All Stories

  1. SDG 12: Responsible Consumption and Production: Using PBL to Foster Engagement and Empower Students with Sustainable Practices
  2. Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation
  3. CRISPR-Cas9 and Its Bioinformatics Tools: A Systematic Review
  4. Systematic Review of Phylogenetic Analysis Techniques for RNA Viruses Using Bioinformatics
  5. Deep Learning Techniques for Detecting Morphed Face Images: A Literature Review
  6. A Paradigm Shift in Teaching Machine Learning to Sustainable City Management Master Students
  7. Radiomic Pipelines for Prostate Cancer in External Beam Radiation Therapy: A Review of Methods and Future Directions
  8. Design and Implementation of an Introductory Course on Clinical Databases
  9. Design and Implementation of an Introductory Course on Clinical Databases
  10. Mammogram Retrieval System: Aggregating Image Classifiers for Enhanced Breast Cancer Diagnosis
  11. Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective
  12. Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective
  13. Distinguishing between Crohn’s disease and ulcerative colitis using deep learning models with interpretability
  14. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  15. Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease
  16. Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
  17. Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
  18. U-Net Architectures for Prostate Cancer Radiation Therapy
  19. Cone Beam Computed Tomography Radiomics for Prostate Cancer: Favourable vs. Unfavourable Prognosis Prediction
  20. Deep Neural Networks to Distinguish Between Crohn’s Disease and Ulcerative Colitis
  21. Pattern Recognition and Image Analysis
  22. Editorial of the Special Issue from WorldCIST'20
  23. Prostate Cancer Aggressiveness Prediction Using CT Images
  24. Study on Data Partition for Delimitation of Masses in Mammography
  25. An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer
  26. Deep Learning vs. Super Pixel Classification for Breast Masses Segmentation
  27. Predicting the Use of Invasive Mechanical Ventilation in ICU COVID-19 Patients
  28. Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches
  29. Multimedia systems and applications in biomedicine
  30. Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data
  31. Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs
  32. Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
  33. An iterative oversampling approach for ordinal classification
  34. Computer Vision in Esophageal Cancer: A Literature Review
  35. Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique
  36. A Personal Robot as an Improvement to the Customers’ In-store Experience
  37. Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training
  38. Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification
  39. A Personal Robot as an Improvement to the Customers’ In- Store Experience
  40. Registration of CT with PET: A Comparison of Intensity-Based Approaches
  41. Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility
  42. Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer
  43. Tool to aid specialists in breast cancer screening
  44. Using Bayesian surprise to detect calcifications in mammogram images
  45. Max-Ordinal Learning
  46. Assessment of a novel mass detection algorithm in mammograms
  47. A New Local Adaptive Mass Detection Algorithm in Mammograms
  48. Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches
  49. INbreast
  50. Max-Coupled Learning: Application to Breast Cancer
  51. Proximate amino acid, fatty acid and mineral composition of two Sudanese edible pentatomid insects
  52. Pectoral muscle detection in mammograms based on polar coordinates and the shortest path
  53. Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs
  54. European Portuguese MRI based speech production studies
  55. MRI study of coarticulation in European Portuguese
  56. Volumetric MRI acquisition and processing
  57. Simplified, validated empirical model for thermodilution cardiac output.