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STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.

J. Xu, E. Turk, P. Grant, P. Golland, and E. Adalsteinsson. MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 197-206. Springer, (2021)

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Ali Abaci

Esra Kellermanns

Fischparasiten der bathydemersalen Zone: Charakterisierung, Verbreitungsmuster und LebenszyklenE. Kellermanns. Uni Düsseldorf, (2009)

Esra Kultas

Esra Özer

Esra Kellermanns

Other publications of authors with the same name

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.Y. Liu, N. Karani, N. Dey, S. Abulnaga, J. Xu, P. Grant, E. Turk, and P. Golland. CoRR, (2023)Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network.J. Xu, M. Zhang, E. Turk, L. Zhang, P. Grant, K. Ying, P. Golland, and E. Adalsteinsson. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 403-410. Springer, (2019)Equivariant Filters for Efficient Tracking in 3D Imaging.D. Moyer, E. Turk, P. Grant, W. III, and P. Golland. MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 193-202. Springer, (2021)AnyStar: Domain randomized universal star-convex 3D instance segmentation.N. Dey, S. Abulnaga, B. Billot, E. Turk, P. Grant, A. Dalca, and P. Golland. WACV, page 7578-7588. IEEE, (2024)A Simple Analytical Expression for the Gradient Induced Potential on Active Implants During MRI.E. Turk, E. Kopanoglu, S. Guney, K. Bugdayci, Y. Ider, V. Erturk, and E. Atalar. IEEE Trans. Biomed. Eng., 59 (10): 2845-2851 (2012)STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.J. Xu, E. Turk, P. Grant, P. Golland, and E. Adalsteinsson. MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 197-206. Springer, (2021)Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.Y. Liu, N. Karani, S. Abulnaga, J. Xu, P. Grant, E. Turk, and P. Golland. PIPPI@MICCAI, volume 14246 of Lecture Notes in Computer Science, page 77-87. Springer, (2023)Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency.J. Xu, S. Lala, B. Gagoski, E. Turk, P. Grant, P. Golland, and E. Adalsteinsson. MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 386-395. Springer, (2020)Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy.M. Zhang, J. Xu, E. Turk, P. Grant, P. Golland, and E. Adalsteinsson. MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 396-405. Springer, (2020)Placental Flattening via Volumetric Parameterization.S. Abulnaga, E. Turk, M. Bessmeltsev, P. Grant, J. Solomon, and P. Golland. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 39-47. Springer, (2019)

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Disambiguation of "Turk, Esra Abaci"

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STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.

Please choose a person to relate this publication to

Ali Abaci

Esra Kellermanns

Esra Kultas

Esra Özer

Esra Kellermanns

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Turk, Esra Abaci"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.

Please choose a person to relate this publication to

Ali Abaci

Esra Kellermanns

Esra Kultas

Esra Özer

Esra Kellermanns

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

STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning.