These paper summaries were written for CMPT 880, Special Topics in AI: Medical Imaging Meets Machine Learning (Fall 2018) taught by Prof. Ghassan Hamarneh at Simon Fraser University. Each was limited to a single page with no figures, so they are brief, focused write-ups of influential papers in medical image analysis over the years. Listed below in the order they were assigned.

  1. Active Contours Without Edges, TIP 2001
  2. Snakes: Active Contour Models, IJCV 1988
  3. Stochastic Active Contour Scheme (STACS) for Image Segmentation, TMI 2005
  4. Graph Cuts for Image Segmentation, IJCV 2006
  5. Interactive Live-Wire Boundary Extraction, MedIA 1997
  6. Random Walks for Image Segmentation, TPAMI 2006
  7. Active Shape Models, CVIU 1995
  8. A Minimum Description Length Approach to Statistical Shape Modeling, TMI 2002
  9. Multiscale Vessel Enhancement Filtering, MICCAI 1998
  10. Medical Image Registration Using Mutual Information, IEEE Proceedings 2003
  11. Non-rigid Image Registration Using Graph-cuts, MICCAI 2007
  12. Nonrigid Registration Using Free-Form Deformations, TMI 1999
  13. Matching with Shape Contexts, IEEE Workshop 2000
  14. Robust Point Set Registration Using Gaussian Mixture Models, TPAMI 2011
  15. Shape Registration Using Information Theory and Free Form Deformations, TPAMI 2006
  16. Achieving Dermatologist-level Classification Performance of Skin Lesion Images, Nature 2017
  17. Feature Representation and Multi-modal Fusion using Deep Boltzmann Machine, NeuroImage 2014
  18. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation, 3DV 2016
  19. CNNs for Brain Tumor Segmentation in MRI Scans (BraTS), IEEE Transactions on Medical Imaging 2016
  20. Reinforcement Learning for Landmark Detection in 3D CT Volumes, TPAMI 2019
  21. Unsupervised Learning for Deformable Registration, MICCAI 2013
  22. Architectures, Datasets, and Transfer Learning for CNN-based CAD, IEEE Transactions on Medical Imaging 2016
  23. GAN-based Synthetic Medical Image Augmentation, Neurocomputing 2018
  24. U-Net: Convolutional Networks for Biomedical Image Segmentation, MICCAI 2015
  25. Deep NNs for Segmentation, NeurIPS 2012