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Yi Hong

The University of Georgia

Journals

  1. Genetic Load Determines Atrophy in Hand Cortico-Striatal Pathways in Presymptomatic Huntington’s Disease
    Y. Hong, L.J. O'Donnell, P. Savadjiev, F. Zhang, D. Wassermann, O. Pasternak, H. Johnson, J. Paulsen, J.P. Vonsattel, N. Makris, C.F. Westin, and Y. Rathi
    Human Brain Mapping, 2018.
  2. Parametric Regression on the Grassmannian
    Y. Hong, R. Kwitt, N. Singh, N. Vasconcelos, and M. Niethammer
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
  3. Quantitative Assessment of the Upper Airway in Infants and Children with Subglottic Stenosis
    C.J. Zdanski, S.D. Davis, Y. Hong, D. Miao, C. Quammen, S. Mitran, B. Davis, M. Niethammer, J.S. Kimbell, E. Pitkin, J. Fine, L. Fordham, B. Vaughn, and R. Superfine
    The Laryngoscope, 2016.
  4. Shape Analysis Based on Depth-Ordering
    Y. Hong, Y. Gao, M. Niethammer, and S. Bouix
    Medical Image Analysis (MedIA), 2015.
  5. Statistical Atlas Construction via Weighted Functional Boxplot
    Y. Hong, B. Davis, J.S. Marron, R. Kwitt, J. Kimbel, E. Pitkin, R. Superfine, S. Davis, C. Zdanski, and M. Niethammer
    Medical Imaging Analysis (MedIA), 2014.
  6. Geometry-Based Control of Fire Simulation
    Y. Hong, D. Zhu, X. Qiu, and Z. Wang
    The Visual Computer (TVC), 2010.
  7. Generation of Fire Animation Based on Level-Set
    Y. Hong, Z. Wang, D. Zhu, and X. Qiu
    Journal of Computer Research and Development (JCRD, in Chinese), 2010.

Conference Proceedings

  1. Hybrid Cascaded Neural Network for Liver Lesion Segmentation
    R. Dey and Y. Hong
    IEEE International Symposium on Biomedical Imaging (ISBI), 2020.
  2. SA-Net: Robust State-Action Recognition for Learning from Observations
    Nihal Soans, Yi Hong, Prashant Doshi, Ehsan Asali
    International Conference on Robotics and Automation (ICRA), 2020.
  3. CompNet: Complementary Segmentation Network for Brain MRI Extraction   [Spotlight]
    R. Dey and Y. Hong
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018.
  4. Predictive Image Regression for Longitudinal Studies with Missing Data
    S. Pathan and Y. Hong
    Medical Imaging with Deep Learning (MIDL), 2018.
  5. Diagnostic Classification of Lung Nodules Using 3D Neural Networks
    R. Dey, Z. Lu, and Y. Hong
    IEEE International Symposium on Biomedical Imaging (ISBI), 2018.
  6. Fast Geodesic Regression for Population-Based Image Analysis   [Oral Presentation]
    Y. Hong, P. Golland, and M. Zhang
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017.
  7. Regression Uncertainty on the Grassmannian   [Oral Presentation]
    Y. Hong, X. Yang, R. Kwitt, M. Styner, and M. Niethammer
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2017.
  8. Model Criticism for Regression on the Grassmannian
    Y. Hong, R. Kwitt, and M. Niethammer
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015.
  9. Group Testing for Longitudinal Data   [Oral Presentation with Open-Ended Discussion]
    Y. Hong, N. Singh, R. Kwitt, and M. Niethammer
    International Conference on Information Processing in Medical Imaging (IPMI), 2015.
  10. Depth-Based Shape Analysis   [Oral Presentation, Winner of the MICCAI Young Scientist Award]
    Y. Hong, Y. Gao, M. Niethammer, and S. Bouix
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014.
  11. Time-Warped Geodesic Regression
    Y. Hong, N. Singh, R. Kwitt, and M. Niethammer
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014.
  12. Geodesic Regression on the Grassmannian
    Y. Hong, R. Kwitt, N. Singh, N. Vasconcelos, and M. Niethammer
    European Conferences on Computer Vision (ECCV), 2014.
  13. Weighted Functional Boxplot with Application to Statistical Atlas Construction
    Y. Hong, B. Davis, J.S. Marron, R. Kwitt and M. Niethammer.
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2013.
  14. A Pediatric Airway Atlas and Its Application in Subglottic Stenosis   [Oral Presentation]
    Y. Hong, M. Niethammer, J. Andruejol, J. Kimbel, E. Pitkin, R. Superfine, S. Davis, C. Zdanski, and B. Davis
    International Symposium on Biomedical Imaging: from Nano to Macro (ISBI), 2013.
  15. Metamorphic Geodesic Regression
    Y. Hong, S. Joshi, M. Sanchez, M. Styner, and M. Niethammer
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2012.
  16. Simple Geodesic Regression for Image Time-Series   [Oral Presentation]
    Y. Hong, Y. Shi, M. Styner, M. Sanchez, and M. Niethammer
    5th International Workshop on Biomedical Image Registration (WBIR), 2012.