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Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.

Y. Hu, E. Gibson, H. Ahmed, C. Moore, M. Emberton, and D. Barratt. Medical Image Analysis, 26 (1): 332-344 (2015)

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Mark Burkhardt University of Stuttgart

Dr. Mark Hamilton University of Stuttgart

Theodoros Markou University of Stuttgart

Dr. rer. nat. habil. Frederik Marks University of Stuttgart

Mark Schneider University of Stuttgart

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From computer-assisted intervention research to clinical impact: The need for a holistic approach.S. Ourselin, M. Emberton, and T. Vercauteren. Medical Image Analysis, (2016)Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.Y. Hu, E. Gibson, H. Ahmed, C. Moore, M. Emberton, and D. Barratt. Medical Image Analysis, 26 (1): 332-344 (2015)MR to ultrasound registration for image-guided prostate interventions.Y. Hu, H. Ahmed, Z. Taylor, C. Allen, M. Emberton, D. Hawkes, and D. Barratt. Medical Image Analysis, 16 (3): 687-703 (2012)Modelling Prostate Gland Motion for Image-Guided Interventions.Y. Hu, D. Morgan, H. Ahmed, D. Pendsé, M. Sahu, C. Allen, M. Emberton, D. Hawkes, and D. Barratt. ISBMS, volume 5104 of Lecture Notes in Computer Science, page 79-88. Springer, (2008)Conditional Segmentation in Lieu of Image Registration.Y. Hu, E. Gibson, D. Barratt, M. Emberton, J. Noble, and T. Vercauteren. CoRR, (2019)A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions.Y. Hu, D. Morgan, H. Ahmed, D. Pendsé, M. Sahu, C. Allen, M. Emberton, D. Hawkes, and D. Barratt. MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 737-744. Springer, (2008)Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.Y. Hu, E. Gibson, T. Vercauteren, H. Ahmed, M. Emberton, C. Moore, J. Noble, and D. Barratt. MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 368-376. Springer, (2017)Modelling Prostate Motion for Data Fusion During Image-Guided Interventions.Y. Hu, T. Carter, H. Ahmed, M. Emberton, C. Allen, D. Hawkes, and D. Barratt. IEEE Trans. Med. Imaging, 30 (11): 1887-1900 (2011)Label-driven weakly-supervised learning for multimodal deformable image registration.Y. Hu, M. Modat, E. Gibson, N. Ghavami, E. Bonmati, C. Moore, M. Emberton, J. Noble, D. Barratt, and T. Vercauteren. CoRR, (2017)Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy.Y. Hu, V. Kasivisvanathan, L. Simmons, M. Clarkson, S. Thompson, T. Shah, H. Ahmed, S. Punwani, D. Hawkes, M. Emberton and 2 other author(s). IEEE Trans. Biomed. Engineering, 64 (4): 946-958 (2017)

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Disambiguation of "Emberton, Mark"

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Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.

Please choose a person to relate this publication to

Mark Burkhardt University of Stuttgart

Dr. Mark Hamilton University of Stuttgart

Theodoros Markou University of Stuttgart

Dr. rer. nat. habil. Frederik Marks University of Stuttgart

Mark Schneider University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Emberton, Mark"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.

Please choose a person to relate this publication to

Mark Burkhardt University of Stuttgart

Dr. Mark Hamilton University of Stuttgart

Theodoros Markou University of Stuttgart

Dr. rer. nat. habil. Frederik Marks University of Stuttgart

Mark Schneider University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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Chicago
DIN 1505
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Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.