Publishing paper is like updating status in Facebook, citations are the 'likes'.

PhD Tips

Even a nature publication cannot get you a sexy girl-friend.

PhD Tips

An active social life and a good PhD hold an inverse square relationship.

PhD Tips

Conferences are less about convincing people; more about confusing people.

PhD Tips

Copy from one, it's plagiarism; copy from many, it's research.

PhD Tips

About

I'm a fourth year PhD student with the Biomedical Multimedia Information Technology (BMIT) research group, the University of Sydney. I am supervised by Prof. Dagan Feng, A/Prof. Jinman Kim and Clinical Professor Michael Fulham.

My current research project is on disease mapping ( ).

E-mail: lei [DOT] bi [AT] sydney [DOT] edu [DOT] au

Year Degree
2014 - Present Doctor of Philosophy
BMIT Research Group, School of Information Technologies, University of Sydney
2012 - 2013 Master of Philosophy
BMIT Research Group, School of Information Technologies, University of Sydney
2011 - 2012 Master of Information Technology
School of Information Technologies, University of Sydney
2008 - 2010 Bachelor of Computer Science
Faculty of Science, Macquarie University

Career

Employment

  • 2016 S2
    Teaching Assistant for INFO5992 - Understanding Information Technology Innovations
    School of Information Technologies, University of Sydney
  • 2014 S2, 2015 S2, 2016 S2
    Teaching Assistant for INFO5306 - Enterprise Healthcare Information Systems
    School of Information Technologies, University of Sydney
  • 2012 S2, 2013 S1, 2013 S2, 2014 S1, 2015 S1
    Teaching Assistant for COMP5206 - Introduction to Information Systems
    School of Information Technologies, University of Sydney
  • 2012 - Present
    Research Assistant
    BMIT Research Group, School of Information Technologies, University of Sydney
  • 2010 - 2012
    Quality Assurance Analyst
    Altec Lansing Pty Limited, North Sydney
  • 2009 - 2010
    Quality Assurance Analyst
    Avega Systems Pty Limited, North Sydney
  • 2009
    Lab Officer
    Faculty of Science, Macquarie University
  • 2015
    MICCAI-CMMI Best Paper Award
    Adaptive Supervoxel Patch-based Region Classification in Whole-Body PET-CT
    L. Bi, J. Kim, A. Kumar, D. Feng, M. Fulham
  • 2013 - Present
    Australian Postgraduate Award (APA)
    Government of Australia
  • 2012
    CARS 2012 EuroPACS Best Poster Award
    for An image retrieval interface for volumetric multi-modal medical data:
    A. Kumar, J. Kim, L. Bi, D. Feng
    26th International Congress on Computer Assisted Radiology and Surgery
  • 2011 - 2012
    Summer Research Scholarship
    BMIT,School of Information Technologies, University of Sydney
  • 2011
    Information Technology Project Highest Mark Award
    School of Information Technologies, University of Sydney
  • 2009
    Microsoft Certified Technology Specialist
    Windows Server Network Infrastructure: Configuration
    Microsoft Windows: Configuration
  • 2008
    Highest Mark Award: COMP115 Introduction to Computer Science
    Highest Mark Award: MATH130 Mathematics 1E
    Sydney Institute of Business and Technology, Macquarie University

Achievements

Professional Services / Activities

  • Reviewer for IEEE Transactions on Medical Imaging (IEEE TMI)
  • Reviewer for IEEE Transactions on Cybernetics (IEEE TCYB)
  • Reviewer for IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
  • Reviewer for Computer Methods and Programs in Biomedicine (CMPB) journal
  • Reviewer for The Visual Computer Journal (Springer)
  • 2015, 2016, 2017, 2018
    Reviewer for The IEEE International Symposium on Biomedical Imaging (ISBI)
  • 2014
    Local Organising Committee Member for The 31st Computer Graphics International (CGI 2014)
  • 2013
    Local Organising Committee Member for The 6th IEEE Pacific Visualization (PacificVis 2013)

