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Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.

B. Shirokikh, A. Dalechina, A. Shevtsov, E. Krivov, V. Kostjuchenko, A. Durgaryan, M. Galkin, A. Golanov, and M. Belyaev. CoRR, (2021)

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Alexander Belyaev

Demyan Belyaev

Orlin Belyaev

Nikolay Belyaev

Mikhail Dobrynin

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Boosting connectome classification via combination of geometric and topological normalizations.D. Petrov, Y. Dodonova, L. Zhukov, and M. Belyaev. PRNI, page 1-4. IEEE, (2016)Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.B. Shirokikh, A. Dalechina, A. Shevtsov, E. Krivov, V. Kostjuchenko, A. Durgaryan, M. Galkin, A. Golanov, and M. Belyaev. IEEE J. Biomed. Health Informatics, 26 (7): 3037-3046 (2022)Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images.M. Goncharov, V. Chernina, M. Pisov, V. Gombolevskiy, S. Morozov, and M. Belyaev. MICAD, volume 784 of Lecture Notes in Electrical Engineering, page 98-107. Springer, (2021)First U-Net Layers Contain More Domain Specific Information Than the Last Ones.B. Shirokikh, I. Zakazov, A. Chernyavskiy, I. Fedulova, and M. Belyaev. DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 117-126. Springer, (2020)Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting.A. Pimkin, A. Samoylenko, N. Antipina, A. Ovechkina, A. Golanov, A. Dalechina, and M. Belyaev. IJCNN, page 1-6. IEEE, (2020)Structural connectome validation using pairwise classification.D. Petrov, B. Gutman, A. Ivanov, J. Faskowitz, N. Jahanshad, M. Belyaev, and P. Thompson. ISBI, page 451-455. IEEE, (2017)Interpretable vertebral fracture quantification via anchor-free landmarks localization.A. Zakharov, M. Pisov, A. Bukharaev, A. Petraikin, S. Morozov, V. Gombolevskiy, and M. Belyaev. Medical Image Anal., (2023)Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency.S. Shimovolos, A. Shushko, M. Belyaev, and B. Shirokikh. J. Imaging, 8 (9): 234 (2022)Residual and plain convolutional neural networks for 3D brain MRI classification.S. Korolev, A. Safiullin, M. Belyaev, and Y. Dodonova. ISBI, page 835-838. IEEE, (2017)Classification of structural brain networks based on information divergence of graph spectra.Y. Dodonova, S. Korolev, A. Tkachev, D. Petrov, L. Zhukov, and M. Belyaev. MLSP, page 1-6. IEEE, (2016)

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Disambiguation of "Belyaev, Mikhail"

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Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.

Please choose a person to relate this publication to

Alexander Belyaev

Demyan Belyaev

Orlin Belyaev

Nikolay Belyaev

Mikhail Dobrynin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Belyaev, Mikhail"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.

Please choose a person to relate this publication to

Alexander Belyaev

Demyan Belyaev

Orlin Belyaev

Nikolay Belyaev

Mikhail Dobrynin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
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Chicago
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Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application.