Michigan Tech

Weihua Zhou, PhD (CV)

Tenure-Track Assistant Professor
College of Computing
Michigan Technological University

Email:
whzhou@mtu.edu

Address:
Michigan Technological University
College of Computing
1400 Townsend Drive
Houghton, MI 49931

Phone: (906) 487-2666

Tools for our team

Weihua Zhou, PhD


Tenure-Track Assistant Professor
see (Curriculum Vitae) for more details

Adademic Work Experience

  • Tenure-Track Assistant Professor (Nina Bell Suggs Endowed Professorship), University of Southern Mississippi 8/2015-7/2019
  • Tenure-Track Assistant Professor, Michigan Technological University 8/2019-present

Education and Training

  • B.Eng., Wuhan University, China 9/1999 - 6/2003
  • M.S.-Ph.D., Wuhan University, China 9/2003 - 12/2007
  • Ph.D., Southern Illinois University Carbondale 1/2008 - 8/2012
  • Post-Doc, Emory University 9/2012 - 8/2015

Honors and Awards

  • USM Nina Bells Suggs Endowed Professorship, April 2019
  • USM College of Arts and Sciences Scholarly Research Award, March 2018
  • AHA Research Leaders Academy, American Heart Association, September 2017 and August 2018
  • USM Butch Oustalet Distinguished Professorship Research Award, April 2018

Research          

Ongoing Research Support
  • NIH U19 subcontract (PI; in collaboration with Tulane University Center for Bioinformatics & Genomics)      09/01/2018-08/31/2021
    Title: Development and validation of new methods for risk prediction of osteoporosis Role: PI of this subcontract award

  • Michigan Tech New Faculty Startup Grant       08/19/2019-08/16/2021
    Role: PI



Lab Students           Recruiting volunteer RAs

Current Students
  • Chen Zhao, PhD Student / Research Assistant, Computational Science and Engineerning @ Michigan Tech
  • Zhuo He, PhD Student / Research Assistant, Computational Science and Engineerning @ Michigan Tech
  • Haipeng Tang, PhD Student / Research Assistant, Computer Science @ USM (since spring 2016)       USM Distinguished PhD Student Award       Web Link
Past Students
  • Sara Khawaja, Undergraduate Student, Computer Science at University of Southern Mississippi
  • Daniel McGonigle, Master Student, Computer Science at at University of Southern Mississippi
  • Venkatesh Reddy Bodapatla, Master Student of Computer Science at University of Southern Mississippi
  • Chiranjeevi Danda, Master Student of Computer Science at University of Southern Mississippi
  • SasiKiran Allada, Master Student of Computer Science at University of Southern Mississippi
  • Alexander Jackson, Undergraduate Student of Computer Science at University of Southern Mississippi

Courses

    Michigan Tech
  • Spring 2020: Applied AI in Health (Graduate)          

  • Fall 2019: Introduction to Health Informatics (Graduate)          

  • USM
  • Spring 2019: Computer Algorithms (Undergraduate)          
  • Spring 2019: Statistical Machine Algorithms (Graduate)

  • Fall 2018: Data Structures (Undergraduate)          
  • Fall 2018: Artificial Neural Networks (Graduate)

  • Spring 2018: Computer Algorithms (Undergraduate)          
  • Spring 2018: Data Mining (Graduate)

  • Fall 2017: Digital Image Processing (Graduate)          
  • Fall 2017: Statistical Machine Learning (Graduate)

  • Spring 2017: Data Mining (Graduate)          
  • Spring 2017: Advanced Computer Algorithms (Graduate)          

  • Fall 2016: Digital Image Processing (Graduate)          
  • Fall 2016: Distrubted Database System (Graduate)          
  • Fall 2016: Formal Methods (Graduate)          

  • Spring 2016: Advanced Algorithms (Graduate)          

  • Fall 2015: Formal Methods (Graduate)          


Publications and Patents          

See CV (here) for more details
Under review or in revision

    5.    Zhao C, Tang H, McGonigle D, He Z, Zhang C, Wang YP, Deng HW, Bober R*, Zhou W*. Automatic extraction of coronary arteries in fluoroscopy angiograms using deep learning. Submitted to Medical Physics. 2019. (under review)

