Xiaofu
He, Ph.D. Assistant
Professor Columbia
University 1051
Riverside Drive, Unit43 New
York, NY 10032 Tel.
646-774-5875 Email:
xh2170@cumc.columbia.edu
EXPERTISE
² Brain Imaging including DTI
and fMRI
² Decoded neurofeedback
(DecNef)
² Real-time fMRI/EEG
neurofeedback
² Image Processing and
Computer vision
² Machine learning and Computational
Modeling
² Pattern Recognition and Biometrics
² Software Engineering
EDUCATION / TRAINING
2014 Postdoctoral
training Columbia
University
2011 Postdoctoral
training Georgia Health Sciences
University
2007 Ph.D.
in Pattern Recognition and Intelligent Systems Shanghai Jiao
Tong University
PROFESSIONAL EXPERIENCE
2018 – Present Faculty member, Data Science
Institute, Columbia University, New York, NY
2014 – Present Assistant Professor, Department of
Psychiatry, Columbia University, New York, NY
2014 – Present Research Scientist, Research
Foundation for Mental Hygiene, Inc., New York State Psychiatric Institute, New
York, NY
2011 – 2014 Postdoctoral Research
Scientist, Brain Imaging Lab, Department of Psychiatry, Columbia University,
New York, NY
2009 – 2011 Postdoctoral
Research Fellow, Brain & Behavior Discovery Institute, Georgia Health
Sciences University, Augusta, GA
2007 – 2009 Assistant
Professor, Department of Computer Science and Technology, East China Normal
University, Shanghai, China
SELECTED HONORS / AWARDS
2015 Columbia
Irving Institute Imaging Pilot Award, New York, NY
2014 New
York State Psychiatry Institute MRI Pilot Award, New York, NY
2013 NARSAD
Young Investigator Award, New York, NY
2010 Travel
Award for Oral Presentation, Joint South East Nerve Net and Georgia/South
Carolina, Neuroscience Consortium Conference, Atlanta, GA
MEMBERSHIP
2019 Program
Committee, New York Scientific Data Summit
2018 – Committee
member, Health Analytics, Data Science Institute, Columbia University
2018 – Member,
Computing Systems for Data-Driven Science, Data Science Institute, Columbia
University
2017 – Member,
Foundations of Data Science, Data Science Institute, Columbia University
2017 – Program
Committee, Real-time Functional Imaging and Neurofeedback (rtFIN)
2013 – Senior
member, the Institute of Electrical and Electronics Engineers (IEEE)
2012 – Member,
the Organization for Human Brain Mapping (OHBM)
SELECTED
PUBLICATIONS/PRESENTATIONS
2023
He X, Moreno D, Hou Z, Cheslack-Postava K, Jiang Y, Li T, Kishon R, Amsel
L, Musa G, Wang Z, Hoven C (2023), Connectivity based Real-Time fMRI
Neurofeedback Training in Youth with a History of Major Depressive Disorder,
https://arxiv.org/abs/2301.11846
Shatto C, Thorp J, Brown A, Friedman J, Shi
J, Gu Z, He X*, Spagna A*,
Neuro-DBER: A flexible neuroscience- and technology-driven framework for the
Scholarship of Teaching & Learning, Cognitive Neuroscience Society Annual
Meeting 2023, San Francisco, March 25-28, 2023.
2022
Tchibozo M, Kim D, Wang Z, He X (2022), Emotional Brain State Classification on fMRI Data
Using Deep Residual and Convolutional Networks, https://arxiv.org/abs/2210.17015
Hansen M, Simon K, Strack J, He X, Noble K, Merz E (2022), Socioeconomic Disparities in Sleep Duration
are Associated with Cortical Thickness in Children, Brain and Behavior. 2022
Dec 27;e2859. doi: 10.1002/brb3.2859
Wang Q, Loh JM, He X, Wang Y (2022), A latent state space model for estimating
brain dynamics from electroencephalogram (EEG) data. Biometrics. https://doi.org/10.1111/biom.13742.
