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Örjan Smedby

Professor of medical image processing and visualization, Department of Biomedical Engineering and Health Systems · KTH Royal Institute of Technology

https://researchid.co/orjansmedby
@kth.se
198Scopus Publications
11798Google Scholar Citations
50Google Scholar h-index
137Google Scholar i10-index

Research Interests

Medical image processing Machine learning Medical visualization

Recent Scopus Publications

  1. Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification
    Frontiers in Digital Health, 2026
  2. Anatomy-aware lymphoma lesion detection in whole-body PET/CT
    Frontiers in Oncology, 2026
  3. Kinetic modelling of [⁶⁸Ga]Ga-FAPI-46 PET in pancreaticobiliary lesions: distinguishing cancer from pancreatitis
    European Journal of Nuclear Medicine and Molecular Imaging, 2026
  4. Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
  5. Two-Stage Convolutional Neural Network for Breast CT Reconstruction
    Progress in Biomedical Optics and Imaging Proceedings of SPIE, 2025

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