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Michael D. Feldman: [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. Scott Doyle, Anant Madabhushi, Michael D. Feldman, John E. Tomaszeweski
    A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2006, pp:504-511 [Conf]
  3. Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, Deborah Chute, John E. Tomaszeweski
    A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2003, pp:581-591 [Conf]
  4. 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]
  5. Yiqiang Zhan, Michael D. Feldman, John E. Tomaszeweski, Christos Davatzikos, Dinggang Shen
    Registering Histological and MR Images of Prostate for Image-Based Cancer Detection. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2006, pp:620-628 [Conf]
  6. Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, John E. Tomaszeweski, Deborah Chute
    Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:12, pp:1611-1625 [Journal]

  7. Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. [Citation Graph (, )][DBLP]


  8. Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. [Citation Graph (, )][DBLP]


  9. Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. [Citation Graph (, )][DBLP]


  10. Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. [Citation Graph (, )][DBLP]


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


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


  13. A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology. [Citation Graph (, )][DBLP]


  14. High Throughput Analysis of Breast Cancer Specimens on the Grid. [Citation Graph (, )][DBLP]


  15. Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. [Citation Graph (, )][DBLP]


  16. High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. [Citation Graph (, )][DBLP]


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