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Publications about 'Imaging'
Books and proceedings
  1. Li Wang, Yinghuan Shi, Heung-Il Suk, Alison Noble, and Ghassan Hamarneh, editors. Special Issue on Machine Learning in Medical Imaging (MLMI), volume 74. 2019. [bibtex-key = cmig2019mlmi]


  2. Ghassan Hamarneh and Rafeef Abugharbieh, editors. Proceedings of the First MICCAI Workshop on Analysis of Functional Medical Images, Workshop held in conjunction with the 2008 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). New York, NY, USA, 9 2008. Keyword(s): Functional/Molecular/Dynamic Imaging, Functional/Molecular/Dynamic Imaging, Spatio-Temporal. [bibtex-key = miccai_func2008_proc]


Thesis
  1. William Ma. Motion Estimation for Functional Medical Imaging Studies Using A Stereo Video Head Pose Tracking System. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, July 2009. [bibtex-key = msc2009ma]


Articles in journal, book chapters
  1. Saeed Izadi, Isaac Shiri, Carlos Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, and Ghassan Hamarneh. Enhanced Direct Joint Attenuation and Scatter Correction of Whole-Body PET Images via Context-Aware Deep Networks. Zeitschrift fuer Medizinische Physik, 000(000):000-000, 2024. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = zmedphys2024]


  2. Hanene Ben Yedder, Ben Cardoen, Majid Shokoufi, Farid Golnaraghi, and Ghassan Hamarneh. Deep Orthogonal Multi-Wavelength Fusion for Tomogram-Free Diagnosis in Diffuse Optical Imaging. Computers in Biology and Medicine (CIBM), 000:000, 2024. Keyword(s): Image Reconstruction, Machine Learning, Deep Learning. [bibtex-key = cibm2024]


  3. Ivan Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, and Arman Rahmim. Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Computer Methods and Programs in Biomedicine, 2019(106750):1-10, 2022. Keyword(s): Deep Learning, Functional/Molecular/Dynamic Imaging, Radiomics. [bibtex-key = cmpb2022]


  4. Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, and Ghassan Hamarneh. Artificial Intelligence in Glioma Imaging: Challenges and Advances. Journal of Neural Engineering, 17(2):021002, 2020. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Survey/Review. [bibtex-key = jne2020]


  5. Chloe Lim, Hayyan Liaqat, William Siu, Ghassan Hamarneh, and George Medvedev. Future implementation of automated analysis tools for Multiple Sclerosis on conventional magnetic resonance imaging (Lim and Liaqat: Joint first authors; Hamarneh and Medvedev: Joint senior authors). Multiple Sclerosis. MSVirtual 2020 – Late Breaking News. Also appears in ACTRIMS-ECTRMS meeting, 1(3 SUPPL):99, 2020. Keyword(s): Segmentation, Software and Tools, Multiple Sclerosis, MRI. [bibtex-key = msj2020]


  6. Brian Smith, John Buatti, Christian Bauer, Ethan Ulrich, Payam Ahmadvand, Mikalai Budzevich, Robert Gillies, Dmitry Goldgof, Milan Grkovski, Ghassan Hamarneh, Paul Kinahan, John Muzi, Mark Muzi, Charles Laymon, James Mountz, Sadek Nehmeh, Matthew Oborski, Binsheng Zhao, John Sunderland, and Reinhard Beichel. Multi-Site Technical and Clinical Performance Evaluation of Quantitative Imaging Biomarkers from 3D FDG PET Segmentations of Head and Neck Cancer Images. Tomography, 6(2):65-76, 2020. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = tomography2020]


  7. Saeedeh Afshari, Aicha BenTaieb, and Ghassan Hamarneh. Automatic Localization of Normal Active Organs in 3D PET Scans. Computerized Medical Imaging and Graphics (CMIG), 70:111-118, 2018. Keyword(s): Deep Learning, Machine Learning, Functional/Molecular/Dynamic Imaging, Localization. [bibtex-key = cmig2018c]