Wang Z, Rodriguez Moreno DV, Cycowicz YM, Amsel
LV, Cheslack-Postava K, He X, Ryan
M, Geronazzo-Alman L, Musa GJ, Bisaga A, Hoven CW (2022). Shapes of Subcortical
Structures in Adolescents with and Without Familial History of Substance Use
Disorder. Human Brain Mapping, 43(9): 2759-2770. doi: 10.1002/hbm.25804
Shi J, He K, He S, Li J, Li M, Brown, Spagna A, He X (2022), A Decoded EEG
Neurofeedback Platform Using Muse2, Real-Time Functional Imaging and
Neurofeedback meeting (rtFIN 2022), Oct 17-21, 2022, New Haven, CT, USA (poster
and oral presentation)
Zheng X, Ravid O, Kim Y, Zhu X, He X, A Denoising Variational Autoencoder for the diagnosis of
Autism based on Resting-state fMRI, Data Science Day poster session, Columbia
University, April 6, 2022, USA.
Kim Y, Ravid O, Neria Y, He X, Zhu X, A Denoising Variational Autoencoder for identifying
PTSD biotypes, Data Science Day, Columbia University, April 6, 2022, USA.
Spagna A, He X,
Imaging the brains of students studying brain imaging: When Neuroscience Meets
the class, Celebration of Teaching and Learning Symposium, Columbia University,
March 29, 2022 USA.
Shatto C, Gu Z, Hui X, Rosario I, Brown A, He X, Spagna A, Who gets an A+?
Discipline Based Education Research meets Neuroscience in the Classroom, the
29th Annual Meeting of the Cognitive Neuroscience Society on April 23-26, 2022
in San Francisco, USA.
2021
He X, Rodriguez Moreno D,
Cycowicz YM, Wang Z, Tang H, Amsel L, Cheslack-Postava K, Ryan M,
Geronazzo-Alman L, George M, Bisaga A & Hoven CW (2021). White Matter
Integrity and Functional Connectivity in Adolescents with a Parental History of
Substance Use Disorder. Neuroimage: Reports. https://doi.org/10.1016/j.ynirp.2021.100037
He X, Stefan M, Pagliaccio D, Khamash L, Fontaine M, Marsh R (2021). A
Quality Control Pipeline for Probabilistic Reconstruction of White-matter
Pathways. Journal of Neuroscience Methods.
https://doi.org/10.1016/j.jneumeth.2021.109099.
He X, Pueraro E, Kim Y, Garcia C.M, Maas B, Choi J, Egglefield D.A, Schiff
S, Sneed J.R, Brown P.J, Brickman A.M, Roose S.P, Rutherford B.R (2021).
Association of White Matter Integrity with Executive Function and
Antidepressant Treatment Outcome in Patients with Late-Life Depression, The American Journal of Geriatric Psychiatry,
doi: 10.1016/j.jagp.2021.01.004
Morenob DR,
Cycowicz Yael, Figner B, Wang Z, He
X, Geronazzo-Alman L, Sun X, Cheslack-Postavaa K , Bisaga A, Hoven CW,
Amsel L (2021). Delay discounting and neurocognitive correlates among inner
city adolescents with and without family history of substance use disorder, Developmental Cognitive Neuroscience,
48:100942.
Ramphal B, Pagliaccio D, Thomas V. L, He X, Margolis E. A (2021),
Contributions of Cerebellar White Matter Microstructure to Social Difficulty in
Nonverbal Learning Disability. The
Cerebellum, https://doi.org/10.1007/s12311-021-01265-4.
He X, Wengler K, Mihali A, Horga G, Decoding auditory verbal hallucinations
based on patterns of neural activity in the temporal cortex in schizophrenia,
the 60th Annual Meeting of the American College of Neuropsychopharmacology,
December 5-8,2021, Puerto Rico
Tchibozo M, Wang Z, Kim D, He X, Emotional Brain State Classification on fMRI data using 3D
Residual Neural Networks, DSI Health
Analytics Center poster session, 2021
Li M, Sun X, He
X, EEGTransformer: Deep Learning based EEG to fMRI Transformation, Data Science Day 2021 Poster Session.
2020
Rutherford BR, Choi CJ, Choi J, Mass B, He X, O'Boyle K., Sneed J.R., Brown
P.J., Brickman A.M., Wall M.M., Roose S.P.(2020), Slowed processing speed
disrupts expectancy-based placebo effects in late life depression. Am J Geriatr Psychiatry, doi:https://doi.org/10.1016/j.jagp.2020.11.001.
Pagliaccio D, Cha J, He X, Cyr M, Yanes-Lukin P, Goldberg P, Fontaine M, Rynn M, Marsh R
(2020). Structural neural markers of response to cognitive behavioral therapy
in pediatric obsessive-compulsive disorder, Journal
of Child Psychology and Psychiatry 61(12):1299-1308.
