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2020 – today
- 2024
[j3]Tamara T. Mueller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis:
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations. Trans. Mach. Learn. Res. 2024 (2024)- [j2]Tamara T. Müller, Sophie Starck, Kyriaki-Margarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert:
Are Population Graphs Really as Powerful as Believed? Trans. Mach. Learn. Res. 2024 (2024) - [c4]Yundi Zhang, Chen Chen
, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan:
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. MICCAI (1) 2024: 359-369 - [i8]Sophie Starck, Vasiliki Sideri-Lampretsa, Bernhard Kainz, Martin J. Menten, Tamara T. Mueller, Daniel Rueckert:
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases. CoRR abs/2403.16776 (2024) - [i7]Robert Graf, Paul-Sören Platzek, Evamaria Olga Riedel, Constanze Ramschütz, Sophie Starck, Hendrik Kristian Möller, Matan Atad, Henry Völzke, Robin Bülow, Carsten Oliver Schmidt, Julia Rüdebusch, Matthias Jung, Marco Reisert, Jakob Weiss, Maximilian Löffler, Fabian Bamberg, Bene Wiestler, Johannes C. Paetzold, Daniel Rueckert, Jan Stefan Kirschke:
TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images. CoRR abs/2406.00125 (2024) - [i6]Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan:
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. CoRR abs/2406.00329 (2024) - 2023
- [c3]Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis:
Extended Graph Assessment Metrics for Regression and Weighted Graphs. GRAIL/OCELOT@MICCAI 2023: 14-26 - [c2]Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert:
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. GRAIL/OCELOT@MICCAI 2023: 64-73 - [c1]Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert:
Body Fat Estimation from Surface Meshes Using Graph Neural Networks. ShapeMI@MICCAI 2023: 105-117 - [i5]Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, Tamara T. Mueller:
Atlas-Based Interpretable Age Prediction. CoRR abs/2307.07439 (2023) - [i4]Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis:
Extended Graph Assessment Metrics for Graph Neural Networks. CoRR abs/2307.10112 (2023) - [i3]Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert:
Body Fat Estimation from Surface Meshes using Graph Neural Networks. CoRR abs/2308.02493 (2023) - [i2]Özgün Turgut, Philip Müller, Paul Hager, Suprosanna Shit, Sophie Starck, Martin J. Menten, Eimo Martens, Daniel Rueckert:
Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI. CoRR abs/2308.05764 (2023) - [i1]Kyriaki-Margarita Bintsi, Tamara T. Mueller, Sophie Starck, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert:
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression. CoRR abs/2309.14816 (2023) - 2020
- [j1]Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., Sophie Starck, Benoît Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck:
PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing. Astron. Comput. 32: 100402 (2020)
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