  8. Saeid Asgari Taghanaki, Noirin Duggan, Hillgan Ma, Xinchi Hou, Anna Celler, Francois Benard, and Ghassan Hamarneh. Segmentation-Free Direct Tumor Volume and Metabolic Activity Estimation from PET Scans. Computerized Medical Imaging and Graphics (CMIG), 63(January):52-66, 2018. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = cmig2018a]


  9. Reinhard Beichel, Brian Smith, Christian Bauer, Ethan Ulrich, Payam Ahmadvand, Mikalai Budzevich, Robert Gillies, Dmitry Goldgof, Milan Grkovski, Ghassan Hamarneh, Qiao Huang, Paul Kinahan, Charles Laymon, James Mountz, John Muzi, Mark Muzi, Sadek Nehmeh, Matthew Oborski, Yongqiang Tan, Binsheng Zhao, John Sunderland, and John Buatti. Multi-site Quality and Variability Analysis of 3D FDG PET Segmentations based on Phantom and Clinical Image Data. Medical Physics, 44(2):479-496, 2016. Keyword(s): Segmentation, Machine Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = mp2017]


  10. Bernard Ng, Ghassan Hamarneh, and Rafeef Abugharbieh. Modeling Brain Activation in fMRI Using Group MRF. IEEE Transactions on Medical Imaging (IEEE TMI), 31(5):1113-1123, 2012. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation, Graph based. [bibtex-key = tmi2012b]


  11. Ghassan Hamarneh, Chris McIntosh, and Mark S. Drew. Perception-based Visualization of Manifold-Valued Medical Images using Distance-Preserving Dimensionality Reduction. IEEE Transactions on Medical Imaging (IEEE TMI), 30(7):1314-1327, 2011. Keyword(s): Color/Multichannel/Vector-valued, Visualization, Diffusion MRI/Tensor-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = tmi2011b]


  12. Ahmed Saad, Torsten Moeller, and Ghassan Hamarneh. ProbExplorer: An Uncertainty-based Visual Analysis Tool for Medical Imaging. Computer Graphics Forum (CGF) (Special Issue of the proceedings of Eurographics/IEEE-VGTC Symposium on Visualization 2010), 29(3):1113-1122, 2010. Keyword(s): Software and Tools, Segmentation, Uncertainty, User Interaction, Visualization, Spatio-Temporal. [bibtex-key = cgf2010]


  13. Lisa Y. W. Tang, Ghassan Hamarneh, and Anna Celler. Dual-isotope Acquisition for CT-SPECT Registration of Infection Studies. Journal of Digital Imaging, 23(3):258-267, 2010. Keyword(s): Imaging, Registration and Matching, Validation, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = jdi2010]


  14. Lingshu Yin, Lisa Y. W. Tang, Ghassan Hamarneh, Brad Gill, Anna Celler, Sergey Shcherbinin, Tsien-Fei Fua, Anna Thompson, Mitchell Liu, Cheryl Duzenli, Finbar Sheehan, and Vitali Moiseenko. Complexity and accuracy of image registration methods in SPECT guided radiation therapy. Physics in Medicine and Biology (PMB), 55:237-246, 2010. Keyword(s): Registration and Matching, Color/Multichannel/Vector-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = pmb2010]


  15. Andy Rova, Anna Celler, and Ghassan Hamarneh. NMQC: A NEMA-Compliant Software Application for Gamma Camera Quality Control. Journal of Digital Imaging, 21(2):243-255, 2008. Keyword(s): Imaging, Software and Tools. [bibtex-key = jdi2008b]


  16. Lisa Y. W. Tang, Ghassan Hamarneh, and Anna Celler. Validation of Mutual Information-Based Registration of CT and Bone SPECT Images in Dual-isotope Studies. Computer Methods and Programs in Biomedicine, 92(2):173-185, 2008. Keyword(s): Imaging, Registration and Matching, Validation, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = cmpb2008]


Conference articles
  1. Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, and Ghassan Hamarneh. PET-Disentangler: PET Lesion Segmentation via Disentangled Healthy and Disease Feature Representations. In The Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, pages 1, 2024. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging, Segmentation. [bibtex-key = snmmi2024]


