Mr Sidong Liu

Research Fellow
Neuroimaging
Central Clinical School / Save Sight Institute

Member of China Studies Centre

Member of the Brain and Mind Centre


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Selected publications

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Book Chapters

  • Xie, Y., Zhang, J., Liu, S., Cai, W., Xia, Y. (2017). Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. In Henning Muller, B. Michael Kelm, Tal Arbel, Weidong Cai et al. (Eds.), Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016: Revised Selected Papers, (pp. 116-125). Cham: Springer. [More Information]

Journals

  • Liu, S., Stuart, G., Schulz, A., Kalloniatis, M., Zangerl, B., Cai, W., Gao, Y., Chua, B., Arvind Srinivasan, H., Grigg, J., Klistorner, A., You, Y., et al (2018). A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs. Ophthalmology Glaucoma, 1(1), 15-22. [More Information]
  • Wan, T., Qu, B., Du, H., Lin, X., Lin, Q., Wang, D., Cazorla, C., Li, S., Liu, S., Chu, D. (2018). Digital to analog resistive switching transition induced by graphene buffer layer in strontium titanate based devices. Journal of Colloid and Interface Science, 512, 767-774. [More Information]
  • Klistorner, A., Wang, C., Yiannikas, C., Parratt, J., Dwyer, M., Barton, J., Graham, S., You, Y., Liu, S., Barnett, M. (2018). Evidence of progressive tissue loss in the core of chronic MS lesions: A longitudinal DTI study. NeuroImage: Clinical, 17, 1028-1035. [More Information]
  • Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2016). Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging. Frontiers in Aging Neuroscience, 8, 1-15. [More Information]
  • Zhang, F., Song, Y., Cai, W., Hauptmann, A., Liu, S., Pujol, S., Kikinis, R., Fulham, M., Feng, D., Chen, M. (2016). Dictionary pruning with visual word significance for medical image retrieval. Neurocomputing, 177, 75-88. [More Information]
  • Zhang, F., Song, Y., Cai, W., Liu, S., Liu, S., Pujol, S., Kikinis, R., Xia, Y., Fulham, M., Feng, D. (2016). Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. IEEE Transactions On Biomedical Engineering, 63(5), 1058-1069. [More Information]
  • Liu, S., Zhang, D., Liu, S., Feng, D., Peng, H., Cai, W. (2016). Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking. Neuroinformatics, 14(4), 387-401. [More Information]
  • Liu, S., Liu, S., Cai, W., Che, H., Pujol, S., Kikinis, R., Feng, D., Fulham, M. (2015). Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimers's Disease. IEEE Transactions On Biomedical Engineering, 62(4), 1132-1140. [More Information]
  • Liu, S., Cai, W., Liu, S., Zhang, F., Fulham, M., Feng, D., Pujol, S., Kikinis, R. (2015). Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain Informatics, 2(3), 167-180. [More Information]
  • Liu, S., Cai, W., Liu, S., Zhang, F., Fulham, M., Feng, D., Pujol, S., Kikinis, R. (2015). Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain Informatics, 2(3), 181-195. [More Information]
  • Liu, S., Liu, S., Cai, W. (2014). High-level feature based PET image retrieval with deep learning architecture. The Journal of Nuclear Medicine, 55.
  • Liu, S., Cai, W., Wen, L., Feng, D., Pujol, S., Kikinis, R., Fulham, M., Eberl, S. (2014). Multi-Channel Neurodegenerative Pattern Analysis and Its Application in Alzheimer's Disease Characterization. Computerized Medical Imaging and Graphics, 38(6), 436-444. [More Information]
  • Zhang, F., Song, Y., Liu, S., Cai, W. (2014). Semantic association for neuroimaging classification of PET images. The Journal of Nuclear Medicine, 55.
  • Liu, S., Cai, W., Song, Y., Feng, D., Pujol, S., Kikinis, R., Wen, L. (2013). Sparse auto-encoded hypo-metabolism patterns in Alzheimer's disease and mild cognitive impairment. The Journal of Nuclear Medicine, 54(1807).
  • Liu, S., Cai, W., Wen, L., Feng, D. (2012). Semantic-word-based Image Retrieval for Neurodegenerative Disorders. The Journal of Nuclear Medicine.

