entropy within chronic smokers and its moderation by Sex. Scientific Reports. 2016 Jul5; 6:29435.

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70. Zhengjun Li, Yu-Feng Zang, Jianping Ding, Ze Wang. Assessing the Mean Strength and Variations of the Time-to-Time Fluctuations of Resting State Brain Activity. Medical and Biological Engineering and Computing. 2017 Apr; 55 (4):631-640.

71. Paul S. Regier, Z. A. Monge, T.R. Franklin, R. Wetherill, A. Teitelman, Kanchana Jagannathan, Jesse Suh, Ze Wang, Kimberly Young, Michael Gawrysiak, Daniel Langleben, Kyle Kampman, Charles O'Brien, Anna Rose Childress. Emotional, Physical, and Sexual Abuse are Associated with a Heightened Limbic Response to Cocaine Cues. Addiction Biology. 2017 Nov; 22(6): 1768-1777.

72. Sudipto Dolui, Ze Wang, David A. Wolk, John A. Detre. Structural Correlation based Outlier Rejection (SCORE) algorithm for ASL time series. Journal of Magnetic Resonance Imaging. 2017 Jun; 45(6):1786-1797.

73. Ze Wang, Jesse Suh, Dingna Duan, Stefanie Darnley, Ying Jing, Jian Zhang, Charles O’Brien, Anna Rose Childress. A Hypo-Status in Drug Dependent Brain Revealed by Multi-modal MRI. Addiction Biology. 2017 Nov; 22(6):1622-1631.

74. Ying Jing, Wei Peng, Ze Wang. Treating nicotine dependence with transcranial magnetic stimulation. Proc Neurosci. 2016; 1(2).

75. Yulin Chang, Marta Vidorreta, Ze Wang, Yuling Chang, María A. Fernández-Seara and John A. Detre. 3D-Accelerated, Stack-of-spirals Acquisitions and Reconstruction of Arterial Spin Labeling MRI. Magnetic Resonance in Medicine. 2017 Oct; 78(4):1405-1419.

76. Ying Zhou, Ruiting Zhang Sheng Zhang, Shenqiang Yan, Ze Wang, Bruce C. V. Campbell, David S. Liebeskind, Min Lou. Impact of perfusion lesion in corticospinal tract on response to reperfusion. European Radiology. 2017 Dec;27(12): 5280-5289..

77. Wenxiang Liao, Ze Wang, Xiangrong Zhang, Hao Shu, Zan Wang, Duan Liu, and Zhijun Zhang. Cerebral blood flow changes in remitted early- and late-onset depression patients. Oncotarget. 2017 Jul 12;8(44):76214-76222.

78. Sudipto Dolui, Marta Vidorreta, Ze Wang, Ilya M. Nasrallah, Abass Alavi, David A. Wolk and John A. Detre. Comparison of PASL, PCASL, and background-suppressed 3D PCASL in mild cognitive impairment. Human Brain Mapping. 2017 Oct; 38(10):5260-5273.

79. Qiu Ge, Wei Peng, Jian Zhang, Xuchu Weng, Yong Zhang, Thomas Liu, Yu-Feng Zang, Ze Wang. Short-term apparent brain tissue changes are contributed by cerebral blood flow alterations. PloS One. 2017 Aug 18; 12(8): e0182182.

80. Vidorreta M , Wang Z, Chang YV, Wolk DA, Fernández-Seara MA, Detre JA. Whole-brain background-suppressed pCASL MRI with 1D-accelerated 3D RARE Stack-Of-Spirals readout. Plos One. 2017 Aug 24;12(8):e0183762.

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81. Wei Peng, Jian Zhang, Da Chang, Zhuo-Wen Shen, Yuanqi Shang, Donghui Song, Qiu Ge, Xuchu Weng, Ze Wang. Attention and working memory task-load dependent activation increase and deactivation decrease after caffeine ingestion. Investigative Magnetic Resonance Imaging. 2017.

82. Shao-Wei Xue, Yonghu Guo, Wei Peng, Jian Zhang, Da Chang, Yu-Feng Zang, Ze Wang. Increased low-frequency resting brain activity by high-frequency repetitive TMS on the left dorsolateral prefrontal cortex, Frontiers in Psychology-Perception Science. Front Psychol. 2017 Dec 22; 8:2266.

83. Hanchan Zhu, Jian Zhang, Ze Wang. Arterial spin labeling perfusion MRI signal denoising using robust principal component analysis. Journal of Neuroscience Methods. 2018 Feb 1;28,295:10-19.

84. Hanchan Zhu, Guanghua He, Ze Wang. Patch Based Local Learning Method for Cerebral Blood Flow Quantification with Arterial Spin Labeling MRI. Medical and Biological Engineering and Computing. 2018 Jun;56(6):951-956.

85. Da Chang, Donghui Song, Jian Zhang, Yuanqi Shang, Qiu Ge, Ze Wang. Caffeine Caused a Widespread Increase of Resting Brain Entropy. Scientific Reports. 2018 Feb 9;8(1): 2700.

86. Yuan-Qi Shang*, Jun Xie*, Wei Peng, Jian Zhang, Da Chang, Ze Wang. Network-wise Cerebral Blood Flow Redistribution after 20 Hz rTMS on Left Dorso-Lateral Prefrontal Cortex. European Journal of Radiology. 2018 Apr; 101:144-148.

