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3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.

H. Sokooti, B. de Vos, F. Berendsen, M. Ghafoorian, S. Yousefi, B. Lelieveldt, I. Isgum, and M. Staring. CoRR, (2019)

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Müveyla Yousefi

Anthony Sahar

Amirhossein Yousefi

Saied Yousefi

Sahar Khatib

Other publications of authors with the same name

An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge.N. Pezzotti, S. Yousefi, M. Elmahdy, J. Gemert, C. Schülke, M. Doneva, T. Nielsen, S. Kastryulin, B. Lelieveldt, M. van Osch and 2 other author(s). CoRR, (2020)Evaluation of Multi-metric Registration for Online Adaptive Proton Therapy of Prostate Cancer.M. Elmahdy, T. Jagt, S. Yousefi, H. Sokooti, R. Zinkstok, M. Hoogeman, and M. Staring. WBIR, volume 10883 of Lecture Notes in Computer Science, page 94-104. Springer, (2018)3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.H. Sokooti, B. de Vos, F. Berendsen, M. Ghafoorian, S. Yousefi, B. Lelieveldt, I. Isgum, and M. Staring. CoRR, (2019)Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network.S. Yousefi, H. Sokooti, M. Elmahdy, I. Lips, M. Shalmani, R. Zinkstok, F. Dankers, and M. Staring. CoRR, (2020)Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural Network.S. Yousefi, H. Sokooti, M. Elmahdy, F. Peters, M. Shalmani, R. Zinkstok, and M. Staring. MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 343-351. Springer, (2018)DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency.A. Shaikh, M. Cochez, D. Diachkov, M. de Rijcke, and S. Yousefi. CoRR, (2023)Fast Dynamic Perfusion and Angiography Reconstruction Using an End-to-End 3D Convolutional Neural Network.S. Yousefi, L. Hirschler, M. van der Plas, M. Elmahdy, H. Sokooti, M. van Osch, and M. Staring. MLMIR@MICCAI, volume 11905 of Lecture Notes in Computer Science, page 25-35. Springer, (2019)Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.P. Johnson, G. Jeong, K. Hammernik, J. Schlemper, C. Qin, J. Duan, D. Rueckert, J. Lee, N. Pezzotti, E. de Weerdt and 31 other author(s). MLMIR@MICCAI, volume 12964 of Lecture Notes in Computer Science, page 25-34. Springer, (2021)Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer.M. Elmahdy, L. Beljaards, S. Yousefi, H. Sokooti, F. Verbeek, U. van der Heide, and M. Staring. CoRR, (2021)

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Disambiguation of "Yousefi, Sahar"

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URL
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DIN 1505
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3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.

Please choose a person to relate this publication to

Müveyla Yousefi

Anthony Sahar

Amirhossein Yousefi

Saied Yousefi

Sahar Khatib

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yousefi, Sahar"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML 3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.

Please choose a person to relate this publication to

Müveyla Yousefi

Anthony Sahar

Amirhossein Yousefi

Saied Yousefi

Sahar Khatib

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

3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.