Harvard Catalyst Profiles

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Seward Brian Rutkove, M.D.

Co-Author

This page shows the publications co-authored by Seward Rutkove and Jim Wu.
Connection Strength

3.094
  1. Wu JS, Li J, Greenman RL, Bennett D, Geisbush T, Rutkove SB. Assessment of aged mdx mice by electrical impedance myography and magnetic resonance imaging. Muscle Nerve. 2015 Oct; 52(4):598-604.
    View in: PubMed
    Score: 0.685
  2. Wu JS, Darras BT, Rutkove SB. Assessing spinal muscular atrophy with quantitative ultrasound. Neurology. 2010 Aug 10; 75(6):526-31.
    View in: PubMed
    Score: 0.491
  3. Roy B, Darras BT, Zaidman CM, Wu JS, Kapur K, Rutkove SB. Exploring the relationship between electrical impedance myography and quantitative ultrasound parameters in Duchenne muscular dystrophy. Clin Neurophysiol. 2019 04; 130(4):515-520.
    View in: PubMed
    Score: 0.221
  4. Rutkove SB, Kwon H, Guasch M, Wu JS, Sanchez B. Electrical impedance imaging of human muscle at the microscopic scale using a multi-electrode needle device: A simulation study. Clin Neurophysiol. 2018 08; 129(8):1704-1708.
    View in: PubMed
    Score: 0.211
  5. Rutkove SB, Kapur K, Zaidman CM, Wu JS, Pasternak A, Madabusi L, Yim S, Pacheck A, Szelag H, Harrington T, Darras BT. Electrical impedance myography for assessment of Duchenne muscular dystrophy. Ann Neurol. 2017 May; 81(5):622-632.
    View in: PubMed
    Score: 0.196
  6. Zaidman CM, Wu JS, Kapur K, Pasternak A, Madabusi L, Yim S, Pacheck A, Szelag H, Harrington T, Darras BT, Rutkove SB. Quantitative muscle ultrasound detects disease progression in Duchenne muscular dystrophy. Ann Neurol. 2017 May; 81(5):633-640.
    View in: PubMed
    Score: 0.196
  7. Rutkove SB, Wu JS, Zaidman C, Kapur K, Yim S, Pasternak A, Madabusi L, Szelag H, Harrington T, Li J, Pacheck A, Darras BT. Loss of electrical anisotropy is an unrecognized feature of dystrophic muscle that may serve as a convenient index of disease status. Clin Neurophysiol. 2016 Dec; 127(12):3546-3551.
    View in: PubMed
    Score: 0.188
  8. Koppaka S, Shklyar I, Rutkove SB, Darras BT, Anthony BW, Zaidman CM, Wu JS. Quantitative Ultrasound Assessment of Duchenne Muscular Dystrophy Using Edge Detection Analysis. J Ultrasound Med. 2016 Sep; 35(9):1889-97.
    View in: PubMed
    Score: 0.185
  9. Zaidman CM, Wu JS, Wilder S, Darras BT, Rutkove SB. Minimal training is required to reliably perform quantitative ultrasound of muscle. Muscle Nerve. 2014 Jul; 50(1):124-8.
    View in: PubMed
    Score: 0.159
  10. Rutkove SB, Geisbush TR, Mijailovic A, Shklyar I, Pasternak A, Visyak N, Wu JS, Zaidman C, Darras BT. Cross-sectional evaluation of electrical impedance myography and quantitative ultrasound for the assessment of Duchenne muscular dystrophy in a clinical trial setting. Pediatr Neurol. 2014 Jul; 51(1):88-92.
    View in: PubMed
    Score: 0.157
  11. Srivastava T, Darras BT, Wu JS, Rutkove SB. Machine learning algorithms to classify spinal muscular atrophy subtypes. Neurology. 2012 Jul 24; 79(4):358-64.
    View in: PubMed
    Score: 0.140
  12. Pillen S, van Alfen N, Sorenson EJ, Boon AJ, Wu JS, Darras BT, Rutkove SB. Assessing spinal muscular atrophy with quantitative ultrasound. Neurology. 2011 Mar 08; 76(10):933; author reply 933-4.
    View in: PubMed
    Score: 0.128
  13. Pigula-Tresansky AJ, Wu JS, Kapur K, Darras BT, Rutkove SB, Anthony BW. Muscle compression improves reliability of ultrasound echo intensity. Muscle Nerve. 2018 03; 57(3):423-429.
    View in: PubMed
    Score: 0.050
  14. Pigula AJ, Wu JS, Gilbertson MW, Darras BT, Rutkove SB, Anthony BW. Force-controlled ultrasound to measure passive mechanical properties of muscle in Duchenne muscular dystrophy. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:2865-2868.
    View in: PubMed
    Score: 0.046
  15. Shklyar I, Geisbush TR, Mijialovic AS, Pasternak A, Darras BT, Wu JS, Rutkove SB, Zaidman CM. Quantitative muscle ultrasound in Duchenne muscular dystrophy: a comparison of techniques. Muscle Nerve. 2015 Feb; 51(2):207-13.
    View in: PubMed
    Score: 0.042
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.