Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. - Thomas Sanchez; Baran Gözcü; Ruud B. van Heeswijk; Efe Ilicak; Tolga Çukur; Volkan Cevher (CoRR, 2019)

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. - Thomas Sanchez; Baran Gözcü; Ruud B. van Heeswijk; Armin Eftekhari; Efe Ilicak; Tolga Çukur; Volkan Cevher (ICASSP, 2020)

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. - Hélène Lajous; Tom Hilbert; Christopher W. Roy; Sébastien Tourbier; Priscille de Dumast; Thomas Yu; Jean-Philippe Thiran; Jean-Baptiste Ledoux; Davide Piccini; Patric Hagmann; Reto Meuli; Tobias Kober; et al. (MICCAI (2), 2020)

Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification. - Jaume Banus; Augustin Ogier; Roger Hullin; Philippe Meyer; Ruud B. van Heeswijk; Jonas Richiardi (ICASSP, 2023)

NIMOSEF: Neural Implicit Motion and Segmentation Functions. - Jaume Banus; Antoine Delaloye; Pedro M. Gordaliza; Costa Georgantas; Ruud B. van Heeswijk; Jonas Richiardi (MICCAI (11), 2025)

The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging. - Yiwei Chen; Amir Aghabiglou; Shijie Chen; Motahare Torki; Chao Tang; Ruud B. van Heeswijk; Yves Wiaux (CoRR, 2025)

Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories. - Jaume Banus; Augustin C. Ogier; Roger Hullin; Philippe Meyer; Ruud B. van Heeswijk; Jonas Richiardi (CoRR, 2025)