    4.    Wang C, Shi J, Tang H, He Z, Liu Y, Zhao Z, Li C, Gu K, Hou X, Chen M, Zou J, Zhou L*, Garcia EV, Li D*, Zhou W*. Left Ventricular Systolic and Diastolic Dyssynchrony to Improve Cardiac Resynchronization Therapy Response in Heart Failure Patients with Dilated Cardiomyopathy. Submitted to Journal of Nuclear Cardiology. 2019. (in revision)

    3.    Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Huang ZC, Huang J, Zhang C, Zhou W,Zhang K, Yi C, Shen H, Wang YP, Xiao HM*, Deng HW*. Diagnostic Assessment of Colorectal Cancer Histopathology Images Using Weakly Supervised Deep Learning. Submitted to New England Journal of Medicine. 2019. (in revision)

    2.    Hua X, Han J, Zhao C, Tang S*, Jin C, Rashid HA, Tang H, Zhou W*, Zhao M. ECG signal classification via convolutional neural networks. Submitted to Journal of Healthcare Engineerning. 2019.

    1.    Zhu F, Li X, Tang H, He Z, Zhang C, Hung GW, Chiu PY*, Zhou W*. Machine learning for the preliminary diagnosis of senile dementia. Submitted to Computers in Biology and Medicine. 2019. (in revision)

   -------------------------

Published or accepted

    2020

        1.    Zhang F, Wang J, Shao X, Yang M, Qian Y, Yang X, Wu Z, Li S, Xin W, Shi Y, Liu B, Yu W, He Z, Zhou W*, Wang Y*. Incremental value of myocardial wall motion and thickening to perfusion alone by gated SPECT myocardial perfusion imaging for viability assessment in patients with ischemic heart failure. Journal of Nuclear Cardiology. 2020.

    2019

        14.    Zhu F, Li X, McGonigle D, Tang H, He Z, Zhang C, Hung GW, Qiu PY*, Zhou W*. Analyze Informant-based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning. IEEE Journal of Translational Engineering in Health and Medicine. 2019.

        13.    Hou X, Qian Z, Wan Y, Qiu Y, Chen X, Jiang H, Jiang Z, Wu H, Zhao Z, Zhou W, Zou J*. Feasibility and cardiac synchrony of permanent left bundle branch pacing through the interventricular septum. EP Europace. euz188. 2019.

        12.    He Z, Garcia EV, Zhou W*. Chapter 24. Nuclear imaging guiding cardiac resynchronization therapy in Nuclear Cardiology: Basic and Advanced Concepts in Clinical Practice. Springer-Nature. Book chapter. 2019. (book chapter)

        11.    Song M, Greenbaum J, Luttrell J, Zhou W, Deng HW, Zhang C. Imputation of Genome-Wide Association Study Data Using Autoencoders. MS IDeA conference. 2019. (conference abstract)

        10.    Wang C, Shi J, Zhao Z, Li C, Li D,Zhou W. Left ventricular systolic and diastolic dyssynchrony to predict cardiac resynchronization therapy response in heart failure patients with dilated cardiomyopathy. ASNC 2019. (conference abstract)

        9.    Deng Z, Zhao M, Liu Y, Zhu F, Zhou W, Li X. Texture analysis on myocardial perfusion SPECT to diagnose myocarditis. Society of Nuclear Medicine and Molecular Imaging. 2019. (conference abstract)

        8.    Zhang X, Qian Z, Tang H, Hua W, Su Y, Xu G, Liu X, Xue X, Fan J, Cai L, Zhu L, Wang Y, Hou X, Garcia EV, Zhou W*, Zou J*. A new method to recommend left-ventricular lead positions for improved CRT volumetric response and long-term prognosis. Journal of Nuclear Cardiology. 2019.

        7.    Wang J, Wang Y*, Yang M, Shao S, Tian Y, Shao X, Fan S, Zhang F, Yang W, Xin W, Tang H, Xu M, Yang L, Wang X, Zhou W. Mechanical contraction to guide CRT left-ventricular lead placement instead of electrical activation in myocardial infarction with left ventricular dysfunction: an experimental study based on non-invasive gated myocardial perfusion imaging and invasive electroanatomic mapping. Journal of Nuclear Cardiology. 2019.

        6.    Meng F, Zhang Z, Hou X, Qian Z, Wang Y, Chen Y, Wang Y, Zhou Y, Chen Z, Zhang X, Yang J, Zhang J, Guo, J, Li K, Xu G, Zhuang R, Jiang H, Zhou W, Tang S, Wei Y, Zou J*.Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retro-prospective multicenter registry in China. BMJ Open. 2019.