Conferences

  • Huang, Q., Liu, S., Fulham, M., Feng, D., Pujol, S., Westin, C., Kikinis, R., Cai, W. (2016). An Automated Python Pipeline for Modeling the Cerebral White Matter Pathways with Diffusion-Weighted Imaging. 2016 Society for Neuroscience (SfN) Annual Meeting (Neuroscience 2016), Washington DC: The Society for Neuroscience.
  • Liu, S., Song, Y., Zhang, F., Feng, D., Fulham, M., Cai, W. (2016). Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation. 8th International Conference on Brain Informatics and Health (BIH 2016), Cham, Switzerland: Springer International Publishing. [More Information]
  • Zhang, D., Liu, S., Liu, S., Feng, D., Peng, H., Cai, W. (2016). Reconstruction of 3D Neuron Morphology using Rivulet Back-Tracking. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Hadi, N., Liu, S., Pujol, S., Kikinis, R., Zhang, F., Feng, D., Cai, W. (2015). Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image. Multimodal Retrieval in the Medical Domain 2015 (MRMD 2015), Cham: Springer International Publishing. [More Information]
  • Liu, S., Liu, S., Zhang, F., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2015). Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes? 12th IEEE International Symposium on Biomedical Imaging (ISBI 2015), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhang, F., Song, Y., Liu, S., Young, P., Traini, D., Morgan, L., Ong, H., Buddle, L., Liu, S., Feng, D., Cai, W. (2015). Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Cham: Springer International Publishing. [More Information]
  • Liu, S., Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2015). Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis. 1st Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015), Cham, Switzerland: Springer. [More Information]
  • Zhang, F., Song, Y., Cai, W., Hauptmann, A., Liu, S., Liu, S., Feng, D., Chen, M. (2015). Ranking-based Vocabulary Pruning in Bag-of-Features for Image Retrieval. 1st Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015), Cham, Switzerland: Springer. [More Information]
  • Liu, S., Cai, W., Liu, S., Pujol, S., Kikinis, R., Feng, D. (2015). Subject-Centered Multi-View Feature Fusion for Neuroimaging Retrieval and Classification. 2015 IEEE International Conference on Image Processing (ICIP 2015), Quebec City: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Cai, W., Liu, S., Song, Y., Pujol, S., Kikinis, R., Feng, D. (2014). A 3D Difference-Of-Gaussian-Based Lesion Detector For Brain PET. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE).
  • Cai, W., Zhang, F., Song, Y., Liu, S., Wen, L., Eberl, S., Fulham, M., Feng, D. (2014). Automated Feedback Extraction for Medical Imaging Retrieval. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Che, H., Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2014). Co-neighbor multi-view spectral embedding for medical content-based retrieval. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2014). Early diagnosis of Alzheimer's disease with deep learning. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ng, G., Song, Y., Cai, W., Zhou, Y., Liu, S., Feng, D. (2014). Hierarchical and binary spatial descriptors for lung nodule image retrieval. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhang, F., Song, Y., Liu, S., Pujol, S., Kikinis, R., Feng, D., Cai, W. (2014). Latent Semantic Association for Medical Image Retrieval. The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Liu, S., Pujol, S., Kikinis, R., Feng, D., Cai, W. (2014). Propagation graph fusion for multi-modal medical content-based retrieval. The 13th International Conference on Control, Automation, Robotics and Vision, Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Zhang, L., Cai, W., Song, Y., Wang, Z., Wen, L., Feng, D. (2013). A Supervised Multiview Spectral Embedding Method for Neuroimaging Classification. 2013 20th IEEE International Conference on Image Processing (ICIP 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhang, L., Liu, S., Wang, Z., Cai, W., Song, Y., Feng, D. (2013). Graph Cuts based Relevance Feedback in Image Retrieval. 2013 20th IEEE International Conference on Image Processing (ICIP 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Song, Y., Pujol, S., Kikinis, R., Wen, L., Feng, D. (2013). Localized Sparse Code Gradient in Alzheimer's Disease Staging. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Feng, D. (2013). Multi-Channel Brain Atrophy Pattern Analysis in Neuroimaging Retrieval. 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, California: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Song, Y., Cai, W., Pujol, S., Kikinis, R., Wang, X., Feng, D. (2013). Multifold Bayesian Kernelization in Alzheimer's Diagnosis. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Berlin: Springer. [More Information]
  • Liu, S., Cai, W., Wen, L., Feng, D. (2013). Neuroimaging Biomarker Based Prediction of Alzheimer's Disease Severity with Optimized Graph Construction. 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, California: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Feng, D. (2012). Multiscale and multiorientation feature extraction and degenerative patterns for 3D Neuroimaging retrieval. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2011). Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2011). Localized functional neuroimaging retrieval using 3D discrete curvelet transform. 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI11, Chicago, ILL USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2011). Optimized Pathological and Visual Content-based Neuroimaging Retrieval. SPIE Medical Imaging 2011, United States: SPIE Press.
  • Liu, S., Cai, W., Wen, L., Feng, D. (2011). Volumetric Congruent Local Binary Patterns for 3D Neurological Image Retrieval. 26th International Conference Image and Vision Computing New Zealand (IVCNZ 2011), New York: Association for Computing Machinery (ACM).
  • Cai, W., Liu, S., Wen, L., Eberl, S., Fulham, M., Feng, D. (2010). 3D Neurological Image Retrieval with Localized Pathology-Centric CMRGLC Patterns. 2010 IEEE 17th International Conference on Image Processing (ICIP 2010), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2010). A Robust Volumetric Feature Extraction Approach for 3D Neuroimaging Retrieval. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2010), Buenos Aires, Argentina,: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2018

