| PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative models D Hein, S Holmin, T Szczykutowicz, JS Maltz, M Danielsson, G Wang, ... IEEE Transactions on Radiation and Plasma Medical Sciences, 2024 | 6 | 2024 |
| Ring artifact correction in photon-counting spectral CT using a convolutional neural network with spectral loss D Hein, K Liappis, F Grönberg, A Eguizabal, M Persson arXiv preprint arXiv:2302.00921, 2023 | 6 | 2023 |
| Deep learning ring artifact correction in photon-counting spectral CT with perceptual loss D Hein, K Liappis, A Eguizabal, M Persson 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | 4 | 2022 |
| Preference fine-tuning for factuality in Chest X-Ray interpretation models without human Feedback D Hein, Z Chen, S Ostmeier, J Xu, M Varma, EP Reis, AE Michalson, ... arXiv preprint arXiv:2410.07025, 2024 | 2 | 2024 |
| Spectral CT denoising using a conditional Wasserstein generative adversarial network D Hein, M Persson Medical Imaging 2023: Physics of Medical Imaging 12463, 700-703, 2023 | 2 | 2023 |
| Deep learning estimation of proton stopping power with photon-counting computed tomography: a virtual study K Larsson, D Hein, R Huang, D Collin, A Scotti, E Fredenberg, ... Journal of Medical Imaging 11 (S1), S12809-S12809, 2024 | 1 | 2024 |
| Physics-Inspired Generative Models in Medical Imaging: A Review D Hein, A Bozorgpour, D Merhof, G Wang arXiv preprint arXiv:2407.10856, 2024 | 1 | 2024 |
| Proton-stopping power ratio prediction using photon-counting computed tomography and deep learning K Larsson, D Hein, R Huang, D Collin, J Andersson, M Persson Medical Imaging 2024: Physics of Medical Imaging 12925, 495-506, 2024 | 1 | 2024 |
| Noise suppression in photon-counting CT using unsupervised Poisson flow generative models D Hein, S Holmin, T Szczykutowicz, JS Maltz, M Danielsson, G Wang, ... arXiv preprint arXiv:2309.01553, 2023 | 1 | 2023 |
| Generation of photon-counting spectral CT images using a score-based diffusion model D Hein, M Persson The 17th International Meeting on Fully Three-Dimensional Image …, 2023 | 1 | 2023 |
| Syn2Real: synthesis of CT image ring artifacts for deep learning-based correction D Hein, S Holmin, V Prochazka, Z Yin, M Danielsson, M Persson, G Wang Physics in Medicine and Biology, 2025 | | 2025 |
| Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models D Hein, S Holmin, T Szczykutowicz, JS Maltz, M Danielsson, G Wang, ... Visual Computing for Industry, Biomedicine, and Art 7 (1), 24, 2024 | | 2024 |
| Impact of deep-learning CT image denoising on the accuracy of radiomics parameter estimation P Pandurevic, A Back, D Hein, M Persson Medical Imaging 2024: Physics of Medical Imaging 12925, 416-430, 2024 | | 2024 |
| Poisson flow consistency models for low-dose CT image denoising D Hein, A Wang, G Wang arXiv preprint arXiv:2402.08159, 2024 | | 2024 |
| Model-based deep learning to achieve interpretable spectral CT denoising A Eguizabal, D Hein, B Sandrini, MU Persson Medical Imaging 2023: Physics of Medical Imaging 12463, 810-814, 2023 | | 2023 |
| Social Distancing AI: Using super-resolution to train an object detection model on low resolution images D Hein Bachelor's Theses in Mathematical Sciences, 2020 | | 2020 |
