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Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yunjie Chen, Marius Staring, Olaf M. Neve, Stephan R. Romeijn, Erik Frans Hensen, Berit M. Verbist, +2 more
6citations -
Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques
Amirhossein Kazerouni, Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulaş Bağcı, Dorit Merhof
4citations -
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video2022 RWTH Publications (RWTH Aachen) conference-paper Computer Science Video Surveillance and Tracking Methods Open access
Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, +1 more
2citations -
AVT-ECoClass-VR: An open-source audiovisual 360° video and immersive CGI multi-talker dataset to evaluate cognitive performance2024 International Conference on Quality of Multimedia Experience (QoMEX) conference-paper Computer Science Speech and Audio Processing
Stephan Fremerey, Carolin Breuer, Larissa Leist, Maria Klatte, Janina Fels, Alexander Raake
2citations -
Optimizing Superconducting Three-Qubit Gates for Surface-Code Error Correction2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Stephan Tasler, Josias Old, Lukas Heunisch, Verena Feulner, Timo Eckstein, Markus Michael Müller, +1 more
0citations