  2. Saeed Izadi, Isaac Shiri, Carlos Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, and Ghassan Hamarneh. Context-Aware Filtering for Direct Joint Attenuation and Scatter Correction of Whole-Body PET Images. In The Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, pages 1, 2022. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = snmmi2022]


  3. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. Evaluating Explainable AI on Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?. In Association for the Advancement of Artificial Intelligence Conference (AAAI), volume 36, pages 11945-11953, 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Glioma Imaging, Machine Learning, MRI, Multimodal. [bibtex-key = aaai2022]


  4. Weina Jin and Ghassan Hamarneh. Physician-Centered Explainable AI. In Biomedical Imaging and Artificial Intelligence (BMIAI) cluster Fall Research Showcase, Vancouver, Canada, pages 1, 2021. Keyword(s): Deep Learning, Explainable AI (XAI), Glioma Imaging. [bibtex-key = bmiai2021c]


  5. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images. In International Conference on Machine Learning (ICML) workshop on Interpretable Machine Learning in Healthcare (IMLH), pages 1-13, 2021. Keyword(s): Deep Learning, Explainable AI (XAI), Glioma Imaging, Multimodal. [bibtex-key = icml_imlh2021]


  6. Chloe Lim, Hayyan Liaqat, William Siu, Ghassan Hamarneh, and George Medvedev. Future implementation of automated analysis tools for Multiple Sclerosis on conventional magnetic resonance imaging (Lim and Liaqat: Joint first authors; Hamarneh and Medvedev: Joint senior authors). In 8th joint Americas Committee for Treatment and Research in Multiple Sclerosis - European Committee for Treatment and Research in Multiple Sclerosis (joint ACTRIMS-ECTRMS), pages 1, 2020. Keyword(s): Segmentation, Software and Tools, Multiple Sclerosis, MRI. [bibtex-key = ectrms2020]


  7. Saeedeh Afshari, Aicha BenTaieb, Zahra Mirikharaji, and Ghassan Hamarneh. Weakly Supervised Fully Convolutional Network for PET Lesion Segmentation. In SPIE Medical Imaging, volume 10949, pages 1-7, 2019. Keyword(s): Deep Learning, Machine Learning, Functional/Molecular/Dynamic Imaging, Localization. [bibtex-key = spiemi2019]


  8. 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]


  9. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Molecular Level Quantification of Cav1 Clusters in Super-Resolution Imaging Data. In Frontiers in Biophysics, Vancouver, Canada, pages 1, 2017. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = frontiers_biophysics2017]


  10. 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): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = qin2017]


  11. 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]


  12. Payam Ahmadvand, Hillgan Ma, Jesse Tanguay, Anna Celler, Francois Benard, and Ghassan Hamarneh. A Level-Set based Segmentation of tumour lesions in PET images. In Quantitative Imaging Network (QIN) Annual Meeting, 2016. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging. [bibtex-key = qin2016]


  13. 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]


  14. Hengameh Mirzaalian, Ahmed Saad, and Ghassan Hamarneh. Iterative Segmentation and Motion Correction for Dynamic PET Images based on Radioactive Tracer Kinetics. In IEEE workshop on Mathematical Methods for Biomedical Image Analysis (IEEE MMBIA), pages 265-270, 2012. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation, Registration and Matching, Tracking. [bibtex-key = mmbia2012c]


  15. Bernard Ng, Rafeef Abugharbieh, and Ghassan Hamarneh. Group MRF for fMRI Activation Detection. In IEEE Computer Vision and Pattern Recognition (IEEE CVPR), pages 2887-2894, 2010. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation, Graph based. [bibtex-key = cvpr2010b]


  16. Bernard Ng, Ghassan Hamarneh, and Rafeef Abugharbieh. Detecting Brain Activation in fMRI Using Group Random Walker. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 6362, pages 331-338, 2010. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation, Graph based. [bibtex-key = miccai2010d]


