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Mark Rosen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski
    Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. [Citation Graph (0, 0)][DBLP]
    CVAMIA, 2006, pp:25-36 [Conf]
  2. Anant Madabhushi, Jianbo Shi, Mark Rosen, John E. Tomaszeweski, Michael D. Feldman
    Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2005, pp:729-737 [Conf]
  3. Pallavi Tiwari, Anant Madabhushi, Mark Rosen
    A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS). [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2007, pp:278-286 [Conf]

  4. A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration. [Citation Graph (, )][DBLP]

  5. Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. [Citation Graph (, )][DBLP]

  6. Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA). [Citation Graph (, )][DBLP]

  7. Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. [Citation Graph (, )][DBLP]

  8. Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data. [Citation Graph (, )][DBLP]

  9. Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. [Citation Graph (, )][DBLP]

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