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Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.

G. Zheng, C. Chu, D. Belavy, B. Ibragimov, R. Korez, T. Vrtovec, H. Hutt, R. Everson, J. Meakin, I. Andrade, B. Glocker, H. Chen, Q. Dou, P. Heng, C. Wang, D. Forsberg, A. Neubert, J. Fripp, M. Urschler, D. Stern, and M. Wimmer. Medical Image Anal., (2017)

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Jerko Bulat

Iskander Ibragimov

Muhammer Bulat

Stephan Bulat

Rashid Ibragimov

Other publications of authors with the same name

Low dose 4D-CT super-resolution reconstruction via inter-plane motion estimation based on optical flow.H. Liu, Y. Lin, B. Ibragimov, and C. Zhang. Biomed. Signal Process. Control., (2020)A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays.T. Dascalu, S. Ramezanzade, A. Bakhshandeh, L. Bjorndal, and B. Ibragimov. CoRR, (2023)3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge.A. Ben-Hamadou, O. Smaoui, A. Rekik, S. Pujades, E. Boyer, H. Lim, M. Kim, M. Lee, M. Chung, Y. Shin and 22 other author(s). CoRR, (2023)Adversarial Reconstruction Loss for Domain Generalization.I. Bekkouch, D. Nicolae, A. Khan, S. Kazmi, A. Khattak, and B. Ibragimov. IEEE Access, (2021)Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists.A. Tolkachev, I. Sirazitdinov, M. Kholiavchenko, T. Mustafaev, and B. Ibragimov. IEEE J. Biomed. Health Informatics, 25 (5): 1660-1672 (2021)Segmentation of Organs-At-Risk from Ct and Mr Images of the Head and Neck: Baseline Results.G. Podobnik, B. Ibragimov, P. Strojan, P. Peterlin, and T. Vrtovec. ISBI, page 1-4. IEEE, (2022)Semi-supervised Medical Image Classification with Temporal Knowledge-Aware Regularization.Q. Yang, X. Liu, Z. Chen, B. Ibragimov, and Y. Yuan. MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 119-129. Springer, (2022)Deep Learning for Detection of Clinical Operations in Robot-Assisted Percutaneous Renal Access.B. Ibragimov, J. Zhen, and E. Ayvali. IEEE Access, (2023)Benefits of auxiliary information in deep learning-based teeth segmentation.T. Dascalu, A. Kuznetsov, and B. Ibragimov. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Physics-based loss and machine learning approach in application to non-Newtonian fluids flow modeling.E. Kornaeva, A. Kornaev, A. Fetisov, I. Stebakov, and B. Ibragimov. CEC, page 1-8. IEEE, (2022)

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Disambiguation of "Ibragimov, Bulat"

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Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.

Please choose a person to relate this publication to

Jerko Bulat

Iskander Ibragimov

Muhammer Bulat

Stephan Bulat

Rashid Ibragimov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ibragimov, Bulat"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.

Please choose a person to relate this publication to

Jerko Bulat

Iskander Ibragimov

Muhammer Bulat

Stephan Bulat

Rashid Ibragimov

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

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.