  17. Bernard Ng, Arash Vahdat, Ghassan Hamarneh, and Rafeef Abugharbieh. Generalized Sparse Classifiers for Decoding Cognitive States in fMRI. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 6357, pages 108-115, 2010. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation. [bibtex-key = miccai_mlmi2010]


  18. Ahmed Saad, Torsten Moeller, and Ghassan Hamarneh. ProbExplorer: An Uncertainty-based Visual Analysis Tool for Medical Imaging. In Eurographics/IEEE-VGTC Symposium on Visualization (IEEE EuroVis) (also appears in the Special Issue of the Journal Computer Graphics Forum)., volume 29, pages 1113-1122, 2010. Keyword(s): Software and Tools, Segmentation, Uncertainty, User Interaction, Visualization, Spatio-Temporal. [bibtex-key = eurovis2010]


  19. Ben Smith, Ghassan Hamarneh, and Ahmed Saad. Fast GPU Fitting of Kinetic Models for Dynamic PET. In International Workshop on High-Performance Medical Image Computing for Image-Assisted Clinical Intervention and Decision-Making (MICCAI HP), pages 10 pages, 2010. Keyword(s): Functional/Molecular/Dynamic Imaging, Software and Tools, Fast MIA. [bibtex-key = miccai_hp2010a]


  20. Thomas Humphries, Ahmed Saad, Anna Celler, Ghassan Hamarneh, Torsten Moeller, and Manfred Trummer. Segmentation-Based Regularization of Dynamic SPECT Reconstructions. In IEEE Medical Imaging / Nuclear Science Conference (IEEE MIC/NSS), pages 2849-2852, 2009. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation. [bibtex-key = mic2009]


  21. Bernard Ng, Rafeef Abugharbieh, Ghassan Hamarneh, and Martin McKeown. Random Walker Based Estimation and Spatial Analysis of Probabilistic fMRI Activation Maps. In Medical Image Computing and Computer-Assisted Intervention Workshop on Statistical modeling and detection issues in intra- and inter-subject functional MRI data analysis (MICCAI fMRI), pages 37-44, 2009. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation, Graph based. [bibtex-key = miccai_fmri2009]


  22. Lingshu Yin, Lisa Y. W. Tang, Ghassan Hamarneh, Anna Celler, Sergey Shcherbinin, Tsien-Fei Fua, Hannah Carolan, Anna Thompson, Mitchell Liu, Cheryl Duzenli, Brad Gill, Finbar Sheehan, John Powe, Daniel Worsley, and Vitali Moiseenko. Evaluating geometrical accuracy of image registration methods in SPECT guided radiation therapy. In Medical Image Computing and Computer-Assisted Intervention Workshop on Geometric accuracy in image guided intervention (MICCAI GAIGI), pages 63-70, 2009. Keyword(s): Registration and Matching, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = miccai_gaigi2009]


  23. Lingshu Yin, Lisa Y. W. Tang, Ghassan Hamarneh, Vitali Moiseenko, Anna Celler, Sergey Shcherbinin, Tsien-Fei Fua, Anna Thompson, Mitchell Liu, Cheryl Duzenli, Brad Gill, Finbar Sheehan, John Powe, and Daniel Worsley. Quantitative evaluation on the accuracy of image registration methods in SPECT guided radiation therapy for lung cancer patients. In Canadian Organization of Medical Physicists 55th Annual Scientific Meeting (COMP), 2009. Keyword(s): Functional/Molecular/Dynamic Imaging, Registration and Matching, Multimodal. [bibtex-key = comp2009]


  24. William Ma, Ghassan Hamarneh, Greg Mori, Katie Dinelle, and Vesna Sossi. Motion Estimation for Functional Medical Imaging Studies using a Stereo Video Head Pose Tracking System. In IEEE Medical Imaging / Nuclear Science Conference (IEEE MIC/NSS), pages 4086-4090, 2008. Keyword(s): Tracking, Registration and Matching. [bibtex-key = mic2008]