  • Liu, S., Stuart, G., Schulz, A., Kalloniatis, M., Zangerl, B., Cai, W., Gao, Y., Chua, B., Arvind Srinivasan, H., Grigg, J., Klistorner, A., You, Y., et al (2018). A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs. Ophthalmology Glaucoma, 1(1), 15-22. [More Information]
  • Wan, T., Qu, B., Du, H., Lin, X., Lin, Q., Wang, D., Cazorla, C., Li, S., Liu, S., Chu, D. (2018). Digital to analog resistive switching transition induced by graphene buffer layer in strontium titanate based devices. Journal of Colloid and Interface Science, 512, 767-774. [More Information]
  • Klistorner, A., Wang, C., Yiannikas, C., Parratt, J., Dwyer, M., Barton, J., Graham, S., You, Y., Liu, S., Barnett, M. (2018). Evidence of progressive tissue loss in the core of chronic MS lesions: A longitudinal DTI study. NeuroImage: Clinical, 17, 1028-1035. [More Information]

2017

  • Xie, Y., Zhang, J., Liu, S., Cai, W., Xia, Y. (2017). Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. In Henning Muller, B. Michael Kelm, Tal Arbel, Weidong Cai et al. (Eds.), Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016: Revised Selected Papers, (pp. 116-125). Cham: Springer. [More Information]

