All Stories

  1. Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective
  2. Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective
  3. Distinguishing between Crohn’s disease and ulcerative colitis using deep learning models with interpretability
  4. Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease
  5. Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
  6. Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
  7. U-Net Architectures for Prostate Cancer Radiation Therapy
  8. Cone Beam Computed Tomography Radiomics for Prostate Cancer: Favourable vs. Unfavourable Prognosis Prediction
  9. Deep Neural Networks to Distinguish Between Crohn’s Disease and Ulcerative Colitis
  10. Editorial of the Special Issue from WorldCIST'20
  11. Prostate Cancer Aggressiveness Prediction Using CT Images
  12. Study on Data Partition for Delimitation of Masses in Mammography
  13. An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer
  14. Deep Learning vs. Super Pixel Classification for Breast Masses Segmentation
  15. Predicting the Use of Invasive Mechanical Ventilation in ICU COVID-19 Patients
  16. Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches
  17. Multimedia systems and applications in biomedicine
  18. Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data
  19. Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs
  20. Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
  21. An iterative oversampling approach for ordinal classification
  22. Computer Vision in Esophageal Cancer: A Literature Review
  23. Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique
  24. A Personal Robot as an Improvement to the Customers’ In-store Experience
  25. Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training
  26. Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification
  27. A Personal Robot as an Improvement to the Customers’ In- Store Experience
  28. Registration of CT with PET: A Comparison of Intensity-Based Approaches
  29. Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility
  30. Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer
  31. Tool to aid specialists in breast cancer screening
  32. Using Bayesian surprise to detect calcifications in mammogram images
  33. Max-Ordinal Learning
  34. Assessment of a novel mass detection algorithm in mammograms
  35. A New Local Adaptive Mass Detection Algorithm in Mammograms
  36. Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches
  37. INbreast
  38. Max-Coupled Learning: Application to Breast Cancer
  39. Proximate amino acid, fatty acid and mineral composition of two Sudanese edible pentatomid insects
  40. Pectoral muscle detection in mammograms based on polar coordinates and the shortest path
  41. Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs
  42. European Portuguese MRI based speech production studies
  43. MRI study of coarticulation in European Portuguese
  44. Volumetric MRI acquisition and processing
  45. Simplified, validated empirical model for thermodilution cardiac output.