Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA.

How Effective Can Dropout Be in Multiple Instance Learning ?

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation.

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models.

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement.

Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models.

Anomaly detection based on improved k-nearest neighbor rough sets.

Knowledge distillation under ideal joint classifier assumption.

Brain Stimulation of Dorsolateral Prefrontal Cortices Influences Impulsivity in Delay Discounting Choices.

Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification.

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation.

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.

Motor Focus: Ego-Motion Prediction with All-Pixel Matching.

VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation.

Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance.

FLAME Diffuser: Grounded Wildfire Image Synthesis using Mask Guided Diffusion.

Few-shot link prediction with meta-learning for temporal knowledge graphs.

Quantification of cardiac capillarization in single-immunostained myocardial slices using weakly supervised instance segmentation.

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features.

Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach.

Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference.

Knowledge Distillation Under Ideal Joint Classifier Assumption.

RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.

Network-Level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.

DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography.

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review.

Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.

Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset.

Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention.

MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data.

Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning.

ST²: Small-data Text Style Transfer via Multi-task Meta-Learning.

Deep DIH: Single-Shot Digital In-Line Holography Reconstruction by Deep Learning.