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Publications about 'Machine Learning'
Articles in journal, book chapters
  1. Aicha BenTaieb, Hector Li-Chang, David Huntsman, and Ghassan Hamarneh. A Structured Latent Model for Ovarian Carcinoma Subtyping from Histopathology Slides. Medical Image Analysis (MedIA), 39:194-205, 2017. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning. [bibtex-key = media2017]


  2. Saeid Asgari Taghanaki, Jeremy Kawahara, Brandon Miles, and Ghassan Hamarneh. Pareto-Optimal Multi-objective Dimensionality Reduction Deep Auto-Encoder for Mammography Classification. Computer Methods and Programs in Biomedicine, 000(000):000-000, 2017. Keyword(s): Machine Learning, Deep Learning, Optimization. [bibtex-key = cmpb2017]


  3. Aicha BenTaieb, Masoud Nosrati, Hector Li-Chang, David Huntsman, and Ghassan Hamarneh. Clinically-Inspired Automatic Classification of Ovarian Carcinoma Subtypes. Journal of Pathology Informatics, 7(1):1-28, 2016. Keyword(s): Color, Machine Learning, Microscopy. [bibtex-key = jpi2016]


  4. Jeremy Kawahara, Colin J. Brown, Steven Miller, Brian G. Booth, Vann Chau, Ruth Grunau, Jill Zwicker, and Ghassan Hamarneh. BrainNetCNN: Convolutional Neural Networks for Brain Networks; Towards Predicting Neurodevelopment (Brown and Kawahara: Joint first authors). NeuroImage, 0(0):00-00, 2016. Keyword(s): Diffusion MRI, Neurodevelopment, Connectome, Machine Learning, Deep Learning. [bibtex-key = neuroimage2016]


  5. 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]


  6. Ching-Wei Wang, Cheng-Ta Huang, Meng-Che Hsieh, Chung-Hsing Li, Sheng-Wei Chang, Wei-Cheng Li, Remy Vandaele, Raphael Maree, Sebastien Jodogne, Pierre Geurts, Cheng Chen, Guoyan Zheng, Chengwen Chu, Hengameh Mirzaalian, Ghassan Hamarneh, Tomaz Vrtovec, and Bulat Ibragimov. Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Transactions on Medical Imaging (IEEE TMI), 34(9):1890-900, 2015. Keyword(s): Challenge, Graph based, Optimization, Machine Learning, Registration and Matching. [bibtex-key = tmi2015b]


  7. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. MRI-based 3D shape analysis of thigh muscles: Patients with chronic obstructive pulmonary disease versus healthy adults. Academic Radiology, 18(2):155-166, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = ar2011]


  8. Oliver van Kaick, Ghassan Hamarneh, Aaron Ward, Mark Schweitzer, and Hao (Richard) Zhang. Learning Fourier Descriptors for Computer-Aided Diagnosis of the Supraspinatus. Academic Radiology, 17(8):1040-1049, 2010. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = ar2010a]


  9. Aaron Ward, Ghassan Hamarneh, and Mark Schweitzer. 3D Bicipital Groove Shape Analysis and Relationship to Tendopathy. Journal of Digital Imaging, 21(2):219-234, 2008. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = jdi2008a]


  10. Aaron Ward, Ghassan Hamarneh, Reem Ashry, and Mark Schweitzer. 3D Shape Analysis of the Supraspinatus Muscle: A Clinical Study of the Relationship between Shape and Pathology. Academic Radiology, 14(10):1229-1241, 2007. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = ar2007]


Conference articles
  1. Payam Ahmadvand, Noirin Duggan, Francois Benard, and Ghassan Hamarneh. Tumour Lesion Segmentation from 3D PET using a Machine Learning driven Active Surface. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = healthtech2017b]


  2. Aicha BenTaieb and Ghassan Hamarneh. Topology Aware Fully Convolutional Networks For Histology Gland Segmentation. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning. [bibtex-key = healthtech2017a]


  3. Aicha BenTaieb and Ghassan Hamarneh. Uncertainty Driven Multi-Loss Fully Convolutional Networks for Gland Analysis. In Medical Image Computing and Computer-Assisted Intervention Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS), volume 10552, pages 155-163, 2017. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai_labels2017a]


  4. Colin J. Brown, Kathleen Moriarty, Steven Miller, Brian G. Booth, Vann Chau, Anne Synnes, Ruth Grunau, and Ghassan Hamarneh. Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 10433, pages 84-91, 2017. Keyword(s): Neurodevelopment, Machine Learning. [bibtex-key = miccai2017b]


  5. Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, and Rafeef Abugharbieh. Collage CNN for Renal Cell Carcinoma Detection from CT. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 10541, pages 229-237, 2017. Keyword(s): Machine Learning, Deep Learning, Segmentation, Localization. [bibtex-key = miccai_mlmi2017]


