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An elastic registration framework to estimate prostate deformation in endorectal MR scans.

M. Lin, V. Parthasarathy, H. Agarwal, P. Choyke, B. Turkbey, T. Klinder, and J. Kruecker. Image-Guided Procedures, volume 8316 of SPIE Proceedings, page 831610. SPIE, (2012)

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Baris Yanik

Baris Ünver

Caroline Barisch

Baris Serifsoy

Imam Baris

Other publications of authors with the same name

Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates.S. Kadoury, P. Yan, S. Xu, N. Glossop, P. Choyke, B. Turkbey, P. Pinto, B. Wood, and J. Kruecker. Prostate Cancer Imaging, volume 6367 of Lecture Notes in Computer Science, page 52-62. Springer, (2010)A Mixed Reality Guidance System for Robot Assisted Laparoscopic Radical Prostatectomy.A. Kolagunda, S. Sorensen, S. Mehralivand, P. Saponaro, W. Treible, B. Turkbey, P. Pinto, P. Choyke, and C. Kambhamettu. OR 2.0/CARE/CLIP/ISIC@MICCAI, volume 11041 of Lecture Notes in Computer Science, page 164-174. Springer, (2018)Deeply-supervised CNN for prostate segmentation.Q. Zhu, B. Du, B. Turkbey, P. Choyke, and P. Yan. IJCNN, page 178-184. IEEE, (2017)Global structure constrained local shape prior estimation for medical image segmentation.P. Yan, W. Zhang, B. Turkbey, P. Choyke, and X. Li. Comput. Vis. Image Underst., 117 (9): 1017-1026 (2013)Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.M. To, S. Sankineni, S. Xu, B. Turkbey, P. Choyke, P. Pinto, V. Moreno, M. Merino, B. Wood, and J. Kwak. ISBI, page 438-441. IEEE, (2020)Atlas based AAM and SVM model for fully automatic MRI prostate segmentation.R. Cheng, B. Turkbey, W. Gandler, H. Agarwal, V. Shah, A. Bokinsky, E. McCreedy, S. Wang, S. Sankineni, M. Bernardo and 3 other author(s). EMBC, page 2881-2585. IEEE, (2014)VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography.Y. He, P. Guo, Y. Tang, A. Myronenko, V. Nath, Z. Xu, D. Yang, C. Zhao, B. Simon, M. Belue and 4 other author(s). CoRR, (2024)Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection.A. Chen, N. Lay, S. Harmon, K. Ozyoruk, E. Yilmaz, B. Wood, P. Pinto, P. Choyke, and B. Turkbey. ISBI, page 1-5. IEEE, (2024)A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images.Z. Chen, E. Sayar, H. Zhang, H. Richards, L. Liu, B. Turkbey, M. Haffner, and S. Harmon. AIME (2), volume 14845 of Lecture Notes in Computer Science, page 9-20. Springer, (2024)Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors.K. Ma, M. Green, E. Jagoda, J. Seidel, P. Choyke, B. Turkbey, and S. Harmon. Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)

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Disambiguation of "Turkbey, Baris"

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An elastic registration framework to estimate prostate deformation in endorectal MR scans.

Please choose a person to relate this publication to

Baris Yanik

Baris Ünver

Caroline Barisch

Baris Serifsoy

Imam Baris

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Turkbey, Baris"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An elastic registration framework to estimate prostate deformation in endorectal MR scans.

Please choose a person to relate this publication to

Baris Yanik

Baris Ünver

Caroline Barisch

Baris Serifsoy

Imam Baris

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
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An elastic registration framework to estimate prostate deformation in endorectal MR scans.