| Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization | Nov 6, 2019 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis | Oct 31, 2024 | Deep LearningDiagnostic | —Unverified | 0 |
| A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis | Apr 8, 2022 | AnatomyBilevel Optimization | —Unverified | 0 |
| Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration | Aug 5, 2024 | Diagnostic | —Unverified | 0 |
| Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection | Mar 13, 2023 | DiagnosticFederated Learning | —Unverified | 0 |
| Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation | Apr 16, 2025 | DiagnosticImage Segmentation | —Unverified | 0 |
| Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface | Jan 29, 2023 | BenchmarkingBrain Computer Interface | —Unverified | 0 |
| Current Challenges in Spoken Dialogue Systems and Why They Are Critical for Those Living with Dementia | Sep 14, 2019 | Diagnosticspeech-recognition | —Unverified | 0 |
| DaTscan SPECT Image Classification for Parkinson's Disease | Sep 9, 2019 | ClassificationDiagnostic | —Unverified | 0 |
| A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series | Jan 30, 2025 | Contrastive LearningDiagnostic | —Unverified | 0 |