2016

  • Huang, Q., Liu, S., Fulham, M., Feng, D., Pujol, S., Westin, C., Kikinis, R., Cai, W. (2016). An Automated Python Pipeline for Modeling the Cerebral White Matter Pathways with Diffusion-Weighted Imaging. 2016 Society for Neuroscience (SfN) Annual Meeting (Neuroscience 2016), Washington DC: The Society for Neuroscience.
  • Liu, S., Song, Y., Zhang, F., Feng, D., Fulham, M., Cai, W. (2016). Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation. 8th International Conference on Brain Informatics and Health (BIH 2016), Cham, Switzerland: Springer International Publishing. [More Information]
  • Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2016). Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging. Frontiers in Aging Neuroscience, 8, 1-15. [More Information]
  • Zhang, F., Song, Y., Cai, W., Hauptmann, A., Liu, S., Pujol, S., Kikinis, R., Fulham, M., Feng, D., Chen, M. (2016). Dictionary pruning with visual word significance for medical image retrieval. Neurocomputing, 177, 75-88. [More Information]
  • Zhang, F., Song, Y., Cai, W., Liu, S., Liu, S., Pujol, S., Kikinis, R., Xia, Y., Fulham, M., Feng, D. (2016). Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. IEEE Transactions On Biomedical Engineering, 63(5), 1058-1069. [More Information]
  • Zhang, D., Liu, S., Liu, S., Feng, D., Peng, H., Cai, W. (2016). Reconstruction of 3D Neuron Morphology using Rivulet Back-Tracking. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Zhang, D., Liu, S., Feng, D., Peng, H., Cai, W. (2016). Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking. Neuroinformatics, 14(4), 387-401. [More Information]

2015

  • Liu, S., Hadi, N., Liu, S., Pujol, S., Kikinis, R., Zhang, F., Feng, D., Cai, W. (2015). Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image. Multimodal Retrieval in the Medical Domain 2015 (MRMD 2015), Cham: Springer International Publishing. [More Information]
  • Liu, S., Liu, S., Zhang, F., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2015). Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes? 12th IEEE International Symposium on Biomedical Imaging (ISBI 2015), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhang, F., Song, Y., Liu, S., Young, P., Traini, D., Morgan, L., Ong, H., Buddle, L., Liu, S., Feng, D., Cai, W. (2015). Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Cham: Springer International Publishing. [More Information]
  • Liu, S., Liu, S., Cai, W., Che, H., Pujol, S., Kikinis, R., Feng, D., Fulham, M. (2015). Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimers's Disease. IEEE Transactions On Biomedical Engineering, 62(4), 1132-1140. [More Information]
  • Liu, S., Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2015). Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis. 1st Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015), Cham, Switzerland: Springer. [More Information]
  • Liu, S., Cai, W., Liu, S., Zhang, F., Fulham, M., Feng, D., Pujol, S., Kikinis, R. (2015). Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain Informatics, 2(3), 167-180. [More Information]
  • Liu, S., Cai, W., Liu, S., Zhang, F., Fulham, M., Feng, D., Pujol, S., Kikinis, R. (2015). Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain Informatics, 2(3), 181-195. [More Information]
  • Zhang, F., Song, Y., Cai, W., Hauptmann, A., Liu, S., Liu, S., Feng, D., Chen, M. (2015). Ranking-based Vocabulary Pruning in Bag-of-Features for Image Retrieval. 1st Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015), Cham, Switzerland: Springer. [More Information]
  • Liu, S., Cai, W., Liu, S., Pujol, S., Kikinis, R., Feng, D. (2015). Subject-Centered Multi-View Feature Fusion for Neuroimaging Retrieval and Classification. 2015 IEEE International Conference on Image Processing (ICIP 2015), Quebec City: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2014

  • Cai, W., Liu, S., Song, Y., Pujol, S., Kikinis, R., Feng, D. (2014). A 3D Difference-Of-Gaussian-Based Lesion Detector For Brain PET. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE).
  • Cai, W., Zhang, F., Song, Y., Liu, S., Wen, L., Eberl, S., Fulham, M., Feng, D. (2014). Automated Feedback Extraction for Medical Imaging Retrieval. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Che, H., Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2014). Co-neighbor multi-view spectral embedding for medical content-based retrieval. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Liu, S., Cai, W., Pujol, S., Kikinis, R., Feng, D. (2014). Early diagnosis of Alzheimer's disease with deep learning. The IEEE International Symposium on Biomedical Imaging (ISBI 2014), Piscataway, New Jersey, United States of America: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ng, G., Song, Y., Cai, W., Zhou, Y., Liu, S., Feng, D. (2014). Hierarchical and binary spatial descriptors for lung nodule image retrieval. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Liu, S., Cai, W. (2014). High-level feature based PET image retrieval with deep learning architecture. The Journal of Nuclear Medicine, 55.
  • Zhang, F., Song, Y., Liu, S., Pujol, S., Kikinis, R., Feng, D., Cai, W. (2014). Latent Semantic Association for Medical Image Retrieval. The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2014), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Feng, D., Pujol, S., Kikinis, R., Fulham, M., Eberl, S. (2014). Multi-Channel Neurodegenerative Pattern Analysis and Its Application in Alzheimer's Disease Characterization. Computerized Medical Imaging and Graphics, 38(6), 436-444. [More Information]
  • Liu, S., Liu, S., Pujol, S., Kikinis, R., Feng, D., Cai, W. (2014). Propagation graph fusion for multi-modal medical content-based retrieval. The 13th International Conference on Control, Automation, Robotics and Vision, Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhang, F., Song, Y., Liu, S., Cai, W. (2014). Semantic association for neuroimaging classification of PET images. The Journal of Nuclear Medicine, 55.

