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Publications about 'Deep Learning'
Articles in journal, book chapters
  1. Saeedeh Afshari, Aicha BenTaieb, and Ghassan Hamarneh. Automatic Localization of Normal Active Organs in 3D PET Scans. Computerized Medical Imaging and Graphics (CMIG), 000(000):000-000, 2018. Keyword(s): Deep Learning, Machine Learning, Functional/Molecular/Dynamic Imaging, Localization. [bibtex-key = cmig2018c]


  2. Aicha BenTaieb and Ghassan Hamarneh. Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Transactions on Medical Imaging (IEEE TMI), 37(3):792-802, 2018. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning, Generative Adversarial Network. [bibtex-key = tmi2018]


  3. Jeremy Kawahara, Sara Daneshvar, Giuseppe Argenziano, and Ghassan Hamarneh. Seven-Point Checklist and Skin Lesion Classification using Multi-Task Multi-Modal Neural Net. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI) (Special Issue on Skin Lesion Image Analysis for Melanoma Detection), 0(0):00-00, 2018. Keyword(s): Color, Deep Learning, Dermatology. [bibtex-key = jbhi2018a]


  4. Jeremy Kawahara and Ghassan Hamarneh. Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI) (Special Issue on Skin Lesion Image Analysis for Melanoma Detection), 0(0):00-00, 2018. Keyword(s): Color, Deep Learning, Dermatology. [bibtex-key = jbhi2018b]


  5. 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]


  6. 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]


  7. 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. Saeedeh Afshari, Aicha BenTaieb, Zahra Mirikharaji, and Ghassan Hamarneh. Weakly Supervised Fully Convolutional Network for PET Lesion Segmentation. In SPIE Medical Imaging, volume 000, pages 000-000, 2019. Keyword(s): Deep Learning, Machine Learning, Functional/Molecular/Dynamic Imaging, Localization. [bibtex-key = spiemi2019]


  2. Aicha BenTaieb and Ghassan Hamarneh. Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai2018b]


  3. Arafat Hussain, Ghassan Hamarneh, and Rafeef Abugharbieh. Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma using Multiple Instance Decisions Aggregated CNN. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Super Resolution, Machine Learning, Deep Learning. [bibtex-key = miccai2018d]


  4. Saeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, and Ghassan Hamarneh. Generative Adversarial Networks to Segment Skin Lesions. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 881-884, 2018. Keyword(s): Machine Learning, Dermatology, Color, Deep Learning, Generative Adversarial Network. [bibtex-key = isbi2018b]


  5. Saeed Izadi, Kathleen Moriarty, and Ghassan Hamarneh. Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Super Resolution, Machine Learning, Deep Learning. [bibtex-key = miccai2018c]


  6. Jeremy Kawahara, Colin J. Brown, and Ghassan Hamarneh. Connectome Priors in Deep Neural Networks to Predict Autism (Kawahara and Brown: Joint first authors). In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 110-113, 2018. Keyword(s): Diffusion MRI, Autism, Connectome, Machine Learning, Deep Learning. [bibtex-key = isbi2018c]


  7. Zahra Mirikharaji and Ghassan Hamarneh. Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation, Dermatology, Color, Shape Modelling and Analysis. [bibtex-key = miccai2018a]


  8. Zahra Mirikharaji, Saeed Izadi, Jeremy Kawahara, and Ghassan Hamarneh. Deep Auto-context Fully Convolutional Neural Network for Skin Lesion Segmentation. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 877-880, 2018. Keyword(s): Machine Learning, Dermatology, Color, Deep Learning, Generative Adversarial Network. [bibtex-key = isbi2018a]


  9. Saeid Asgari Taghanaki, Arkadeep Das, and Ghassan Hamarneh. Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. In Medical Image Computing and Computer-Assisted Intervention Workshop on Deep Learning Fails (MICCAI DLF), volume 000, pages 000-000, 2018. Keyword(s): Machine Learning, Deep Learning, Adversarial Attacks. [bibtex-key = miccai_dlf2018]


  10. Hanene Ben Yedder, Aicha BenTaieb, Majid Shokoufi, Amir Zahiremami Farid Golnaraghi, and Ghassan Hamarneh. Deep Learning based Image Reconstruction for Diffuse Optical Tomography. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning for Medical Image Reconstruction (MICCAI MLMIR), volume 11074, pages 112-119, 2018. Keyword(s): Image Reconstruction, Diffuse Optical Tomography, Machine Learning, Deep Learning. [bibtex-key = miccai_mlmir2018]


  11. 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. [bibtex-key = miccai_dlmia2018]


  12. Aicha BenTaieb and Ghassan Hamarneh. Artificial Pathologists: Machine Learning Models for Histopathology. In Annual SFU Health Research Day - Women's Health Research Symposium, 2017. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning. [bibtex-key = sfu_health2017]


  13. 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]


  14. 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]


  15. 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]


  16. 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]


  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 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Diffusion MRI, Neurodevelopment, Connectome, Machine Learning, Deep Learning. [bibtex-key = healthtech2017c]


  18. 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]


  19. 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]


  20. 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]


  21. 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]


  22. 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]


  23. 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]


  24. 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]


Internal reports
  1. Saeid Asgari Taghanaki, Aicha BenTaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, and Ghassan Hamarneh. Select, Attend, and Transfer: Light, Learnable Skip Connections. Technical report arXiv:1703.04559, 4 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation. [bibtex-key = arXiv:1804.05181]


  2. Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, and Ghassan Hamarneh. Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. Technical report arXiv:1703.04559, 5 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation. [bibtex-key = arXiv:1805.02798]


  3. Jeremy Kawahara and Ghassan Hamarneh. Fully Convolutional Networks to Detect Clinical Dermoscopic Features. Technical report arXiv:1703.04559, 3 2017. Keyword(s): Machine Learning, Deep Learning, Dermatology, Challenge. [bibtex-key = arXiv:1703.04559]



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Last modified: Thu Oct 18 18:50:53 2018
Author: hamarneh.


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