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Connection

Boris Bloch to Image Interpretation, Computer-Assisted

This is a "connection" page, showing publications Boris Bloch has written about Image Interpretation, Computer-Assisted.
  1. Ginsburg SB, Viswanath SE, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors. J Magn Reson Imaging. 2015 May; 41(5):1383-93.
    View in: PubMed
    Score: 0.103
  2. Viswanath SE, Bloch NB, Chappelow JC, Toth R, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A. Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery. J Magn Reson Imaging. 2012 Jul; 36(1):213-24.
    View in: PubMed
    Score: 0.087
  3. Toth R, Bloch BN, Genega EM, Rofsky NM, Lenkinski RE, Rosen MA, Kalyanpur A, Pungavkar S, Madabhushi A. Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI. Acad Radiol. 2011 Jun; 18(6):745-54.
    View in: PubMed
    Score: 0.083
  4. Xiao G, Bloch BN, Chappelow J, Genega EM, Rofsky NM, Lenkinski RE, Tomaszewski J, Feldman MD, Rosen M, Madabhushi A. Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Comput Med Imaging Graph. 2011 Oct-Dec; 35(7-8):568-78.
    View in: PubMed
    Score: 0.081
  5. Morrin MM, Pedrosa I, McKenzie CA, Farrell RJ, Bloch N, Solazzo S, Ngo L, Goldberg SN, Rofsky NM. Parallel imaging enhanced MR colonography using a phantom model. J Magn Reson Imaging. 2008 Sep; 28(3):664-72.
    View in: PubMed
    Score: 0.069
  6. Viswanath S, Bloch BN, Genega E, Rofsky N, Lenkinski R, Chappelow J, Toth R, Madabhushi A. A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):662-9.
    View in: PubMed
    Score: 0.066
Connection Strength

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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.