87. Donghui Song, Da Chang, Jian Zhang, Wei Peng, Yuanqi Shang, Xin Gao, Ze Wang. Reduced brain entropy by repetitive transcranial magnetic stimulation on the left dorsolateral prefrontal cortex in healthy young adults. Brain Imaging and Behavior. 2018 Apr 9;1-9. doi: 10.1007/s11682-018-9866-4

88. Yiran Li, Sudipto Dolui, Dan-Feng Xie, Ze Wang. for the ADNI, Priors-guided Slice-wise Adaptive Outlier Cleaning for Arterial Spin Labeling Perfusion MRI. Journal of Neuroscience Methods. 2018 Sep 1; 307:248-253.

89. Zhang Y, Yang Y, Wang Z, Bian R, Jiang W, Yin Y, Yue Y, Hou Z and Yuan Y. Altered Regional Cerebral Blood Flow of Right Cerebellum Posterior Lobe in Asthmatic Patients With or Without Depressive Symptoms. Front Psychiatry.2018 May 28;9:225. doi: 10.3389/fpsyt.2018.00225

90. D. Chang, J. Zhang, W. Peng, Z. Shen, X. Gao, Y. Du, Q. Ge, D. Song, Y. Shang, Z. Wang. Smoking Cessation with 20Hz Repetitive Transcranial Magnetic Stimulation (rTMS) Applied to Two Brain Regions: A pilot study. Front. Hum. Neurosci. 2018 Sep. doi: 10.3389/fnhum.2018.00344

91. Donghui Song, Da Chang, Jian Zhang, Qiu Ge, Yu-Feng Zang, Ze Wang. Associations of Brain Entropy (BEN) to Cerebral Blood Flow and fractional Amplitude of Low-Frequency Fluctuations in the Resting Brain. Brain imaging and

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Ze Wang, Ph.D.

behavior. 13(5): 1486-1495, 2019

92. Liu Y, Wang Z, Liang R, Liang Z, Lu H. Partial volume correction for arterial spin labeling using the inherent perfusion information of multiple measurements. Biomed Eng Online. 2019 Feb 4;18(1):12. doi: 10.1186/s12938-019-0631-8. PubMed PMID: 30717765; PubMed Central PMCID: PMC6360711.

93. Ze Wang, Jian Zhang, Di Cui, Jun Xie, Mengye Lyu, Edward S. Hui, Ed. X. Wu. Magnetic Resonance Fingerprinting using A Fast Dictionary Searching Algorithm: MRF-ZOOM. IEEE Trans on Bio Med Eng. 2019, 66(6):1526-1535. doi: 10.1109/TBME.2018.2874992.

94. Shaowei Xue, Qingbao Yu, Yonghu Guo, Donghui Song, Ze Wang. Resting-state brain entropy in schizophrenia. Comprehensive Psychiatry. 2019 Feb; 89: 16-21.

95. Yuanqi Shang, Da Chang, Jian Zhang, Wei Peng, Donghui Song, Xin Gao, Yong Zhang, Qiu Ge, Ze Wang. Theta-burst transcranial magnetic stimulation induced functional connectivity changes between dorsolateral prefrontal cortex and default-mode-network. Brain imaging and behavior, in press (2019).

96. Xiaohui Yao, Shannon L Risacher, Kwangsik Nho, Andrew J Saykin, Ze Wang, Li Shen. Targeted genetic analysis of cerebral blood flow imaging phenotypes identifies the INPP5D gene. Neurobiology of Aging. 2019:81:213-221.

97. Xiaoyun Liu, D., Yingying Yin, Chunming Xie, Haisan Zhang, Hongxing Zhang, Zhijun Zhang, Ze Wang, Yonggui Yuan, Altered Brain Entropy as a predictor of Antidepressant Response in Major Depressive Disorder. Journal of Affective Disease, 2020 Jan 1;260:716-721.

98. Ze Wang, Di Cui, Jian Zhang, Ed. X. Wu, Edward S. Hui, MRF-ZOOM for the unbalanced steady-state precession (ubSSFP) magnetic resonance fingerprinting. Magnetic Resonance Imaging, 2020 (in press).

99. Danfeng Xie, Y Li, H Yang, Li Bai, T Wang, F Zhou, L Zhang, Ze Wang. Denoising Arterial Spin Labeling Cerebral Blood Flow Images Using Deep Learning. Magnetic Resonance Imaging, 2020, S0730-725X(19)30412-6.

Peer-reviewed top conference papers 1. Ze Wang , Jiongjiong Wang , AnnaRose Childress , Hengyi Rao , John A. Detre.

CRLS-PCA Based Independent Component Analysis for fMRI Study. The 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Shanghai, China (oral presentation). 2005 Sep;5904-5907.

2. Yongsheng Zhang, Daniel Y. Kimberg, H. Branch Coslett, Myrna F. Schwartz, Ze Wang. Support Vector Regression Based Multivariate Lesion-Symptom Mapping. IEEE EMBC 2014, Chicago (oral presentation).2014.

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3. Jun Xie, Mengye Lyu, Jian Zhang, Edward S. Hui, Ed. X. Wu, Ze Wang. Fast Dictionary Generation and Searching for Magnetic Resonance Fingerprinting. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2017; 3256-3259. (oral presentation).

4. Zheng Li, Qingping Liu, Yiran Li, Qiu Ge, Yuanqi Shang, Donghui Song, Ze Wang, Jun Shi, A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. MICCAI 2019. Lecture Notes in Computer Science, vol 11766, 12-20. Springer, Cham.

5. Danfeng Xie, Yiran Li, Li Bai, Ze Wang, BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks. In: Suk HI., Liu M., Yan P., Lian C. (eds) Machine Learning in Medical Imaging. MLMI 2019. Lecture Notes in Computer Science, vol 11861, 373-381. Springer, Cham.