        5.    Xin W, Yang X, Wang J, Shao X, Zhang F, Tang H, Wang Y*, Zhou W.Gated SPECT myocardial perfusion imaging is superior to CT attenuation-correction in discriminating myocardial infarct from attenuation artifacts in men and right CAD. Nuclear Medicine Communications. 2019.

        4.    Chiu PY, Tang H, Zhang C, Hung GW*, Zhou W*. The NMD-12Q: a machine learning derived brief screening instrument to detect mild cognitive impairment and dementia. PLOS One. 2019. ( download data)

        3.    Wang T, Yang L, Tang H, He Z, Castillo R, Wang C, Li D, Higgins K, Liu T, Curran WJ, Zhou W*, Yang X*.A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: a feasibility study. Journal of Nuclear Cardiology. 2019;1-12. (IF 4.0)

        2.    McGonigle D, Zhao D, Tang H, Zhang C, He Z, Bober R, Zhou W*. Deep Learning to Extract Coronary Arteries from Fluoroscopy Angiography. Submitted to the Conference of Midsouth Computational Biology & Bioinformatics Society (MCBIOS 2019). 2019. (conference abstract)

        1.    He Z, Tang H, McGonigle D, Zhang C, Jiang Z, Zhou W*. A Deep-Learning-Based Segmentation Method for Left Ventricle on Gated SPECT Myocardial Perfusion Images. Submitted to the Conference of Midsouth Computational Biology & Bioinformatics Society (MCBIOS 2019). 2019. (conference abstract)

    2018

        10.    Hung GU*, Zhou W*, Chen J. A perfect tool for comprehensive evaluation of myocardial perfusion and function: stress PET imaging. Nuclear Medicine Communications. Journal of Nuclear Cardiology. 2018. (invited editorial)

        9.    Zhou Y, Tang H, Shi J, Li D*, Zhou W*. Development and validation of a quantification toolkit to diagnose apical hypertrophic cardiomyopathy from gated SPECT MPI. Nuclear Medicine Communications. 2018;1-6.

        8.    Wang C, Tang H, Zhu F, Jiang Z, Shi J, Zhou Y, Garcia EV, Li D*, Zhou W*. Prognostic value of left ventricular dyssynchrony from SPECT MPI in patients with dilated cardiomyopathy. Journal of Nuclear Cardiology. 2018; 1-10. (IF 4.0)

        7.    Jiang Z*, Zhou W*. Left ventricular mechanical dyssynchrony for CAD diagnosis: does it have incremental clinical values? Journal of Nuclear Cardiology. 2018. (invited editorial)

        6.    Zhang F, Yang W, Wang Y*, Tang H, Wang J, Shao X, Wang Z, Zhang X, Yang L, Wang X, Zhou W. Is there an association between hibernating myocardium and left ventricular mechanical dyssynchrony in patients with myocardial infarction? Hellenic Journal of Nuclear Medicine. 2018; 21(1):28-34.

        5.    Jiang Z, Tang H, Shi J, Wang C, Li D, Zhou W*, Shan Q*. Assessment of left ventricular dyssynchrony during myocardial stunning on gated SPECT myocardial perfusion imaging. Nuclear Medicine Communications. 2018;39(8):725731.

        4.    Yang W, Zhang F, Tang H, Shao X, Wang J, Wang X, Shao X, Xin W, Yang L, Zhou W*, Wang Y*. Summed thickening score by myocardial perfusion imaging: an independent predictor of left ventricular remodeling in patients with coronary artery disease. Journal of Nuclear Cardiology. 2018;1-12. (IF 4.0, featured by a published phone interview)

        3.    Wang T, Yang L, Tang H, Harms J, Wang C, Liu T, Curran WJ, Zhou W, Li D*, Yang X*. A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging. SPIE Medical Imaging 2019. 2018.

        2.    Tang H, Zhou H, Zhang C, Bober R, Zou J*, Zhou W*. Scale ratio ICP for the 3D registration of coronary venous anatomy with left ventricular epicardial surface to guide CRT LV lead placement. SPIE Medical Imaging 2019. 2018.

