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Publications of Jeremy Kawahara
Articles in journal, book chapters
  1. 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, 146(1):1038-1049, 2017. Keyword(s): Diffusion MRI, Neurodevelopment, Connectome, Machine Learning, Deep Learning. [bibtex-key = neuroimage2017]


  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, 145:85-93, 2017. Keyword(s): Machine Learning, Deep Learning, Optimization. [bibtex-key = cmpb2017]


Conference articles
  1. 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]


  2. 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]


  3. 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]


  4. 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]


  5. 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]


  6. 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]


  7. 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]


  8. Ghassan Hamarneh, Alborz Amir-Khalili, Masoud Nosrati, Ivan Figueroa, Jeremy Kawahara, Osama Al-Alao, Jean-Marc Peyrat, Julien Abi-Nahed, Abdulla Al-Ansari, and Rafeef Abugharbieh. Towards Multi-Modal Image-Guided Tumour Identification in Robot-Assisted Partial Nephrectomy. In IEEE Middle East Conference on Biomedical Engineering (IEEE MECBME), pages 159-162, 2014. Keyword(s): Image-Guided Surgery, Segmentation, Registration and Matching, Physical Modelling. [bibtex-key = mecbme2014]


  9. 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]


  10. 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]


  11. Jeremy Kawahara, Chris McIntosh, Roger Tam, and Ghassan Hamarneh. Globally Optimal Spinal Cord Segmentation using A Minimal Path in High Dimensions. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 836-839, 2013. Keyword(s): Segmentation, Optimization, Anatomical Trees and Tubular Structures, Graph based. [bibtex-key = isbi2013b]


  12. 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]


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]



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Last modified: Sat Oct 21 23:31:52 2017
Author: hamarneh.


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