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Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data.

T. Silva, D. Cool, J. Yuan, C. Romagnoli, A. Fenster, and A. Ward. MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 124-131. Springer, (2013)

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Heinz Derek

Stefan Derek

Dalınç Dereköy

Derek Eisert

Derek Harting

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Intra-procedural evaluation of tumor coverage using 3D US images for percutaneous focal liver thermal ablation.S. Xing, J. Romero, D. Cool, A. Mujoomdar, L. Leite, E. Chen, T. Peters, and A. Fenster. Medical Imaging: Image-Guided Procedures, volume 12034 of SPIE Proceedings, SPIE, (2022)Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts.E. Gibson, M. Gaed, W. Hrinivich, J. Gómez, M. Moussa, C. Romagnoli, J. Mandel, M. Bastian-Jordan, D. Cool, S. Ghoul and 6 other author(s). Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410N. SPIE, (2014)Assessment of registration accuracy in three-dimensional transrectal ultrasound images of prostates.V. Karnik, A. Fenster, J. Bax, D. Cool, L. Gardi, I. Gyacskov, C. Romagnoli, and A. Ward. Medical Imaging: Image-Guided Procedures, volume 7625 of SPIE Proceedings, page 762516. SPIE, (2010)Robust 2-D-3-D Registration Optimization for Motion Compensation During 3-D TRUS-Guided Biopsy Using Learned Prostate Motion Data.T. Silva, D. Cool, J. Yuan, C. Romagnoli, J. Samarabandu, A. Fenster, and A. Ward. IEEE Trans. Medical Imaging, 36 (10): 2010-2020 (2017)Optimizing MRI-targeted fusion prostate biopsy: the effect of systematic error and anisotropy on tumor sampling.P. Martin, D. Cool, C. Romagnoli, A. Fenster, and A. Ward. Medical Imaging: Image-Guided Procedures, volume 9415 of SPIE Proceedings, page 94151J. SPIE, (2015)How does prostate biopsy guidance error impact pathologic cancer risk assessment?P. Martin, M. Gaed, J. Gómez, M. Moussa, E. Gibson, D. Cool, J. Chin, S. Pautler, A. Fenster, and A. Ward. Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 97861J. SPIE, (2016)Prostate lesion detection and localization based on locality alignment discriminant analysis.M. Lin, W. Chen, M. Zhao, E. Gibson, M. Bastian-Jordan, D. Cool, Z. Kassam, T. Chow, A. Ward, and B. Chiu. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101344A. SPIE, (2017)3D ultrasound imaging in image-guided intervention.A. Fenster, J. Bax, H. Neshat, D. Cool, N. Kakani, and C. Romagnoli. EMBC, page 6151-6154. IEEE, (2014)Evaluating the utility of 3D TRUS image information in guiding intra-procedure registration for motion compensation.T. Silva, D. Cool, C. Romagnoli, A. Fenster, and A. Ward. Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90361B. SPIE, (2014)Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis.M. Shahedi, A. Fenster, D. Cool, C. Romagnoli, and A. Ward. Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 86710N. SPIE, (2013)

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Disambiguation of "Cool, Derek W."

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Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data.

Please choose a person to relate this publication to

Heinz Derek

Stefan Derek

Dalınç Dereköy

Derek Eisert

Derek Harting

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Cool, Derek W."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data.

Please choose a person to relate this publication to

Heinz Derek

Stefan Derek

Dalınç Dereköy

Derek Eisert

Derek Harting

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data.