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Publications about 'Artificial Life'
Thesis
  1. Ghassan Hamarneh. Towards Intelligent Deformable Models for Medical Image Analysis. PhD thesis, Department of Signals and Systems, School of Electrical and Computer Engineering, Chalmers University of Technology, 2001. ISBN: 91-7291-082-8. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models, Deformable Organisms, Artificial Life. [bibtex-key = phd2001]


Articles in journal, book chapters
  1. Chris McIntosh and Ghassan Hamarneh. Medial-based Deformable Models in Non-convex Shape-spaces for Medical Image Segmentation using Genetic Algorithms. IEEE Transactions on Medical Imaging (IEEE TMI), 31(1):33-50, 2012. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models, Artificial Life, Optimization. [bibtex-key = tmi2012a]


  2. Ghassan Hamarneh, Chris McIntosh, Tim McInerney, and Demetri Terzopoulos. Deformable Organisms: An Artificial Life Framework for Automated Medical Image Analysis (Chapter 15). Computational Intelligence In Medical Imaging: Techniques and Applications, pp 433-474, 2009. ISBN: 978-1420060591. Keyword(s): Processing, Segmentation, Deformable Models, Deformable Organisms, Artificial Life. [bibtex-key = crc2009]


  3. Chris McIntosh and Ghassan Hamarneh. Evolutionary Deformable Models for Medical Image Segmentation: A Genetic Algorithm Approach to Optimizing Learned, Intuitive, and Localized Medial based Shape Deformation (Chapter 4.1). Genetic and Evolutionary Computation: Medical Applications, pp 47-67, 2009. ISBN: 978-0-470-74813-8. Keyword(s): Segmentation, Deformable Models, Artificial Life. [bibtex-key = gecma2009]


  4. Ghassan Hamarneh and Chris McIntosh. Deformable Organisms for Medical Image Analysis (Chapter 12). Deformable Models: Biomedical and Clinical Applications, pp 387-443, 2007. ISBN: 978-0-387-31201-9. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = dm2007b]


  5. Chris McIntosh and Ghassan Hamarneh. I-DO: A Deformable Organisms framework for ITK. Insight Journal, Special Issue: MICCAI 2006 Open Science Workshop:1-14, 2006. Keyword(s): Deformable Organisms, Software and Tools, Artificial Life. [bibtex-key = ij2006]


  6. Tim McInerney, Ghassan Hamarneh, Martha Shenton, and Demetri Terzopoulos. Deformable Organisms for Automatic Medical Image Analysis. Yearbook of Medical Informatics 2004, Special Topic: Towards Clinical Bioinformatics, pp 466-481 (reprinted from Medical Image Analysis 6(3) 2002, pp.251-266), 2004. ISBN: 3-7945-2336-9. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = ymi2004]


  7. Ghassan Hamarneh. Towards Intelligent Deformable Models for Medical Image Analysis. In R Haux and C Kulikowski, editors, Summary of results from the VISIT (Visual Information Technology Program) 1997-2002, number 32, pages 144-147. Centre for Image Analysis, Uppsala University, 2004. ISSN: ISSN 1100-6641. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models, Deformable Organisms, Artificial Life. [bibtex-key = VISITsummary2004_97_02]


  8. Tim McInerney, Ghassan Hamarneh, Martha Shenton, and Demetri Terzopoulos. Deformable organisms for automatic medical image analysis. Medical Image Analysis (MedIA), 6(3):251-266, 2002. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = mia2002]


Conference articles
  1. Chris McIntosh, Ghassan Hamarneh, Matt Toom, and Roger Tam. Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects using Crawlers and Minimal Paths. In IEEE Conference on Healthcare Informatics, Imaging and Systems Biology (IEEE HISB), pages 25-31, 2011. Keyword(s): Artificial Life, Deformable Organisms, Segmentation, Anatomical Trees and Tubular Structures. [bibtex-key = hisb2011b]


  2. Ghassan Hamarneh, Aaron Ward, Chris McIntosh, Ben Smith, Lisa Y. W. Tang, Ahmed Saad, Yonas Weldeselassie, and Omer Ishaq. Medical Image Analysis. In TechMed, Vancouver, May 16, 2007. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models, Deformable Organisms, Artificial Life, Imaging, Software and Tools. [bibtex-key = techmed2007]


  3. Chris McIntosh and Ghassan Hamarneh. Genetic algorithm driven statistically deformed models for medical image segmentation. In ACM Workshop on Medical Applications of Genetic and Evolutionary Computation Workshop, in conjunction with the Genetic and Evolutionary Computation Conference (ACM GECCO MedGEC), pages 8 pages, 2006. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models, Artificial Life. [bibtex-key = medgec2006]


  4. Chris McIntosh and Ghassan Hamarneh. I-DO: A Deformable Organisms framework for ITK. In Medical Image Computing and Computer-Assisted Intervention Open Science Workshop (also appears in the Insight Journal) (MICCAI OS), pages 1-14, 2006. Keyword(s): Deformable Organisms, Software and Tools, Artificial Life. [bibtex-key = miccai_os2006]


  5. Chris McIntosh and Ghassan Hamarneh. Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 4190, pages 808-815, 2006. Keyword(s): Segmentation, Deformable Models, Deformable Organisms, Artificial Life, Anatomical Trees and Tubular Structures. [bibtex-key = miccai2006]


  6. Chris McIntosh and Ghassan Hamarneh. Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis. In IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), pages 1084-1091, 2006. Keyword(s): Segmentation, Deformable Models, Deformable Organisms, Artificial Life, Anatomical Trees and Tubular Structures. [bibtex-key = cvpr2006]


  7. Ghassan Hamarneh and Chris McIntosh. Physics-based deformable organisms for medical image analysis. In SPIE Medical Imaging, volume 5747, pages 326-335, 2005. Keyword(s): Segmentation, Shape Modelling and Analysis, Medial-based Shape Representation, Deformable Organisms, Artificial Life. [bibtex-key = spiemi2005a]


  8. Chris McIntosh and Ghassan Hamarneh. Artificial Life Models for Medical Image Analysis - 2D and 3D ITK-Based Deformable Organisms. In 1st Annual Medical Technology Research Showcase, Vancouver, BC, 2005. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = medical_showcase2005c]


  9. Ghassan Hamarneh and Chris McIntosh. Corpus Callosum Segmentation in Magnetic Resonance Images Using Artificial Organisms. In The MSHRF/CIHR Strategic Training Program in Neurobiology and Behaviour. Neuroscience Research Colloquia, Annual Neuroscience Extravaganza, Brain Research Centre, UBC, November 2004. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = neuroscix2004]


  10. Ghassan Hamarneh, Tim McInerney, and Demetri Terzopoulos. Deformable Organisms for Automatic Medical Image Analysis.. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 2208, pages 66-75, 2001. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = miccai2001]


Internal reports
  1. Ghassan Hamarneh, Tim McInerney, and Demetri Terzopoulos. Intelligent Deformable Organisms: An ALife Approach to Medical Image Analysis. Technical report CSRG-432, Department of Computer Science, University of Toronto, Toronto, ON, Canada, 2001. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = csrg2001_432]



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Last modified: Wed Oct 18 00:00:28 2017
Author: hamarneh.


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