        1.    Jiang Z, Zhuo H, Zhu F, Tang H, Li D, Zhang C, Zhou W. Machine learning to diagnose CAD from SPECT MPI: a preliminary study. Submitted to ASNC Scientific Session. 2018. (Conference abstract)

    2017

        10.    Tao N, Qiu Y, Tang H, Qian Z,Wu H, Zhu R, Wang Y, Hou X, Zhou W*, Zou J*. Assessment of Left Ventricular Contraction Patterns Using Gated SPECT MPI to Improve Cardiac Resynchronization Therapy Response. Journal of Nuclear Cardiology 2017; 1-10.(IF 4.0)

        9.    Cheng CM, Su CS, Chou P, Liao YC, Wang CY, Zhang JR, Hsieh YC, Wu TJ, Chen YW, Weng CJ, Chang KH, Zhou W, Hung GU*, Huang JL*, Nakajima K. Prediction of Both Electrical and Mechanical Reverse Remodeling by Acute ECG Changes after Cardiac Resynchronization Therapy. Circulation Journal 2017;1-7.(IF 4.1)

        8.    Wang C, Tang S, Tang H, Gao R,Zhou W*. A new method to automatically identify left-ventricular contours from the gated SPECT myocardial perfusion imaging. Fully 3D 2017.

        7.    Tang S, Huang JL, Hung GU, Tsai SC, Wang C, Li D, Zhou W*. Dynamic programming-based automatic myocardial quantification from gated SPECT myocardial perfusion imaging. Fully 3D 2017.

        6.    Zhou W, Tao N, Hou X, Wang Y, Folks RD, Cooke DC, Moncayo VM, Garcia EV*, Zou J*. Development and validation of an automatic method to detect the latest contracting viable left ventricular segments to assist guide CRT therapy from gated SPECT myocardial perfusion imaging. Journal of Nuclear Cardiology 2017; 1-10.(IF 4.0)

        5.    Zhou W*, Hung GU*. Left-ventricular mechanical dyssynchrony in the prognosis of dilated cardiomyopathy: which parameter is more useful? Journal of Nuclear Cardiology 2017;1-4. (invited editorial)(IF 4.0)

        4.    Tang H, Tang S,Zhou W*. A Review of Image-Guided Approaches for Cardiac Resynchronization Therapy. Arrhythmia & Electrophysiology Review 2017;6(2):69-74.

        3.    Tang H, Tao N, Zhang C, Zou J, Zhou W. Identifying the predictive factors of cardiac resynchronization therapy response: a comparative study using machine learning and logistic regression analysis. AHA Scientific Session 2017. (conference abstract)

        2.    Li D, Wang C, Tang H, Hung GU, Zhou W. Prognostic Value of LV Diastolic Dyssynchrony from SPECT MPI in Patients with DCM. ASNC 2017. (conference abstract)

        1.    Tao N, Tang H, Qiu Y, Zhou W, Qian Z, Wang Y, Hou X, Zou J. Assessment of left ventricular contraction patters using gated SPECT MPI to improve cardiac resynchronization therapy response. ACC 2017. (conference abstract)

    2016

        5.    Zhou W, Jiang Z, Chen J, Li D*, Garcia EV*. Development and validation of a phase analysis tool to measure interventricular mechanical dyssynchrony from gated SPECT MPI. Journal of Nuclear Cardiology. 2016. (IF 4.0)

        4.    Zhou W, Garcia EV*. Nuclear image-guided approaches for CRT. Current Cardiology Reports 2016; 18(1); 1-11. (IF 2.0)

        3.    Allada SK, Kalluru RR, Rishel T, Zhou W. System optimization: image reconstruction and imaging configuration optimization with a multi-beam parallel digital breast tomosynthesis system. Book chapter in Digital tomosynthesis: benefits, clinical uses and limitations, Nova Publishers. (book chapter)

        2.    Zhou Y, Xu Y, Wang C, Jiang Z, Tang L, Li D, Hung GU,Zhou W. Development and validation of a phase analysis tool to measure right-ventricular mechanical dyssynchrony from gated FDG PET. ASNC 2016.(Conference abstract)

        1.    Li D, Wang C, Danda C, Jackson A, Zhou Y, Chen J, Zhou W. Interventricular mechanical dyssynchrony as assessed by phase analysis of gated SPECT MPI in patients with Wolff-Parkinson-White syndrome. SNMMI 2016. (Conference abstract)

    2015

        6.    Wang L1, Zhou W1,*, Liang Y, Yang Y, Garcia EV, Chen J, Fang W*. Right ventricular dyssynchrony in pulmonary hypertension: phase analysis using FDG-PET imaging. J of Nuclear Cardiology 2015;12(1):69-78. (co-first author and co-corresponding author)(IF 4.0)

        5.    Zhou W, Lu J, Zhou O, Chen Y. Ray-tracing-based reconstruction algorithms for digital breast tomosynthesis. J. Electron. Imaging 2015; 24(2) 23-28.

