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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)

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Baris Yanik

Baris Ünver

Caroline Barisch

Baris Serifsoy

Imam Baris

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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)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)Deeply-supervised CNN for prostate segmentation.Q. Zhu, B. Du, B. Turkbey, P. Choyke, and P. Yan. IJCNN, page 178-184. IEEE, (2017)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)Active appearance model and deep learning for more accurate prostate segmentation on MRI.R. Cheng, H. Roth, L. Lu, S. Wang, B. Turkbey, W. Gandler, E. McCreedy, H. Agarwal, P. Choyke, R. Summers and 1 other author(s). Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842I. SPIE, (2016)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)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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)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)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. CoRR, (2024)

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Disambiguation of "Turkbey, Baris"

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Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.

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 Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.

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
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MSOffice XML

Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.