PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative models. - Dennis Hein; Staffan Holmin; Timothy Szczykutowicz; Jonathan S. Maltz; Mats Danielsson; Ge Wang 001; Mats Persson (CoRR, 2023)

Poisson flow consistency models for low-dose CT image denoising. - Dennis Hein; Adam S. Wang; Ge Wang 001 (CoRR, 2024)

Physics-Inspired Generative Models in Medical Imaging: A Review. - Dennis Hein; Afshin Bozorgpour; Dorit Merhof; Ge Wang 001 (CoRR, 2024)

Preference Fine-Tuning for Factuality in Chest X-Ray Interpretation Models Without Human Feedback. - Dennis Hein; Zhihong Chen; Sophie Ostmeier; Justin Xu; Maya Varma; Eduardo Pontes Reis; Arne Edward Michalson; Christian Bluethgen; Hyun Joo Shin; Curtis P. Langlotz; Akshay S. Chaudhari (CoRR, 2024)

Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models. - Dennis Hein; Staffan Holmin; Timothy Szczykutowicz; Jonathan S. Maltz; Mats Danielsson; Ge Wang 001; Mats Persson (Vis. Comput. Ind. Biomed. Art, 2024)

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback. - Dennis Hein; Zhihong Chen; Sophie Ostmeier; Justin Xu; Maya Varma; Eduardo Pontes Reis; Arne Edward Michalson; Christian Bluethgen; Hyun Joo Shin; Curtis P. Langlotz; Akshay S. Chaudhari (ACL (1), 2025)

PFCM: Poisson Flow Consistency Models for Low-Dose CT Image Denoising. - Dennis Hein; Grant M. Stevens; Adam S. Wang; Ge Wang 001 (IEEE Trans. Medical Imaging, 2025)