  6. Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, and Rafeef Abugharbieh. Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 10435, pages 612-620, 2017. Keyword(s): Machine Learning, Deep Learning, Segmentation, Localization. [bibtex-key = miccai2017c]


  7. Jeremy Kawahara, Colin J. Brown, Steven Miller, Brian G. Booth, Vann Chau, Ruth Grunau, Jill Zwicker, and Ghassan Hamarneh. BrainNetCNN: Artificial Convolutional Neural Networks for Connectomes. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Diffusion MRI, Neurodevelopment, Connectome, Machine Learning, Deep Learning. [bibtex-key = healthtech2017c]


  8. 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]


  9. Saeid Asgari Taghanaki, Noirin Duggan, Hillgan Ma, Anna Celler, Francois Benard, and Ghassan Hamarneh. Lesion volume Estimation from PET without Requiring Segmentation. In Quantitative Imaging Network (QIN) Annual Meeting, 2017. Keyword(s): Segmentation, Machine Learning. [bibtex-key = qin2017]


  10. Payam Ahmadvand, Noirin Duggan, Francois Benard, and Ghassan Hamarneh. Tumour Lesion Segmentation from 3D PET using a Machine Learning driven Active Surface. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 10019, pages 271-278, 2016. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = miccai_mlmi2016b]


  11. Aicha BenTaieb and Ghassan Hamarneh. Topology Aware Fully Convolutional Networks For Histology Gland Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9900, pages 460-468, 2016. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai2016a]


  12. Aicha BenTaieb, Jeremy Kawahara, and Ghassan Hamarneh. Multi-Loss Convolutional Networks for Gland Analysis in Microscopy. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 642-645, 2016. Keyword(s): Machine Learning, Microscopy, Deep Learning. [bibtex-key = isbi2016a]


  13. Colin J. Brown, Steven Miller, Brian G. Booth, Jill Zwicker, Ruth Grunau, Anne Synnes, Vann Chau, and Ghassan Hamarneh. Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes. In Annual Neuroscience Extravaganza, Centre for Brain Health, BC, Canada, 2016. Keyword(s): Neurodevelopment, Machine Learning. [bibtex-key = neuroscix2016b]


  14. Colin J. Brown, Steven Miller, Brian G. Booth, Jill Zwicker, Ruth Grunau, Anne Synnes, Vann Chau, and Ghassan Hamarneh. Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9900, pages 175-183, 2016. Keyword(s): Neurodevelopment, Machine Learning. [bibtex-key = miccai2016b]


  15. Arafat Hussain, Ghassan Hamarneh, Tim O'Connell, Mohammed Mohammed, and Rafeef Abugharbieh. Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 10019, pages 156-163, 2016. Keyword(s): Machine Learning, Segmentation. [bibtex-key = miccai_mlmi2016c]


  16. 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]


  17. Jeremy Kawahara, Colin J. Brown, Steven Miller, Brian G. Booth, Vann Chau, Ruth Grunau, Jill Zwicker, and Ghassan Hamarneh. BrainNetCNN: Artificial Convolutional Neural Networks for Connectomes. In Annual Neuroscience Extravaganza, Centre for Brain Health, BC, Canada, 2016. Keyword(s): Diffusion MRI, Neurodevelopment, Connectome, Machine Learning, Deep Learning. [bibtex-key = neuroscix2016a]


  18. 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]


  19. Aicha BenTaieb, Hector Li-Chang, David Huntsman, and Ghassan Hamarneh. Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9349, pages 629-636, 2015. Keyword(s): Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai2015b]


  20. Colin J. Brown, Steven Miller, Brian G. Booth, Ken Poskitt, Vann Chau, Anne Synnes, Jill Zwicker, Ruth Grunau, and Ghassan Hamarneh. Prediction of Motor Function in Very Preterm Infants using Connectome Features and Local Synthetic Instances. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9349, pages 69-76, 2015. Keyword(s): Neurodevelopment, Machine Learning. [bibtex-key = miccai2015a]


  21. 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]


  22. 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]


  23. Jeremy Kawahara, Jean-Marc Peyrat, Julien Abi-Nahed, Osama Al-Alao, Abdulla Al-Ansari, Rafeef Abugharbieh, and Ghassan Hamarneh. Automatic Labelling of Tumourous vs Tumour-Free Frames in Free-Hand Laparoscopic Ultrasound Video. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 8674, pages 677-684, 2014. Keyword(s): Spatio-Temporal, Machine Learning, Segmentation, Image-Guided Surgery. [bibtex-key = miccai2014c]


