All Stories

  1. Integrating computational protein structure predictions and genetic dependencies yields an atlas of human multi-protein complexes (AHMPC)
  2. Application of Machine Learning to Breast MR Imaging
  3. Improving lesion volume measurements on digital mammograms
  4. Enhancing the reliability of deep learning-based head and neck tumour segmentation using uncertainty estimation with multi-modal images
  5. AI Applications to Breast MRI: Today and Tomorrow
  6. STAPLER: Efficient learning of TCR-peptide specificity prediction from full-length TCR-peptide data
  7. DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer
  8. Deep learning model for automatic contouring of cardiovascular substructures on radiotherapy planning CT images: Dosimetric validation and reader study based clinical acceptability testing
  9. Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI
  10. New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers
  11. – OFF-DIAGONAL ESTIMATES FOR THE ORNSTEIN–UHLENBECK SEMIGROUP: SOME POSITIVE AND NEGATIVE RESULTS
  12. On the integral kernels of derivatives of the Ornstein–Uhlenbeck semigroup
  13. A note on Gaussian maximal functions