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DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.

A. Zakeri, A. Hokmabadi, N. Bi, I. Wijesinghe, M. Nix, S. Petersen, A. Frangi, Z. Taylor, and A. Gooya. Medical Image Anal., (2023)

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Steffen Petersen

Steffen Erhard Petersen

Frederik KrogÃ¸e-Petersen

Ursula E E Köhler

Other publications of authors with the same name

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN.L. Zhang, A. Gooya, M. Pereañez, B. Dong, S. Piechnik, S. Neubauer, S. Petersen, and A. Frangi. CoRR, (2018)Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.C. Qin, W. Bai, J. Schlemper, S. Petersen, S. Piechnik, S. Neubauer, and D. Rueckert. CoRR, (2019)Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.R. Robinson, V. Valindria, W. Bai, O. Oktay, B. Kainz, H. Suzuki, M. Sanghvi, N. Aung, J. Paiva, F. Zemrak and 12 other author(s). CoRR, (2019)Commentary on explainable artificial intelligence methods: SHAP and LIME.A. Salih, Z. Raisi-Estabragh, I. Galazzo, P. Radeva, S. Petersen, G. Menegaz, and K. Lekadir. CoRR, (2023)A radiomics approach to analyze cardiac alterations in hypertension.I. Cetin, S. Petersen, S. Napel, O. Camara, M. Ballester, and K. Lekadir. CoRR, (2020)Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.M. Ng, F. Guo, L. Biswas, S. Petersen, S. Piechnik, S. Neubauer, and G. Wright. CoRR, (2020)Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans.V. Carapella, E. Jiménez-Ruiz, E. Lukaschuk, N. Aung, K. Fung, J. Paiva, M. Sanghvi, S. Neubauer, S. Petersen, I. Horrocks and 1 other author(s). LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 238-248. (2016)Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets.L. Zhang, M. Pereañez, C. Bowles, S. Piechnik, S. Neubauer, S. Petersen, and A. Frangi. MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 651-659. Springer, (2019)Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging.E. Hann, L. Biasiolli, Q. Zhang, I. Popescu, K. Werys, E. Lukaschuk, V. Carapella, J. Paiva, N. Aung, J. Rayner and 9 other author(s). MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 750-758. Springer, (2019)Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI.V. Campello, C. Martín-Isla, C. Izquierdo, S. Petersen, M. Ballester, and K. Lekadir. STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 290-299. Springer, (2019)

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Disambiguation of "Petersen, Steffen E."

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DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.

Please choose a person to relate this publication to

Steffen Petersen

Steffen Petersen

Steffen Erhard Petersen

Frederik KrogÃ¸e-Petersen

Ursula E E Köhler

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Petersen, Steffen E."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.

Please choose a person to relate this publication to

Steffen Petersen

Steffen Petersen

Steffen Erhard Petersen

Frederik KrogÃ¸e-Petersen

Ursula E E Köhler

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
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APA
Chicago
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DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.