  24. Hengameh Mirzaalian and Ghassan Hamarneh. Automatic Globally-Optimal Pictorial Structures with Random Decision Forest Based Likelihoods For Cephalometric X-Ray Landmark Detection. In Automatic Cephalometric X-Ray Landmark Detection Challenge 2014, in conjunction with IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 1-12, 2014. Keyword(s): Challenge, Machine Learning, Optimization. [bibtex-key = isbi2014_chlg_ceph]


  25. 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. [bibtex-key = isbi2014a]


  26. Jeremy Kawahara, Chris McIntosh, Roger Tam, and Ghassan Hamarneh. Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 8184, pages 212-219, 2013. Keyword(s): Segmentation, Machine Learning, Shape Modelling and Analysis. [bibtex-key = miccai_mlmi2013a]


  27. Jeremy Kawahara, Chris McIntosh, Roger Tam, and Ghassan Hamarneh. Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients. In Medical Image Computing and Computer-Assisted Intervention Workshop on Computational Methods and Clinical Applications for Spine Imaging (MICCAI CSI), pages 1-13, 2013. Keyword(s): Machine Learning, Shape Modelling and Analysis. [bibtex-key = miccai_csi2013]


  28. Tayebeh Lotfi, Lisa Y. W. Tang, Shawn Andrews, and Ghassan Hamarneh. Improving probabilistic image registration via reinforcement learning and uncertainty evaluation. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 8184, pages 188-195, 2013. Keyword(s): Uncertainty, Registration and Matching, Machine Learning. [bibtex-key = miccai_mlmi2013b]


  29. Hamidreza Mirzaei, Lisa Y. W. Tang, Rene Werner, and Ghassan Hamarneh. Decision Forests with Spatio-temporal Features for Graph-based Tumour Segmentation in 4D Lung CT. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 8184, pages 179-186, 2013. Keyword(s): Segmentation, Machine Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = miccai_mlmi2013c]


  30. 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]


  31. 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]


  32. Lisa Y. W. Tang, Alfred O Hero, and Ghassan Hamarneh. Locally-Adaptive Similarity Metric for Deformable Medical Image Registration. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 728-731, 2012. Keyword(s): Machine Learning, Registration and Matching. [bibtex-key = isbi2012a]


  33. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. 3D shape analysis of thigh muscles: people with Chronic Obstructive Pulmonary Disease versus healthy older adults. In Canadian Physiotherapy Association Congress, pages 1, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = cpa2011]


  34. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. MRI-based Three dimensional shape analysis of thigh muscles: people with Chronic Obstructive Pulmonary Disease versus healthy older adults. In Heart+Lung Health Fest, pages 1, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = hlf2011]


  35. Lisa Y. W. Tang, Ghassan Hamarneh, and Tim Bressmann. A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 7009, pages 151-158, 2011. Keyword(s): Tracking, Machine Learning. [bibtex-key = miccai_mlmi2011]


  36. Chris McIntosh and Ghassan Hamarneh. Optimal Weights for Convex Functionals in Medical Image Segmentation. In International Symposium on Visual Computing: Special Track on Optimization for Vision, Graphics and Medical Imaging: Theory and Applications (ISVC OVGMI), volume 5875-I, pages 1079-1088, 2009. Keyword(s): Optimization, Segmentation, Machine Learning. [bibtex-key = isvc2009b]


  37. Chris McIntosh and Ghassan Hamarneh. Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 4792, pages 503-510, 2007. Keyword(s): Deformable Models, Segmentation, Optimization, Machine Learning. [bibtex-key = miccai2007c]


  38. Aaron Ward, Ghassan Hamarneh, and Mark Schweitzer. Anatomical Shape Analysis: Exploring the Relationship between Shape and Pathology. In CIHR National Research Poster Competition, Canadian Student Health Research Forum (CSHRF), Winnipeg, June 6-7, 2007. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = cshrf2007]


  39. Aaron Ward, Ghassan Hamarneh, Reem Ashry, and Mark Schweitzer. 3D Shape Analysis of the Supraspinatus Muscle. In Medical Image Computing and Computer-Assisted Intervention Joint Diseases Workshop (MICCAI JD), pages 96-103, 2006. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = miccai_jd2006b]


  40. Aaron Ward, Ghassan Hamarneh, and Mark Schweitzer. 3D Shape Description of the Bicipital Groove: Correlation to Pathology. In Medical Image Computing and Computer-Assisted Intervention Joint Diseases Workshop (MICCAI JD), pages 80-87, 2006. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = miccai_jd2006a]


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. Colin J. Brown and Ghassan Hamarneh. Machine Learning on Human Connectome Data from MRI. Technical report arXiv:1611.08699, November 2016. Keyword(s): Machine Learning, Connectome, Functional/Molecular/Dynamic Imaging. [bibtex-key = arXiv:1611.08699]



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Last modified: Mon Oct 9 10:53:51 2017
Author: hamarneh.


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