All Stories

  1. Studying how EEG and fNIRS work together to analyze brain connectivity networks.
  2. Neural networks associated with eye movements in congenital blindness
  3. Deep Learning for Grading Gliomas by Analyzing and Quantifying Tumor Microenvironment Features
  4. Explainable graph neural networks for EEG classification and seizure detection in epileptic patients
  5. Reshaped functional connectivity gradients in acute ischemic stroke
  6. Using machine learning to study brain tumor effects on brain structure and function changes
  7. Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features
  8. Investigation of Energy-Efficient AI Model Architectures and Compression Techniques for “Green” Fetal Brain Segmentation
  9. Predicting Misfolded Protein Spread in Alzheimer’s Disease with Machine Learning and Spread Models
  10. Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for A Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features
  11. Directed networks and resting-state effective brain connectivity with state-space reconstruction using reservoir computing causality
  12. An intact oculomotor neural circuit in congenital blindness
  13. 3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields
  14. Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification
  15. Community Detection in Brain Connectome using Quantum Annealer Devices
  16. Structural Reorganization Following a Brain Tumor: A Machine Learning Study Considering Desynchronized Functional Oscillations
  17. Prediction of misfolded proteins spreading in Alzheimer’s disease using machine learning
  18. Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients
  19. Structurally constrained effective brain connectivity
  20. We are connecting changes in the brain to genes.
  21. An integrated genomic approach to dissect the genetic landscape regulating the cell-to-cell transfer of α-synuclein
  22. Classification and Generation of Microscopy Images With Plasmodium Falciparum Via Artificial Neural Networks
  23. Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks
  24. BiGen: Integrative Clinical and Brain-Imaging Genetics Analysis Using Structural Equation Model
  25. An integrated genomic approach to dissect the genetic landscape regulating the cell-to-cell transfer of a-synuclein
  26. Boosting diabetes and pre-diabetes detection in rural Ghana
  27. Spreading Model for Patients with Parkinson’s Disease Based on Connectivity Differences
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  29. Overlaps in brain dynamic functional connectivity between schizophrenia and autism spectrum disorder
  30. A method to find difference in brain connections between different groups or populations
  31. Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns
  32. Genome-Wide Association Study of Brain Connectivity Changes for Alzheimer’s Disease
  33. Structurally Constrained Effective Brain Connectivity
  34. Alzheimer's gene expressions association with the brain's connectomics global features.
  35. Case-control discrimination through effective brain connectivity
  36. Connectome of Autistic Brains, Global Versus Local Characterization
  37. A system with mobile phones and portable ultrasound machines to improve prenatal care in rural areas
  38. Automatic Measurement of Venous Pressure Using B-Mode Ultrasound
  39. A novel method for merging structural and functional brain connectivity
  40. Brain Lesions, Introduction
  41. Topological Measures of Connectomics for Low Grades Glioma
  42. Automatic fetal measurements for low-cost settings by using Local Phase Bone detection
  43. Segmentation of ultrasound images of fetal anatomic structures using random forest for low-cost settings
  44. Prediction of clinical outcomes for MS patients from images
  45. Semi-automatic classification of lesion patterns in patients with clinically isolated syndrome
  46. Multiple sclerosis lesions evolution in patients with clinically isolated syndrome
  47. Shape-based Assessment of Vertebral Fracture Risk in Postmenopausal Women Using Discriminative Shape Alignment
  48. A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs
  49. Maximum a Posteriori Estimation of Linear Shape Variation With Application to Vertebra and Cartilage Modeling
  50. Unsupervised shape clustering of vertebra shapes using simulated annealing and nonlinear dimensionality reduction
  51. Bayes estimation of shape model with application to vertebrae boundaries