An Adaptive Multi-Modal Control Strategy to Attenuate the Limb Position Effect in Myoelectric Pattern Recognition. - Veronika Spieker; Amartya Ganguly; Sami Haddadin; Cristina Piazza (Sensors, 2021)

Physics-Aware Motion Simulation For T2*-Weighted Brain MRI. - Hannah Eichhorn; Kerstin Hammernik; Veronika Spieker; Samira M. Epp; Daniel Rueckert; Christine Preibisch; Julia A. Schnabel (SASHIMI@MICCAI, 2023)

ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. - Veronika Spieker; Wenqi Huang 003; Hannah Eichhorn; Jonathan K. Stelter; Kilian Weiss; Veronika A. Zimmer; Rickmer F. Braren; Dimitrios C. Karampinos; Kerstin Hammernik; Julia A. Schnabel (DGM4MICCAI, 2023)

Segmentation-guided Medical Image Registration - Quality Awareness using Label Noise Correctionn. - Varsha Raveendran; Veronika Spieker; Rickmer F. Braren; Dimitrios C. Karampinos; Veronika A. Zimmer; Julia A. Schnabel (Bildverarbeitung für die Medizin, 2024)

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI. - Hannah Eichhorn; Veronika Spieker; Kerstin Hammernik; Elisa Saks; Kilian Weiss; Christine Preibisch; Julia A. Schnabel (MICCAI (7), 2024)

Self-supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (MICCAI (7), 2024)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation. - Veronika Spieker; Hannah Eichhorn; Jonathan K. Stelter; Wenqi Huang 003; Rickmer F. Braren; Daniel Rückert; Francisco Sahli Costabal; Kerstin Hammernik; Claudia Prieto; Dimitrios C. Karampinos; Julia A. Schnabel (CoRR, 2024)

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review. - Anna Reithmeir; Veronika Spieker; Vasiliki Sideri-Lampretsa; Daniel Rueckert; Julia A. Schnabel; Veronika A. Zimmer (CoRR, 2024)

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review. - Veronika Spieker; Hannah Eichhorn; Kerstin Hammernik; Daniel Rueckert; Christine Preibisch; Dimitrios C. Karampinos; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2024)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging. - Wenqi Huang 003; Veronika Spieker; Siying Xu; Gastão Cruz; Claudia Prieto; Julia A. Schnabel; Kerstin Hammernik; Thomas Küstner; Daniel Rueckert (IPMI (1), 2025)

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI. - Veronika Spieker; Hannah Eichhorn; Wenqi Huang 003; Jonathan K. Stelter; Tabita Catalán; Rickmer F. Braren; Daniel Rueckert; Francisco Sahli Costabal; Kerstin Hammernik; Dimitrios C. Karampinos; Claudia Prieto; Julia A. Schnabel (CoRR, 2025)

Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning. - Hannah Eichhorn; Veronika Spieker; Kerstin Hammernik; Elisa Saks; Lina Felsner; Kilian Weiss; Christine Preibisch; Julia A. Schnabel (CoRR, 2025)

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI. - Daniel M. Lang 003; Richard Osuala; Veronika Spieker; Karim Lekadir; Rickmer Braren; Julia A. Schnabel (CoRR, 2025)