| Das, Ranit; Favaro, Luigi; Heimel, Theo; Krause, Claudius; Plehn, Tilman; Shih, David | How to understand limitations of generative networks | | |
| Koval, Karina; Herzog, Roland; Scheichl, Robert | Tractable Optimal Experimental Design using Transport Maps | | |
| Sorrenson, Peter; Draxler, Felix; Rousselot, Armand; Hummerich, Sander; Köthe, Ullrich | Learning Distributions on Manifolds with Free-form Flows | | |
| Draxler, Felix; Sorrenson, Peter; Zimmermann, Lea; Rousselot, Armand; Köthe, Ullrich | Free-form Flows: Make Any Architecture a Normalizing Flow | Proceedings of The 27th International Conference on Artificial Intelligence and Statistics | |
2024 | Schmitt, Marvin; Bürkner, Paul-Christian; Köthe, Ullrich; Radev, Stefan T. | Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks | Pattern Recognition |
| Rauch, Julian; Laun, Frederik B.; Bachert, Peter; Ladd, Mark E.; Kuder, Tristan A. | Compensation of concomitant field effects in double diffusion encoding by means of added oscillating gradients | Magnetic Resonance Imaging | |
| Rix, Tom; Dreher, Kris K.; Schellenberg, Melanie; Nölke, Jan-Hinrich; Seitel, Alexander; Maier-Hein, Lena | Efficient photoacoustic image synthesis with Fourier neural operator networks | Photons Plus Ultrasound: Imaging and Sensing 2024 | |
| Dreher, Kris K.; Schellenberg, Melanie; Nölke, Jan-Hinrich; Rix, Tom; Seitel, Alexander; Maier-Hein, Lena | Unsupervised domain transfer for realistic photoacoustic image simulation | Photons Plus Ultrasound: Imaging and Sensing 2024 | |
| Barley, Daniel; Fröning, Holger | Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning | | |
| Rix, Tom; Dreher, Kris K.; Nölke, Jan-Hinrich; Schellenberg, Melanie; Tizabi, Minu D.; Seitel, Alexander; Maier-Hein, Lena | Efficient Photoacoustic Image Synthesis with Deep Learning | | |
2023 | Dreher, Kris K.; Ayala, Leonardo; Schellenberg, Melanie; Hübner, Marco; Nölke, Jan-Hinrich; Adler, Tim J.; Seidlitz, Silvia; Sellner, Jan; Studier-Fischer, Alexander; Gröhl, Janek; Nickel, Felix; Köthe, Ullrich; Seitel, Alexander; Maier-Hein, Lena | Unsupervised Domain Transfer with Conditional Invertible Neural Networks | Medical Image Computing and Computer Assisted Intervention ? MICCAI 2023 |
| Adler, Tim J.; Nölke, Jan-Hinrich; Reinke, Annika; Tizabi, Minu Dietlinde; Gruber, Sebastian; Trofimova, Dasha; Ardizzone, Lynton; Jaeger, Paul F.; Buettner, Florian; Köthe, Ullrich; Maier-Hein, Lena | Application-driven Validation of Posteriors in Inverse Problems | | |
| Sorrenson, Peter; Draxler, Felix; Rousselot, Armand; Hummerich, Sander; Zimmermann, Lea; Koethe, Ullrich | Lifting Architectural Constraints of Injective Flows | | |
| Draxler, Felix; Kühmichel, Lars; Rousselot, Armand; Müller, Jens; Schnoerr, Christoph; Koethe, Ullrich | On the Convergence Rate of Gaussianization with Random Rotations | Proceedings of the 40th International Conference on Machine Learning | |
| Radev, Stefan T.; Schmitt, Marvin; Pratz, Valentin; Picchini, Umberto; Köthe, Ullrich; Bürkner, Paul-Christian | Jana: Jointly amortized neural approximation of complex Bayesian models | Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence | |
| Schumacher, Lukas; Bürkner, Paul-Christian; Voss, Andreas; Köthe, Ullrich; Radev, Stefan T. | Neural superstatistics for Bayesian estimation of dynamic cognitive models | | |
| Tavakoli, Anoshirwan Andrej; Hielscher, Thomas; Badura, Patrick; Görtz, Magdalena; Kuder, Tristan Anselm; Gnirs, Regula; Schwab, Constantin; Hohenfellner, Markus; Schlemmer, Heinz-Peter; Bonekamp, David | Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer | | |
| Tharmaseelan, Hishan; Vellala, Abhinay K.; Hertel, Alexander; Tollens, Fabian; Rotkopf, Lukas T.; Rink, Johann; Wo?nicki, Piotr; Ayx, Isabelle; Bartling, Sönke; Nörenberg, Dominik; Schoenberg, Stefan O.; Froelich, Matthias F. | Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning | | |
| Schellenberg, Melanie; Dreher, Kris K.; Holzwarth, Niklas; Isensee, Fabian; Reinke, Annika; Schreck, Nicholas; Seitel, Alexander; Tizabi, Minu D.; Maier-Hein, Lena; Gröhl, Janek | Semantic segmentation of multispectral photoacoustic images using deep learning | | |
| Schellenberg, Melanie; Gröhl, Janek; Dreher, Kris K.; Nölke, Jan-Hinrich; Holzwarth, Niklas; Tizabi, Minu D.; Seitel, Alexander; Maier-Hein, Lena | Photoacoustic image synthesis with generative adversarial networks | | |
