All Stories

  1. Trans-omics Gene-Smoking Interactions: A New Framework for Stratifying Smoking-Related Lung Cancer Risk
  2. Learning the Phenotype of Medical Hallucinations
  3. SUPER-Net: Trustworthy Image Segmentation via Uncertainty Propagation in Encoder-Decoder Networks
  4. Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication
  5. Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging
  6. HONeYBEE: Enabling Scalable Multimodal AI in Oncology Through Foundation Model-Driven Embeddings
  7. Improving Radiology Report Conciseness and Structure via Local Large Language Models
  8. IntActEval: A Continuous Framework for Quantitatively Evaluating Faithfulness of Feature Visualization Methods
  9. Experimental Design Optimization for Brain Microstructure Imaging via Automatic Differentiation
  10. Multimodal data integration for oncology in the era of deep neural networks: a review
  11. Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets
  12. Digital pathology and multimodal learning on oncology data
  13. Brain-Inspired Continual Learning: Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
  14. Efficient Scaling of Bayesian Neural Networks
  15. Efficient Scopeformer: Toward Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection
  16. EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
  17. TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs
  18. Vision Transformer and Language Model Based Radiology Report Generation
  19. Exploring robust architectures for deep artificial neural networks
  20. Failure Detection in Deep Neural Networks for Medical Imaging
  21. Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks
  22. Brain Tumor Segmentation and Surveillance with Deep Artificial Neural Networks
  23. PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks
  24. Robust Learning via Ensemble Density Propagation in Deep Neural Networks
  25. Bayes-SAR Net: Robust SAR Image Classification with Uncertainty Estimation Using Bayesian Convolutional Neural Network
  26. Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks
  27. Inception Modules Enhance Brain Tumor Segmentation
  28. Constrained Particle Filtering for Movement Identification in Forearm Prosthesis
  29. Hand Movement Discrimination Using Particle Filters
  30. Shear Waves Reveal Viscoelastic Changes in Skeletal Muscles After Hemispheric Stroke
  31. Spatial Analysis of Multichannel Surface EMG in Hemiplegic Stroke
  32. Altered viscoelastic properties of stroke-affected muscles estimated using ultrasound shear waves — Preliminary data
  33. Using surface electromyography to detect changes in innervation zones pattern after human cervical spinal cord injury
  34. Real-Time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies
  35. A three-dimensional bin-packing model: exact multicriteria solution and computational complexity
  36. Spatial analysis of muscular activations in stroke survivors
  37. Surface myoelectric signal classification using the AR-GARCH model
  38. Neural drive estimation using the hypothesis of muscle synergies and the state-constrained Kalman filter
  39. Inference of time-varying gene networks using constrained and smoothed Kalman filtering
  40. Myoelectric activity detection during a Sit-to-Stand movement using threshold methods
  41. Inference of genetic regulatory networks using regularized likelihood with covariance estimation
  42. Muscle activity detection from myoelectric signals based on the AR-GARCH model
  43. Fuzzy biomechanical sit-to-stand movement with physiological feedback latencies
  44. Biomechanical sit-to-stand movement with physiological feedback latencies