All Stories

  1. An exploration of structural brain differences in Autism Spectrum Disorders: A multi-parcellation and multi-age analysis
  2. Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation
  3. A One-Class Variational Autoencoder (OCVAE) Cascade for Classifying Atypical Bone Marrow Cell Sub-types
  4. A supervised subtype differentiation learning for building invariant features of non-small cell lung cancer in a latent space of a Variational Autoencoder
  5. Identifying Cross-Scale Associations between Radiomic and Pathomic Signatures of Non-Small Cell Lung Cancer Subtypes: Preliminary Results
  6. Radiomic Texture and Shape Descriptors of the Rectal Environment on Post-Chemoradiation T2-Weighted MRI are Associated with Pathologic Tumor Stage Regression in Rectal Cancers: A Retrospective, Multi-Institution Study
  7. Cell density features from histopathological images to differentiate non-small cell lung cancer subtypes
  8. Adaptive frequency saliency model based on convolutional neural networks: a case study for prostate cancer MRI
  9. Autism Spectrum Disorder characterization in children by capturing local‐regional brain changes
  10. Differentiating Cancerous and Non-cancerous Prostate Tissue Using Multi-scale Texture Analysis on MRI
  11. Tele-Pathology: A Use Case In Colombia
  12. STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI
  13. Autism Spectrum Disorders (ASD) Characterization in Children by Decomposing MRI Brain Regions with Zernike Moments
  14. Extracting multiscale patterns for classification of non-small cell lung cancer in CT images
  15. A multiresolution prostate representation for automatic segmentation in MRI
  16. Human features extraction by using anatomical and low level image descriptors from whole body images