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Publications about 'Dermatology'
Articles in journal, book chapters
  1. Peyman Gholami, Mohammad Ali Ahmadi-pajouh, Nabiollah Abolftahi, Ghassan Hamarneh, and Mohammad Kayvanrad. Segmentation and Measurement of Chronic Wounds for Bioprinting. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 0(0):00-00, 2017. Keyword(s): Segmentation, Dermatology. [bibtex-key = jbhi2017]


  2. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Skin Lesion Tracking System using Structured Graphical Models. Medical Image Analysis (MedIA) (Special Issue on Discrete Graphical Models in Biomedical Image Analysis), 27:84-92, 2015. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology, Machine Learning. [bibtex-key = media2015]


  3. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Streak-Detection in Dermoscopic Color Images using Localized Radial Flux of Principal Intensity Curvature (Chapter 7). Dermoscopy Image Analysis, pp 211-229, 2015. ISBN: 9781482253269. Keyword(s): Color, Processing, Segmentation, Anatomical Trees and Tubular Structures, Dermatology. [bibtex-key = crc2015a]


  4. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Hair Enhancement in Dermoscopic Images using Dual-Channel Quaternion Tubularness Filters and MRF-based Multi-Label Optimization. IEEE Transactions on Image Processing (IEEE TIP), 23(12):5486-5496, 2014. Keyword(s): Anatomical Trees and Tubular Structures, Processing, Color, Dermatology. [bibtex-key = tip2014]


  5. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Spatial Normalization of Human Back Images for Dermatological Studies. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 18(4):1494-1501, 2013. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = jbhi2013]


Conference articles
  1. Jeremy Kawahara, Kathleen Moriarty, and Ghassan Hamarneh. Graph Geodesics to Find Progressively Similar Skin Lesion Images. In Medical Image Computing and Computer-Assisted Intervention Workshop on Graphs in Biomedical Image Analysis (MICCAI GRAIL), pages 1-11, 2017. Keyword(s): Machine Learning, Dermatology, Color, Deep Learning, Graph based. [bibtex-key = miccai_grail2017]


  2. Jeremy Kawahara, Aicha BenTaieb, and Ghassan Hamarneh. Deep Features to Classify Skin Lesions. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 1397-1400, 2016. Keyword(s): Machine Learning, Dermatology, Deep Learning. [bibtex-key = isbi2016b]


  3. Jeremy Kawahara and Ghassan Hamarneh. Multi-Resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 10019, pages 164-171, 2016. Keyword(s): Machine Learning, Dermatology, Color, Deep Learning. [bibtex-key = miccai_mlmi2016a]


  4. Jeremy Kawahara and Ghassan Hamarneh. Image Content-Based Navigation of Skin Conditions. In World Congress of Dermatology (WCD), 2015. Keyword(s): Dermatology, Color, Visualization, User Interaction,. [bibtex-key = wcd2015a]


  5. Ali Majdzadeh, Mohammed AlJasser, Hengameh Mirzaalian, Jerry Shapiro, Ghassan Hamarneh, and Tim Lee. Automated Counting of Hair Using an iPhone. In World Congress of Dermatology (WCD), 2015. Keyword(s): Anatomical Trees and Tubular Structures, Dermatology, Color, Software and Tools. [bibtex-key = wcd2015c]


  6. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. A computer vision tracking system for pigmented skin lesions. In World Congress of Dermatology (WCD), 2015. Keyword(s): Processing, Color, Machine Learning, Optimization, Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = wcd2015b]


  7. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Detecting Streaks from Dermoscopic Images of Pigmented Skin Lesions. In The International Society for Biophysics and Imaging of the Skin (ISBS), 2015. Keyword(s): Processing, Color, Machine Learning, Dermatology. [bibtex-key = isbs2015]


  8. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Skin Lesion Matching using Jacobian Based Descriptors for Topology Preservation. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 1407-1410, 2015. Keyword(s): Dermatology, Registration and Matching. [bibtex-key = isbi2015c]


  9. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Learning Features for Streak Detection in Dermoscopic Color Images using Localized Radial Flux of Principal Intensity Curvature. In IEEE workshop on Mathematical Methods for Biomedical Image Analysis (IEEE MMBIA), pages 97-101, 2012. Keyword(s): Color, Machine Learning, Anatomical Trees and Tubular Structures, Dermatology. [bibtex-key = mmbia2012d]


  10. Hengameh Mirzaalian, Tim Lee, and Ghassan Hamarneh. Uncertainty-based Feature Learning for Skin Lesion Matching using a High Order MRF Optimization Framework. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 7511, pages 98-105, 2012. Keyword(s): Machine Learning, Uncertainty, Optimization, Dermatology. [bibtex-key = miccai2012]


  11. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim Lee. Back Atlas for Tracking Pigmented Skin Lesions. In Annual UBC and CIHR Skin Research Day, 2010. Keyword(s): Registration and Matching, Tracking, Dermatology. [bibtex-key = skin2010]


  12. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim Lee. Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates. In IEEE Computer Vision and Pattern Recognition (IEEE CVPR), pages 2152-2159, 2009. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = cvpr2009]


  13. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim Lee. Skin Mole Matching Incorporating Template-Normalized Coordinates. In Annual UBC and CIHR Skin Research Day, 2009. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = skin2009]


Internal reports
  1. Jeremy Kawahara and Ghassan Hamarneh. Fully Convolutional Networks to Detect Clinical Dermoscopic Features. Technical report arXiv:1703.04559, March 2017. Keyword(s): Machine Learning, Deep Learning, Dermatology, Challenge. [bibtex-key = arXiv:1703.04559]


  2. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim Lee. Spatial Normalization of Human Back Images for Dermatological Studies. Technical report TR 2010-01, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, February 2010. Keyword(s): Registration and Matching, Dermatology. [bibtex-key = sfu_cs2010_01]



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Last modified: Sat Dec 9 17:48:14 2017
Author: hamarneh.


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