معرفی
Kristian Lindholm serves as a Guest Researcher within the Department of Biomedical Sciences at the University of Copenhagen, specifically affiliated with the Cluster for Molecular Imaging. His research integrates computational methods with advanced medical imaging techniques to address clinical challenges in oncology.
His primary research interests include:
- Medical Imaging
- Artificial Intelligence applications in healthcare
- Neuroendocrine tumor diagnostics
- PET/CT imaging analysis
- Deep learning for tumor segmentation
- Biomedical engineering solutions
Lindholm's recent work demonstrates a clear trajectory toward leveraging convolutional neural networks for precision oncology, particularly in nuclear medicine imaging. His research bridges machine learning algorithms with clinical nuclear medicine to improve tumor quantification in neuroendocrine neoplasms, reflecting growing interdisciplinary convergence between AI and medical imaging.
He operates within the Cluster for Molecular Imaging, a specialized research environment focused on developing and applying advanced molecular imaging technologies for biomedical research and clinical translation.
