Hierarchical MoE for Multi-Modal ILD Diagnosis

arXiv:2608.25261 · cs.AI, cs.CV · Submitted 2026-08-26 · Read on arXiv

cs.AI, cs.CV

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• AUC — 15× in this paper · explained in 2 episodes
• Interpretability — 7× in this paper · explained in 15 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Mixture-of-Experts (MoE) — 2× in this paper · explained in 7 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Mixture-of-Experts (MoE) Models — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Decoupled Weight Decay Regularization
• A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
• REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis
• Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection