Search Results - "Salganicoff, M"

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  1. 1

    Performance evaluation of a computer-aided detection algorithm for solid pulmonary nodules in low-dose and standard-dose MDCT chest examinations and its influence on radiologists by DAS, M, MÜHLENBRUCH, G, HEINEN, S, MAHNKEN, A. H, SALGANICOFF, M, STANZEL, S, GÜNTHER, R. W, WILDBERGER, J. E

    Published in British journal of radiology (01-11-2008)
    “…The aim of the study was to evaluate the performance of a computer-aided detection (CAD) algorithm in low-dose and full-dose multidetector-row CT (MDCT) of the…”
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    Journal Article
  2. 2

    Application and assessment of a robust elastic motion correction algorithm to dynamic MRI by Herrmann, K-H, Wurdinger, S, Fischer, D R, Krumbein, I, Schmitt, M, Hermosillo, G, Chaudhuri, K, Krishnan, A, Salganicoff, M, Kaiser, W A, Reichenbach, J R

    Published in European radiology (01-01-2007)
    “…The purpose of this study was to assess the performance of a new motion correction algorithm. Twenty-five dynamic MR mammography (MRM) data sets and 25…”
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    Journal Article
  3. 3

    An iris biometric system for public and personal use by Negin, M., Chmielewski, T.A., Salganicoff, M., von Seelen, U.M., Venetainer, P.L., Zhang, G.G.

    Published in Computer (Long Beach, Calif.) (01-02-2000)
    “…Much work in the emerging field of biometrics has focused on identification applications. Biometrics offers the means to identify individuals without requiring…”
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    Journal Article
  4. 4

    Active learning for vision-based robot grasping by Salganicoff, Marcos, Ungar, Lyle H., Bajcsy, Ruzena

    Published in Machine learning (1996)
    “…The IE-ID3 algorithm is described which extends the Interval Estimation (IF) active learning approach from discrete to real-valued learning domains by…”
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    Journal Article
  5. 5

    Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementation by Salganicoff, M, Sarna, M, Sax, L, Gerstein, G L

    Published in Journal of neuroscience methods (01-10-1988)
    “…We describe a new, mostly software-based device for the sorting of waveforms in an extracellular multi-neuron recording situation. The sorting algorithm is…”
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    Journal Article
  6. 6

    Clinical evaluation of a pulmonary nodule detection system by Buhmann, S., Herzog, P., Salganicoff, M., Stoeckel, J., Krishnan, A., Wolf, M., Shen, H., Reiser, M.F.

    Published in International Congress series (01-05-2005)
    “…To evaluate the effect of the prototype version of a computer-aided detection system, the so-called Lung-CAD, on the sensitivity of a cohort of community…”
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    Journal Article
  7. 7

    Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. II. Performance comparison to other sorters by Sarna, M F, Gochin, P, Kaltenbach, J, Salganicoff, M, Gerstein, G L

    Published in Journal of neuroscience methods (01-10-1988)
    “…The companion paper has described a new, fully automatic device for the sorting of action potential waveforms in real time. We present here a brief comparison…”
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    Journal Article
  8. 8

    Effective 3D object detection and regression using probabilistic segmentation features in CT images by Le Lu, Jinbo Bi, Wolf, M., Salganicoff, M.

    Published in CVPR 2011 (01-06-2011)
    “…3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In…”
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    Conference Proceeding
  9. 9

    Tolerating Concept and Sampling Shift in Lazy Learning Using Prediction Error Context Switching by Salganicoff, MARCOS

    Published in The Artificial intelligence review (01-02-1997)
    “…In their unmodified form, lazy-learning algorithms may have difficulty learning and tracking time-varying input/output function maps such as those that occur…”
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    Journal Article
  10. 10

    Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model by Le Lu, Barbu, A., Wolf, M., Jianming Liang, Salganicoff, M., Comaniciu, D.

    “…Accurate and automatic colonic polyp segmentation and measurement in Computed Tomography (CT) has significant importance for 3D polyp detection,…”
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    Conference Proceeding
  11. 11

    Robotic sensorimotor learning in continuous domains by Salganicoff, M., Bajcsy, R.K.

    “…The authors propose that some aspects of task-based learning in robotics can be approached using nativist and constructionist views on human sensorimotor…”
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    Conference Proceeding
  12. 12

    A virtual head-stick rehabilitation robot system by Salganicoff, M., Jayachandran, V., Pine, D., Rahman, T., Mahoney, R., Chen, S., Kumar, V., Harwin, W., Gonzalez, J.G.

    “…For individuals with upper-extremity motor disabilities, the head-stick is a simple and intuitive means of performing manipulations because it provides direct…”
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    Conference Proceeding
  13. 13

    CAD performance analysis for pulmonary nodule detection on thin-slice MDCT scans by Wolf, Matthias, Krishnan, Arun, Salganicoff, Marcos, Bi, Jinbo, Dundar, Murat, Fung, Glenn, Stoeckel, Jonathan, Periaswamy, Senthil, Shen, Hong, Herzog, Peter, Naidich, David P.

    Published in International Congress series (01-01-2005)
    “…Early detection of lung nodules is an important clinical indication for obtaining routine CT studies of the thorax. To date, research has mainly focused on the…”
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    Journal Article
  14. 14

    Sensar...secure/sup TM/ Iris identification system by Camus, T., Cahn von Seelen, U.M., Zhang, G.G., Venetianer, P.L., Salganicoff, M.

    “…The Sensar...Secure/sup TM/ M765-R1 Iris Identification System uses real-time stereo and eye finding technologies and the subject's unique iris pattern to…”
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    Conference Proceeding
  15. 15

    HEAP: a sensory driven distributed manipulation system by Agrawal, S., Salganicoff, M., Chan, M., Bajcsy, R.

    “…Dextrous hands used in robotic systems require equally dextrous control architectures in order to perform the complex tasks that the hands were built for. Even…”
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    Conference Proceeding
  16. 16

    Gesture-speech based HMI for a rehabilitation robot by Shoupu Chen, Kazi, Z., Beitler, M., Salganicoff, M., Chester, D., Foulds, R.

    Published in Proceedings of SOUTHEASTCON '96 (1996)
    “…One of the most challenging problems in rehabilitation robotics is the design of an efficient human-machine interface (HMI) allowing the user with a disability…”
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    Conference Proceeding