6. Wang Z. (2019) Mapping the Spatio-Temporal Functional Coherence in the Resting Brain. In: Zhu D. et al. (eds) Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy. MBIA 2019, MFCA 2019. Lecture Notes in Computer Science, vol 11846, 39-48. Springer, Cham.

Submitted or In-Revision Peer-reviewed journal articles

1. Hanlu Yang, Yiran Li, Danfeng Xie, Ze Wang, POCS Augmented CycleGAN for MR Image Reconstruction, IEEE TBME.

2. Yiran Li, Danfeng Xie, Abigail Cember, Ravi Prakash Reddy Nanga, Hanlu Yang, Dushyant Kumar, Hari Hariharan, Li Bai, John A. Detre, Ravinder Reddy, Ze Wang, Accelerating GluCEST imaging using Deep Learning, MRM.

Non-peer-reviewed journal articles

1. Danfeng Xie, Li Bai, Ze Wang. Denoising Arterial Spin Labeling Cerebral Blood Flow Images Using Deep Learning. arXiv:1801.09672. 2018.

2. Ze Wang. MRF-ZOOM: A Fast Dictionary Searching Algorithm for Magnetic Resonance Fingerprinting. arXiv:1506:05393. 2015.

Book Chapters1. Ze Wang: “Constrained ICA”, “Independent component analysis in data

compression and fMRI data analysis”, In Blind Signal Processing: Theory and Applications, Edited by Xizhi Shi. Springer and Shanghai Jiao Tong University Press, 2008.

Abstracts and/or Proceedings

1. T.R. Franklin, N. Sciortino, Z. Wang, J. Wang. A. Childress. Explicit smoking cues elicit a characteristic pattern of regional brain activation as evidenced by CASL-perfusion fMRI. Neuroscience 2005, Washington, DC. 2005; Online No. 683.6.

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2. D.D. Langleben, S.I. Busch, N. Sciortino, M.B. Holloway, R. Pratiwadi, J. Wang, Z. Wang, J.A. Detre, C.P. O'Brien, A. Childress. Methadone reduces limbic system response to salient drug cues in patients with a history of heroin dependence program. 2005 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience. 2005; Online No. 920.5.

3. D.D. Langleben, S. Busch, N.E. Sciortino, J. Wang, Z. Wang, J. Listerud, C.P. O’Brien and A.R. Childress. Perfusion magnetic resonance imaging of opiate-dependent patients exposed to drug-related cues. College on Problems of Drug Dependence conference. 2005 Jun.

4. Ze Wang, A.R. Childress, N. Sciortino, J. Detre, J. Listerud, C. P. O'Brien. Inverse relationship between resting PASL limbic perfusion and off-magnet measures of decision-making, inhibition of pre-potent responding and risk-taking. College on Problems of Drug Dependence conference. 2005 Jun.

5. Ze Wang, Jiongjiong Wang, John A. Detre. An Improved Reconstruction Method for Auto-calibrating Partially Parallel Imaging. Proceeding of ISMRM 2005 (oral presentation).2005.

6. Fernandez-Seara MA, Wang J, Wang Z, Rao H, Guenther M, Feinberg DA, Detre JA. Continuous arterial spin labelling perfusion measurements using single shot 3D GRASE at 3T. Proceedings of ISMRM 2005, Miami.2005.

7. Ze Wang, Anna Rose Childress, John A. Detre. Boost up the detection sensitivity of ASL perfusion fMRI through support vector machine. The 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . New York. September 2006.

8. J.J. Suh, R. Ehrman, Z. Wang, Y. Li, J.G. Hakun, M. Goldman, R. Bernstiel, T. Franklin, C.P. O’Brien, J. Detre, A.R. Childress. Low resting perfusion in the anterior cingulate predicts increased depressive symptoms in cocaine-dependent patients. CPDD06. 2006.

9. Z. Wang, T. Franklin, Y. Li, C.P. O’Brien, J.A. Detre and A. R Childress. Optimizing analyses of arterial spin labeling perfusion fMRI for drug abuse studies. CPDD06. 2006.

10. Y. Li, Z. Wang, R. Ehrman, T. Franklin, D. Langleben, C.P. O’Brien and A.R. Childress. Connectivity analyses reveral a limitation of fast event-related fMRI designs with arousing stimuli: “Carry-over” effects. CPDD06. 2006.

11. A.R. Childress, Z. Wang, R. Ehrman, Y. Li, N.Sciortino, K. Marquez, J.G. Hakun and C.P. O’Brien. Limbic activation by cocaine cues presented outside awareness in cocaine patients: Prelude to craving. CPDD06. 2006.

12. M. Goldman, R. N. Ehrman, Z. Wang, Y. Li, J.G. Hakun, M.R. MacDougall, J.J. Suh, C.P. O’Brien, J. Detre and A.R. Childress. Low resting perfusion in the

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Ze Wang, Ph.D.

ventromedial prefrontal cortex and amygdale of cocaine-dependent patients predicts poor response inhibition in a novel Affect-congruent Go NoGo task. CPDD06. 2006.

13. Z. Wang, M. A. Fernandez-Seara, D. C. Alsop, W-C. Liu, A. Benasich, J. Wang, J. A. Detre. CASL Perfusion MRI in Normal Infant Brain Development. ISMRM 2006, Seattle, USA. 2006;p3403.