Merz E, He X,
Myers B, Noble K. (2020). Socioeconomic Disadvantage, Chronic Stress, and
Hippocampal Development in Children. Neuroscience
Insights (15): 1-44, https://doi.org/10.1177/2633105520931098.
Lichtin R, Merz E, He X, Desai P, Simon K, Melvin S, Maskus E, Noble K (2020),
Material Hardship, Prefrontal Cortex-Amygdala Structure, and Internalizing
Symptoms in Children, Developmental
Psychobiology (63):364-377. https://doi.org/10.1002/dev.22020.
Merz E, He X,
Simon K, Noble K, Parental Stress and Family Routines are Associated with
Cerebral Blood Flow in Children, Poster, SOBP 2020
Simon K.R, Merz E.C, He X, Noble K.G Associations between Environmental Noise Exposure
and Resting-State Functional Connectivity in Children. International Society for Developmental Psychobiology:Virtual
Conference September 2020
Simon K.R, Merz E.C, He X, & Noble K.G. Environmental Noise, Language Skills, and
Language-Related Brain Structure in Childhood. Flux Society: Virtual Conference. September 2020
2019
Feng Y, Chuang E, Cycowicz Y, He X (2019), Motor Imagery Classification using Cascade
ResNet-LSTM, The 25th Annual Meeting of
the Organization for Human Brain Mapping (OHBM), Abstract.
He X, Moreno D, Li T, Tang H,
Cycowicz Y, Wang Z, Amsel L, Musa J, Cheslack-Postava K, Bisaga A,
Geronazzo-Alman L, Bresnahan M, Hoven (2019), Increased Functional Connectivity
between DMN and FPN in Adolescents with Familial History of SUD, The 25th Annual Meeting of the Organization
for Human Brain Mapping (OHBM), Abstract.
Choi J, He X
(2019) , Classification of Autism based on Resting-state fMRI using
Convolutional Neural Networks, The 25th
Annual Meeting of the Organization for Human Brain Mapping (OHBM), Abstract.
Merz E.C., Maskus E.A., Melvin S., He X., & Noble K.G. Socioeconomic
disparities in language input are associated with childrenfs language-related
brain structure and reading skills. Child
Development, 28 March 2019.
Merz E.C., Maskus E.A., Melvin S., He X., & Noble K.G. Parental
punitive discipline and childrenfs depressive symptoms: Associations with
striatal volume. Developmental
Psychobiology, 61(6):953-961.
Domakonda M, He X, Lee S, Cyr M, Marsh R (2019), Increased functional
Connectivity between Ventral Attention and Default Mode Networks in Adolescents
with Bulimia Nervosa, Journal of the
American Academy of Child and Adolescent Psychiatry, 58(2):232-241.
2018
He X, Steinberg E, Stefan M, Fontaine, Simpson HB, Marsh R. (2018), Altered
Frontal Inter-hemispheric and Fronto-limbic Structural Connectivity in
Unmedicated Adults with Obsessive-Compulsive Disorder, Human Brain Mapping, DOI: 10.1002/hbm.23883.
Merz EC, He X,
Noble KG (2018), Anxiety, depression, impulsivity, and brain structure in
children and adolescents, NeuroImage:
Clinical 20: 243–251.
Choi J, He
X (2018) , Classification of Autism Spectrum Disorder based on Brain Image
using Convolutional Neural Networks, ITU/WHO
workshop and Focus Group meeting on Artificial Intelligence for Health, Nov
14-16, New York, NY
Domakonda M, He X, Lee S, Cyr M, Marsh R (2018), Increased Functional
Connectivity Between Ventral Attention and Default Mode Networks in Adolescents
with Bulimia Nervosa, AACAPfs 65th Annual
Meeting, October 22–27, Seattle, WA, Oral presentation.
Lee YC, Chung EY, He X (2018), Brain State Classification on Functional Near
Infrared Spectroscopy using Convolutional Neural Networks, Annual Data Science Town Hall Meeting, September 28–27, Columbia
University, NYC, Poster.
He X, Huang S, Liu Z, Moreno DR, Amsel L, Musa1 G, Hoven C
(2018), Real-time Brain States Classification using 3D Convolutional Neural
Networks, The 24th Annual Meeting of the
Organization for Human Brain Mapping (OHBM), Jun 17-21, Singapore.
Abstract.
Merz EC, Maskus EA, He X, Meyer J, Noble KG (2018). The joint effects of socioeconomic
disadvantage and parental depression on childrenfs stress physiology and brain
development. In M. Stallen and W. Molenmaker (Chairs), How neuroscience can
contribute to solving societal problems. Symposium
at the Association for Psychological Science (APS) Annual Convention, San
Francisco, California, May.