        4.    Zhou W, Malalla N, Zhang Z, Chen Y. Computer simulation and optimization of breast tomosynthesis parallel imaging configuration and reconstruction. Int. J. Computational Biology and Drug Design 2015.

        3.    Zhou W, Wang L, Liang Y, Chen J, Fang W, Garcia EV. Development and validation of a phase analysis tool to measure right-ventricular mechanical dyssynchrony from gated FDG PET. ASNC 2015.(Conference abstract)

        2.    Zhou W, Jiang Z, Li D, Chen J, Garcia EV. Development and validation of a phase analysis tool to measure interventricular mechanical dyssynchrony from gated SPECT MPI. ASNC 2015.(Conference abstract)

        1.    Zhou W, Zhou Y, Folks RD, Cooke DC, Lin X, Chen J, Garcia EV. Inter-observer reproducibility of identifying the optimal CRT left ventricular lead position from SPECT MPI. ASNC 2015.(Conference abstract)

    2014

        6.    Zhou W, Hou X, Piccinelli M, Tang X, Tang L, Cao K, Garcia E, Zou J, Chen J. 3D fusion of LV venous anatomy on fluoroscopy venograms with epicardial surface on SPECT myocardial perfusion images for guiding CRT LV lead placement. JACC: Cardiovascular Imaging 2014; 7(12): 1239-1248 (highlighted on the front cover).(IF 10.2)

        5.    Zhou Y, Zhou W, Folks RD, Manatunga DN, Jacobson AF, Bax JJ, Garcia EV, Chen J. I-123 mIBG and Tc-99m myocardial SPECT imaging to predict inducibility of ventricular arrhythmia on electrophysiology testing: A retrospective analysis. J of Nuclear Cardiology 2014; 21(5):913-920. (IF 4.0)

        4.    Zhou W, Lu J, Zhou O, Chen Y. Evaluation of back-projection methods for breast tomosynthesis image reconstruction. Journal of Digital Imaging 2014; 28(3):338-345.

        3.    Chen Y, Zhou W, Dobbins JT III. Fourier-domain methods for optimization of tomosynthesis (NEQ). Book chapter, in Tomosynthesis Imaging, ed. I Reiser and S Glick, Taylor & Francis, 2014. (Book chapter)

        2.    Zhou W, Garcia E, Chen J, et al. 3D fusion of LV venous anatomyon fluoroscopy venograms with epicardial surfaces on SPECT myocardial perfusion images for guiding CRT LV lead placement. ACC 2014.(Conference abstract)

        1.    Zhou W, Fang W, He Z, Chen J. Development of a phase analysis tool to measure right-ventricular and inter-ventricular mechanical dyssynchrony from myocardial images. ASNC 2014.(Conference abstract)

    2013

        7.    Zhou Y, Zhou W, Folks RD, Manatunga DN, Jacobson AF, Bax JJ, Garcia EV, Chen J*. I-123 mIBG and Tc-99m cardiac SPECT imaging to predict inducibility of ventricular arrhythmia on electrophysiology testing. ASNC 2013.(Conference abstract)

        6.    Zhou W, Chen J*. I-123 MIBG imaging for predicting ventricular arrhythmia in heart failure patients. J Biomed Res 2013; 27:6:460-466.