Publications

Journal Papers

# Description
5

L. Bi, J. Kim, E. Ahn, A. Kumar, M. Fulham and D. Feng, "Dermoscopic Image Segmentation via Multi-Stage Fully Convolutional Networks," in IEEE Transactions on Biomedical Engineering (TBME), Volume 64, Issue 9, pp 2065 - 2074, 2017. IEEE Xplore PDF

4

L. Bi, J. Kim, A. Kumar, M. Fulham and D. Feng, "Stacked Fully Convolutional Networks with Multi-Channel Learning: Application to Medical Image Segmentation," in The Visual Computer Journal (TVCJ), Volume 33, Issue 6-8, pp 1061-1071, 2017. Springer PDF

3

E. Ahn, J. Kim, L. Bi, A. Kumar, C. Li, M. Fulham and D. Feng, "Saliency -based Lesion Segmentation via Background Detection in Dermoscopic Images," in IEEE Journal of Biomedical and Health Informatics (JBHI), Volume 21, Issue 6, pp 1685 - 1693, 2017. IEEE Xplore PDF

2

L. Bi, J. Kim, A. Kumar, L. Wen, D. Feng and M. Fulham, "Automatic Detection and Classification of Regions of FDG Uptake in Whole-Body PET-CT Lymphoma Studies," in Computerized Medical Imaging and Graphics (CMIG), Volume 60, pp 3-10, 2017. Elsevier PDF

1

A. Kumar, J. Kim, L. Bi, M. Fulham, and D. Feng, "Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images," in International Journal of Computer Assisted Radiology and Surgery (CARS), Volume 8, Issue 6, pp 1003-1014, 2013. SpringerLink

Conference Papers

# Description
19

L. Bi, J. Kim, T. Su, M. Fulham, D. Feng, and G. Ning, "Adrenal Lesions Detection on Low-Contrast CT Images using Fully Convolutional Networks with Multi-Scale Integration," in International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp895-898, 2017. IEEE Xplore PDF

18

L. Bi, J. Kim, E. Ahn, D. Feng, and M. Fulham, "Semi-Automatic Skin Lesion Segmentation via Fully Convolutional Networks," in International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp561-564, 2017. IEEE Xplore PDF

17

L. Bi, J. Kim, E. Ahn, D. Feng, and M. Fulham, "Automated Skin Lesion Segmentation via Image-wise Supervised Learning and Multi-scale Superpixel Based Cellular Automata," in International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp1059-1062, 2016. IEEE Xplore PDF Code Available

16

L. Bi, J. Kim, E. Ahn, D. Feng, and M. Fulham, "Automatic Melanoma Detection via Multi-scale Lesion-biased Representation and Joint Reverse Classification," in International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp1055-1058, 2016. IEEE Xplore PDF

15

R. Huang, A. Li, L. Bi, C. Li, P. Young, J. Kim and D. Feng, "A Locally Constrained Statistical Shape Model for Robust Nasal Cavity Segmentation in Computed Tomography," in International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp1334-1337, 2016. IEEE Xplore PDF

14

L. Bi, J. Kim, L. Wen, D. Feng, and M. Fulham, "Automated Thresholded Region Classification Using A Robust Feature Selection Method For PET-CT," in International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp1435-1438, 2015. IEEE Xplore PDF

13

L. Bi, J. Kim, A. Kumar, D. Feng, and M. Fulham, "Adaptive Supervoxel Patch-based Region Classification in Whole-Body PET-CT," in Medical Image Computing and Computer Assisted Intervention (MICCAI) - Computational Methods for Molecular Imaging (CMMI), 2015. SpringerLink PDF Best Paper Award

12

L. Bi, J. Kim, D. Feng, and M. Fulham, "Automated Regions Of Interest (ROIs) Tracking For PET-CT Image Series Using Cellular Automata Segmentation," in International Journal of Computer Assisted Radiology and Surgery (CARS), vol 10, supp 1, S21-S22, 2015. SpringerLink PDF