14. M. A. Fernandez-Seara, Z. Wang, J. Wang, M. Korczy, D. Feinberg, M. Guenther, J. A. Detre. 3T Pseudo-continuous ASL Perfusion fMRI with Background-suppressed Single Shot 3D GRASE During Memory Encoding. ISMRM 2006, Seattle, USA. 2006; p378.

15. H. Rao, D. F. Dinges, D. Censits, D. DuRousseau, D. Roalf, Z. Wang, G. K. Aguirre, J. A. Detre, J. Wang. Simultaneous EEG and ASL Perfusion fMRI during Resting and Mental Calculation: A Preliminary Study. ISMRM 2006, Seattle, USA. 2006; p3299.

16. A.R. Childress, Y. LI, Z. Wang, M. Goldman, R. Ehrman, W. Jens, J. Suh, K. Kampman, T. Franklin, D. Langleben, J. Detre, C. P. O'Brien. Can the GABA B agonist baclofen reduce “carry-over” of limbic arousal from cocaine cues? Annual Neuroscience Meeting, San Diego. 2007; No. 912.12/GG14 (online).

17. Z. Wang, Y. LI, R. Ehrman, A. V. Hole, M. Macdougall, W. Jens, T. Franklin, J. A. Detre, C. P. O'Brien, A. R. Childress. A support vector machine (SVM) is superior to univariate GLM for characterizing cue-induced limbic activation by arterial spin labeling (ASL) perfusion fMRI. Annual Neuroscience Meeting, San Diego. 2007;No. 767.4 (online).

18. M. J. Wald, J. Magland, Z. Wang, T. Connick, and F. W. Wehrli. Feasibility of high resolution partial parallel imaging in the distal tibia for improved structural anisotropy analysis. ISMRM07, Berlin. 2007.

19. A. R. Childress, Z. Wang, Y. Li, R. Ehrman, A.V. Hole, M. MacDougall, T. Franklin, D. Langleben, J. Detre, and C. P. O’Brien. Brain substrates for cue-induced cocaine craving (“GO”) and its inhibition (“STOP”) as revealed by machine classifier learning. CPDD07.2007.

20. Ze Wang, Jiongjiong Wang, John A. Detre, Group Analysis of ASL Perfusion fMRI Data based on Permutation Testing in individual subjects. ISMRM07, Berlin. 2007.

21. A. Childress, R.N. Ehrman, Z. Wang, Y. Li, T. Franklin, M. Goldman, J. Suh, A. Fornash, J. Hakun, W. Jens, J. Cruz, J. Plebani, K. Kampman, and C.P. O'Brien. Can baclofen and varenicline facilitate extinction of the limbic brain response to brief cocaine cue? CPDD08. 2008; No. 138.

22. M. Goldman, R. Ehrman, Z. Wang, Y. Li, J. Hakun, W. Jens, J. Suh, C.P.

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Ze Wang, Ph.D.

O'Brien, J. Detre and A.R. Childress. A novel affect-congruent go nogo task demonstrates limbic prepotency in cocaine-dependent patients. CPDD08.2008; No. 263.

23. T. Franklin, Z. Wang, F. Lohoff, Y. Li, K. Kampman, W. Berrettini C. P. O'Brien and A.R. Childress. Dat genotype underlies the intensity and direction of corticolimbic activation to smoking cues. CPDD08.2008; No. 238.

24. Ze Wang, John Pluta, Dawn Mechanic-Hamilton, Simon Glynn, John A. Detre. Function Lateralization via Measuring Coherence Laterality. Annual meeting of the International Society of Magnetic Resonance in Medicine, Honolulu, Hawaii. 2009 May 8.

25. Zhengjun Li, Aniseh Kadivar, John Pluta, Holly Soares, John Detre, Murray Grossman, Ze Wang. Aging effects on the functional connectivity in the resting brain. Annual Meeting of the International Society of Magnetic Resonance in Medicine, Stockholm, Sweden. 2010 May 14.

26. Ze Wang. A fixed-point iteration based constrained independent component analysis and its application in fMRI. Annual Meeting of the International Society of Magnetic Resonance in Medicine, Stockholm, Sweden. 2010 May 14.

27. Magland, Jeremy F. ; Wang, Ze; Willard, Daniel; Childress, Anna Rose. A Rapid Whole-Brain Classifier for Real-Time Functional MRI Feedback. Annual Meeting of the International Society of Magnetic Resonance in Medicine, Stockholm, Sweden. 2010 May 14. (oral presentation).

28. William Hu, Ze Wang, John Detre, Virginia Lee, John Trojanowski, Murray Grossman. Distinct Patterns of Cerebral Blood Flow in Frontotemporal Lobar Degeneration and Alzheimer’s Disease. American Academy of Neurology 62nd Annual Meeting, Toronto, Canada. 2010 Feb 12. (oral presentation).

29. Z. Wang, Y. Li, A.V. Hole, J. J. Suh, A. Fornash, D. Willard, R. N. Ehrman, T. Franklin, C. P. O'Brien, A. R. Childress. Addiction-associated spontaneous brain activation alterations in the resting state. College on Problem of Drug Dependence Annual Meeting, Scottsdale, AZ. 2010 Jun 18.

30. Thomas Fischer, Kersten Diers, Ze Wang, Clemens Kirschbaum, Andrea Antal, Alex Strobel, Burkhard Brocke. Abstinence induced craving activity influenced by tDCS: a pCASL Study. Annual Meeting of the Organization for Human Brain Mapping, Barcelona, Spain. 2010 Jun 10.

