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, Bifurcation/Junction. [bibtex-key = phd2001]

1. 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, Bifurcation/Junction. [bibtex-key = crc2009]



2. 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, Bifurcation/Junction. [bibtex-key = dm2007b]



3. 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, Bifurcation/Junction. [bibtex-key = ymi2004]



4. 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, Bifurcation/Junction. [bibtex-key = mia2002]

1. Mengliu Zhao and Ghassan Hamarneh. Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 11861, pages 637-645, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation, Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = miccai_mlmi2019a]



2. Mengliu Zhao and Ghassan Hamarneh. TreeNet: Multi-Loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees. In Medical Image Computing and Computer-Assisted Intervention Workshop on Deep Learning in Medical Image Analysis (MICCAI DLMIA), volume 11045, pages 47-55, 2018. Keyword(s): Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Machine Learning, Deep Learning, Bifurcation/Junction. [bibtex-key = miccai_dlmia2018]



3. Zahra Mirikharaji, Mengliu Zhao, and Ghassan Hamarneh. Globally-Optimal Anatomical Tree Extraction from 3D Medical Images using Pictorial Structures and Minimal Paths. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Optimization, Bifurcation/Junction. [bibtex-key = healthtech2017e]



4. Zahra Mirikharaji, Mengliu Zhao, and Ghassan Hamarneh. Globally-Optimal Anatomical Tree Extraction from 3D Medical Images using Pictorial Structures and Minimal Paths (Mirikharaji and Zhao: Joint first authors). In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 10434, pages 242-250, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Optimization, Bifurcation/Junction. [bibtex-key = miccai2017a]



5. Mengliu Zhao and Ghassan Hamarneh. Bifurcation Localization in 3D Images via Evolutionary Geometric Deformable Templates. In Canadian Conference on Computer and Robot Vision (CRV), pages 124-130, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Deformable Models, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = crv2017a]



6. Mengliu Zhao, Brandon Miles, and Ghassan Hamarneh. Leveraging Tree Statistics for Extracting Anatomical Trees from 3D Medical Images. In Canadian Conference on Computer and Robot Vision (CRV), pages 131-138, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = crv2017b]



7. Mengliu Zhao, Brandon Miles, and Ghassan Hamarneh. Tree Structure Analysis in 3D Medical Images. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = healthtech2017f]



8. Mengliu Zhao and Ghassan Hamarneh. Bifurcation Detection in 3D Vascular Images Using Novel Features and Random Forest. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 421-424, 2014. Keyword(s): Anatomical Trees and Tubular Structures, Machine Learning, Bifurcation/Junction. [bibtex-key = isbi2014a]



9. Daniel Baboiu and Ghassan Hamarneh. Vascular Bifurcation Detection in Scale-Space. In IEEE workshop on Mathematical Methods for Biomedical Image Analysis (IEEE MMBIA), pages 41-46, 2012. Keyword(s): Anatomical Trees and Tubular Structures, Bifurcation/Junction. [bibtex-key = mmbia2012b]



10. Ghassan Hamarneh. Airway Segmentation using Crawlers and Optimal Paths. In First International Workshop on Dynamic Modeling of the Oral, Pharyngeal and Laryngeal Complex for Biomedical Applications (OPAL), pages 43, 2009. Keyword(s): Deformable Organisms, Segmentation, Anatomical Trees and Tubular Structures, Bifurcation/Junction. [bibtex-key = opal2009]



11. 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, Bifurcation/Junction. [bibtex-key = cvpr2006]



12. 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, Bifurcation/Junction. [bibtex-key = medical_showcase2005c]

1. Ryan Dickie, Ghassan Hamarneh, and Rafeef Abugharbieh. Live-vessel: Interactive vascular image segmentation with simultaneous extraction of optimal medial and boundary paths. Technical report TR 2009-23, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 11 2009. Keyword(s): Segmentation, Anatomical Trees and Tubular Structures, Color/Multichannel/Vector-valued, Optimization, Software and Tools, User Interaction, Medial-based Shape Representation, Graph based, Bifurcation/Junction. [bibtex-key = sfu_cs2009_23]

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