  25. Ahmed Saad, Ghassan Hamarneh, Torsten Moeller, and Ben Smith. Kinetic Modeling based Probabilistic Segmentation for Molecular Images. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 5241, pages 244-252, 2008. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation, Uncertainty, Graph based. [bibtex-key = miccai2008a]


  26. Ben Smith, Ahmed Saad, Ghassan Hamarneh, and Torsten Moeller. Recovery of Dynamic PET Regions via Simultaneous Segmentation and Deconvolution. In Ghassan Hamarneh and Rafeef Abugharbieh, editors, Medical Image Computing and Computer-Assisted Intervention Workshop on Analysis of Functional Medical Image Data (MICCAI functional), pages 33-40, 2008. Keyword(s): Functional/Molecular/Dynamic Imaging, Segmentation. [bibtex-key = miccai_func2008]


  27. Lisa Y. W. Tang, Ghassan Hamarneh, and Anna Celler. Increasing Accuracy of Mutual Information-Based Registration of Tumor SPECT and CT Images with Dual-isotope Studies. In Society for Imaging Informatics in Medicine Annual Meeting (SIIM), pages 59-61, 2008. Keyword(s): Registration and Matching, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = siim2008]


  28. Ghassan Hamarneh, Aaron Ward, Chris McIntosh, Ben Smith, Lisa Y. W. Tang, Ahmed Saad, Yonas Weldeselassie, and Omer Ishaq. Medical Image Analysis. In TechMed, Vancouver, May 16, 2007. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models, Deformable Organisms, Artificial Life, Imaging, Software and Tools. [bibtex-key = techmed2007]


  29. Ahmed Saad, Ben Smith, Ghassan Hamarneh, and Torsten Moeller. Simultaneous Segmentation, Kinetic Parameter Estimation, and Uncertainty Visualization of Dynamic PET Images. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 4792, pages 726-733, 2007. Keyword(s): Segmentation, Functional/Molecular/Dynamic Imaging, Uncertainty, Graph based. [bibtex-key = miccai2007b]


  30. Anna Celler, Andy Rova, and Ghassan Hamarneh. NMQC: A NEMA-compliant software application for gamma camera quality control. In Annual meeting of the Canadian Society of Nuclear Medicine (CSNM), 2006. Keyword(s): Imaging, Software and Tools. [bibtex-key = csnm2006a]


  31. Anna Celler, Lisa Y. W. Tang, Ghassan Hamarneh, and Philip Cohen. Co-registration of CT-SPECT images for tumor localization and dosimetry. In European Association of Nuclear Medicine Annual Congress (EANM), pages 260, 2006. Keyword(s): Registration and Matching, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = eanm2006]


  32. Andy Rova, Anna Celler, and Ghassan Hamarneh. NMQC: A NEMA-compliant software application for gamma camera quality control. In Annual meeting of the Society for Computer Applications in Radiology (SCAR), pages 91-93, 2006. Keyword(s): Imaging, Software and Tools. [bibtex-key = scar2006b]


  33. Andy Rova, Anna Celler, and Ghassan Hamarneh. NMQC: A NEMA-compliant software for gamma camera quality control. In Vancouver Coastal Health Research Institute (VCHRI), 2006. Keyword(s): Imaging, Software and Tools. [bibtex-key = vchri2006a]


  34. Lisa Y. W. Tang, Anna Celler, and Ghassan Hamarneh. Co-registration and fusion of CT and SPECT images. In Annual meeting of the Canadian Society of Nuclear Medicine (CSNM), 2006. Keyword(s): Registration and Matching, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = csnm2006b]


  35. Lisa Y. W. Tang, Ghassan Hamarneh, and Anna Celler. Co-registration and fusion of CT and SPECT images using mutual information. In Vancouver Coastal Health Research Institute (VCHRI), 2006. Keyword(s): Registration and Matching, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = vchri2006b]