31. Ze Wang. CBF Quantification using a Data Derived Arterial Spin Labeling Temporal Profile. Chinese Society of Magnetic Resonance in Medicine & Chinese Society of Magnetic Resonance in Medicine Joint Meeting 2010, and European Society of Magnetic Resonance in Medicine and Biology Workshop, Shanghai, China. 2010 Aug 13. (oral presentation).

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32. Ze Wang. Regional Coherence-based Denoising (RECODE) for Arterial Spin Labeled Perfusion MRI. Annual Meeting of the International Society of Magnetic Resonance in Medicine, Montreal, Canada. 2011 May 10.

33. Ze Wang, Zhengjun Li, Aniseh Kadivar, John Dunlop, John A. Detre, Murray Grossman, David Wolk. Regional CBF Measured by ASL MRI Predicts Cognitive Performance Difficulty in Alzheimer’s Disease. Annual Meeting of the Organization for Human Brain Mapping, Quebec, Canada. 2011 Jun 10.

34. Z. Wang, T. Franklin,, Y. Li, R. Ehrman, J. Detre, C.P. O'Brien, and A.R. Childress. How does expectancy of an "anti-craving" medication impact brain reward circuitry. 2011 Annual Meeting of Society for Neuroscience, Washington, DC. 2011 Nov 15.

35. Marta Vidorreta, Ze Wang, Ignacio Rodríguez, John A. Detre, and María A. Fernández-Seara. Effects of Readout Sequence on the Temporal and Spatial SNR of Pseudo-continuous Arterial Spin Labeling. Annual Meeting of the International Society of Magnetic Resonance in Medicine, Melbourne, Australia. 2012 May 9.

36. Ze Wang, John A Detre. Machine learning-based cerebral blood flow quantification for ASL MRI. Annual Meeting of the International Society of Magnetic Resonance in Medicine, Melbourne, Australia. 2012 May, 9.

37. Zhengjun Li, John Pluta, Anna Rose Childress, Ze Wang. The Correlation between Functional Connectivity and Cerebral Blood Flow and its reliability. Annual Meeting of the Organization for Human Brain Mapping, Beijing, China. 2012 Jun 12.

38. Yongsheng Zhang, Daniel Y. Kimberg, H. Branch Coslett, Myrna F. Schwartz, Ze Wang. Language Deficit Prediction Using Brain Lesion Geometry Feature-based Support Vector Regression. Annual Meeting of the Organization for Human Brain Mapping, Beijing, China. 2012 Jun 11.

39. Ze Wang, Olufunsho K. Faseyitan, Daniel Y. Kimberg, H. Branch Coslett, Myrna F. Schwartz. Lesion-based Language Deficit Localization and Prediction Using Partial Least Square (PLS) Analysis. Annual Meeting of the Organization for Human Brain Mapping, Beijing, China. 2012 Jun 11.

40. Ze Wang. Characterizing Resting Brain Information using Voxel-based Brain Information Mapping (BIM). Annual Meeting of the Organization for Human Brain Mapping, Beijing, China. 2012 Jun 12.

41. S. LAM, Z. WANG, J. MAGLAND, C. P. O'BRIEN, A. CHILDRESS. Multivariate structural feature analysis can readily distinguish the brains of cocaine patients from those of demographically-matched comparison subjects. Annual meeting of Society for Neuroscience, New Orleans, LA, USA. 2012.

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42. Ze Wang. Stable and Self-Organized Entropy in the Resting Brain. The Third Biennial Conference on Resting State Brain Connectivity, Magdeburg, Germany. 2012;208.

43. Marta Vidorreta, Z. Wang, John A. Detre, María A. Fernández-Seara. Resting State Functional Connectivity of the Hand Motor Area Evaluated using Perfusion fMRI. ISMRM Workshop on Perfusion MRI: Standardization, Beyond CBF & Everyday Clinical Applications, Amsterdam, The Netherlands. 2012.

44. Ze Wang, A. M., Marcus Raichle, Anna Rose Childress, and John A Detre. Mapping brain entropy using resting state fMRI. 2013 Annual Meeting of International Society of Magnetic Resonance in Medicine, Salt Lake City, USA: 4861. 2013.

45. Yongsheng Zhang, Z. W. Arterial spin labeling (ASL) denoising with Markov random field (MRF) optimization. The 21th Annual Meeting of the International Society of Magnetic Resonance in Medicine, Salt Lake City, USA. 2013.

46. Ze Wang, S. D., David Wolk, John A Detre. Assessing Arterial Spin Labeled Perfusion MRI as an Early-Alzheimer's Disease Marker using the ADNI 2 data. The 21th Annual Meeting of the International Society of Magnetic Resonance in Medicine. Salt Lake City, USA: 1500. 2013 (oral presentation).

47. Ze Wang, Jesse Suh, Yin Li, Zachary Singer, Ronald Ehrman, Anita.V. Hole, Charles P. O'Brien, and Anna Rose Childress. Human brain entropy mapping using thousands of subjects and its application in a drug addiction study. 2013 Annual meeting of SFN, San Diego, USA. 2013 (oral presentation, hot topic).

48. Ze Wang, Tiejun Zhao, and Linqing Li. Cerebral Blood Volume Imaging using DANTE-based Flow Suppression. ISMRM 2014.2014; 4668.

49. Ze Wang. A Spatially Constrained Temporally Adapted CBF Quantification Method for Arterial Spin Labeling (ASL) Perfusion MRI. ISMRM 2014.2014.

50. Vidorreta, M., Balteau, E., Wang, Z., De Vita, E., Pastor, M.A., Thomas, D.L., Detre, J.A. and Fernández-Seara, M.A. Whole-brain high-resolution ASL at 3T. ISMRM 2014 (oral presentation).2014.

