All Stories

  1. Bioinformatics Tools, Databases, and Data Formats: A Functional Overview for Introductory Sequence-Based and NGS Workflows
  2. Comparing Ordinal Loss Functions for Heart Disease Severity Prediction
  3. Drop in Transfer Entropy between EEG Bands during Auditory Steady-State Response in Developmental Dyslexia
  4. SDG 12: Responsible Consumption and Production: Using PBL to Foster Engagement and Empower Students with Sustainable Practices
  5. Assessing the Impact of Automatic vs. Manual Segmentation on Radiomic Feature Analysis: A Prostate Cancer Study
  6. Composite Heatmaps: Interpreting Deep Models in Morph Attack Detection
  7. Multimodal Prediction of Complete Response to Chemoradiotherapy in Esophageal Cancer Using Clinical Data, Radiomics, and Deep Embeddings
  8. Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter Study
  9. Uplift Modeling for Treatment Effect Estimation in the Prostate Cancer Treatment Landscape
  10. Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation
  11. CRISPR-Cas9 and Its Bioinformatics Tools: A Systematic Review
  12. Editorial of the special section: CIARP 2023
  13. Systematic Review of Phylogenetic Analysis Techniques for RNA Viruses Using Bioinformatics
  14. Deep Learning Techniques for Detecting Morphed Face Images: A Literature Review
  15. Predicting Grades in the “Introduction to Clinical Databases” Course: Dataset Creation, Pipeline Design, and Model Evaluation
  16. Comparative Analysis of Quantitative Assessment Metrics for Liver Segmentation
  17. A Paradigm Shift in Teaching Machine Learning to Sustainable City Management Master Students
  18. Radiomic Pipelines for Prostate Cancer in External Beam Radiation Therapy: A Review of Methods and Future Directions
  19. Design and Implementation of an Introductory Course on Clinical Databases
  20. Design and Implementation of an Introductory Course on Clinical Databases
  21. Correction to: Distinguishing between Crohn’s disease and ulcerative colitis using deep learning models with interpretability
  22. Mammogram Retrieval System: Aggregating Image Classifiers for Enhanced Breast Cancer Diagnosis
  23. Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective
  24. Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective
  25. Distinguishing between Crohn’s disease and ulcerative colitis using deep learning models with interpretability
  26. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  27. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
  28. Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease
  29. Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
  30. Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
  31. U-Net Architectures for Prostate Cancer Radiation Therapy
  32. Cone Beam Computed Tomography Radiomics for Prostate Cancer: Favourable vs. Unfavourable Prognosis Prediction
  33. Deep Neural Networks to Distinguish Between Crohn’s Disease and Ulcerative Colitis
  34. Pattern Recognition and Image Analysis
  35. Development and Prospective Validation of a Fully Automatic Bi-Parametric MRI Radiomics Signature to Predict Prostate Cancer Disease Aggressiveness: A Multi-Centric Study Using Over 4000 Patients
  36. Editorial of the Special Issue from WorldCIST'20
  37. Prostate Cancer Aggressiveness Prediction Using CT Images
  38. Study on Data Partition for Delimitation of Masses in Mammography
  39. An Iterative Algorithm for Semisupervised Classification of Hotspots on Bone Scintigraphies of Patients with Prostate Cancer
  40. Deep Learning vs. Super Pixel Classification for Breast Masses Segmentation
  41. Automated Detection of COVID-19 Cases on Radiographs using Shape-Dependent Fibonacci-p Patterns
  42. Predicting the Use of Invasive Mechanical Ventilation in ICU COVID-19 Patients
  43. Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches
  44. Multimedia systems and applications in biomedicine
  45. Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data
  46. Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs
  47. Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
  48. An iterative oversampling approach for ordinal classification
  49. Computer Vision in Esophageal Cancer: A Literature Review
  50. Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique
  51. A Personal Robot as an Improvement to the Customers’ In-store Experience
  52. Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training
  53. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
  54. Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification
  55. A Personal Robot as an Improvement to the Customers’ In- Store Experience
  56. Registration of CT with PET: A Comparison of Intensity-Based Approaches
  57. Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility
  58. Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer
  59. Tool to aid specialists in breast cancer screening
  60. Using Bayesian surprise to detect calcifications in mammogram images
  61. Max-Ordinal Learning
  62. Assessment of a novel mass detection algorithm in mammograms
  63. A New Local Adaptive Mass Detection Algorithm in Mammograms
  64. Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches
  65. INbreast
  66. Max-Coupled Learning: Application to Breast Cancer
  67. Proximate amino acid, fatty acid and mineral composition of two Sudanese edible pentatomid insects
  68. Pectoral muscle detection in mammograms based on polar coordinates and the shortest path
  69. Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs
  70. European Portuguese MRI based speech production studies
  71. MRI study of coarticulation in European Portuguese
  72. Volumetric MRI acquisition and processing
  73. Simplified, validated empirical model for thermodilution cardiac output.