ASR for Under-Resourced Languages From Probabilistic Transcription. - Mark A. Hasegawa-Johnson; Preethi Jyothi; Daniel McCloy; Majid Mirbagheri; Giovanni M. Di Liberto; Amit Das 007; Bradley Ekin; Chunxi Liu; Vimal Manohar; Hao Tang 002; Edmund C. Lalor; Nancy F. Chen; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Reinforced optimal control. - Christian Bayer 001; Denis Belomestny; Paul Hager; Paolo Pigato; John Schoenmakers; Vladimir G. Spokoiny (CoRR, 2020)

SmartPhase: Accurate and fast phasing of heterozygous variant pairs for genetic diagnosis of rare diseases. - Paul Hager; Hans-Werner Mewes; Meino Rohlfs; Christoph Klein 001; Tim Jeske (PLoS Comput. Biol., 2020)

Randomized Optimal Stopping Algorithms and Their Convergence Analysis. - Christian Bayer 001; Denis Belomestny; Paul Hager; Paolo Pigato; John Schoenmakers (SIAM J. Financial Math., 2021)

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data. - Paul Hager; Martin J. Menten; Daniel Rueckert (CVPR, 2023)

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. - Leonhard F. Feiner; Martin J. Menten; Kerstin Hammernik; Paul Hager; Wenqi Huang 003; Daniel Rueckert; Rickmer F. Braren; Georgios Kaissis (UNSURE@MICCAI, 2023)

Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI. - Özgün Turgut; Philip Müller; Paul Hager; Suprosanna Shit; Sophie Starck; Martin J. Menten; Eimo Martens; Daniel Rueckert (CoRR, 2023)

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. - Chengzhi Shen; Martin J. Menten; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; Hendrik P. N. Scholl; Sobha Sivaprasad; Andrew J. Lotery; Daniel Rueckert; Paul Hager; Robbie Holland (MICCAI (11), 2024)

Specialist vision-language models for clinical ophthalmology. - Robbie Holland; Thomas R. P. Taylor; Christopher Holmes; Sophie Riedl; Julia Mai; Maria Patsiamanidi; Dimitra Mitsopoulou; Paul Hager; Philip Müller; Hendrik P. N. Scholl; Hrvoje Bogunovic; Ursula Schmidt-Erfurth; et al. (CoRR, 2024)

Self-Supervised Radiograph Anatomical Region Classification - How Clean Is Your Real-World Data? - Simon Langer; Jessica Johanna Maria Ritter; Rickmer Braren; Daniel Rueckert; Paul Hager (CoRR, 2024)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets. - David Mildenberger; Paul Hager; Daniel Rueckert; Martin J. Menten (CVPR, 2025)

Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging. - Özgün Turgut; Philip Müller; Paul Hager; Suprosanna Shit; Sophie Starck; Martin J. Menten; Eimo Martens; Daniel Rueckert (Medical Image Anal., 2025)

Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond. - Yundi Zhang; Paul Hager; Che Liu; Suprosanna Shit; Chen Chen 042; Daniel Rueckert; Jiazhen Pan (CoRR, 2025)