51. Sudipto Dolui, Raghav Mattay, Ze Wang, Mack Finkel, Alex Smith, Mark Elliott, Lisa Desiderio, Ben Inglis, Bryon Mueller, Danny J.J. Wang, Lenore J. Launer, Robert Kramer, R. Nick Bryan, and John A. Detre. Cerebral Blood Flow using pCASL MRI and Phase Contrast Angiography in a Large Cohort., ISMRM 2014 (oral presentation).2014.

52. Yongsheng Zhang, Ze Wang. Suppressing Spurious Motions in Rigid-Body Motion Corrections. OHBM 2014.2014.

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53. Z. Wang, J. J. Suh, K.A. Young, Z. Monge, C. P. O'Brien, A. R. Childress. A Hyper-connected and More Resilient Small-world Network in the Cocaine-Dependent Brain. CPDD 2014.2014.

54. Ze Wang, Jesse Suh, Charles P. O'Brien, Teri Franklin, and Anna Rose Childress. A Hypo-Status Revealed by Multi-modal Neuroimaging in Drug Addicted Brain. SFN 2014, Washington DC.2014.

55. Vidorreta, M., Wang, Z., Yulin Chang, Fernández-Seara, M.A, Detre, J.A. Single-Shot Whole-Brain Background-Suppressed pCASL MRI with 1D Accelerated 3D RARE Stack-Of-Spirals Readout. ISMRM 2015, Toronto, Canada.2015.

56. Yulin Chang, Vidorreta, M., Wang, Z., Detre, J.A. Reducing Readout Duration in Single-Shot, Stack-of-Spirals Arterial Spin Labeling Using 2D In-plane Accelerations. ISMRM 2015, Toronto, Canada.2015.

57. Sudipto Dolui, Ze Wang, David A. Wolk, John A. Detre. An Outlier Rejection Algorithm for ASL Time Series: Validation with ADNI Control Data. ISMRM 2015, Toronto, Canada. 2015.

58. Sudipto Dolui, Ze Wang, David A. Wolk, John A. Detre. Comparison of PASL, pCASL and background suppressed 3D pCASL in a Clinical Population. ISMRM 2015, Toronto, Canada. 2015.

59. Zhengjun Li, Teresa Franklin, Hengyi Rao, and Ze Wang. Resting State Brain Entropy Alterations in Chronic Cigarette Smokers. 2015 Annual Meeting of the Organization for Human Brain Mapping, Honolulu, Hawaii. 2015.

60. Qiu Ge, Ni Du, Da Li, Xiaozhen Liu, Luoyu Wang, Yufeng Zang, Xuchu Weng, Ze Wang. Caffeine Induced CBF Reduction Is Correlated with Caffeine Induced Brain Activation Increase. 2015 Annual Meeting of the Organization for Human Brain Mapping, Honolulu, Hawaii. 2015

61. Ze Wang, Jesse Suh, and Anna R Childress. Tissue Deficits are Associated with Stronger Functional Connectivity in Drug Dependent Brain: A Multimodal Imaging Study. 2015 International Conference on Global Health, Hangzhou, China (oral presentation). 2015.

62. Qiu Ge, Wei Peng, Yong Zhang, Yu-Feng Zang, Thomas Liu, Xuchu Weng, Ze Wang. MRI-derived short-term brain tissue changes are mainly caused by cerebral blood flow alterations. OHBM 2016, Geneva, Switzerland. 2016.

63. Ze Wang. Priors-guided adaptive outlier cleaning for arterial spin labeling perfusion MRI. ISMRM 2016, Singapore. 2016.

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64. Ze Wang. Improving ASL Perfusion MRI-based Functional Connectivity Analysis with Robust Principal Component Analysis. ISMRM 2016, Singapore. 2016.

65. Zhengjun Li, Ze Wang. Alzheimer’s Disease is Associated with Hypo-Brain Entropy. ISMRM 2016, 3825, Singapore. 2016.

66. Yulin V. Chang, Marta Vidorreta, Ze Wang, John A. Detre. SPOT: SPIRiT Image Reconstruction with Custom Kernel Geometry. ISMRM 2016, Singapore. 2016.

67. Yulin V. Chang, Marta Vidorreta, Ze Wang, John A. Detre. Highly-Accelerated, Self-Calibrated Stack-of-Spirals Arterial Spin Labeling Using 3D SPIRiT Reconstruction. ISMRM 2016, Singapore. 2016.

68. Qiu Ge, Wei Peng, Yong Zhang, Yu-Feng Zang, Thomas Liu, Xuchu Weng, Ze Wang. Short-term cerebral blood flow reduction induced “apparent” brain tissue density reductions. ISMRM 2016, Singapore (oral presentation). 2016.

69. Ze Wang. Longitudinal CBF changes predict disease conversion/revision in AD and MCI. OHBM 2016, Geneva, Switzerland.2016.

70. Shao-Wei Xue, Yonghu Guo, Wei Peng, Yu-Feng Zang, Ze Wang. Increased low-frequency resting state fluctuations after high-frequency repetitive TMS of left dorsolateral prefrontal cortex. The 5th Biennial Conference on Resting State/Brain Connectivity, 2016, Vienna. 2016.

71. Xiaozheng Liu, Wei Peng, Da Li, Jian Zhang, Jun Xie, Ze Wang. Functional connectome alterations induced by high-frequency rTMS. The 5th Biennial Conference on Resting State/Brain Connectivity, 2016, Vienna. 2016.

