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2020 – today
- 2024
[i3]Chinmay Rao, Matthias van Osch, Nicola Pezzotti, Jeroen de Bresser, Laurens Beljaards, Jakob Meineke, Elwin de Weerdt, Huangling Lu, Mariya Doneva, Marius Staring:
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling. CoRR abs/2409.13477 (2024)- 2022
- [j5]Ronja C. Berg
, Aurore Menegaux, Thomas Amthor, Guillaume Gilbert, Maria Mora, Sarah Schlaeger, Viola Pongratz, Markus Lauerer, Christian Sorg, Mariya Doneva, Irene M. Vavasour, Mark Mühlau, Christine Preibisch:
Comparing myelin-sensitive magnetic resonance imaging measures and resulting g-ratios in healthy and multiple sclerosis brains. NeuroImage 264: 119750 (2022) - [i2]Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. CoRR abs/2212.10817 (2022) - 2021
- [c1]Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll:
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI 2021: 25-34 - 2020
- [j4]Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Fransiscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Elwin de Weerdt, Marius Staring:
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction. IEEE Access 8: 204825-204838 (2020) - [j3]Martijn Nagtegaal, Peter Koken, Thomas Amthor, Jeroen de Bresser, Burkhard Mädler, Frans Vos, Mariya Doneva:
Myelin water imaging from multi-echo T2 MR relaxometry data using a joint sparsity constraint. NeuroImage 219: 117014 (2020) - [j2]Mathews Jacob, Jong Chul Ye, Leslie Ying, Mariya Doneva:
Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. IEEE Signal Process. Mag. 37(1): 21-23 (2020) - [j1]Mariya Doneva:
Mathematical Models for Magnetic Resonance Imaging Reconstruction: An Overview of the Approaches, Problems, and Future Research Areas. IEEE Signal Process. Mag. 37(1): 24-32 (2020) - [i1]Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Fransiscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Elwin de Weerdt, Marius Staring:
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge. CoRR abs/2004.07339 (2020)
2010 – 2019
- 2011
- [b1]Mariya Doneva:
Advances in compressed sensing for magnetic resonance imaging. University of Lübeck, 2011
Coauthor Index
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