Search Results - "Foskey, M"

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  1. 1

    SU‐E‐J‐54: Evaluation of a Toolkit for Automatic Deformable Registration and Segmentation of Treatment Images in Clinical Prostate Cancer IGRT Applications by Xu, Z, Chaney, E, Kress, A, Tracton, G, Foskey, M, Lian, J, Chang, S

    Published in Medical Physics (01-06-2011)
    “…Purpose: High quality IGRT is only practical when robust tools are available for accurate and fast deformable registration and segmentation of the treatment…”
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    Conference Proceeding Journal Article
  2. 2

    SU‐FF‐T‐562: Interfraction Dose Variation Resulting From Anatomic Deformation in CyberKnife Prostate Radiosurgery by Schreiber, E, Foskey, M, Cullip, T, Lian, J

    Published in Medical Physics (01-06-2009)
    “…Purpose: Radiosurgery dose distributions in the prostate are often characterized by tight margins and high dose gradients, increasing the negative consequences…”
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    Conference Proceeding Journal Article
  3. 3

    SU‐FF‐J‐139: Cumulative Dose to the Rectal Wall and Implications for Prostate IGRT Treatment Planning by Foskey, M, Tracton, G, Lian, J, Tang, X, Chang, S

    Published in Medical Physics (01-06-2009)
    “…Purpose: To investigate the effect of daily variation in rectal volume and shape on dose to the anterior rectal wall in prostate IMRT. Method and Materials: A…”
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    Conference Proceeding Journal Article
  4. 4

    MO‐FF‐A3‐02: In‐Vivo Correspondence Validation of a Deformable Image Registration Method by Lian, J, Foskey, M, Wang, S, Shen, D, Chang, S

    Published in Medical Physics (01-06-2009)
    “…Purpose: During a course of radiation therapy for the prostate, organs such as the bladder and rectum may change shape significantly from day to day, causing…”
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    Conference Proceeding Journal Article
  5. 5

    SU‐FF‐J‐169: A Hybrid Deformable Registration Method to Warp Image with Contrast by Lian, J, Foskey, M, Rosenman, J, Tracton, G, Chang, S

    Published in Medical Physics (01-06-2009)
    “…Purpose: The delineation of the prostate on CT images is crucial for radiotherapy treatment planning. In order to help identify the prostate, contrast is often…”
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    Conference Proceeding Journal Article
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    SU‐FF‐I‐90: A Clinical Evaluation of the M‐Rep‐Based Automatic Prostate Segmentation by Tang, X, Kimple, R, Harris, S, Foskey, M, Tracton, G, Chang, S, Chaney, E, Pizer, S, Deschesne, K

    Published in Medical Physics (01-06-2009)
    “…Purpose: To evaluate the clinical application readiness of a statistically trainable deformable shape model, called an m‐rep, for automatic segmentation of the…”
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    Conference Proceeding Journal Article
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    SU‐FF‐I‐58: A Software Toolkit for Multi‐Image Registration and Segmentation in IGRT and ART by Foskey, M, Gash, A, Han, Q, Tracton, G, Joshi, S, Pizer, S, Chaney, E

    Published in Medical physics (Lancaster) (01-06-2007)
    “…Purpose: Extracting information from images for image‐guided and adaptive radiation therapy usually involves segmentation and/or registration with a reference…”
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    Journal Article
  12. 12

    SU‐FF‐T‐362: PLanUNC as An Open‐Source Radiotherapy Planning System for Research and Education by Schreiber, E, Xu, Z, Lorenzen, A, Foskey, M, Cullip, T, Tracton, G, Chaney, E

    Published in Medical Physics (01-06-2006)
    “…Purpose: PLanUNC is a radiotherapy planning software package that has been under development and clinical use at the University of North Carolina for…”
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    Conference Proceeding Journal Article
  13. 13

    SU‐FF‐J‐08: Calculating Biological Effective Dose in the Presence of Organ Deformation by Foskey, M, Rosenman, J, Goyal, L, Chang, S, Joshi, S

    Published in Medical physics (Lancaster) (01-06-2005)
    “…Purpose: Evaluate the total biologically effective dose (BED) delivered to the prostate over the course of treatment in ART, accommodating organ motion using…”
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    Journal Article
  14. 14

    ArtNova: touch-enabled 3D model design by Foskey, M., Otaduy, M.A., Lin, M.C.

    “…We present a system, ArtNova, for 3D model design with a haptic interface. ArtNova offers the novel capability of interactively applying textures onto 3D…”
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    Conference Proceeding
  15. 15

    Large deformation three-dimensional image registration in image-guided radiation therapy by Foskey, Mark, Davis, Brad, Goyal, Lav, Chang, Sha, Chaney, Ed, Strehl, Nathalie, Tomei, Sandrine, Rosenman, Julian, Joshi, Sarang

    Published in Physics in medicine & biology (21-12-2005)
    “…In this paper, we present and validate a framework, based on deformable image registration, for automatic processing of serial three-dimensional CT images used…”
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    Journal Article
  16. 16

    ESOLID—a system for exact boundary evaluation by Keyser, John, Culver, Tim, Foskey, Mark, Krishnan, Shankar, Manocha, Dinesh

    Published in Computer aided design (01-02-2004)
    “…We present a system, ESOLID, that performs exact boundary evaluation of low-degree curved solids in reasonable amounts of time. ESOLID performs accurate…”
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    Journal Article
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    Haptic interaction for creative processes with simulated media by Lin, M.C., Baxter, W., Foskey, M., Otaduy, M.A., Scheib, V.

    “…We present a survey of our recent research on the development of haptic interfaces for simulating creative processes with digital media, including 3D…”
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    Conference Proceeding
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    Segmenting CT prostate images using population and patient-specific statistics for radiotherapy by Qianjin Feng, Foskey, M., Songyuan Tang, Wufan Chen, Dinggang Shen

    “…This paper presents a new deformable model using both population and patient-specific statistics to segment the prostate from CT images. There are two…”
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    Conference Proceeding Journal Article
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    Split dual Dyer-Lashof operations by Foskey, Mark

    Published in Journal of pure and applied algebra (06-07-1998)
    “…For each admissible monomial of Dyer-Lashof operations Q I , we define a corresponding natural function Q ̂ I:T H ̄ ∗(X)→H ∗(Ω nΣ nX) , called a Dyer-Lashof…”
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    Journal Article
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    Support vector machine for data on manifolds: An application to image analysis by Sen, S.K., Foskey, M., Marron, J.S., Styner, M.A.

    “…The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying…”
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    Conference Proceeding