  36. Lisa Y. W. Tang, Ghassan Hamarneh, and Anna Celler. Co-registration of Bone CT and SPECT Images Using Mutual Information. In IEEE International Symposium on Signal Processing and Information Technology (IEEE ISSPIT), pages 116-121, 2006. Keyword(s): Registration and Matching, Multimodal, Functional/Molecular/Dynamic Imaging. [bibtex-key = isspit2006d]


  37. Josette Chen, Lee Adamson, Leila Baghdadi, Jonathan Bishop, Nick Bock, John Cargill, Lori Davidson, Jun Dazai, Stuart Foster, Ghassan Hamarneh, Natasha Kovacevic, Nir Lifshitz, Brian Nieman, Janet Rossant, John Sled, Yuqing Zhou, and Mark Henkelman. Current Progress of Imaging Screens at the Mouse Imaging Centre. In Integrated Functional Genomics of the Mouse (IFGM), 10 2003. Keyword(s): Imaging, Processing, Segmentation, Registration and Matching. [bibtex-key = ifgm2003]


  38. Mark Henkelman, Josette Chen, John Sled, John Cargill, Ghassan Hamarneh, Natasha Kovacevic, Leila Baghdadi, Stuart Foster, Yuqing Zhou, Jonathan Bishop, Nick Bock, Brian Nieman, Johnathon Walls, Lori Davidson, Jun Dazai, Nir Lifshitz, Colin McKerlie, Lee Adamson, and Janet Rossant. Imaging for Mouse Phenotyping. In 17th International Mouse Genome Conference (IMGC), 11 2003. Keyword(s): Imaging. [bibtex-key = imgc2003]


  39. Mark Henkelman, Nick Bock, Josette Chen, Ghassan Hamarneh, Natasha Kovacevic, and Stuart Foster. Parallel MR Imaging for Mouse Phenotyping. In XXth International Conference on Magnetic Resonance in Biological Systems (MRBS), pages 90, 2002. Keyword(s): Imaging. [bibtex-key = icmrbs2002]


  40. Mark Henkelman, Josette Chen, John Cargill, Nick Bock, Brian Nieman, Nir Lifshitz, Stuart Foster, Allison Duckett, John Sled, Jun Dazai, Natasha Kovacevic, Ghassan Hamarneh, Colin McKerlie, Janet Rossant, and Johnathon Walls. An Imaging Centre for Mouse Phenotyping. In 16th International Mouse Genome Conference (IMGC), 2002. Keyword(s): Imaging, Processing, Segmentation, Registration and Matching. [bibtex-key = imgc2002]


Internal reports
  1. Saeed Izadi, Isaac Shiri, Carlos Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, and Ghassan Hamarneh. Enhanced Direct Joint Attenuation and Scatter Correction of Whole-Body PET Images via Context-Aware Deep Networks. Technical report medRxiv 2022.05.26.22275662, May 2022. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = medrxiv2022_20220526]


  2. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?. Technical report arXiv:2203.06487, 3 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal. [bibtex-key = arxiv:2203.06487]


  3. Ivan Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, and Arman Rahmim. Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Technical report medrxiv:20198077, September 2020. Keyword(s): Deep Learning, Machine Learning, Radiomics, Functional/Molecular/Dynamic Imaging. [bibtex-key = medrxiv2020_20198077]


  4. Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, and Ghassan Hamarneh. Artificial Intelligence in Glioma Imaging: Challenges and Advances. Technical report arxiv:1911.12886, 11 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning. [bibtex-key = arxiv:1911.12886]


  5. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Technical report arxiv:1904.12200, 4 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Generative Adversarial Network, Multimodal. [bibtex-key = arxiv:1904.12200]


  6. Ghassan Hamarneh, Chris McIntosh, and Mark S. Drew. Perception-based Visualization of High-Dimensional Medical Images Using Distance Preserving Dimensionality Reduction. Technical report TR 2009-22, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 11 2009. Keyword(s): Color/Multichannel/Vector-valued, Visualization, Diffusion MRI/Tensor-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = sfu_cs2009_22]



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Last modified: Thu Aug 1 12:06:05 2024
Author: hamarneh.

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