Desai PM, Merz EC,
Maskus EA, He X, Noble KG (2018).
Socioeconomic disadvantage, prefrontal cortical structure, and executive
function in school-aged children. Poster presented at the Cognitive
Neuroscience Society Annual Meeting, Boston, Massachusetts, March.
2017
He X, Huang SK, Moreno DR, Kishon R, Amsel L, Musa G,
Noriega A, Wang Z, Hoven C (2017), Connectivity-based Real-time fMRI
Neurofeedback in Youth with a History of Major Depression, the Real-time
Functional Imaging and Neurofeedback, Nov. 29-Dec.1, Nara, Japan
Merz EC, Maskus EA,
He X, Meyer J, Melvin S, Noble KG
(2017). Family stress, hair cortisol, and childrenfs amygdala and hippocampal
volumes. Talk given at the International Society for Developmental
Psychobiology (ISDP) meeting, Washington, D.C., November.
Maskus EA, Merz
EC, Desai P, He X, Noble KG (2017).
Exploring links among subjective social status, prefrontal cortex structure,
and cognitive skills in children. Poster presented at the Cognitive
Development Society (CDS) Biennial Conference, Portland, Oregon, October
Noble
KG, Piccolo L, Merz EC, Brito N, He, X.
(2017). Socioeconomic inequality modifies links among cortical thickness, age,
and cognition. In J. Booth (Chair), The effect of socioeconomic inequality on
the brain depends on age, cognitive, and environmental factors. Paper
symposium at the SRCD Biennial Meeting, Austin, Texas, April
Domakonda M, He X, Marsh , (2017), A Resting State
Functional Magnetic Resonance Imaging (fMRI) Study of Attention Network
Dysfunction in Adolescents With Bulimia Nervosa, Journal of the American
Academy of Child & Adolescent Psychiatry, October 2017, Volume 56,
Issue 10, Supplement, Page S160.
He X, Moreno DR, Liu Z, Amsel
L, Musa G, Wang Z, Hoven C (2017), Amygdala response may distinguish
participants with history of major depressive disorder, The 23nd Annual
Meeting of the Organization for Human Brain Mapping (OHBM), June
25-29,Vancouver, Canada.
He X, Stefan M, Fontaine M, Cha J, Simpson HB, Marsh R
(2017), A DTI Quality control pipeline for running TRACULA, The 23nd Annual
Meeting of the Organization for Human Brain Mapping (OHBM), June
25-29,Vancouver, Canada.
2016
Piccolo, L.R.,
Merz, E.C., He, X., Sowell, E.R.,
Noble, K.G. (2016). Age-related changes in cortical thickness vary by
socioeconomic status. PLoS One
11(9):e0162511.
He, X., Stefan, M., Terranova, K., Steinglass, J., Marsh, R.
(2016), Altered White Matter Microstructure in Adolescents and Adults with
Bulimia Nervosa, Neuropsychopharmacology
(2016) 1-8. doi: 10.1038/npp.2015.354.
He X, Moreno DR, Geronazzo L,
Amsel L, Hoven C, Wang Z (2016), Region of Interests in Local EPI Space for
Real-time fMRI. The 22nd Annual Meeting of the Organization for Human Brain
Mapping (OHBM), June 26-30, Geneva, Switzerland.
He X, Geronazzo L,
Amsel L, Moreno DR, Wang Z,
Fan B, Musa G, Eisenberg R, Doan S, Wicks J, Bresnahan M, Hoven C (2016), White
Matter Abnormalities in Individuals at High Risk of Depression. The 22nd
Annual Meeting of the Organization for Human Brain Mapping (OHBM), June
26-30, Geneva, Switzerland.
Rowny S, He X, Yang R, Zhou S, Prudic J, Javitt
D, Hoven C (2016), Effects of ECT
and MST on White Matter Integrity in Patients with Major Depression. The
22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM),
June 26-30, Geneva, Switzerland.
He X, Stefan M, Fontaine M, Steinberg E, Simpson HB,
Marsh R (2016). Tractography in Unmedicated Adults with
Obsessive-Compulsive Disorder, 2016 Annual Meeting-Society of Biological
Psychiatry (SOBP), May 12-14, Atlanta, Georgia, USA.