11

R. Huang, L. Bi, C. Li, Y. Jung, J. Kim, M. Fulham, and D. Feng "A Locally Constrained Knowledge-Based Random Walk Approach for Airway Segmentation on Low-Contrast Computed Tomography (CT) Images," International Conference on Digital Image Computing Techniques and Applications (DICTA), 2015. IEEE Xplore PDF

10

E. Ahn, L. Bi, Y. Jung, J. Kim, C. Li, M. Fulham and D. Feng, "Automated Saliency-based Lesion Segmentation in Dermoscopic Images," in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3009 - 3012, 2015. IEEE Xplore PDF

9

L. Bi, J. Kim, D. Feng, and M. Fulham, "Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies," in The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp569-576, 2014. SpringerLink PDF

8

L. Bi, J. Kim, D. Feng, and M. Fulham, "Classification of Thresholded Regions based on Selective Use of PET, CT and PET-CT Image Features," in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1913-1916, 2014. IEEE Xplore PDF

7

A. Kumar, J.Kim, L. Bi, M. Fulham, and D. Feng, "Designing user interfaces to enhance human interpretation of medical CBIR: application to PET-CT images," in International Journal of Computer Assisted Radiology and Surgery (CARS), Volume 8, Supplement 1, S73-S73, 2013. SpringerLink

6

M. Ridder, L. Constantinescu, L. Bi, Y. Jung, A. Kumar, J. Kim and D. Feng, "An Intuitive Web-Based Medical Multimedia Visualisation Interface for Personal Health Records," in 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp.191-196, 2013. IEEE Xplore PDF

5

L. Bi, J. Kim, L. Wen, A. Kumar, M. Fulham and D. Feng , "Cellular Automata and Anisotropic Diffusion Filter based Interactive Tumor Segmentation for Positron Emission Tomography," in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p5453-5456, 2013. IEEE Xplore PDF

4

M. Ridder, L. Bi, L. Constantinescu, J. Kim and D. Feng, "Data Processing and Presentation for a Personalised, Image-driven Medical Graphical Avatar," in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p4183-4186, 2013. IEEE Xplore PDF

3

L. Bi, J. Kim, L. Wen and D. Feng, "Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding," International Conference on Digital Image Computing Techniques and Applications (DICTA), 2012 IEEE Xplore PDF

2

L. Bi, J. Kim, L. Wen and D. Feng, "Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies," in 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p5335-5338, 2012. IEEE Xplore PDF

1

A. Kumar, J.Kim, L. Bi, and D. Feng, "An image retrieval interface for volumetric multi-modal medical data: application to PET-CT content-based image retrieval," in International Journal of Computer Assisted Radiology and Surgery (CARS), Volume 7, Supplement 1, 475-477, 2012. SpringerLink Best Poster Award


Links

University of Sydney

The University of Sydney is a public university founded in 1850. Throughout its history, Sydney consistently ranks amongst the top universities in Australia and Oceania.

BMIT

The Biomedical & Multimedia Information Technology (BMIT) Research Group is one of leading research groups in the biomedical research area.

Dr. Jinman Kim

Dr. Jinman Kim is a ARC postdoc research fellow and has many years research experiences on biomedical image processing and visualization.

CGI 2014

The 31st CGI will be hosted at beautiful city of Sydney on June 10-13, 2014. Sydney is known for its harbour lifestyle, fantastic beaches and good weather - all contributing to a relaxed environment that permeates the city and its visitors.

BMET

BMET covers broad biomedical engineering and technology fields such as image processing and data management, image visualisation and analysis, bioinformatics and data mining, medical devices and networking, biomaterials and regenerative tissue engineering.

PacificVis 2013

The 6th PacificVis (Pacific Visualization) will be held in Sydney, Australia during February 26 to March 1, 2013. As part of PacificVis, workshop/tutorial sessions will be held on February 26, with the Symposium starting from February 27.

Photos


Contact