Tina Dorosti

Tina Dorosti is a researcher at the Technical University of Munich, affiliated with the TUM Faculty of Medicine and the Department of Physics. Her work focuses on applying artificial intelligence to medical imaging, particularly in CT and X-ray technologies.

Research Interests: Tina specializes in AI-driven medical imaging solutions, with emphasis on machine learning for disease detection, dark-field X-ray imaging, and spectral X-ray imaging. Her projects address challenges in low-dose imaging, artifact reduction, and lung volume quantification.

Publications: Her recent work (2025) includes optimizing CNNs for COPD detection in CT scans, enhancing lung tumor imaging with sparse sampling, and developing deep learning methods for lung volume estimation from chest radiographs. Earlier studies (2024-2021) explore hemorrhage detection, artifact correction, and bone segmentation in clinical imaging.

Awards:

• Cover image of the Radiology: Artificial Intelligence July 2025 issue

Collaborations: Tina collaborates with Prof. Franz Pfeiffer and colleagues at the Chair of Biomedical Physics, contributing to interdisciplinary projects in radiology, oncology, and respiratory disease diagnostics.