72. Xiaozheng Liu, Wei Peng, Da Li, Jian Zhang, Jun Xie, Ze Wang. Brain network alterations induced by high-frequency rTMS. SFN 2016, San Diego (oral presentation). 2016.

73. Wei Peng, Ze Wang. rTMS modulates network-wise brain activity during rest and sustained attention. SFN 2016, San Diego (oral presentation). 2016.

74. Donghui Song, Wei Peng, Jian Zhang, Yuanqi Shang, Ze Wang. Decreased brain entropy by 20 Hz rTMS on the left dorsolateral prefrontal cortex. ICMRI 2017, Seoul, South Korea (oral presentation). 2017.

75. Yuanqi Shang, Yonghu Guo, Wei Peng, Da Chang, Jian Zhang, Ze Wang. rTMS increased functional connectivity (FC) between dorso-lateral prefrontal cortex (DLPFC) and medial orbito-frontal cortex (MOFC). ICMRI 2017, Seoul, South Korea (oral presentation). 2017.

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Ze Wang, Ph.D.

76. Jian Zhang, Jun Xie, Mengye Lyu, Edward S. Hui, Ed. X. Wu, Ze Wang. MRF-ZOOM: a fast dictionary generation and searching algorithm for magnetic resonance fingerprinting (MRF). ICMRI 2017, Seoul, South Korea. 2017.

77. Jun Xie, Wei Peng, Ze Wang. Distributed rCBF changes caused by high frequency rTMS on lateral prefrontal cortex. ISMRM 2017, Hawaii, USA. 2017.

78. Z. Shen, D. Chang, W. Peng, J. Zhang, Q. Ge, X. Gao, Y. Jing, Y. Du, Z. Zhao, A. R. Childress, Z. Wang. 10-days 20 Hz Repetitive Magnetic Stimulation (rTMS) Recovered Functional Connectivity in Chronic Smokers: A pilot study. SFN 2017, Washington DC. 2017.

79. D. Chang, Q. GE, J. ZHANG, Z. WANG. Caffeine Caused A Widespread Increase of Resting Brain Entropy. SFN 2017, Washington DC. 2017.

80. Danfeng Xie, Yiran Li, Li Bai, Ze Wang. Denoising arterial spin labeling cerebral blood flow images using deep learning-based methods. ISMRM Workshop on Machine Learning, Pacific Grove, CA. 2018 Mar 14. (oral presentation).

81. Danfeng Xie, Yiran Li, Li Bai, Ze Wang. Super-ASL: Improving SNR and Temporal Resolution of ASL MRI Using Deep Learning. ISMRM Workshop on Machine Learning, Pacific Grove, CA. 2018 Mar 14.

82. Danfeng Xie, Yiran Li, Li Bai, Ze Wang, Denoising arterial spin labeling cerebral blood flow images using deep learning-based methods, Proc of ISMRM, Paris, France. 2018 Jun 20; pg 6305.

83. Qingping Liu, Jun Shi, Ze Wang. Increasing Arterial Spin Labeling Perfusion Image Resolution Using Convolutional Neural Networks with Residual-Learning. Proc of ISMRM, Paris, France. 2018 Jun 21; pg 8314.

84. Hanchan Zhu, Jian Zhang, Ze Wang. Patch based low rank and sparse decomposition for arterial spin labeling perfusion MRI signal denoising. Proc of ISMRM, Paris, France. 2018 Jun 20; pg4489.

85. Hanlu Yang, Ze Wang. POCS-augmented CycleGAN for MR image reconstruction. ISMRM workshop on machine learning part II, poster 37, Washington DC. 2018 Oct 24.

Major Invited Speeches

1. An Improved Reconstruction Method for Auto-calibrating Partially Parallel Imaging, the 13th Annual Meeting of ISMRM, Miami, Florida, 2005.

2. CRLS-PCA based independent component analysis for fMRI data analysis, Annual Meeting of IEEE EMBC, Shanghai, China, 2005.

3. 2D partial parallel imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen, China, 2007.

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Ze Wang, Ph.D.

4. A support vector machine (SVM) is superior to univariate GLM for characterizing cue-induced limbic activation by arterial spin labeling (ASL) perfusion fMRI, Annual Conference of Society of Neuroscience, San Diego, California, 2007

5. Surrounding Neighbors Based Partially Parallel Imaging, Pendergrass Symposium, Department of Radiology, University of Pennsylvania School of Medicine, 2008

6. Arterial Spin Labeling Perfusion MRI: From Bench Side to Bed Side, Shanghai Jiao Tong University, Shanghai, China, 2010.

7. Cerebral Blood Flow Quantification using a Data Derived arterial Spin Labeling Temporal Profile", Chinese Society of Magnetic Resonance in Medicine, Overseas Chinese Society of Magnetic Resonance in Medicine, Joint Meeting and European Society for Magnetic Resonance in Medicine and Biology Workshop, Shanghai, China, 2010.

8. Toward High-Fidelity ASL MRI, Shanghai Jiao Tong University, Shanghai, China, 2011.

9. Advanced Signal Processing for ASL Perfusion MRI, International Society of Magnetic Resonance in Medicine and Overseas Chinese Society of Magnetic Resonance in Medicine Workshop, Beijing, China, 2011.

10. ASL MRI and Its Application in Smoking Addiction Study, Hangzhou Normal University, China, 2011.

11. ASL MRI and Its Application in Clinical Research, Nanjing Jinling Hospital, Nanjing, China, 2011.

12. Arterial Spin Labeling MRI Cerebral Blood Flow Quantification Using Machine Learning, School of Biomedical Engineering, Drexel University, Philadelphia, PA, 2011.