He X, Stefan M, Fontaine M, Terranova K, Marsh R
(2016), Using Tractography to Assess Structural Connectivity in
Adolescents with Bulimia Nervosa, 2016 Annual Meeting-Society of Biological
Psychiatry (SOBP), May 12-14, Atlanta, Georgia, USA.
2015
Qiao, J., Wang,
Z., Geronazzo-Alman, L., Amsel, L., Duarte, C., Lee, S., Musa, G., Long, J., He, X., Doan. T, Hirsch, J., Hoven, C.
(2015). Brain Activity under Emotional Conflicts Classifies Adolescents with
and without a Familial History of Substance Use Disorders, Frontiers in Human Neuroscience, 9:219. doi: 10.3389/fnhum.2015.00219
He X, Simpson HB, Marsh R (2015), White Matter
Integrity in Unmedicated Adults with Obsessive-Compulsive Disorder, 2015
Annual Meeting-Society of Biological Psychiatry (SOBP), May 14-16, Toronto,
Canada. Abstract.
He X, Stefan M, Terranova K, Steinglass J, Walsh T, Marsh R (2015), Analyses
of White Matter Integrity in Adolescents and Adults with Bulimia Nervosa,
2015 Annual Meeting-Society of Biological Psychiatry (SOBP 2015), May
14-16, Toronto, Canada. Abstract.
He X, Geronazzo L.A, Lee S,
Amsel L, Wang Z, Musa G.J, Duarte C.S, Doan T, Hirsh J, Hirsch, Hoven C (2015),
White matter abnormalities in Adolescents with a Familial History of Substance
Use Disorders. The 21st Annual Meeting of the Organization for Human Brain
Mapping (OHBM), Jun.14-18, Hawaii, USA. Abstract.
He X, Liu F, Amsel L, Kangarlu
A, Gerber A, Wang Z, Musa G, Geronazzo L, Duarte C, Duan Y, Doan T, Hirsch J,
Hoven C (2015), A New Quality Control Pipeline for Diffusion Tensor Imaging. The
21st Annual Meeting of the Organization for Human Brain Mapping (OHBM),
Jun.14-18, Hawaii, USA. Abstract
2014
He, X., Liu, W., Li, X., Li, Q., Liu, F., Rauh, V.A., Yin D.,
Bansal, R., Duan, Y., Kangarlu, A., Peterson, B., Xu, D. (2014). Automated
Assessment of Diffusion Tensor Imaging Data Quality Using the Color Cast of
Color-Encoded Fractional Anisotropy Images. Magnetic
Resonance Imaging, 32(5): 446-456.
He X, Liu F, Amsel L, Geronazzo L, Wang Z, Musa G,
Duarte C, Kangarlu A, Gerber A, Duan Y, Qiao J, Doan T, Hirsch J, Hoven C
(2014), Quality Criteria for DTI Data by Assessing Color-Encoded Fractional
Anisotropy Images. The 20th Annual Meeting of the Organization for Human
Brain Mapping (OHBM), Jun. 8-12, Hamburg, Germany. Abstract.
2013
Li, Q., Xu, D., He,
X., Wang, Y., Chen, Z., Liu, H., Xu Q., Guo, F. (2013). AOTF based Molecular Hyperspectral Imaging System
and Its Applications on Nerve Morphometry, Applied
Optics, 52(17):3891-3901.
Li Q, He X, Wang Y, Liu H, Xu D, Guo F (2013), Review of spectral imaging technology in
biomedical engineering: Achievements and challenges, Journal of Biomedical Optics, 18: 100901-1-100901-28. PMID:
24114019
Hu, S., Xu D., Peterson B.S.,
Wang Q.D, He, X., Hu, J., Xu, X., Wei N., Long, D., Huang, M., Zhou, W.,
Xu, W., Zhang, M., Xu, Y. (2013). Association
of Cerebral Networks in Resting State with Sexual Preference of Homosexual Men,
PLoS ONE, 8(3), e59426, Mar. 2013.
He X, Yan X, Hao X, Bansal R,
Wang Z, Peterson B, Xu D (2013), A New Volume Preserved Warping Method for
Measuring Changes of Local Brain Volume, the 19th Annual Meeting of the
Organization for Human Brain Mapping (OHBM), Jun.16-20, Seattle, WA, USA.
Abstract.
2012
Li, Q., Chen,Z., He,X.,
Wang,Y., Liu, H., Xu, Q. (2012). Automatic
identification and quantitative morphometry of unstained spinal nerve using
molecular hyperspectral imaging technology, Neurochemistry,
61(8):1375-84.
