Applications

  1. convexAdam: Fast and accurate optimisation for registration with little learning
  2. denoiseg: Joint Denoising and Segmentation
  3. Active Learning with HRNet: Deep High-Resolution Representation Learning for Visual Recognition
  4. SAM, SAM++ and Cross-SAM: match arbitrary anatomical landmarks between two radiological images (e.g. CT, MR, X-ray, etc.)

Publications

  1. Artificial intelligence for synchrotron-radiation tomography: Julian P. Moosmann et al., Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC1265502, doi: 10.1117/12.2675628
  2. Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning: A.Hering et al., , doi: 10.48550/arXiv.2112.04489