        5.    Chen J, Zhou W. 123I-MIBG SPECT. Book chapter, in SPECT Technology, Procedures and Applications, ed. H Ahmadzadehfar and E Habibi. 2013. ISBN: 978-1-62808-349-1. (Book chapter)

        4.    Piccinelli M, Zhou W, Chen J, Cooke DC, Oshinski J, Suever J, Quyyumi AA, Garcia EV. Automated image registration of LGE-MR imaging and Tc-99m SPECT myocardial perfusion for validation of scar quantification. ASNC 2013.(Conference abstract)

        3.    Chen J, Zhou W, Suever J, Oshinski J, Galt JR, Garcia EV. Development of a novel quantification tool to measure transmural scar border zone by resting Tc-99m SPECT myocardial perfusion imaging. SNM 2013(Conference abstract)

        2.    Zhou W, Cong L, Fang J, Qian X, Lee YZ, Lu J, Zhou O, Chen Y*. Noise power spectrum and modulation transfer function analysis of breast tomosynthesis imaging. Proc. SPIE 8868, Medical Imaging 2013: Physics of Medical Imaging 86684N.

        1.    Rayford CE II, Zhou W, Chen Y*. Breast tomosynthesis imaging configuration analysis. International Journal of Computational Biology and Drug Design 2013; 6:3:255-62.

    before 2013

        11.    Cong L, Zhou W, Chen Y*. Effects of slice thickness filter in filtered backprojection reconstruction with the parallel breast tomosynthesis imaging configuration. Proc. IEEE-International Symposium on Intelligent Biological Medicine. 2011.

        10.    Balla A, Zhou W, Chen Y. Impulse response characterization of breast tomosynthesis reconstruction with parallel imaging configurations. Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76225K.

        9.    Zhou W, Qian X, Lu J, Zhou O, Chen Y. Multi-beam X-ray source breast tomosynthesis reconstruction with different algorithms. Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76220H.

        8.    Chen Y*, Balla A, Rayford CE II, Zhou W, Fang J, Cong L. Digital tomosynthesis parallel imaging computational analysis with shift and add and back projection reconstruction algorithms. International Journal of Computational Biology and Drug Design 2010; 3(4): 287-296.

        7.    Chen Y*, Zhou W, Yang G, Qian X, Lu J, Zhou O. Breast tomosynthesis reconstruction with a multi-beam X-ray source. Proc SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725859. doi:10.1117/12.811659.

        6.    Chen Y*, Zhou W, Qian X, Lu J, Zhou O. Breast tomosynthesis reconstruction and optimization with a multi-beam x-ray source: preliminary results. Proceedings of Tomosynthesis Imaging Symposium 2009: Frontiers in Research and Clinical Applications.

        5.    Zhou W, Balla A, Chen Y. Tomosynthesis reconstruction using an accelerated expectation maximization algorithm with novel data structure based on sparse matrix ray-tracing method. International Journal of Functional Informatics and Personalized Medicine 2008; 1:4: 355-365.

        4.    Zhou W*, Huang J. A fast multi-level algorithm for drawing large undirected graphs. Proc. ICICSE 2008;110-117.

        3.    Zhou W*, Huang J. LGES: A large graph embedding system. Proc. WKDD 2008; 260-263.

        2.    Zhou W*, Huang J. A fast three-dimensional multilevel algorithm for drawing large general graphs. Proc. ICICA 2007; 856-859.

        1.    Zhou W*, Huang J, Duan Y. A genetic algorithm for drawing directed acyclic graphs. Journal of Information and Computational Science 2007; 4:4: 1119-1125.

        Patents and Invention Disclosures

            1.    Zhou W, Li D. A new method to diagnose apical hypertrophic cardiomyopathy from gated single-photon emission computed tomography (SPECT). Invention disclosure. University of Southern Mississippi. 2016.

            2.    Zhou W, Li D. A new method to measure right-ventricular and interventricular mechanical dyssynchrony from gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). Invention disclosure. University of Southern Mississippi. 2016.

            3.    Chen J, Zhou W. Integration of fluoroscopy venogram and myocardial perfusion SPECT image with left-ventricular contraction sequence and scar distribution. Invention Disclosure. Emory University. 2014.

            4.    Ehsan DM, Joerg S, Bharat R, Zhou W. Estimating position of an organ. US 61/891,521, international patent publication number: WO2015055485 A1. Philips.

            5.    Ehsan DM, Joerg S, Bharat R, Zhou W. System and method for lung motion prediction using a displacement driven finite element modeling scheme. Invention Disclosure. 2012. Philips.

            6.    Vignon F, Robert JL, Zhou W, Raduescu E, Gijsbers G. Multi-view real-time 3D transthoracic echocardiography for interventional guidance: device and methods. Invention Disclosure. 2011. Philips.

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        Last updated 11/25/2019