Greg Slabaugh, Publications



  • Applications of Machine and Deep Learning to Thyroid Cytology and Histopathology: A Review, Greg Slabaugh, Luis Beltran, Syed M Rizvi, Panos Deloukas, Eirini Marouli, Frontiers in Oncology, 2023.
  • Misclassification Loss for Segmentation of the Aortic Vessel Tree, Abbas Khan, Muhammad Asad, Alexander Zolotarev, Caroline Roney, Anthony Mathur, Martin Benning, Gregory Slabaugh, MICCAI Workshop Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions, 2023.




  • A Multi-Hypothesis Approach to Color Constancy, Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.


  • AIM 2019 Challenge on Image Demoireing: Methods and Results, Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, et al., Advances in Image Manipulation (AIM) Workshop held in conjunction with ICCV, 2019.


  • Left Atrial Scarring Segmentation from Delayed-Enhancement Cardiac MRI Images: A Deep Learning Approach, Guang Yang, Xiahai Zhuang, Habib Khan, Eva Nyktari, Shouvik Haldar, Lei Li, Rick Wage, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firmin Cardiovascular Imaging and Image Analysis, pp 109-130.
  • Shape Analysis and Tracking of Migrating Macrophages, José Alonso Solís-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, IEEE Symposium on Biomedical Imaging (ISBI), 2018.
  • Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models, Nathan Olliverre, Guang Yang, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso, Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI) held in conjunction with MICCAI, 2018.
  • Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: Comparative Multi Day Analyses between Surface and Intramuscular EMG, Muhammad Zia ur Rehman, Syed Omer Gilani, Asim Waris, Imran Khan Niazi, Gregory Slabaugh, Dario Farina, Ernest Nlandu Kamavuako, Applied Sciences 8(12), 2018.
  • Analysis of the Interactions of Migrating Macrophages, Jose Alonso Solis-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Medical Image Understanding and Analysis, 2018.


  • Segmentation and Shape Analysis of Macrophages using Anglegram Analysis, Jose Alonso Solis-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Journal of Imaging, 2017.
  • A Fully Automatic Deep Learning Method for Atrial Scarring Segmentation from Late Gadolinium-Enhanced MRI Images, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Kyktari, Xujiong Ye, Greg Slabaugh, Tom Wong, Raad Mohaddin, Jennifer Keegan David Firman, International Symposium on Biomedical Imaging (ISBI) 2017.
  • Differentiation of Pre-ablation and Post-ablation Late Gadolinium-enhanced Cardiac MRI Scans of Longstanding Persistent Atrial Fibrillation Patients, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firman, SPIE Medical Imaging 2017.









  • 3-D statistical shape modeling and application to prototyping of hearing aids, Gozde Unal, Delphine Nain, Greg Slabaugh, Tong Fang IEEE Signal Processing and Communications Applications Conference (SIU), 2009.


  • Pearling: Stroke Segmentation with Crusted Pearl Strings, Brian Whited, Jarek Rossignac, Greg Slabaugh, Tong Fang, and Gozde Unal, the Journal of Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications , 2009. An earlier version appears in The First International Workshop on on Image Mining Theory and Applications (IMTA), 2008.
  • Guest Editorial Introduction to the Special Section on Computer Vision for Intravascular and Intracardiac Imaging, Gozde Unal, Greg Slabaugh, Ioannis Kakadiaris, Allan Tannenbaum, IEEE Transactions on Information Technology in Biomedicine (TITB) , special issue on Computer Vision for Intravascular Imaging, Vol 12(3), pp. 273-276, 2008.



  • Semi-Automatic Lymph Node Segmentation in LN-MRI, Gozde Unal, Greg Slabaugh, Andreas Ess, Anthony Yezzi, Tong Fang, Jason Tyan, Martin Requardt, Robert Krieg, Ravi Seethamraju, Mukesh Harisinghani, Ralph Weissleder, The International Conference on Image Processing (ICIP) 2006.





  • Image-Based Photo Hulls, Gregory G. Slabaugh, Ronald W. Schafer, and Mat C. Hans, The 1st International Symposium on 3DProcessing, Visualization, and Transmission (3DPVT), 2002, pp. 704 - 708.



  • Volumetric Warping for Voxel Coloring on an Infinite Domain, Greg Slabaugh, Tom Malzbender, and Bruce Culbertson, European Workshop on 3D Structure from Multiple Images for Large-Scale Environments (Pollefeys, M., Van Gool, L., Zisserman, A., and Fitzgibbon, A., Eds.), Springer LNCS 2018, 2000, pp. 109 - 123.


  • Generalized Voxel Coloring, Bruce Culbertson, Tom Malzbender, and Greg Slabaugh, Proc. of Vision Algorithms: Theory and Practice, International Workshop on Vision Algorithms (Bill Triggs, Andrew Zisserman, Richard Szeliski, Eds.), Springer-Verlag LNCS 1883, 1999, pp. 100 - 115.


Copyright: These papers are made available for individual use subject to authors' and publisher's copyright.