2013

  • Liu, S., Zhang, L., Cai, W., Song, Y., Wang, Z., Wen, L., Feng, D. (2013). A Supervised Multiview Spectral Embedding Method for Neuroimaging Classification. 2013 20th IEEE International Conference on Image Processing (ICIP 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhang, L., Liu, S., Wang, Z., Cai, W., Song, Y., Feng, D. (2013). Graph Cuts based Relevance Feedback in Image Retrieval. 2013 20th IEEE International Conference on Image Processing (ICIP 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Song, Y., Pujol, S., Kikinis, R., Wen, L., Feng, D. (2013). Localized Sparse Code Gradient in Alzheimer's Disease Staging. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Feng, D. (2013). Multi-Channel Brain Atrophy Pattern Analysis in Neuroimaging Retrieval. 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, California: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Song, Y., Cai, W., Pujol, S., Kikinis, R., Wang, X., Feng, D. (2013). Multifold Bayesian Kernelization in Alzheimer's Diagnosis. 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), Berlin: Springer. [More Information]
  • Liu, S., Cai, W., Wen, L., Feng, D. (2013). Neuroimaging Biomarker Based Prediction of Alzheimer's Disease Severity with Optimized Graph Construction. 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, California: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Song, Y., Feng, D., Pujol, S., Kikinis, R., Wen, L. (2013). Sparse auto-encoded hypo-metabolism patterns in Alzheimer's disease and mild cognitive impairment. The Journal of Nuclear Medicine, 54(1807).

2012

  • Liu, S., Cai, W., Wen, L., Feng, D. (2012). Multiscale and multiorientation feature extraction and degenerative patterns for 3D Neuroimaging retrieval. 2012 19th IEEE International Conference on Image Processing (ICIP 2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Feng, D. (2012). Semantic-word-based Image Retrieval for Neurodegenerative Disorders. The Journal of Nuclear Medicine.

2011

  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2011). Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2011). Localized functional neuroimaging retrieval using 3D discrete curvelet transform. 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI11, Chicago, ILL USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2011). Optimized Pathological and Visual Content-based Neuroimaging Retrieval. SPIE Medical Imaging 2011, United States: SPIE Press.
  • Liu, S., Cai, W., Wen, L., Feng, D. (2011). Volumetric Congruent Local Binary Patterns for 3D Neurological Image Retrieval. 26th International Conference Image and Vision Computing New Zealand (IVCNZ 2011), New York: Association for Computing Machinery (ACM).

2010

  • Cai, W., Liu, S., Wen, L., Eberl, S., Fulham, M., Feng, D. (2010). 3D Neurological Image Retrieval with Localized Pathology-Centric CMRGLC Patterns. 2010 IEEE 17th International Conference on Image Processing (ICIP 2010), USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Liu, S., Cai, W., Wen, L., Eberl, S., Fulham, M., Feng, D. (2010). A Robust Volumetric Feature Extraction Approach for 3D Neuroimaging Retrieval. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2010), Buenos Aires, Argentina,: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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