13. Assessing Arterial Spin Labeled Perfusion MRI as an Early-Alzheimer’s Disease Marker using the ADNI 2 data, the 21th Annual Meeting of International Society of Magnetic Resonance in Medicine, Salt Lake City, USA, 2013.

14. Brain complexity mapping. ISMRM workshop & Chinese Society of Radiology Annual MRI meeting, 2013.

15. Functional MRI using ASL & BOLD imaging. The first Hangzhou advanced neuroimaging symposium, 2013.

16. Arterial spin labeling MRI. Lecture for undergraduate student of the departments of radiology and electrical engineering, University of Science and Technology of China, Heifei, China, 2013.

17. Human brain entropy mapping using thousands of subjects and its application in a drug addiction study. 2013 Annual meeting of SFN, San Diego, USA, 2013.

18. Mapping brain complexity using Sample Entropy and resting state fMRI, Queens College, New York City, 2014.

19. Advanced Arterial Spin Labeling Perfusion MRI Methods, - Penn-Siemens Workshop, Perelman School of Medicine, University of Pennsylvania., Philadelphia, PA, 2014.

20. Arterial spin labeling perfusion MRI signal processing using ASLtbx - 2014 OCSMRM-CSMRM joint annual conference, China Society of Radiology annual meeting, Changsha, China, 2014.

21. Arterial spin labeling perfusion MRI technique development and applications, Guilin University of Electronic Technology, Guilin, Guangxi Province, China,

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Ze Wang, Ph.D.

2014.22. Arterial spin labeling perfusion MRI sequence and post-processing technique

developing, Tsing Hua University, Beijing, China, 2014.23. Arterial spin labeling perfusion MRI, Beijing Normal University, Beijing, China,

2014.24. Tissue Deficits are Associated with Stronger Functional Connectivity in Drug

Dependent Brain: A Multimodal Imaging Study. 2015 International conference on Global Health: Prevention and Treatment of Substance Abuse and HIV (NIDA sponsored). Hangzhou, China, 2015.

25. Arterial Spin Labeling perfusion MRI sequence development and post processing, NIH/NIDA intramural program, Baltimore, MD, 2015.

26. Toward high fidelity ASL MRI, Johns Hopkins University, Baltimore, MD, 2015.27. Combing ASL and BOLD MRI for Assessing Brain Functions. The 6th FAONS

Congress and the 11th Biennial Conference of CNS. Wuzhen, Zhejiang Province, China.

28. Variability of resting state brain activity is predictive of Severity of Alzheimer’s Disease. 2015 China Biomedical Engineering Conference. Nanjing, China, 2015.

29. Toward high fidelity ASL MRI, 2016 ICMRI, Seoul, Korea, 2016.30. Short-term cerebral blood flow reduction induced “apparent” brain tissue density

reductions, ISMRM 2016, Singapore, 2016.31. Arterial spin labeling perfusion MRI and clinical applications, annual meeting of

CSMRM&OCSMRM, Suzhou, China, 2016.32. Advanced arterial spin labeling perfusion MRI technique development.

Advanced MR symposium, Tsinghua Medical Imaging Center, Tsinghua University, Beijing, China, 2016.

33. Assessing Alzheimer’s Disease with Arterial Spin Labeling Perfusion MRI, ASAD 2016, Hangzhou China, 2016.

34. Brain network alterations induced by high-frequency rTMS, SFN 2016, San Diego, 2016.

35. Brain entropy mapping, ICMRI 2017, Seoul, Korea, 2017.36. Arterial spin labeling perfusion MRI, ICMRI 2017, Seoul, Korea, 2017. 37. fMRI-based brain complexity study, CSMRM&OCSMRM 2017 Annual meeting,

Taiyuan, China, 2017. 38. Fast Dictionary Generation and Searching for Magnetic Resonance

Fingerprinting, 2017 IEEE EMBC, Jeju, Korea, 2017. 39. rTMS effects on resting state fMRI in normal subjects and chronic smokers.

Chinese Neuroscience Society Biannual Meeting, Tian Jing, China, 2017. 40. Machine Learning for Arterial Spin Labeling Perfusion MRI Signal Processing,

Medical College of Wisconsin, 2018. 41. Arterial Spin Labeling Perfusion MRI with machine learning,

CSMRM&OCSMRM 2018 Annual meeting, Beijing, China, 2018. 42. High-Fidelity Arterial Spin Labeling Perfusion MRI and Brain-Behavior Mapping,

University of Maryland, Department of Diagnostic Radiology and Nuclear Medicine, School of Medicine, 2019.

43. Fast magnetic resonance fingerprinting using MRF-ZOOM, Medical Image Computing Youth Forum 2019, Suzhou, China.

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Ze Wang, Ph.D.

44. Deep learning in Arterial Spin Labeling Perfusion MRI. The 1st Annual Meeting of Asian Society of Magnetic Resonance in Medicine, Shanghai, July 2019.

45. MRF-ZOOM: a fast dictionary generation and searching algorithm for MRF. 2019 Annual Meeting of Chinese Society of Magnetic Resonance in Medicine, Shanghai, July 2019.

46. Machine learning in arterial spin labeling perfusion MRI. The 4th International Conference on Physiology, 2019, Sep 15, Baltimore, MD, USA

47. Brain Entropy Mapping Using Resting State fMRI, CAIR Imaging Seminar, Baltimore, Sep 2019.

48. Brain Function Research Using Arterial Spin Labeling Perfusion MRI and Brain-Behavior Mapping, New Jersey Institute of Technology, Nov 2019.

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