Parikh P, Wen Y, He X, Xu D, Peterson B, Delapaz L,
Claassen J (2012), Feasibility of Advanced MR Imaging and Imaging Phenotype of
Ictal-Interictal EEG Patterns in Critically III Patients with Nonstructural,
Severe Brain Injury, American Society of Neuroradiology (ASNR) 50th Annual
Meeting & The Foundation of the ASNR Symposium, New York, NY, USA.
Abstract.
Liu W, Liu X, He X, Zhou Z, Wen Y, Zhou Y, Peterson
BS, Xu D (2012), Spatial normalization of diffusion tensor images with
voxel-wise reconstruction of the diffusion gradient direction, 2nd
International Workshop on Multimodal Brain Image Analysis (MBIA) in conjunction
with MICCAI (pp. 134-146).
2011
He, X., Yang, Z., Tsien J. (2011). A Hierarchical
Probabilistic Model for Rapid Object Categorization in Natural Scenes, PLoS One, 6(5):1-15.
2010
He X, Yang Z, Tsien J (2010),
Object recognition based on hierarchically organized structures of natural
objects, Journal of Vision, 10(7):989,2010, the 10th Annual Meeting of
Vision Sciences Society (VSS2010), Journal of Vision, 10(7):989, Naples,
Florida, USA, May. Poster.
He X, Yang Z, Tsien J (2010), Is categorizing objects
in Natural scenes achievable? Frontiers in Neuroscience 2010, Joint South
East Nerve Net (SENN) and Georgia/South Carolina Neuroscience Consortium
Conference (GASCNC), Atlanta, USA, Mar. Travel award. Oral presentation.
He X, Tsien J, Yang Z (2010),
Object recognition based on hierarchically organized structures of natural
objects. Journal of Vision; 10: 989. http://dx.doi.org/10.1167/10.7.789. Abstract
2009
Shen D, He X, Lu L (2009), A cattle iris segmentation method based on least
square principle. Journal of Image and
Graphics. 14: 2132-2136. (Published in Chinese with English abstract)
He X, Lu Y, Shi P (2009), A new
fake iris detection method, Advances in Biometrics - 3rd International
Conference on Biometrics, (pp. 1139-1146), Alghero, Italy, June.
2008
He, X., Yan, J., Chen G., Shi, P. (2008). Contactless
auto-feedback iris capture design, IEEE
Transactions on Instrumentation and Measurement, 57(7):1369-1375, 2008.
An S, He X, Shi P (2008), Method for fake iris detection based on wavelet
packet decomposition. Measurement &
Control Technology; 27: 9-11. (Published in Chinese with English abstract)
He X, Shi P (2008), Extraction of Complex Wavelet
Features for Iris Recognition, 19th International Conference on Pattern
Recognition (ICPR2008), Florida, USA, Dec.
He X, Lu Y, Shi P (2008), A fake iris detection method
based on FFT and quality assessment, Chinese Conference on Pattern
Recognition, (pp. 316-319), Beijing China, Oct.
2007
He, X., Shi, P. (2007). A New Segmentation Approach for Iris
Recognition Based on Hand-held Capture Device, Pattern Recognition, 40(4):1326-1333.
Wan J, He X, Shi P (2007), An Iris Image
Quality Assessment Method Based on Laplacian of Gaussian Operation, IAPR
Conference on Machine Vision Applications 2007 (MVA 2007) (pp.248-251).
He X, An S, Shi P (2007), Statistical texture analysis-based
approach for fake iris detection using support vector machines, Advances in
Biometrics - International Conference on Biometrics (pp. 540-546).
2006
He, X., Shi, P. (2006), An Efficient Iris Recognition
System, Journal of Computational
Information Systems, 2(4), 1269-1275.
He X, Shi P (2006), A novel iris segmentation method
for hand-held capture device, Advances in Biometrics - International
Conference on Biometrics, (pp. 479-485)
2005
He X, Shi P
(2005), Enhancement method for low quality fingerprint images. Journal of Data Acquisition & Processing;
20: 440-443.
He X, Shi P (2005), An efficient iris segmentation
method for recognition, Pattern Recognition and Image Analysis - 3rd
International Conference on Advances in Pattern Recognition, (pp. 120-126)
He X, Shi P: An Eyelid
Estimation Method for Iris Segmentation, Regional Inter-University
Postgraduate Electrical and Electronic Engineering Conference (RIUPEEEC 2005),
Hong Kong, China, Jul. Oral presentation